Category Archives: Final Project

Links to entries

If I were a developmental biologist: https://blogs.ubc.ca/joannebiol463/2018/09/11/if-i-were-a-developmental-biologist/

Project question: https://blogs.ubc.ca/joannebiol463/2018/09/29/final-project-question/

project outline: https://blogs.ubc.ca/joannebiol463/2018/12/03/final-project-outline/

project draft: https://blogs.ubc.ca/joannebiol463/2018/12/03/project-draft/

final final project: https://blogs.ubc.ca/joannebiol463/2018/12/04/final-final-project/

annotated bibliography: https://blogs.ubc.ca/joannebiol463/2018/12/03/annotated-bibliography/

how you went about developing your project: https://blogs.ubc.ca/joannebiol463/2018/12/03/pathway-to-our-final-final-project/

Final Final Project

Long noncoding RNA UCA1: Function in Cisplatin Resistance in Neuroblastoma Cell Lines

Shannah Fisher and Joanne Lim

Background

Neuroblastoma is a childhood malignancy in the sympathetic nervous system and accounts for 15% of all deaths in pediatric cancer patients (Piskareva et al, 2015). Cisplatin, a platinum based cytotoxic drug, is one of the most common chemotherapy agents used to treat neuroblastoma (Dasari and Tchounwou, 2014). However, a large proportion of patients are resistant to cisplatin-based therapies either at the beginning of treatment or after ongoing exposure to treatment (Galluzzi, 2012). In order to effectively treat cancer, it is important to understand the mechanism of cancer resistance and find ways to prevent their effect (Ayers and Vandesompele, 2017).

 

Cisplatin resistance is not only found in neuroblastoma but also in other cancers, including breast, cervical, lung and bladder cancer (Dasari and Tchounwou, 2014). Mechanisms of cisplatin resistance include change in the signaling pathways, silencing of certain genes by miRNA, changes to the cell cycle, development of an efflux system, and DNA repair (Chen, 2017). Several studies have also revealed that long non-coding RNAs (lncRNAs) are involved in chemoresistance to cisplatin by interacting with histone modification tools and with other chromatin regulatory factors (Guttman et al., 2011).

 

Long non-coding RNAs (lncRNAs) are evolutionary conserved gene transcripts of over 200 nucleotides that do not encode proteins (Ponting et al., 2009). They are involved in regulation of gene expression at the transcriptional, post-transcriptional, and translational levels (Moran et al., 2012) either by directly interacting with a target gene (cis-acting) or by interacting with transcription factors (trans-acting) (Ponting et al., 2009). A variety of lncRNAs such as HOTAIR, MALAT1, and UCA1 have been found to play an important role in carcinogenesis, metastasis, prognosis and treatment. In particular, Urothelial cancer-associated 1 (UCA1), a lncRNA that has a regulatory function in proliferation of cells, has been found to play a major role in development of cisplatin resistance in bladder cancer, breast cancer, hepatocellular carcinoma, ovarian cancer, and tongue squamous cell carcinoma (Wang et al., 2017).

 

Studies looking at cisplatin resistance in numerous cancers have found a relationship between lncRNA UCA1 and changes in expression levels of genes that are involved in the cells susceptibility to treatment (Wang et al, 2017). This includes a study performed by Wang et al, where expression levels of 42 genes were found to change by at least two-fold in the presence of UCA1 in bladder cancer, including an upregulation of Wnt signaling pathway member 6 (Wnt6), CYP1A1 (a cytochrome) and AURKC (kinase) and a downregulation of methyl‐CpG binding domain protein 3 (MBD3) and SR (serine/arginine‐rich) protein‐specific kinase 1 (SRPK1). These results are verified by several other studies looking further into the effects of UCA1 on gene expression in bladder cancer and ovarian cancer (Fan et al, 2014; Wang et al, 2015).

Relevance

The function of lncRNA UCA1 in cisplatin resistance has never been studied  neuroblastoma, posing a gap in knowledge that could be vital to finding effective treatment methods for patients who are resisting this drug. Although UCA1 has been studied in other cancers, we cannot assume that the effect of UCA1 will be conserved across all cancer types, including neuroblastoma. For example, lncRNA MALAT1 functions as a tumor suppressor gene in breast cancer (Eastlack, 2018), but as a promoter of tumor growth and metastasis in oral squamous cell carcinoma (Zhou, 2015). Therefore, it is possible that lncRNA UCA1 may take a unique function depending on the cancer cell type.

 

Therefore, we propose a study that will determine the function of lncRNA UCA1 in cisplatin resistance specific to neuroblastoma cell lines and identify the changes in expression levels of various genes at high levels and in absence of lncRNA UCA1. This research would serve as a first step in understanding and finding better treatment methods for neuroblastoma patients who are resistant to cisplatin drug treatments. As a next step, the validation of UCA1 as a biomarker for drug resistance could serve as novel drug targets and could ultimately lead to the development of antagonists and/or mimics for adjunct therapy with traditional cisplatin treatment methods (Ayers and Vandesompele, 2017). In addition, RNA directed therapy could be used in patients who are highly resistant to the treatment, reducing the discomfort of patients by permitting a lower treatment dosage (Ayers and Vandesompele, 2017). Lastly, a UCA1 biomarker could be quantified in patients through RT-qPCR assays and provide pre-emptive knowledge to oncologists on the best drug combination treatment for each patient (Ayers and Vandesompele, 2017).

Hypothesis

Several studies investigating the molecular mechanisms of lncRNA UCA1 in promoting cisplatin resistance have found that it is involved in silencing of tumor suppressor genes and inducing expression of multidrug resistant proteins (Wang et. al, 2017). We hypothesize that upregulated expression of lncRNA UCA1 is associated with increased resistance to cisplatin in neuroblastoma cell lines, accompanied by changes in the expression of other genes. This will further determine if the role of lncRNA UCA1 is conserved in neuroblastoma compared to other cancer types that have already been studied.

Experimental Plan

Figure 1: Overview of Experimental Plan

Cisplatin resistance after induced changes in lncRNA UCA1 expression

In order to assess whether upregulated expression of lncRNA UCA1 is associated with resistance to cisplatin in neuroblastoma, we will manipulate the levels of UCA1 via knockdown and overexpression in neuroblastoma cell lines. A cell viability assessment will be performed on susceptible SK-N-AS cell line that will be overexpressed with UCA1 and resistant SK-N-ASrCDDP500 cell line that will knockdown expression of UCA1.

Other experiments investigating the function of lncRNA have mapped lncRNA binding sites to the genome after manipulating its expression level (Luo, 2016). However, this technique only gives information on how lncRNA regulates gene expression in cis. Alternatively, the system we propose that manipulates UCA1 levels, will allow us to study the changes in resistance to cisplatin by UCA1, and identify the genes that are potentially affected by UCA1 expression that may lead to resistance. The challenge to our experiment is that when we overexpress lncRNA UCA1 via UCA1 gene transfection, isoforms of the UCA1 gene other than lncRNA UCA1 can be formed. These isoforms may have an effect on cisplatin resistance mechanisms and expression of genes. As a strategy to overcome this challenge, we will silence the isoforms.

As a preliminary experiment, the level of UCA1 expression in cisplatin susceptible SK-N-AS cell line and cisplatin resistant SK-N-AsrCDDP500 cell line will be measured. If lncRNA UCA1 is involved in inducing cisplatin resistance in neuroblastoma, we would expect higher levels of UCA1 in SK-N-AsrCDDP500 cells than in SK-N-AS cells. For the purpose of this project, we design our manipulative experiments assuming that higher levels of UCA1 is observed in the resistant SK-N-ASrCDDP500. If we observe higher UCA1 in susceptible cells, then we should knockdown UCA1 in susceptible cells instead.

Differential Gene Expression Analysis

To quantify changes in RNA expression levels between all conditions, an expression profile analysis will be performed on all RNA samples. RNA will be extracted in equal amounts from all conditions: lncRNA UCA1 knockdown in cisplatin resistant cell lines and lncRNA UCA1 overexpression in cisplatin susceptible cell lines. RNA will also be extracted from susceptible and resistant cell lines with no change in lncRNA UCA1, which serves as a control. All of the extracts will be sequenced and analysed. In comparison to microarrays and qPCR, RNA-seq would allow us to look at differential expression of a broader dynamic range of genes. A summary of the steps and tools that will be used are outlined in Figure 2, with a detailed pipeline in Materials and Methods.

Materials and Methods

Cell lines: Susceptible and Resistant  

Both cell lines will be purchased from the Michaelis Lab, UK. SK-N-AS cells are parental cells of SK-N-ASrCPPD500, which have gained cisplatin resistance. We chose the same lineage of neuroblastoma with the effort to keep the cells to be as genetically similar as possible.

lncRNA UCA1 Overexpression

lncRNA UCA1 will be overexpressed in the susceptible SK-N-AS cell line via plasmid DNA transfection of the UCA1 gene. Both plasmid DNA transfection and RNA transfection are valid methods for overexpression of RNA. However, plasmid DNA transfection is a better method because lncRNA UCA1 will be produced for multiple rounds of replication from the transfected plasmid (Hayashi et al., 2010). In an RNA based transfection, the overexpression of lncRNA UCA1 will rapidly decrease as RNA degrades. A recombinant plasmid of pcDNA-UCA1 will be constructed by inserting UCA1 gene into pcDNA3.1. The recombinant plasmid will be transfected into SK-N-AS cells using Lipofectamine 2000 from Thermo Fisher Scientific (2018). Transfected cells that stably express UCA1 will be selected by RT-PCR. Cells transfected with pcDNA3.1 will also be tested as a negative control to ensure that the transfection procedure does not alter the expression of UCA1 (Wang et. al, 2014).

lncRNA UCA1 Knockdown

Short hairpin RNA (ShRNA) will be used to knockdown lncRNA UCA1 because it is a powerful silencing technique that imitates the endogenous RNA interference mechanism and allows for long term knockdown (Luo, 2016). The scrambled shRNA control (Si-NC) and siRNA that targets lncRNA UCA1 will be purchased from Thermo Fisher Scientific to show that the shRNA protocol does not alter the expression of UCA1. sh-UCA1 lentivirus will be constructed and infected into SK-N-AS cells, which will then be screened with puromycin over 7 days (Fang et. al, 2017). Successful knockdown of lncRNA UCA1 will be assessed using RT-PCR. To prevent UCA1 isoforms from affecting our results, shRNA against isoform RNAs will be transfected as well.

Cisplatin treatment and cell viability assessment  

The cisplatin treatment procedure outlined by Piskareva (2015) will be adapted.  SK-N-AS cells and SK-N-ASrCDDP500 cells will be seeded at 10^4 cells/mL on two separate 96-well plates with 100µL medium per well. The plate will be incubated overnight and will be treated with cisplatin at multiple concentrations the following day. Cell proliferation will be monitored over 5 days. In order to assess the degree to which the cells gain cisplatin resistance, we will perform the MTT assay as described by Wang et al (2008) and therefore measure cell viability.

RNA Extraction

RNA will be extracted from each of the conditions with TRIzol reagent, with twelve replicates for each condition, as recommended by Mortazavi, et al (2008). The purity of total RNA will be evaluated using the A260/A280 ratio of sample absorbance at 260 and 280 nm using NanoDrop ND-1000 (Thermo Fisher Scientific, 2011). Integrity of RNA samples will be measured using the 28S/18S ratio based on a densitometry plot using Agilent 2100 Bioanalyzer.

RNA Illumina Sequencing

RNA-seq will be performed using Illumina HiSeq™ 2000 Sequencing System with paired end sequences for improved accuracy. In order to have a high enough coverage, we will generate ~15-25 million reads per sample, as recommended by Mortazavi, et al (2008). Sequence read quality will be analyzed with the pass/fail metrics of the program FASTQC.

Sequence Alignment

Sequence alignment will be performed using the program STAR and quality of alignment will be measured using RSeQC.

Gene-based Read Counting

Transcript quantification will be calculated using the R package, featureCounts, to generate integer-based read counts for each gene.

Differential Gene Expression Analysis

To analyze the differential gene expression between samples, we will use the R package, DESeq. Genes with a fold change > 2 and p-value < 0.05 will be considered to have a significant change in expression levels. To validate mRNA-seq data, 5 samples will be randomly chosen to run through qRT-PCR for analysis.

Predictions

We predict that knocking down lncRNA UCA1 in SK-N-ASrCDDP500 resistant cell line will result in a rapid decrease in percent cell viability over increasing concentrations of cisplatin and the overexpression of lncRNA UCA1 in SK-N-AS cell lines will result in an increase in percent cell viability.

 

Type of Experiment SK-N-ASrCDDP500 cells (resistant) SK-N-AS cells (susceptible)
lncRNA UCA1 KD % viability rapid decrease
lncRNA UCA1 OX % viability higher than control susceptible cells
Control (no manipulation) % viability higher than susceptible cells Extremely low to zero % viability

Figure 3. Change in cisplatin resistance by knockdown or overexpression of lncRNA UCA1

Differential Gene Expression Analysis

Experiments performing gene expression analysis after manipulating levels of lncRNA UCA1 in the presence and absence of cisplatin continue to show similar changes in RNA expression profiles across cancers that have been studied (Wang et al, 2017). In neuroblastoma, we predict expression analysis to follow suit with other cancers and show a decrease in expression levels in Wnt6, CYP1A1, and AURKC and an increase in expression levels in MBD3 and SRPK1 in the cisplatin resistant knockout lncRNA UCA1 cell line compared to its resistant cell line control (Figure 5). We predict the opposite pattern in UCA1 overexpressed cisplatin susceptible cell line compared to its control, as shown in figure 5.

 

Results

Result 1: Hypothesis is not rejected and predictions are confirmed

We would see a higher percent cell viability when UCA1 is knocked down in the resistant cell line as concentration of cisplatin increases compared to its control, and a higher percent cell viability when UCA1 is overexpressed in the susceptible cell line compared to its control (Figure 4). We would also see changes in expression levels of RNA from the expression analysis in both the knockdown and overexpression of lncRNA UCA1 relative to controls of their respective cell lines (Figure 5). The expression profile of resistant cell line control and susceptible cell line with overexpression would be similar. We can conclude that high levels of lncRNA UCA1 is both sufficient and necessary to increase the percent viability of neuroblastoma cells with increasing doses of cisplatin and to change the expression levels of RNA in the cell lines studied.

 

SK-N-ASrCDDP500 (resistant)              SK-N-AS (susceptible)

 

Figure 4: Percent cell viability of neuroblastoma cells measured in increasing concentration of cisplatin. Percent viability is higher in control SK-N-ASrCDDP500 than knockdown of UCA1. Percent viability is higher in SK-N-AS overexpressed with UCA1 than the control SK-N-AS.

Type of Experiment Expression levels compared to resistant SK-N-ASrCDDP500 control Expression levels compared to susceptible SK-N-AS control
lncRNA UCA1 Knocked down in SK-N-ASrCDDP500 (resistant) Change in RNA expression

For instance:

Downregulated:

Wnt6, CYP1A1, AURKC

Upregulated:

MBD3, SRPK1

may have similar RNA expression patterns
lncRNA UCA1 Overexpressed in SK-N-AS (susceptible) Similar RNA expression Change in expression

For instance:

Upregulated:

Wnt6, CYP1A1, AURKC

Downregulated:

MBD3, SRPK1

Figure 5: Table of possible result 1 for the expression profile analysis

Remarks

We may infer that lncRNA UCA1 regulates a molecular mechanism that induces cisplatin resistance such as silencing of a tumor suppressor gene or inducing expression of multidrug resistant proteins (Wang et al., 2017). Further, if we observe similar changes in RNA expression profiles of neuroblastoma to those in other cancers, we could infer that lncRNA is involved in cisplatin resistance in neuroblastoma in the same pathway found in other cancers.  For example, if we observe a similar upregulation of Wnt6 mRNA in neuroblastoma to that of lung cancer, we may infer that lncRNA UCA1 is involved in cisplatin resistance in neuroblastoma by interactions with Wnt6 in the Wnt pathway (Wang et al., 2008). This is under the assumption that the genes that change in expression are involved in cisplatin resistance rather than unrelated cellular functions. For further investigation into the function of UCA1 and the pathway it is involved in, we can use RNA-TRAP to assess the degree to which lncRNA UCA1 interacts with specific genes and postulate its role in regulating expression of various genes in cis. In addition, we can identify the proteins that lncRNA UCA1 interacts with via crosslinking protein to lncRNA followed by mass spectrometry.

Result 2: Prediction confirmed for overexpression of lncRNA UCA1 in susceptible neuroblastoma cells

We would observe no change in percent cell viability when UCA1 is knocked down in SK-N-ASrCDDP500 compared to its control, but an increase in percent cell viability when UCA1 is overexpressed in SK-N-AS compared to its control. In differential gene expression analysis, where the predictions are satisfied in the cases where genes are overexpressed but not in the knockdown, we would expect to see changes in expression outlined in Figure 7.  We can conclude that high expression of lncRNA UCA1 is sufficient to increase percent cell viability and change the expression levels of RNA of cisplatin susceptible SK-N-AS, but not necessary to maintain percent cell viability and to change the expression levels of RNA in an already resistant SK-ASrCDDP500.

 

SK-N-ASrCDDP500 (resistant)              SK-N-AS (susceptible)

 

Figure 6: percent cell viability of neuroblastoma cells measured in increasing concentration of cisplatin.

 

Type of Experiment Expression levels compared to resistant SK-N-ASrCDDP500 control Expression levels compared to susceptible SK-N-AS control
lncRNA UCA1 Knocked down in SK-N-ASrCDDP500 (resistant) Similar RNA expression may have similar RNA expression
lncRNA UCA1 Overexpressed in SK-N-AS (susceptible) Similar RNA expression Change in expression

For instance:

Upregulated:

Wnt6, CYP1A1, AURKC

Downregulated:

MBD3, SRPK1

Figure 7:  Table of possible results for the expression profile analysis of the second potential result.

Remarks

This result supports the hypothesis that upregulated levels of lncRNA UCA1 may be associated with increased cisplatin resistance, but RNA therapy against only UCA1 would not be sufficient to treat neuroblastoma.  We infer that lncRNA UCA1’s function is redundant to other lncRNAs that induce cisplatin resistance. This is assuming other lncRNAs could have similar to identical functions in regulating gene expression and that the expression of these other lncRNAs are high and saturated in the control resistant SK-N-ASrCPPD500 cells. For example, the alteration of the wnt pathway is a common way of inducing cisplatin resistance and several lncRNA such as HOTTIP and MALAT have been identified to affect this pathway (Hu et. al, 2018).  As a next step, we could compare the expression profiles resulting from manipulation of putative lncRNAs with that of lncRNA UCA1. In addition, we could study the proteins that lncRNA UCA1 interacts with via CHART technique and compare with other lncRNAs.

Result 3: Hypothesis rejected with no change in cell viability and expression profile

In the case where there is no change in percent cell viability and RNA expression profile after manipulation of UCA1 levels, our hypothesis will be rejected. We conclude that lncRNA UCA1 is neither sufficient nor necessary to increase percent cell viability and change the RNA expression profile in the neuroblastoma cell lines of study treated under multiple concentrations of cisplatin. We cannot conclude that lncRNA UCA1 has no function in neuroblastoma, because it is still possible that it is involved in other ways.

 

SK-N-ASrCDDP500 (resistant)              SK-N-AS (susceptible)

Figure 8: percent cell viability of neuroblastoma cells measured in increasing concentration of cisplatin.

 

Type of Experiment Expression levels compared to resistant SK-N-ASrCDDP500 control Expression levels compared to susceptible SK-N-AS control
lncRNA UCA1 Knocked down in SK-N-ASrCDDP500 (resistant) Similar RNA expression Different expression

  • This will be the same differences in expression that were found when comparing the resistant and susceptible controls
lncRNA UCA1 Overexpressed in SK-N-AS (susceptible) Different expression

  • This will be the same differences in expression that were found when comparing the resistant and susceptible controls
Similar RNA expression

Figure 9: Table of results if both the hypothesis and prediction are rejected.

 

Assuming that lncRNA UCA1 has all of the requirements to perform its normal functions in the in vitro experiment, we can infer that lncRNA UCA1 does not have a function in the pathways that induce or reduce cisplatin resistance in our neuroblastoma cell lines. Previous studies have found other lncRNAs apart from UCA1 can induce cisplatin resistance, so it is possible that the UCA1 knockdown resistant cell line is resistant to cisplatin because of other lncRNAs and proteins. To investigate these, RNAs expressed differently in SK-N-ASrCDDP500 control compared to SK-N-AS control could be investigated using a similar method to this experiment. Once confirmed of their potential involvement in cisplatin resistance, we can further study their function by assessing the proteins they interact with and the genes that they regulate expression of, as described in result 1 and 2. Additionally, if we observed higher levels of UCA1 in the resistant cell line control compared to the susceptible control, we might infer that upregulated UCA1 is a consequence of cisplatin resistance rather than the cause.

Citations

 

Ayers, D., & Vandesompele, J. (2017). Influence of microRNAs and long non-coding RNAs in cancer chemoresistance. Genes, 8(3), 95. doi:10.3390/genes8030095

 

Balas, M. M., & Johnson, A. M. (2018). Exploring the mechanisms behind long noncoding RNAs and cancer. Non-Coding RNA Research, 3(3), 108-117. doi:10.1016/j.ncrna.2018.03.001

 

Chen, Q., Wei, C., Wang, Z., & Sun, M. (2017). Long non-coding RNAs in anti-cancer drug resistance. Oncotarget, 8(1), 1925-1936. doi:10.18632/oncotarget.12461

 

Dasari, S., & Tchounwou, P. B. (2014). Cisplatin in cancer therapy: molecular mechanisms of action. European journal of pharmacology, 740, 364-78.

 

Eastlack, S. C., Dong, S., Mo, Y. Y., & Alahari, S. K. (2018). Expression of long noncoding RNA MALAT1 correlates with increased levels of nischarin and inhibits oncogenic cell functions in breast cancer. PloS One, 13(6), e0198945. doi:10.1371/journal.pone.0198945

 

Fan, Y., Shen, B., Tan, M., Mu, X., Qin, Y., Zhang, F., & Liu, Y. (2014). Long non-coding RNA UCA1 increases chemoresistance of bladder cancer cells by regulating Wnt signaling. FEBS Journal,281(7), 1750-1758. doi:10.1111/febs.12737

 

Galluzzi, L., Senovilla, L., Vitale, I., Michels, J., Martins, I., Kepp, O., . . . Kroemer, G. (2012). Molecular mechanisms of cisplatin resistance. Oncogene, 31(15), 1869-1883. doi:10.1038/onc.2011.384

 

Guttman M, Donaghey J, Carey BW, Garber M, Grenier JK, Munson G, Young G, Lucas AB, Ach R, Bruhn L, Yang X, Amit I, Meissner A, et al. lincRNAs act in the circuitry controlling pluripotency and differentiation. Nature. 2011; 477:295–300.

 

Hayashi, T., Lamba, D., Slowik, A., Reh, T., & Bermingham-McDonogh, O. (2010). A method for stabilizing RNA for transfection that allows control of expression duration. Developmental Dynamics, 239(7), 2034-2040. doi:10.1002/dvdy.22344

Hu, Y., Zhu, Q., Deng, J., Li, Z., Wang, G., & Zhu, Y. (2018). Emerging role of long non-coding RNAs in cisplatin resistance. OncoTargets and Therapy, 11, 3185-3194. doi:10.2147/OTT.S158104

 

Luo, M. (2016). Methods to study long noncoding RNA biology in cancer. (pp. 69-107). SINGAPORE: SPRINGER-VERLAG SINGAPORE PTE LTD. doi:10.1007/978-981-10-1498-7_3

 

Malik, R., Patel, L., Prensner, J., Shi, Y., Iyer, M., Subramaniyan, S., . . . Chinnaiyan, A. (2014). The lncRNA PCAT29 inhibits oncogenic phenotypes in prostate cancer. Molecular Cancer Research, 12(8), 1081-1087. doi:10.1158/1541-7786.MCR-14-0257

 

Moran VA, Perera RJ, Khalil AM. Emerging functional and mechanistic paradigms of mammalian long non-coding RNAs. Nucleic Acids Res. 2012; 40:6391–6400.

 

Mortazavi A, Williams BA, McCue K, Schaeffer L, Wold B (2008) Mapping and quantifying mammalian transcriptomes by RNAseq. Nat Methods 5:621–628.

 

Piskareva, O., Harvey, H., Nolan, J., Conlon, R., Alcock, L., Buckley, P., . . . Stallings, R. L. (2015). Corrigendum to “The development of cisplatin resistance in neuroblastoma is accompanied by epithelial to mesenchymal transition in vitro” [Cancer Lett 364 (2015) 142–155]. Cancer Letters,369(2), 428. doi:10.1016/j.canlet.2015.09.010

 

Ponting, C. P., Oliver, P. L., & Reik, W. (2009). Evolution and functions of long noncoding RNAs. Cell, 136(4), 629-641. doi:10.1016/j.cell.2009.02.006

 

Thermo Fisher Scientific. (2011). NanoDrop 1000 Spectrophotometer V3.8 User’s Manual. Retrieved from: http://tools.thermofisher.com/content/sfs/manuals/nd-1000-v3.8-users-manual-8%205×11.pdf

 

Wang, H., Guan, Z., He, K., Qian, J., Cao, J., & Teng, L. (2017). LncRNA UCA1 in anti-cancer drug resistance. Oncotarget, 8(38), 64638-64650. doi:10.18632/oncotarget.18344

 

Wang F, Li X, Xie X, Zhao L & Chen W(2008) UCA1, a non‐protein‐coding RNA up‐regulated in bladder carcinoma and embryo, influencing cell growth and promoting invasion. FEBS Lett 582, 1919–1927.

 

Wang, Q., Armenia, J., Zhang, C., Penson, A. V., Reznik, E., Zhang, L., . . . Schultz, N. (2018). Unifying cancer and normal RNA sequencing data from different sources. Scientific Data,5, 180061. doi:10.1038/sdata.2018.61

 

Wang, Y., Zhang, D., Wu, K., Zhao, Q., Nie, Y., & Fan, D. (2014). Long noncoding RNA MRUL promotes ABCB1 expression in multidrug-resistant gastric cancer cell sublines.Molecular and Cellular Biology, 34(17), 3182-3193. doi:10.1128/MCB.01580-13

 

Wang, F., Zhou, J., Xie, X., Hu, J., Chen, L., Hu, Q., . . . Yu, C. (2015). Involvement of SRPK1 in cisplatin resistance related to long non-coding RNA UCA1 in human ovarian cancer cells. Neoplasma,62(03), 432-438. doi:10.4149/neo_2015_051

Wang, F., Li, X., Xie, X., Zhao, L., & Chen, W. (2008). UCA1, a non-protein-coding RNA up-regulated in bladder carcinoma and embryo, influencing cell growth and promoting invasion. FEBS Letters,582(13), 1919-1927. doi:10.1016/j.febslet.2008.05.012

 

Wang, B., Huang, Z., Gao, R., Zeng, Z., Yang, W., Sun, Y., . . . Zhou, S. (2017). Expression of Long Noncoding RNA Urothelial Cancer Associated 1 Promotes Cisplatin Resistance in Cervical Cancer. Cancer Biotherapy and Radiopharmaceuticals,32(3), 101-110. doi:10.1089/cbr.2016.2156

 

Zhou, X., Liu, S., Cai, G., Kong, L., Zhang, T., Ren, Y., . . . Wang, X. (2015). Long non coding RNA MALAT1 promotes tumor growth and metastasis by inducing epithelial-mesenchymal transition in oral squamous cell carcinoma. Scientific Reports, 5(1), 15972. doi:10.1038/srep15972

 

Pathway to our final final project

I really enjoyed working on this project. We started by reading papers related to lncRNA and cancer. Then after having a discussion with Evan and Pam we found the direction to study the mechanism of lncRNA in chemotherapy resistance. It was fun finding a gap in information/ research results in the academic world (?). Progressively, we narrowed down to cisplatin as our drug and neuroblastoma as our cancer type. Although not included in the final project, I learned so much about techniques related to studying the function of lncRNA and how they are involved in other processes. I think focusing on lncRNA as my project also helped me understand lectures related to lncRNA better.

Annotated Bibliography

Wang, F., Zhou, J., Xie, X., Hu, J., Chen, L., Hu, Q., . . . Yu, C. (2015). Involvement of

SRPK1 in cisplatin resistance related to long non-coding RNA UCA1 in human ovarian cancer cells. Neoplasma,62(03), 432-438. doi:10.4149/neo_2015_051

 

This article investigates UCA1’s effects on SRPK1 in cisplatin resistance in ovarian cancer. They started by looking at UCA1 expression in cancer and non cancer cells and its corresponding resistance to cisplatin treatment followed by assessing the expression of SRPK1 and apoptosis pathway proteins to explore the mechanism. Lastly, they looked at the effects of knocking out SRPK1 on cisplatin resistance. Results found an increased expression of SRPK1 and anti-apoptosis proteins in transgenic UCA1 cells, and knocking down SRPK1 could partly rescue the effect of UCA1 expression on cell migration, invasion and cisplatin resistance in cells. Based on these findings, they suggested that SRPK1 and apoptosis pathway proteins may be involved in the effect of UCA1.

 

Pan, J., Li, X., Wu, W., Xue, M., Hou, H., Zhai, W., & Chen, W. (2016). Long non-coding

RNA UCA1 promotes cisplatin/gemcitabine resistance through CREB modulating miR-196a-5p in bladder cancer cells. Cancer Letters,382(1), 64-76. doi:10.1016/j.canlet.2016.08.015

This paper described that UCA1 is highly overexpressed in bladder cancer cells, and that UCA1 promotes cell migration and invasion. The authors wanted to further study the mechanism of cisplatin and gemcitabine resistance in bladder cancer cells. Their experiment in vitro showed that an overexpression of UCA1 results in reduced cell apoptosis and enhanced cell viability, and a knockdown of UCA results in an opposite effect. They concluded that UCA1 activates miR-196a-5p through CREB, a transcription factor that can be activated by the AKT pathway.

 

Fan, Y., Shen, B., Tan, M., Mu, X., Qin, Y., Zhang, F., & Liu, Y. (2014). Long non-coding RNA UCA1 increases chemoresistance of bladder cancer cells by regulating Wnt signaling. FEBS Journal,281(7), 1750-1758. doi:10.1111/febs.12737

The authors of this research article investigated the role of UCA1 lncRNA in cisplatin resistance during chemotherapy for bladder cancer. They showed that cisplatin‐based chemotherapy results in up‐regulation of UCA1 expression in patients with bladder cancer. Their experiment sets the base to ours by showing that overexpression of UCA1 significantly increases cell viability during cisplatin treatment in bladder cancer. Furthermore, they demonstrated that UCA1 increases the cisplatin resistance of bladder cancer cells by enhancing the expression of Wnt6, and thus represents a potential target to overcome chemoresistance in bladder cancer. Our project arises from the question posed by this article.

 

Wang, F., Li, X., Xie, X., Zhao, L., & Chen, W. (2008). UCA1, a non-protein-coding RNA up-regulated in bladder carcinoma and embryo, influencing cell growth and promoting invasion. FEBS Letters,582(13), 1919-1927. doi:10.1016/j.febslet.2008.05.012

 

This is a research article that studied the role of lncRNA UCA1 in bladder carcinoma. They performed a gene expression analysis via RT-PCR to find potential targets of UCA1 in drug resistance. Some of the upregulated genes in high expression of UCA1 include WNT6, CYP1A1, AURKC. Some of the downregulated genes include: methyl CpG binding domain protein 3 (MBD3) and serine/arginine-rich protein specific kinase 1 (SRPK1). They confirmed these results with a microarray analysis. This paper gives important background information to our predictions and possible results.

 

Ayers, D., & Vandesompele, J. (2017). Influence of microRNAs and long non-coding RNAs in cancer chemoresistance. Genes, 8(3), 95. doi:10.3390/genes8030095

This review gives a thorough explanation of what miRNAs and lncRNAs are. They discuss about the cancer chemoresistance mechanisms and how miRNAs and lncRNAs are involved in chemoresistance. They created a model to show how miRNA and lncRNA might work in cisplatin resistance. However, the model seems more of a guess of the role of lncRNA by linking already known chemoresistance mechanisms rather than an informed model based on experimental results that test the role of lncRNA in chemoresistance. Nevertheless, this review article helps us set base on the clinical implications of our project: that validation of lncRNA as a biomarker for drug resistance could serve as novel drug targets and we can perform RNA directed therapy.

Wang, H., Guan, Z., He, K., Qian, J., Cao, J., & Teng, L. (2017). LncRNA UCA1 in anti-cancer drug resistance. Oncotarget, 8(38), 64638-64650. doi:10.18632/oncotarget.18344

This is a review article written by researchers of the Clinical Research Centre in Zhejiang University. They compile previous research performed on lncRNA UCA1 in various cancers including ovarian cancer, cervical cancer, and bladder cancer. Neuroblastoma has not been included in this article, however. This article introduces the role of lncRNA in general as well as specifically to UCA1. The role of UCA1 in drug resistance and the regulators of UCA1 expression have been discussed in various cancers in detail.

 

Piskareva, O., Harvey, H., Nolan, J., Conlon, R., Alcock, L., Buckley, P., . . . Stallings, R. L. (2015). Corrigendum to “The development of cisplatin resistance in neuroblastoma is accompanied by epithelial to mesenchymal transition in vitro” [Cancer Lett 364 (2015) 142–155]. Cancer Letters,369(2), 428. doi:10.1016/j.canlet.2015.09.010

This is a research article in which the authors identified the proteins that are involved in cisplatin resistant cell lines in neuroblastoma through proteomic profiling, a method to identify the proteins that are present. They showed that proteins that are differentially expressed in resistant cell lines are involved in cancer promoting mechanisms such as cell migration and proliferation. Proteins that were absent (or expressed in lower levels) in resistant cells were predicted to be due to miRNA that target specific genes. This article gives us background information on how cisplatin resistance mechanisms occur.

Luo, M. (2016). Methods to study long noncoding RNA biology in cancer. (pp. 69-107). SINGAPORE: SPRINGER-VERLAG SINGAPORE PTE LTD. doi:10.1007/978-981-10-1498-7_3

This is a review article that discusses the various methods of studying the function of lncRNA in cancer development. They provide how research is done in this area step by step starting from screening and identification of functional RNAs.They discuss in detail how manipulation of lncRNA expression is performed through various techniques including shRNA and transfection as a common way to investigate the function of lncRNA. Furthermore, they discuss about mapping of lncRNA binding targets in the genome to further study their function in regulating gene expression in cis. This article gives us background information such that we can design experiments for the purpose of our study.

 

Hu, Y., Zhu, Q., Deng, J., Li, Z., Wang, G., & Zhu, Y. (2018). Emerging role of long non-coding RNAs in cisplatin resistance. OncoTargets and Therapy, 11, 3185-3194. doi:10.2147/OTT.S158104

This is a review article published in dovepress which has a relatively low impact factor. However, this article discusses what cisplatin is as an anti-cancer drug and how cisplatin resistance evolves in detail. They provide a model how various lncRNAs affect pathways that are involved in the cisplatin resistance mechanisms. Some lncRNAs discussed are HOTAIR, HOTTIP, MEG3. This article helps us understand how lncRNAs might function in the context of cisplatin resistance as well as that one lncRNA can have multiple functions.

 

Wang, Q., Armenia, J., Zhang, C., Penson, A. V., Reznik, E., Zhang, L., . . . Schultz, N. (2018). Unifying cancer and normal RNA sequencing data from different sources. Scientific Data,5, 180061. doi:10.1038/sdata.2018.61

 

This is a call to action paper that aims to create a standard for RNA sequencing data generation based on inconsistent data generation currently used in the field. This is important so that RNA-seq data can be compared to one another for integrative analysis. This paper proposes a standard pipeline that should be used for processing and unifying RNA-seq data from different studies. They also include standards that should be used when verifying the tools that were used in the pipeline.

 

Project Draft

Knowing that we have so much to do at the end of the term, we tried to make our draft as finalized as possible. I think this was a very wise decision that we have made since we still had more work to do near the end of the final deadline.

Long noncoding RNA UCA1: Function in Cisplatin Resistance in Neuroblastoma Cell Lines

Background

Long non-coding RNAs (lncRNAs) are evolutionary conserved gene transcripts of over 200 nucleotides that do not encode proteins (Geisler and Coller, 2013). lncRNAs are involved in regulation of gene expression at transcriptional, post-transcriptional, and translational levels (Moran et al., 2012) either by directly interacting with its target gene (cis-acting) or by interacting with transcription factors (trans-acting) (Ponting et al., 2009). lncRNAs affect chromatin remodeling and transcript modification in the nucleus and interact with other RNAs and proteins in the cytoplasm (Schmitt and Chang, 2016). They regulate diverse cellular functions such as embryonic development and cell cycle progression, and when expressed in abnormal amounts, carcinogenesis (Corra et al., 2018).

 

In recent studies, a variety of lncRNAs such as HOTAIR, MALAT1, and UCA1 have been found to play an important role in carcinogenesis, metastasis, and prognosis. The function of lncRNA in oncogenesis may vary depending on the identity of lncRNA and the cellular context of cancers. lncRNA can be involved in promoting cancer but also prohibit oncogenic phenotypes such as metastasis (Malik et. al, 2014). LncRNA Urothelial carcinoma associated 1 (UCA1) is the most common isoform of the UCA1 gene in bladder cancer, breast cancer, and hepatocellular carcinoma (Wang et al., 2017). The biological role of other isoforms such as lncRNA CUDR is not well studied (Wang et al., 2017). The oncogenic role of lncRNA UCA1 has been identified in various cancers including bladder cancer, breast cancer, hepatocellular carcinoma, ovarian cancer, and tongue squamous cell carcinoma (Wang et al., 2017). Furthermore, studies have shown that lncRNA UCA1 regulates chemoresistance in various cancers (Wang et al., 2017).

 

In a study by Wang et al. (2008), targeted expression of lncRNA UCA1 induced the bladder TCC cell line to become highly proliferative and invasive as well as more resistant to cisplatin (Wang et al., 2017). They also revealed the differential gene expression resulting from UCA1 overexpression including WNT6 and AURKC as upregulated genes and MBD3 and SPRK1 as downregulated genes. Pan et al. (2016) suggested that lncRNA UCA1 induces cisplatin resistance by upregulating miR-196a-5p through activation transcription factor CREB.

Cisplatin, a platinum based cytotoxic drug, is one of the most commonly used chemotherapy agent to treat cancer including neuroblastoma, lung cancer and bladder cancer (Dasari and Tchounwou, 2014). Although cisplatin is effective in many patients, a large proportion of patients are resistant to cisplatin-based therapies (Galluzzi, 2012). Furthermore, a large faction of initially sensitive cancers become resistant after frequent treatment with cisplatin (Galluzzi, 2012). Mechanisms of cisplatin resistance include change in the signaling pathways, silencing of certain genes by miRNA, changes to the cell cycle, development of an efflux system, and DNA repair (Chen, 2017). In addition, several studies have revealed that long non-coding RNAs (lncRNAs) are involved in chemoresistance to cisplatin by interacting with histone modification tools and with other chromatin regulatory factors (Guttman et al., 2011).

Relevance and Importance

Neuroblastoma is a childhood malignancy in the sympathetic nervous system and accounts for 15% of all deaths in pediatric cancer patients (Piskareva et al, 2015). Treatment of neuroblastoma is most commonly performed using cisplatin, a platinum based anticancer drug that induces apoptosis by activating various signal transduction pathways (Dasari and Tchounwou, 2014). Development of drug resistance has made it hard to effectively treat neuroblastoma patients, and doctors often resort to multi drug treatments (Piskareva et al, 2015). Despite these efforts, drug resistance in neuroblastoma is still prevalent, and the cause of the resistance is not fully understood. In order to effectively treat cancer, it is important to understand the mechanism of cancer resistance and find ways to prevent their effect (Ayers and Vandesompele, 2017). Recent studies have shown that lncRNA plays a major role in the development of cisplatin resistance in various cancer types, including breast cancer, cervical cancer, and lung cancer (Wang et al, 2017). In particular, Urothelial cancer-associated 1 (UCA1), a lncRNA that plays a regulatory role in proliferation of cells, has been found to play a major role in development of cisplatin resistance (Wang et al, 2017). However, UCA1 has never been studied in cisplatin resistance in neuroblastoma, posing a potential gap in knowledge that could be vital to finding effective treatment methods for patients who are resisting this drug. Although UCA1 has been studied in other cancers such as bladder and lung cancer, we cannot conclude that the effect of UCA1 will be conserved across all cancer types including neuroblastoma. For example, lncRNA MALAT1 was suggested to function as a tumor suppressor gene in breast cancer (Eastlack, 2018), but as a promoter of tumor growth and metastasis in oral squamous cell carcinoma (Zhou, 2015).  

 

Therefore, we propose a study that will determine if UCA1 is present in neuroblastoma cell lines that are resistant to cisplatin drug treatment and identify the changes in mRNA expression when UCA1 is present. If successful, this research would serve as a first step in understanding and finding better treatment methods for neuroblastoma patients who are resistant to cisplatin drug treatments. As a next step, the validation of UCA1 as a biomarker for drug resistance could serve as novel drug targets and could ultimately lead to the development of antagonists and/or mimics for adjunct therapy with traditional cisplatin treatment methods (Ayers and Vandesompele, 2017). Adjunct therapy methods have shown to increase susceptibility of the tumour, ultimately enhancing treatment effectiveness (Ayers and Vandesompele, 2017). In addition, use of RNA directed therapy could be used in patients who are highly resistant to the treatment due to dosage dependent resistance, reducing the discomfort of patients by permitting a lower treatment dosage (Ayers and Vandesompele, 2017). Lastly, use of UCA1 biomarker could be quantified in patients through RT-qPCR assays and provide pre-emptive knowledge to the oncologist on the best drug combination treatment for their patients (Ayers and Vandesompele, 2017).

Hypothesis

Several studies investigating the molecular mechanisms of lncRNA UCA1 in promoting cisplatin resistance have found that it is involved in silencing of tumor suppressor genes and inducing expression of multidrug resistant proteins (Want et. al, 2017). If the role of lncRNA UCA1 is conserved across different types of cancers that have been studied thus far, then we hypothesize that upregulated expression of lncRNA UCA1 causes increased resistance to cisplatin in neuroblastoma cell lines.

Experimental Plan

Level of cisplatin resistance after induced changes in lncRNA UCA1 expression

To assess the changes in cisplatin resistance after changes in expression of lncRNA UCA1, a cell viability assessment will be performed on both susceptible and resistant cells that were treated in various concentrations of cisplatin after either loss or further gain of expression of lncRNA UCA1. ()

 

Differential Gene Expression Analysis

 

To quantify changes in RNA expression levels between all conditions, an expression profile analysis will be performed on all RNA samples. RNA will be extracted in equal amounts from all conditions: lncRNA UCA1 KO, lncRNA UCA1 overexpressed, no change in lncRNA UCA1 (control) in both cisplatin resistant and cisplatin susceptible cell lines (control). All of the extracts will be sequenced and analysed. A summary of the steps and tools that will be used are outlined in Figure 2, with a detailed pipeline in Materials and Methods. To ensure that RNAi sufficiently knocked out UCA1, check the expression levels of UCA1 in the knockout.

 

Materials and Methods

Cell Lines

Cisplatin susceptible SK-N-AS and cisplatin resistant SK-N-ASrCDDP500 cells will be purchased from the Michaelis Lab, UK. The cisplatin resistant SK-N-ASrCDDP500 is a cell line that gained cisplatin resistance from its parental cell line SK-N-AS and therefore, is expected to exhibit characteristics similar to SK-N-AS compared to other cell lines with a different parental line.

Cisplatin treatment and Cell Viability Assay

Cisplatin treatment procedure will follow that outlined by Piskareva (2015). SK-N-AS neuroblastoma cells will be seeded at 10^4 cells/mL on a 96-well plate at 100µL medium per well. The plate will be incubated overnight at 37 °C in 5% CO2. Multiple concentrations of cisplatin was tested in serial dilution the following day. Cell proliferation will be monitored over 5 days. Cell viability will be assessed using the MTT assay as described by Wang et al (2008).   

lncRNA UCA1 Knockdown via RNAi

The scrambled siRNA control (Si-NC) and siRNA that targets lncRNA UCA1 will be purchased from Thermo Fisher Scientific. si-UCA1 lentivirus will be constructed and infected into SK-N-AS cells, which will then be screened with puromycin over 7 days (Fang et. al, 2017). Successful knockdown of lncRNA UCA1 will be assessed using RT-PCR.

lncRNA UCA1 Overexpression

A recombinant plasmid containing pcDNA-UCA1 will be constructed by inserting UCA1 gene with BamHI and EcoRI restriction enzymes. The recombinant plasmid will be transfected into SK-N-AS cells using Lipofectamine 2000 from Thermo Fisher Scientific (2018). Transfected cells that stably express UCA1 will be selected by RT-PCR. A negative control of cells transfected with pcDNA3.1 will also be tested (Wang et. al, 2014).

RNA Extraction

RNA will be extracted from each of the cell line conditions, with twelve replicates for each condition, as recommended by Mortazavi, et al (2008). Total RNA will be extracted with TRIzol reagent following the recommendations of the manufacturer. The purity of total RNA will be evaluated using the A260/A280 ratio of sample absorbance at 260 and 280 nm using NanoDrop ND-1000 (Thermal Fisher Scientific, 2011). Integrity of RNA samples will be measured using the 28S/18S ratio based on a densitometry plot using Agilent 2100 Bioanalyzer.

RNA Illumina Sequencing

RNA-seq will be performed using Illumina HiSeq™ 2000 Sequencing System with paired end sequences for improved accuracy. Standard library preparation procedure will occur using the manufacturer’s protocol for RNA library preparations. In order to have a high enough coverage, we will generate ~15-25 million reads per sample, as recommended by Mortazavi, et al (2008). Sequences will be open sourced on GenBank. Sequence read quality will be analyzed using FASTQC using the standard pass/fail metrics of the program.

Sequence Alignment

Sequence alignment will be performed using the program STAR and quality of alignment will be measured using RSeQC.

Gene-based Read Counting

Transcript quantification will be calculated using the R package, featureCounts, to generate integer-based read counts for each gene.

Differential Gene Expression Analysis

To analyze the differential gene expression between samples, we will use the R package, DESeq. Genes with a fold change > 2 and p-value < 0.05 will be considered to have a significant change in expression levels. To validate mRNA-seq data, 5 samples will be randomly chosen to run through qRT-PCR for analysis.

Predictions

Level of cisplatin resistance after induced changes in lncRNA UCA1 expression

The control experiment in which both cisplatin resistant and susceptible cells are treated with various concentrations of cisplatin will give us the concentration of cisplatin in which both types of neuroblastoma cells die. We predict that the IC50 of cisplatin in SK-N-AS cells will be extremely low at 0.4uM as provided by the supplier (Michaels Lab, UK). The IC50 in SK-N-ASrCDDP500 is predicted to be 9.6uM. If lncRNA UCA1 plays a significant role in inducing cisplatin resistance, then we expect the knockdown of lncRNA UCA1 to decrease percent cell viability and IC50in both cells. An overexpression of lncRNA UCA1 would increase the percent cell viability and IC50 in both cells.

 

Type of Experiment SK-N-ASrCDDP500 cells (resistant) SK-N-AS cells (susceptible)
lncRNA UCA1 KD % viability decrease % viability remains the same or slightly lower
lncRNA UCA1 Overexpressed % viability higher than control resistant cells % viability higher than control susceptible cells but lower than resistant cells
Control (no change) % viability higher than susceptible ells   Extremely to zero % viability in cisplatin treatment over IC50

Figure 3. Change in cisplatin resistance by knockdown or overexpression of lncRNA UCA1

Differential Gene Expression Analysis

Studies looking at cisplatin resistance in numerous cancers have found a relationship between lncRNA UCA1 and changes in expression levels of genes that are involved in the cells susceptibility to treatment (Wang et al, 2017). This includes a study performed by Wang et al, looking at microarray mRNA expression analysis of transfected UCA1 cells compared to control (2008). Expression levels of 42 genes were found to change by at least two-fold in the presence of UCA1 in bladder cancer, including an upregulation of Wnt signaling pathway member 6 (Wnt6), CYP1A1 (a cytochrome) and AURKC (kinase) and a downregulation of methyl‐CpG binding domain protein 3 (MBD3) and SR (serine/arginine‐rich) protein‐specific kinase 1 (SRPK1). These results are verified by several other studies looking further into the effects of UCA1 on gene expression in bladder cancer (Fan et al, 2014). Similar results have been found in ovarian cancer, including a study by Wang et al that focuses on the change in expression of SRPK1 in the presence of UCA1 and cisplatin resistance (2015). The gene expression analysis profiles continue to show similar changes in expression of genes in other cancers, including cervical, lung and bladder cancer (Wang et al, 2017). If our hypothesis is correct, then we would expect to see similar changes in expression of genes in neuroblastoma cell lines.

Therefore, we predict expression analysis will show an increase in expression levels in Wnt6, CYP1A1, and AURKC and a decrease in expression levels in MBD3 and SRPK1 when UCA1 is present in the cisplatin resistant cells compared to UCA1 knockdown cisplatin resistant cell lines and cisplatin susceptible cell lines, as shown in Figure 5.

Results

Potential Results 1: Hypothesis is not rejected and predictions are confirmed

Cell Viability

 

Expected cell viability results for potential results 1: relative % cell viability is in accordance with our prediction

Figure 4: percent cell viability of neuroblastoma cells measured in increasing concentration of cisplatin. Figures on the left show percent viability when NS-K-ASrCDDP500 cells are treated with si-UCA1 or overexpressed with lncRNA UCA1. Figures on the right show percent viability when NS-K-AS cells are treated with si-UCA1 or overexpressed with lncRNA UCA1.

 

We can conclude that high levels of expression of UCA1 is necessary and sufficient to increase the percent viability of both cisplatin resistant and susceptible cells when treated with various doses of cisplatin. We can also conclude that lncRNA UCA1 is not necessary for cellular functions other than resistance mechanism to cisplatin if there is no significant change in percent cell viability between control NS-K-AS cells and NS-K-AS with knockdown of UCA1. We may infer that lncRNA UCA1 regulates a molecular mechanism that induces cisplatin resistance such that higher levels of expression of lncRNA UCA1 results in resistant cells to become more resistant and susceptible cells to become resistant.

 

Our results support the conclusion made by Fan et al. (2014) that lncRNA UCA1 increases chemoresistance in cancer cells. We cannot conclude that the significance of UCA1 expression will be the same in vivo. An experiment could be done in vivo by performing lncRNA UCA1 knockdown and overexpression in neuroblastoma mouse models.  

Differential Gene Expression Analysis

In the case where the hypothesis is confirmed with an upregulated expression of lncRNA UCA1 causes increased resistance to cisplatin in neuroblastoma cell lines, we would expect to see changes in expression levels of RNA in both the knockdown and overexpression cases relative to control (Figure 5). From this, we can conclude that lncRNA UCA1 is both sufficient and necessary to change the expression levels of RNA in the cell lines studied. If we observe similar changes in RNA compared to expression profiles performed on other cancers (REFS), then we can infer that the molecular mechanism is the same.  For example, if we observe an upregulation of Wnt6 mRNA, we could infer that lncRNA UCA1 is involved in cisplatin resistance through interactions with the Wnt6 in the Wnt pathway (REF). However, we cannot make conclusions about this pathway without further experimentation. One potential experiment includes knocking down and over expressing the genes of interest (genes found in molecular pathway of UCA1 inducing cisplatin resistance in other cancers) and then performing a 3C experiment to see the gene interaction.

 

Type of Experiment Genes with fold change > 2 in cisplatin resistant cell lines Genes with fold change > 2 in cisplatin susceptible cell lines
lncRNA UCA1 Knocked down No change in gene expression No change in gene expression
lncRNA UCA1 Overexpressed Compared to both control and cisplatin resistant + no change in UCA1:

Highly Upregulated:

Wnt6, CYP1A1, AURKC

Highly Downregulated:

MBD3, SRPK1

Upregulated:

Wnt6, CYP1A1, AURKC

Downregulated:

MBD3, SRPK1

This may be in similar amounts to cisplatin resistant cell lines with no change to UCA1

No change

in lncRNA UCA1

Upregulated:

Wnt6, CYP1A1, AURKC

Downregulated compared to susceptible cell lines control:

MBD3, SRPK1

CONTROL for the normal expression of all genes

(including: Wnt6, CYP1A1, AURKC,

MBD3, SRPK1)

Figure 5: Table of possible results if the hypothesis and prediction is confirmed. All results are relative to the control for the normal expression of RNA with cisplatin susceptible cell lines. The genes described are a subset of the genes that were found to have >2 fold change in past experiments (REF), however, is not a complete set.

 

Result 2: Hypothesis rejected but prediction confirmed for overexpression of lncRNA UCA1 in susceptible neuroblastoma cells

Cell Viability

Induced lncRNA UCA1 expression increases cell viability in susceptible cells, but change in percent viability in other conditions is not significant.

Figure 6: percent cell viability of neuroblastoma cells measured in increasing concentration of cisplatin. Figures on the left show percent viability when NS-K-ASrCDDP500 cells are treated with si-UCA1 or overexpressed with lncRNA UCA1. Figures on the right show percent viability when NS-K-AS cells are treated with si-UCA1 or overexpressed with lncRNA UCA1.

 

We can conclude that high expression of lncRNA UCA1 is sufficient to increase percent cell viability of cisplatin susceptible NS-K-AS cells, but not in already resistant NS-K-ASrCDDP500 cells. Knockdown of UCA1 is not sufficient to reduce the percent cell viability in resistant cells.

 

Differential Gene Expression Analysis

In differential gene expression analysis, where the predictions are satisfied in the cases where genes are overexpressed but not in the knockdown, we would expect to see changes in expression outlined in figure 7. We can conclude that overexpressing lncRNA UCA1 is sufficient and knocking down lncRNA UCA1 is not sufficient, to change expression levels of RNA in cisplatin resistant cell lines compared to cisplatin susceptible cell lines.

Type of Experiment Genes with fold change > 2 in cisplatin resistant cell lines Genes with fold change > 2 in cisplatin susceptible cell lines
lncRNA UCA1 KD No change in expression No change in expression
lncRNA UCA1 OX Gene expression changes (upregulated or downregulated) Most likely will see no change in expression, similar to control for cisplatin resistant cell lines. Might see slight changes in gene expression.
No change

in lncRNA UCA1

No change in expression of one or more genes CONTROL for the normal expression of all genes

(including: Wnt6, CYP1A1, AURKC,

MBD3, SRPK1)

Figure 7: Table of possible results if the hypothesis is rejected but prediction is confirmed for changes in expression in lncRNA UCA1 overexpressed conditions. All results are relative to the control for the normal expression of RNA with cisplatin susceptible cell lines. The genes described are a subset of the genes that were found to have >2 fold change in past experiments (REF), however, is not a complete set.

Remarks

These results would suggest that there are mechanisms other than lncRNA UCA1 in cisplatin resistance such that the function of UCA1 is redundant. We cannot conclude, however, that lncRNA UCA1 has no effect in cisplatin resistance in control NS-K-ASr. It is possible that there are other lncRNA that have similar effects that are highly expressed in resistant cells. For example, the alteration of the wnt pathway is a common way of inducing cisplatin resistance and several lncRNA such as HOTTIP, MALAT, and MEG3 have been identified to affect this pathway (Hu et. al, 2018). Further investigation can be done by studying the pathways that lncRNA UCA1 may function in and compare with other lncRNAs.  

 

Result 3: Hypothesis rejected with no change in cell viability and expression profile

Cell Viability

Percentages of cell viability of neuroblastoma cells before and after induced changes in UCA1 expression are the same.

Figure 8: percent cell viability of neuroblastoma cells measured in increasing concentration of cisplatin. Figures on the left show percent viability when NS-K-ASrCDDP500 cells are treated with si-UCA1 or overexpressed with lncRNA UCA1. Figures on the right show percent viability when NS-K-AS cells are treated with si-UCA1 or overexpressed with lncRNA UCA1.

 

From these results, we could conclude that lncRNA UCA1 is not necessary or sufficient for percent cell viability of cells treated with cisplatin.

 

Differential Gene Expression Analysis

 

Type of Experiment Genes with fold change > 2 in cisplatin resistant cell lines Genes with fold change > 2 in cisplatin susceptible cell lines
lncRNA UCA1 KD No change in expression No change in expression
lncRNA UCA1 OX No change in expression No change in expression
No change

in lncRNA UCA1

No change in expression CONTROL for the normal expression of all RNA

(including: Wnt6, CYP1A1, AURKC,

MBD3, SRPK1)

Figure 9: Table of possible results if both the hypothesis and prediction are rejected. All results are relative to the control for the normal expression of RNA with cisplatin susceptible cell lines. The genes described are a subset of the genes that were found to have >2 fold change in past experiments, however, is not a complete set.

 

From these results, we could conclude that lncRNA UCA1 is not necessary or sufficient to change expression levels in the cell lines.

 

Remarks

We infer that lncRNA UCA1 is not involved in the pathways that induce or reduce cisplatin resistance in our neuroblastoma cell lines. We cannot conclude, however, that lncRNA UCA1 has no function in neuroblastoma, because it is still possible that it is involved in other ways, apart from cisplatin resistance. Further experiments could be done to test cisplatin resistance in other neuroblastoma cell lines as well as other potential functions of lncRNA UCA1 in neuroblastoma.

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Chen, Q., Wei, C., Wang, Z., & Sun, M. (2017). Long non-coding RNAs in anti-cancer drug resistance. Oncotarget, 8(1), 1925-1936. doi:10.18632/oncotarget.12461

 

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Eastlack, S. C., Dong, S., Mo, Y. Y., & Alahari, S. K. (2018). Expression of long noncoding RNA MALAT1 correlates with increased levels of nischarin and inhibits oncogenic cell functions in breast cancer. PloS One, 13(6), e0198945. doi:10.1371/journal.pone.0198945

 

Mortazavi A, Williams BA, McCue K, Schaeffer L, Wold B (2008) Mapping and quantifying mammalian transcriptomes by RNAseq. Nat Methods 5:621–628.

Thermo Fisher Scientific. (2011). NanoDrop 1000 Spectrophotometer V3.8 User’s Manual. Retrieved from: http://tools.thermofisher.com/content/sfs/manuals/nd-1000-v3.8-users-manual-8%205×11.pdf

 

Zhou, X., Liu, S., Cai, G., Kong, L., Zhang, T., Ren, Y., . . . Wang, X. (2015). Long non coding RNA MALAT1 promotes tumor growth and metastasis by inducing epithelial-mesenchymal transition in oral squamous cell carcinoma. Scientific Reports, 5(1), 15972. doi:10.1038/srep15972

 

Final Project Outline

Shannah and I finalized the topic of our project after talking with Pam and Evan. It was great that we decided on our topic early on so that we have a direction to work on. Not being able to find a direction was the most worried aspect of the final project for me, because I think I spend a lot of time on things that are not important. From this project I learned that it’s fine to reach for help at an early stage. I always thought that I should have a clear thought and specific questions to ask before approaching professors or TAs, but that’s not true. I wish I would have done that more during my undergrad, and I will in the future.

Topic chosen: long noncoding RNA and neuroblastoma cisplatin drug resistance

 

SPECIFIC QUESTION: What is the effect of lncRNA UCA1 in the development of cisplatin resistance in neuroblastoma?

 

HOW IS THIS QUESTION NOVEL AND ORIGINAL?

The effects of  long noncoding RNA (lncRNA) urothelial cancer‐associated 1 (UCA1) in the development of cisplatin resistance has been studied in many types of cancer, including cervical, bladder and ovarian cancer (REF). However, the effects of UCA1 on resistance to cisplatin treatment in neuroblastoma, a childhood malignancy in the sympathetic nervous system, has yet to be investigated. Studies have looked at the relationship between differential expression of proteins and development of cancer resistance.

 

Previous  research were done of the proteins that are expressed in resistant cancer cell lines. A study by _____ suggested the involvement of miRNA in silencing expression of proteins, thereby inducing chemoresistance. Recent studies have also demonstrated chemoresistance mechanisms beyond the protein level. For example, long non-coding RNA HOTAIR was shown to be involved in cancer metastasis.

 

POTENTIAL IMPACT OF THE PROPOSED QUESTION (WERE IT TO BE ANSWERED BY YOUR PROPOSED EXPERIMENT):

Neuroblastoma is a childhood malignancy in the sympathetic nervous system and accounts for 15% of all deaths in pediatric cancer patients (REF). Treatment of neuroblastoma is most commonly performed using cisplatin, a platinum based anticancer drug that induces apoptosis by activating various signal transduction pathways (REF). Development of drug resistance has made it hard to effectively treat neuroblastoma patients, and doctors often resort to multi drug treatments. Despite these efforts, drug resistance is still prevalent and the cause of the resistance is unknown. In order to effectively treat cancer it is important to understand the mechanism of cancer resistance and find ways to prevent their effect (REF). Recent studies have shown that long non-coding RNA plays a major role cisplatin drug capabilities in various cancer types, including breast cancer (REF), cervical cancer (REF), and lung cancer (REF). This includes urothelial cancer‐associated 1 (UCA1), a lncRNA that plays a regulatory role in the proliferation of cells and has been found to be upregulated in bladder cancer. However, UCA1 has never been studied in cisplatin resistance in neuroblastoma, posing a potential gap in knowledge that could be vital to finding effective treatment methods for patients who are resisting this drug. An investigation of the presence of UCA1 in cell lines that are resistant to drug treatment and identification of the changes in mRNA expression it promotes, will allow us to take a step further in understanding the mechanisms involved in resistance, a vital step in finding the best treatment methods.

 

HYPOTHESIS AND EVIDENCE ON WHICH THE HYPOTHESIS IS BASED (INCLUDE REFERENCES):

 

Experiment 1: If lncRNA UCA1 is crucial  in developing cancer resistance, then neuroblastoma cells without UCA1 expression should show little to no resistance. We predict that cisplatin sensitive neuroblastoma cells would have no or low levels or UCA1. Cisplatin resistant neuroblastoma cells will show reduced resistance after knockout of UCA1.

If high UCA1 is detected in cisplatin sensitive cells, then UCA1 may not be involved in cancer resistance or there are specific conditions required for UCA1 to be involved. If high levels of  resistance is shown even after knockout of UCA1 in cisplatin resistant neuroblastoma cells, then UCA1 may not be a crucial component of cisplatin resistance.

 

Study by Wang et al. (2008) has shown that UCA1 is correlated with cell proliferation and migration in bladder cancer. (rewording). Overexpression of UCA1 in bladder cancer cells resulted in invasion and migration of cells. The researchers identified that UCA1 may be  involved in activating the wnt signaling pathway. The wnt pathway is  known to contribute to chemoresistance development in various cancer cell lines including neuroblastoma, multiple myeloma, and hepatocellular carcinoma cells. Study by Fan et al. (2014) has demonstrated that UCA1 levels are higher in cisplatin resistant T24 cells, a type of bladder cancer cell line. Knock out of UCA 1 reduced cell proliferation

 

Experiment 2:

Studies looking at cisplatin resistance in numerous cancers have found a relationship between lncRNA UCA1 and changes in expression levels of genes that are involved in the cells susceptibility to treatment (REFS). This includes a study performed by …  looking at microarray mRNA expression analysis of transfected UCA1 cells compared to control. Expression levels of 42 genes were found to change by at least two-fold in the presence of UCA1 in bladder cancer, including an upregulation of Wnt signaling pathway member 6 (Wnt6), CYP1A1 (a cytochrome) and AURKC (kinase) and a downregulation of methyl‐CpG binding domain protein 3 (MBD3) and SR (serine/arginine‐rich) protein‐specific kinase 1 (SRPK1). These results are verified by several other studies looking further into the effects of UCA1 on gene expression in bladder cancer (REF’s). Similar results have been found in ovarian cancer, including a study by … that focuses on the change in expression of SRPK1 in the presence of UCA1 and cisplatin resistance. The gene expression analysis profiles continue to show similar changes in expression of genes in other cancers, including cervical, lung and bladder cancer [REFS]. Based on this continuing similarity between cancers, we hypothesize the expression levels of these genes will be similar in neuroblastoma cell lines [REF]. Among others, this includes an upregulation of Wnt6, CYP1A1, and AURKC and a downregulation of MBD3 and SRPK1.

PREDICTION(S):

Experiment 1:

Cisplatin Resistant Cisplatin Susceptible
UCA1 not knockout Cells grow Cells don’t grow
UCA1 knocked out Cells don’t grow Cells don’t grow

 

Experiment 2:

We predict RNA sequencing will show an increase in expression levels in Wnt6, CYP1A1, and AURKC and a decrease in expression levels in MBD3 and SRPK1 when UCA1 is present in the cisplatin resistant cells compared to UCA1 knockout cisplatin resistant cell lines and cisplatin susceptible cell lines.

 

EXPERIMENTAL APPROACH TO TEST PREDICTION (INCLUDE ANY DETAILS THAT YOU HAVE WORKED OUT SO FAR):

 

  1. Collect neuroblastoma cisplatin resistant and susceptible cell lines
  2. Knockout UCA1 using RNAi such that we have a control group and a knockout group
  3. Cell proliferation assay (MTT) of control (cisplatin resistant with UCA1) and UCA1 knockout cells (from cisplatin resistant).
    1. Seed cells separately in two 96 well plates for 24 hours
    2. Treat both plates with cisplatin and allow them to proliferate for 3-4 days
    3. Analyze cell proliferation. If our hypothesis is correct, then we expect to see less cell proliferation in the UCA1 knockout cells
    4. Follow the same protocol with cisplatin susceptible cells as a negative control

 

  1. Perform expression profile analysis using RNA sequencing of cell lines before and after knockout to compare their RNA expression levels. CONTROL: To ensure that RNAi sufficiently knocked out UCA1, check the expression levels of UCA1 in the knockout.

 

 

 

 

LIST OF RELEVANT PRIMARY AND REVIEW ARTICLES READ, AND SUMMARY OF RELEVANT INFORMATION FROM EACH (this is the start of the annotated bibliography that you will need to include in your portfolio)

 

Note to Pam: This will be a more fleshed out annotated bibliography in the future. Currently, we have point form for all of the

 

Wang, F., Zhou, J., Xie, X., Hu, J., Chen, L., Hu, Q., . . . Yu, C. (2015). Involvement of

SRPK1 in cisplatin resistance related to long non-coding RNA UCA1 in human ovarian cancer cells. Neoplasma,62(03), 432-438. doi:10.4149/neo_2015_051

 

This article investigates UCA1’s effects on SRPK1 in cisplatin resistance in ovarian cancer. They started by looking at UCA1 expression in cancer and non cancer cells and its corresponding resistance to cisplatin treatment followed by assessing the expression of SRPK1 and apoptosis pathway proteins to explore the mechanism. Lastly, they looked at the effects of knocking out SRPK1 on cisplatin resistance. Results found an increased expression of SRPK1 and anti-apoptosis proteins in transgenic UCA1 cells, and knocking down SRPK1 could partly rescue the effect of UCA1 expression on cell migration, invasion and cisplatin resistance in cells. Based on these findings, they suggested that SRPK1 and apoptosis pathway proteins may be involved in the effect of UCA1.

 

Pan, J., Li, X., Wu, W., Xue, M., Hou, H., Zhai, W., & Chen, W. (2016). Long non-coding

RNA UCA1 promotes cisplatin/gemcitabine resistance through CREB modulating miR-196a-5p in bladder cancer cells. Cancer Letters,382(1), 64-76. doi:10.1016/j.canlet.2016.08.015

 

Fan, Y., Shen, B., Tan, M., Mu, X., Qin, Y., Zhang, F., & Liu, Y. (2014). Long non-coding RNA UCA1 increases chemoresistance of bladder cancer cells by regulating Wnt signaling. FEBS Journal,281(7), 1750-1758. doi:10.1111/febs.12737

Investigated the role of UCA1 lncRNA in cisplatin resistance during chemotherapy for bladder cancer. We showed that cisplatin‐based chemotherapy results in up‐regulation of UCA1 expression in patients with bladder cancer. Similarly, UCA1 levels are increased in cisplatin‐resistant bladder cancer cells. Over‐expression of UCA1 significantly increases the cell viability during cisplatin treatment, whereas UCA1 knockdown reduces the cell viability during cisplatin treatment. We finally demonstrate that UCA1 increases the cisplatin resistance of bladder cancer cells by enhancing the expression of Wnt6, and thus represents a potential target to overcome chemoresistance in bladder cancer.

 

Wang, F., Li, X., Xie, X., Zhao, L., & Chen, W. (2008). UCA1, a non-protein-coding RNA up-regulated in bladder carcinoma and embryo, influencing cell growth and promoting invasion. FEBS Letters,582(13), 1919-1927. doi:10.1016/j.febslet.2008.05.012

In addition to other experiments, did an expression analysis of genes to find potential targets of UCA1 in drug resistance

    1. Results [this is copied from the paper but will be changed later]: The changes of expression of the several representative genes were confirmed through real time PCR (Fig. 4C3–C5), the up‐regulated genes including
      1. wingless‐type MMTV integration site family, member 6 (WNT6) 15
      2. CYP1A1 (cytochrome P450, 1A1) 16,
      3. AURKC (a urora kinase C) 17,
      4. and the down‐regulated genes including
      5. methyl‐CpG binding domain protein 3 (MBD3) 1820, and
      6. SR (serine/arginine‐rich) protein‐specific kinase 1 (SRPK1) 21, 22, which were identical with the microarray results (Tables 2 and 3).

 

Casinelli, G., Larosa, J., Sharma, M., Cherok, E., Banerjee, S., Branca, M., . . . Graves, J. A. (2016). N-Myc overexpression increases cisplatin resistance in neuroblastoma via deregulation of mitochondrial dynamics. Cell Death Discovery,2(1). doi:10.1038/cddiscovery.2016.82

 

Wang, B., Huang, Z., Gao, R., Zeng, Z., Yang, W., Sun, Y., . . . Zhou, S. (2017). Expression of Long Noncoding RNA Urothelial Cancer Associated 1 Promotes Cisplatin Resistance in Cervical Cancer. Cancer Biotherapy and Radiopharmaceuticals,32(3), 101-110. doi:10.1089/cbr.2016.2156

 

Xia, Y., He, Z., Liu, B., Wang, P., & Chen, Y. (2015). Downregulation of Meg3 enhances cisplatin resistance of lung cancer cells through activation of the WNT/β-catenin signaling pathway. Molecular Medicine Reports,12(3), 4530-4537. doi:10.3892/mmr.2015.3897

 

Piskareva, O., Harvey, H., Nolan, J., Conlon, R., Alcock, L., Buckley, P., . . . Stallings, R. L. (2015). Corrigendum to “The development of cisplatin resistance in neuroblastoma is accompanied by epithelial to mesenchymal transition in vitro” [Cancer Lett 364 (2015) 142–155]. Cancer Letters,369(2), 428. doi:10.1016/j.canlet.2015.09.010

 

https://www.sciencedirect.com/science/article/pii/S0304383515003250?via%3Dihub#bib0025

Identified the proteins that are involved in cisplatin resistant cell lines in neuroblastoma through proteomic profiling, a method to identify the proteins that are present. They showed that proteins that are differentially expressed in resistant cell lines are involved in cancer promoting mechanisms such as cell migration and proliferation. Proteins that were absent (or expressed in lower levels) in resistant cells were predicted to be due to miRNA that target specific genes.

 

 

 

POTENTIAL WAYS TO MAKE YOUR QUESTION KNOWN TO THE PUBLIC AT LARGE (e.g. TO YOUR NON-BIOLOGIST FAMILY AND FRIENDS):

  • Infographic of our findings and share on social media
  • Make a video that is easy for a non-biologist to understand and share on social media
  • Present at events that are intended for the public, for example: https://vancouver.nerdnite.com/

 

ANY OTHER PARTS OF THE PROJECT COMPLETED SO FAR:

 

 

ANYTHING YOU WOULD LIKE SPECIFIC FEEDBACK ON:

  • How much detail should we provide for the hypothesis, possible results and discussion of the expression analysis. There are a TON of genes that UCA1 could affect, as found in previous studies. Is it ok to mention a few and dive deeper into these? Or should we try to include all that we can find and not go into too much detail? Or some sort of combination of both?
  • Is our question novel enough? Is our evidence for our hypothesis valid and sufficient? How can we improve on this?

 

Final Project Question

Final Project Question

members:Shannah Fisher, Joanne Lim, Erin Yang

What is the role of PAX3 in maintaining progenitor cell-like state in the cerebellum through comparisons of its lncRNAs and its comparisons to cancer cells? We will work in a group of 3 and will answer this question with three experiments:

 

If I were a developmental biologist

1. If you were a researcher in the general field of developmental genetics/genomics, what are two questions (to which we don’t yet know the answer) that you would be investigating?

  • Some animals live longer than others. What are the genes and transcripts involved in ageing in short-lived and long-lived animals? Can we edit the gene of an organism so that we increase its life span based on our findings?
  • Can we predict the ageing processes of an organism by looking at the genetic condition of the parent given that the parent and the offspring had the same environmental factors?

2. Pick one of your two questions and briefly describe its potential impact (i.e., if you were to find an answer, what would be the effects on your area of research, on science in general, on society…?)

First question: What are the genes and transcripts involved in ageing in short-lived and long-lived animals? Can we edit the gene of an organism so that we increase its life span based on our findings?

  • Ageing is an inevitable process in humans and other organisms. We can get more susceptible to diseases such as chronic inflammation and cancer. By understanding gene regulation involved in ageing, I wonder if we might be able to manipulate the ageing process and speed. This could lengthen the lifespan of an individual or help with offsprings that would inherit ageing related genetic conditions from parents. (?)