Person: Chen, Yiwen
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Chen
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Yiwen
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Chen, Yiwen
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Publication Integrative genomic analyses reveal clinically relevant long non-coding RNA in human cancer(2013) Du, Zhou; Fei, Teng; Verhaak, Roel G.W.; Su, Zhen; Zhang, Yong; Brown, Myles; Chen, Yiwen; Liu, X. ShirleyDespite growing appreciations of the importance of long non-coding RNA (lncRNA) in normal physiology and disease, our knowledge of cancer-related lncRNA remains limited. By repurposing microarray probes, we constructed the expression profile of 10,207 lncRNA genes in approximately 1,300 tumors over four different cancer types. Through integrative analysis of the lncRNA expression profiles with clinical outcome and somatic copy number alteration (SCNA), we identified lncRNA that are associated with cancer subtypes and clinical prognosis, and predicted those that are potential drivers of cancer progression. We validated our predictions by experimentally confirming prostate cancer cell growth dependence on two novel lncRNA. Our analysis provided a resource of clinically relevant lncRNA for development of lncRNA biomarkers and identification of lncRNA therapeutic targets. It also demonstrated the power of integrating publically available genomic datasets and clinical information for discovering disease associated lncRNA.Publication XBP1 Promotes Triple Negative Breast Cancer By Controlling the HIF1 α Pathway(2014) Chen, Xi; Iliopoulos, Dimitrios; Zhang, Qing; Tang, Qianzi; Greenblatt, Matthew B.; Hatziapostolou, Maria; Lim, Elgene; Tam, Wai Leong; Ni, Min; Chen, Yiwen; Mai, Junhua; Shen, Haifa; Hu, Dorothy Z.; Adoro, Stanley; Hu, Bella; Song, Minkyung; Tan, Chen; Landis, Melissa D.; Ferrari, Mauro; Shin, Sandra J.; Brown, Myles; Chang, Jenny C.; Liu, X. Shirley; Glimcher, Laurie H.Cancer cells induce a set of adaptive response pathways to survive in the face of stressors due to inadequate vascularization1. One such adaptive pathway is the unfolded protein (UPR) or endoplasmic reticulum (ER) stress response mediated in part by the ER-localized transmembrane sensor IRE12 and its substrate XBP13. Previous studies report UPR activation in various human tumors4-6, but XBP1's role in cancer progression in mammary epithelial cells is largely unknown. Triple negative breast cancer (TNBC), a form of breast cancer in which tumor cells do not express the genes for estrogen receptor, progesterone receptor, and Her2/neu, is a highly aggressive malignancy with limited treatment options7, 8. Here, we report that XBP1 is activated in TNBC and plays a pivotal role in the tumorigenicity and progression of this human breast cancer subtype. In breast cancer cell line models, depletion of XBP1 inhibited tumor growth and tumor relapse and reduced the CD44high/CD24low population. Hypoxia-inducing factor (HIF)1α is known to be hyperactivated in TNBCs 9, 10. Genome-wide mapping of the XBP1 transcriptional regulatory network revealed that XBP1 drives TNBC tumorigenicity by assembling a transcriptional complex with HIF1α that regulates the expression of HIF1α targets via the recruitment of RNA polymerase II. Analysis of independent cohorts of patients with TNBC revealed a specific XBP1 gene expression signature that was highly correlated with HIF1α and hypoxia-driven signatures and that strongly associated with poor prognosis. Our findings reveal a key function for the XBP1 branch of the UPR in TNBC and imply that targeting this pathway may offer alternative treatment strategies for this aggressive subtype of breast cancer.Publication REST and Stress Resistance in Ageing and Alzheimer’s Disease(Nature Publishing Group, 2014) Lu, Tao; Aron, Liviu; Zullo, Joseph; Pan, Ying; Kim, Haeyoung; Chen, Yiwen; Yang, Tun-Hsiang; Kim, Hyun-Min; Drake, Derek; Liu, Xiaole; Bennett, David A.; Colaiacovo, Monica; Yankner, BruceHuman neurons are functional over an entire lifetime, yet the mechanisms that preserve function and protect against neurodegeneration during ageing are unknown. Here we show that induction of the repressor element 1-silencing transcription factor (REST; also known as neuron-restrictive silencer factor, NRSF) is a universal feature of normal ageing in human cortical and hippocampal neurons. REST is lost, however, in mild cognitive impairment and Alzheimer’s disease. Chromatin immunoprecipitation with deep sequencing and expression analysis show that REST represses genes that promote cell death and Alzheimer’s disease pathology, and induces the expression of stress response genes. Moreover, REST potently protects neurons from oxidative stress and amyloid β-protein toxicity, and conditional deletion of REST in the mouse brain leads to age-related neurodegeneration. A functional orthologue of REST, Caenorhabditis elegans SPR-4, also protects against oxidative stress and amyloid β-protein toxicity. During normal ageing, REST is induced in part by cell non-autonomous Wnt signalling. However, in Alzheimer’s disease, frontotemporal dementia and dementia with Lewy bodies, REST is lost from the nucleus and appears in autophagosomes together with pathological misfolded proteins. Finally, REST levels during ageing are closely correlated with cognitive preservation and longevity. Thus, the activation state of REST may distinguish neuroprotection from neurodegeneration in the ageing brain.Publication Enhancer RNAs participate in androgen receptor-driven looping that selectively enhances gene activation(Proceedings of the National Academy of Sciences, 2014) Hsieh, Chen-Lin; Fei, Teng; Chen, Yiwen; Li, Tiantian; Gao, Yanfei; Wang, Xiaodong; Sun, Tong; Sweeney, Christopher; Lee, Gwo-Shu Mary; Chen, Shaoyong; Balk, Steven; Liu, Xiaole; Brown, Myles; Kantoff, PhilipThe androgen receptor (AR) is a key factor that regulates the behavior and fate of prostate cancer cells. The AR-regulated network is activated when AR binds enhancer elements and modulates specific enhancer–promoter looping. Kallikrein-related peptidase 3 (KLK3), which codes for prostate-specific antigen (PSA), is a well-known AR-regulated gene and its upstream enhancers produce bidirectional enhancer RNAs (eRNAs), termed KLK3e. Here, we demonstrate that KLK3e facilitates the spatial interaction of the KLK3 enhancer and the KLK2 promoter and enhances long-distance KLK2 transcriptional activation. KLK3e carries the core enhancer element derived from the androgen response element III (ARE III), which is required for the interaction of AR and Mediator 1 (Med1). Furthermore, we show that KLK3e processes RNA-dependent enhancer activity depending on the integrity of core enhancer elements. The transcription of KLK3e was detectable and its expression is significantly correlated with KLK3 \((R^2 = 0.6213, P < 5 × 10^{−11})\) and KLK2 \((R^2 = 0.5893, P < 5 × 10^{−10})\) in human prostate tissues. Interestingly, RNAi silencing of KLK3e resulted in a modest negative effect on prostate cancer cell proliferation. Accordingly, we report that an androgen-induced eRNA scaffolds the AR-associated protein complex that modulates chromosomal architecture and selectively enhances AR-dependent gene expression.Publication MM-ChIP enables integrative analysis of cross-platform and between-laboratory ChIP-chip or ChIP-seq data(Springer Science + Business Media, 2011) Chen, Yiwen; Meyer, Clifford; Liu, Tao; Li, Wei; Liu, Jun; Liu, XiaoleThe ChIP-chip and ChIP-seq techniques enable genome-wide mapping of in vivo protein-DNA interactions and chromatin states. The cross-platform and between-laboratory variation poses a challenge to the comparison and integration of results from different ChIP experiments. We describe a novel method, MM-ChIP, which integrates information from cross-platform and between-laboratory ChIP-chip or ChIP-seq datasets. It improves both the sensitivity and the specificity of detecting ChIP-enriched regions, and is a useful meta-analysis tool for driving discoveries from multiple data sources.Publication Systematic Evaluation of Factors Influencing ChIP-Seq Fidelity(Nature Publishing Group, 2012) Negre, Nicolas; Li, Qunhua; Mieczkowska, Joanna O.; Slattery, Matthew; Kim, Tae-Kyung; Zieba, Jennifer; Ruan, Yijun; Bickel, Peter J.; Wold, Barbara J.; Lieb, Jason D.; Chen, Yiwen; Liu, Tao; Zhang, Yong; He, Housheng H; Myers, Richard M.; White, Kevin P.; Liu, XiaoleWe performed a systematic evaluation of how variations in sequencing depth and other parameters influence interpretation of Chromatin immunoprecipitation (ChIP) followed by sequencing (ChIP-seq) experiments. Using Drosophila S2 cells, we generated ChIP-seq datasets for a site-specific transcription factor (Suppressor of Hairy-wing) and a histone modification (H3K36me3). We detected a chromatin state bias, open chromatin regions yielded higher coverage, which led to false positives if not corrected and had a greater effect on detection specificity than any base-composition bias. Paired-end sequencing revealed that single-end data underestimated ChIP library complexity at high coverage. The removal of reads originating at the same base reduced false-positives while having little effect on detection sensitivity. Even at a depth of ~1 read/bp coverage of mappable genome, ~1% of the narrow peaks detected on a tiling array were missed by ChIP-seq. Evaluation of widely-used ChIP-seq analysis tools suggests that adjustments or algorithm improvements are required to handle datasets with deep coverage.