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Item Alternative Splicing Regulation of an Alzheimer’s Risk Variant in CLU(MDPI, 2020-09-25) Han, Seonggyun; Nho, Kwangsik; Lee, Younghee; Radiology and Imaging Sciences, School of MedicineClusterin (CLU) is one of the risk genes most associated with late onset Alzheimer’s disease (AD), and several genetic variants in CLU are associated with AD risk. However, the functional role of known AD risk genetic variants in CLU has been little explored. We investigated the effect of an AD risk variant (rs7982) in the 5th exon of CLU on alternative splicing by using an integrative approach of brain-tissue-based RNA-Seq and whole genome sequencing data from Accelerating Medicines Partnership—Alzheimer’s Disease (AMP-AD). RNA-Seq data were generated from three regions in the temporal lobe of the brain—the temporal cortex, superior temporal gyrus, and parahippocampal gyrus. The rs7982 was significantly associated with intron retention (IR) of the 5th exon of CLU; as the number of alternative alleles (G) increased, the IR rates decreased more significantly in females than in males. Our results suggest a sex-dependent role of rs7982 in AD pathogenesis via splicing regulation.Item Differential Splicing of Skipped Exons Predicts Drug Response in Cancer Cell Lines(Elsevier, 2021-12) Simpson, Edward; Chen, Steven; Reiter, Jill L.; Liu, Yunlong; BioHealth Informatics, School of Informatics and ComputingAlternative splicing of pre-mRNA transcripts is an important regulatory mechanism that increases the diversity of gene products in eukaryotes. Various studies have linked specific transcript isoforms to altered drug response in cancer; however, few algorithms have incorporated splicing information into drug response prediction. In this study, we evaluated whether basal-level splicing information could be used to predict drug sensitivity by constructing doxorubicin-sensitivity classification models with splicing and expression data. We detailed splicing differences between sensitive and resistant cell lines by implementing quasi-binomial generalized linear modeling (QBGLM) and found altered inclusion of 277 skipped exons. We additionally conducted RNA-binding protein (RBP) binding motif enrichment and differential expression analysis to characterize cis- and trans-acting elements that potentially influence doxorubicin response-mediating splicing alterations. Our results showed that a classification model built with skipped exon data exhibited strong predictive power. We discovered an association between differentially spliced events and epithelial-mesenchymal transition (EMT) and observed motif enrichment, as well as differential expression of RBFOX and ELAVL RBP family members. Our work demonstrates the potential of incorporating splicing data into drug response algorithms and the utility of a QBGLM approach for fast, scalable identification of relevant splicing differences between large groups of samples.Item Human carboxylesterase 2 splice variants: expression, activity, and role in the metabolism of irinotecan and capecitabine(2009-02) Schiel, Marissa Ann; Bosron, William F.; Chiorean, E. Gabriela; Flockhart, David A.; Harrington, Maureen A.; Sanghani, Sonal P.Carboxylesterases (CES) are enzymes that metabolize a wide variety of compounds including esters, thioesters, carbamates, and amides. In humans there are three known carboxylesterase genes CES1, CES2, and CES3. Irinotecan (CPT-11) and capecitabine are important chemotherapeutic prodrugs that are used for the treatment of colorectal cancer. Of the three CES isoenzymes, CES2 has the highest catalytic efficiency for irinotecan activation. There is large inter-individual variation in response to treatment with irinotecan. Life-threatening late-onset diarrhea has been reported in approximately 13% of patients receiving irinotecan. Several studies have reported single nucleotide polymorphisms (SNPs) for the CES2 gene. However, there has been no consensus on the effect of different CES2 SNPs and their relationship to CES2 RNA expression or irinotecan hydrolase activity. Three CES2 mRNA transcripts of approximately 2kb,3kb, and 4kb have been identified by multi-tissue northern analysis. The expressed sequence tag (EST) database indicates that CES2 undergoes several splicing events that could generate up to six potential proteins. Four of the proteins CES2, CES2458-473, CES2+64, CES21-93 were studied to characterize their expression and activity. Multi-tissue northern analysis revealed that CES2+64 corresponds to the 4kb and 3kb transcripts while CES21-93 is located only in the 4 kb transcript. CES2458-473 is an inactive splice variant that accounts for approximately 6% of the CES2 transcripts in normal and tumor colon tissue. There is large inter-individual variation in CES2 expression in both tumor and normal colon samples. Characterization of CES2+64 identified the protein as normal CES2 indicating that the signal peptide is recognized in spite of the additional 64 amino acids at the N-terminus. Sub-cellular localization studies revealed that CES2 and CES2+64 localize to the ER, and CES21-93 localizes to the cytoplasm. To date CES2 SNP data has not provided any explanation for the high inter-individual variability in response to irinotecan treatment. Multi-tissue northern blots indicate that CES2 is expressed in a tissue specific manner. We have identified the CES2 variants which correspond to each mRNA transcript. This information will be critical to defining the role of CES2 variants in the different tissues.Item Intrinsically disordered proteins link alternative splicing and post-translational modifications to complex cell signaling and regulation(Elsevier, 2018) Zhou, Jianhong; Zhao, Suwen; Dunker, A. Keith; Biochemistry and Molecular Biology, School of MedicineIntrinsically disordered proteins and regions (IDPs and IDRs) lack well-defined tertiary structures, yet carry out various important cellular functions, especially those associated with cell signaling and regulation. In eukaryotes, IDPs and IDRs contain the preferred loci for both alternative splicing (AS) and many post-translational modifications (PTMs). Furthermore, AS and/or PTMs at these loci generally alter the signaling outcomes associated with these IDPs or IDRs, where the functional cooperation of these three features is named the IDP-AS-PTM toolkit. However, the prevalence of such functional modulations remains unknown. Also, the signal-altering mechanisms by which AS, and PTMs modulate function and the extent to which AS and PTMs collaborate in their signaling modulations have not been well defined for particular protein examples. Here we focus on three important signaling and regulatory IDR-containing protein families in humans, namely G-protein coupled receptors (GPCRs), which are transmembrane proteins, the nuclear factors of activated T-cells (NFATs), which are transcription factors (TFs), and the Src family kinases (SFKs), which are signaling enzymes. The goal here is to determine how AS and PTMs individually alter the outcomes of the signaling carried out by the various IDRs and to determine whether AS and PTMs work together to bring about differential cellular responses. We also present data indicating that a wide range of other signaling IDPs or IDRs undergo both AS- and PTM-based modifications, suggesting that they, too, likely take advantage of signal outcome modulations that result from collaboration between these two events. Hence, we propose that the widespread cooperation of IDPs, AS and/or PTMs provides a IDP-AS-PTM toolkit and substantially contributes to the vast complexity of eukaryotic cell signaling systems.Item IsoTree: A New Framework for De novo Transcriptome Assembly from RNA-seq Reads(IEEE, 2018-02) Zhao, Jin; Feng, Haodi; Zhu, Daming; Zhang, Chi; Xu, Ying; Medical and Molecular Genetics, School of MedicineHigh-throughput sequencing of mRNA has made the deep and efficient probing of transcriptome more affordable. However, the vast amounts of short RNA-seq reads make de novo transcriptome assembly an algorithmic challenge. In this work, we present IsoTree, a novel framework for transcripts reconstruction in the absence of reference genomes. Unlike most of de novo assembly methods that build de Bruijn graph or splicing graph by connecting $k-mers$ which are sets of overlapping substrings generated from reads, IsoTree constructs splicing graph by connecting reads directly. For each splicing graph, IsoTree applies an iterative scheme of mixed integer linear program to build a prefix tree, called isoform tree. Each path from the root node of the isoform tree to a leaf node represents a plausible transcript candidate which will be pruned based on the information of paired-end reads. Experiments showed that in most cases IsoTree performs better than other leading transcriptome assembly programs. IsoTree is available at https://github.com/Jane110111107/IsoTree.Item Modulation of Splicing Factor Function and Alternative Splicing Outcomes(2022-06) Chen, Steven Xiwei; Liu, Yunlong; Lu, Xiongbin; Schneider, Bryan P.; Wek, Ronald C.Alternative RNA splicing is an important means of genetic control and transcriptome diversity. Alternative splicing events are frequently studied independently, and coordinated splicing controlled by common factors is often overlooked: The molecular mechanisms by which splicing regulators promote or repress specific pre-mRNA processing are still not yet well understood. It is well known that splicing factors can regulate splicing in a context-dependent manner, and the search for modulation of splicing factor activity via direct or indirect mechanisms is a worthwhile pursuit towards explaining context-dependent activity. We hypothesized that the combined analysis of hundreds of consortium RNA-seq datasets could identify trans-acting “modulators” whose expression is correlated with differential effects of a splicing factor on its target splice events in mRNAs. We first tested a genome-wide approach to identify relationships between RNA-binding proteins and their inferred modulators in kidney cancer. We then applied a more targeted approach to identify novel modulators of splicing factor SRSF1 function over dozens of its intron retention splicing targets in a neurological context using hundreds of dorsolateral prefrontal cortex samples. Our hypothesized model was further strengthened with the incorporation of genetic variants to impute gene expression in a Mendelian randomization-based approach. The modulators of intron retention splicing we identified may be associated with risk variants linked to Alzheimer’s Disease, among other neurological disorders, to explain disease-causing splicing mechanisms. Our strategy can be widely used to identify modulators of RNA-binding proteins involved in tissue-specific alternative splicing.Item Splicing factor ESRP1 controls ER-positive breast cancer by altering metabolic pathways(EMBO Press, 2019-02) Gökmen‐Polar, Yesim; Neelamraju, Yaseswini; Goswami, Chirayu P.; Gu, Yuan; Gu, Xiaoping; Nallamothu, Gouthami; Vieth, Edyta; Janga, Sarath C.; Ryan, Michael; Badve, Sunil S.; Pathology and Laboratory Medicine, School of MedicineThe epithelial splicing regulatory proteins 1 and 2 (ESRP1 and ESRP2) control the epithelial-to-mesenchymal transition (EMT) splicing program in cancer. However, their role in breast cancer recurrence is unclear. In this study, we report that high levels of ESRP1, but not ESRP2, are associated with poor prognosis in estrogen receptor positive (ER+) breast tumors. Knockdown of ESRP1 in endocrine-resistant breast cancer models decreases growth significantly and alters the EMT splicing signature, which we confirm using TCGA SpliceSeq data of ER+ BRCA tumors. However, these changes are not accompanied by the development of a mesenchymal phenotype or a change in key EMT-transcription factors. In tamoxifen-resistant cells, knockdown of ESRP1 affects lipid metabolism and oxidoreductase processes, resulting in the decreased expression of fatty acid synthase (FASN), stearoyl-CoA desaturase 1 (SCD1), and phosphoglycerate dehydrogenase (PHGDH) at both the mRNA and protein levels. Furthermore, ESRP1 knockdown increases the basal respiration and spare respiration capacity. This study reports a novel role for ESRP1 that could form the basis for the prevention of tamoxifen resistance in ER+ breast cancer.