Browsing by Subject "Alternative splicing"

Now showing 1 - 10 of 20
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    Allele-Specific Reprogramming of Cancer Metabolism by the Long Non-coding RNA CCAT2
    (Elsevier, 2016-02-18) Redis, Roxana S.; Vela, Luz E.; Lu, Weiqin; de Oliveira, Juliana Ferreira; Ivan, Cristina; Rodriguez-Aguayo, Cristian; Adamoski, Douglas; Pasculli, Barbara; Taguchi, Ayumu; Chen, Yunyun; Fernandez, Agustin F.; Valledor, Luis; Van Roosbroeck, Katrien; Chang, Samuel; Shah, Maitri; Kinnebrew, Garrett; Han, Leng; Atlasi, Yaser; Cheung, Lawrence H.; Huang, Gilbert Yuanjay; Monroig, Paloma; Ramirez, Marc S.; Ivkovic, Tina Catela; Van, Long; Ling, Hui; Gafà, Roberta; Kapitanovic, Sanja; Lanza, Giovanni; Bankson, James A.; Huang, Peng; Lai, Stephan Y.; Bast, Robert C.; Rosenblum, Michael G.; Radovich, Milan; Ivan, Mircea; Bartholomeusz, Geoffrey; Liang, Han; Fraga, Mario F.; Widger, William R.; Hanash, Samir; Berindan-Neagoe, Ioana; Lopez-Berestein, Gabriel; Ambrosio, Andre L.B.; Dias, Sandra M Gomes; Calin, George A.; Department of Surgery, IU School of Medicine
    Altered energy metabolism is a cancer hallmark as malignant cells tailor their metabolic pathways to meet their energy requirements. Glucose and glutamine are the major nutrients that fuel cellular metabolism, and the pathways utilizing these nutrients are often altered in cancer. Here, we show that the long ncRNA CCAT2, located at the 8q24 amplicon on cancer risk-associated rs6983267 SNP, regulates cancer metabolism in vitro and in vivo in an allele-specific manner by binding the Cleavage Factor I (CFIm) complex with distinct affinities for the two subunits (CFIm25 and CFIm68). The CCAT2 interaction with the CFIm complex fine-tunes the alternative splicing of Glutaminase (GLS) by selecting the poly(A) site in intron 14 of the precursor mRNA. These findings uncover a complex, allele-specific regulatory mechanism of cancer metabolism orchestrated by the two alleles of a long ncRNA.
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    Alternative Splicing Regulation of Low-Frequency Genetic Variants in Exon 2 of TREM2 in Alzheimer's Disease by Splicing-Based Aggregation
    (MDPI, 2021-09-13) Han, Seonggyun; Na, Yirang; Koh, Insong; Nho, Kwangsik; Lee, Younghee; Radiology and Imaging Sciences, School of Medicine
    TREM2 is among the most well-known Alzheimer’s disease (AD) risk genes; however, the functional roles of its AD-associated variants remain to be elucidated, and most known risk alleles are low-frequency variants whose investigation is challenging. Here, we utilized a splicing-guided aggregation method in which multiple low-frequency TREM2 variants were bundled together to investigate the functional impact of those variants on alternative splicing in AD. We analyzed whole genome sequencing (WGS) and RNA-seq data generated from cognitively normal elderly controls (CN) and AD patients in two independent cohorts, representing three regions in the frontal lobe of the human brain: the dorsolateral prefrontal cortex (CN = 213 and AD = 376), frontal pole (CN = 72 and AD = 175), and inferior frontal (CN = 63 and AD = 157). We observed an exon skipping event in the second exon of TREM2, with that exon tending to be more frequently skipped (p = 0.0012) in individuals having at least one low-frequency variant that caused loss-of-function for a splicing regulatory element. In addition, genes differentially expressed between AD patients with high vs. low skipping of the second exon (i.e., loss of a TREM2 functional domain) were significantly enriched in immune-related pathways. Our splicing-guided aggregation method thus provides new insight into the regulation of alternative splicing of the second exon of TREM2 by low-frequency variants and could be a useful tool for further exploring the potential molecular mechanisms of multiple, disease-associated, low-frequency variants.
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    Brain Region-Dependent Alternative Splicing of Alzheimer Disease (AD)-Risk Genes Is Associated With Neuropathological Features in AD
    (Korean Continence Society, 2022) Kim, Sara; Han, Seonggyun; Cho, Soo-Ah; Nho, Kwangsik; Koh, Insong; Lee, Younghee; Radiology and Imaging Sciences, School of Medicine
    Purpose: Alzheimer disease (AD) is one of the most complex diseases and is characterized by AD-related neuropathological features, including accumulation of amyloid-β plaques and tau neurofibrillary tangles. Dysregulation of alternative splicing (AS) contributes to these features, and there is heterogeneity in features across brain regions between AD patients, leading to different severity and progression rates; however, brain region-specific AS mechanisms still remain unclear. Therefore, we aimed to systemically investigate AS in multiple brain regions of AD patients and how they affect clinical features. Methods: We analyzed RNA sequencing (RNA-Seq) data obtained from brain regions (frontal and temporal) of AD patients. Reads were mapped to the hg19 reference genome using the STAR aligner, and exon skipping (ES) rates were estimated as percent spliced in (PSI) by rMATs. We focused on AD-risk genes discovered by genome-wide association studies, and accordingly evaluated associations between PSI of skipped exons in AD-risk genes and Braak stage and plaque density mean (PM) for each brain region. We also integrated whole-genome sequencing data of the ascertained samples with RNA-Seq data to identify genetic regulators of feature-associated ES. Results: We identified 26 and 41 ES associated with Braak stage in frontal and temporal regions, respectively, and 10 and 50 ES associated with PM. Among those, 10 were frontal-specific (CLU and NTRK2), 65 temporal-specific (HIF1A and TRPC4AP), and 26 shared ES (APP) that accompanied functional Gene Ontology terms, including axonogenesis in shared-ES genes. We further identified genetic regulators that account for 44 ES (44% of the total). Finally, we present as a case study the systematic regulation of an ES in APP, which is important in AD pathogenesis. Conclusion: This study provides new insights into brain region-dependent AS regulation of the architecture of AD-risk genes that contributes to AD pathologies, ultimately allowing identification of a treatment target and region-specific biomarkers for AD.
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    Characterizing alternative splicing and long non-coding RNA with high-throughput sequencing technology
    (2018-10) Zhou, Ao; Wu, Huanmei; Liu, Yunlong; Janga, Sarath C.; Liu, Xiaowen
    Several experimental methods has been developed for the study of the central dogma since late 20th century. Protein mass spectrometry and next generation sequencing (including DNA-Seq and RNA-Seq) forms a triangle of experimental methods, corresponding to the three vertices of the central dogma, i.e., DNA, RNA and protein. Numerous RNA sequencing and protein mass spectrometry experiments has been carried out in attempt to understand how the expression change of known genes affect biological functions in various of organisms, however, it has been once overlooked that the result data of these experiments are in fact holograms which also reveals other delicate biological mechanisms, such as RNA splicing and the expression of long non-coding RNAs. In this dissertation, we carried out five studies based on high-throughput sequencing data, in an attempt to understand how RNA splicing and differential expression of long non-coding RNAs is associated biological functions. In the first two studies, we identified and characterized 197 stimulant induced and 477 developmentally regulated alternative splicing events from RNA sequencing data. In the third study, we introduced a method for identifying novel alternative splicing events that were never documented. In the fourth study, we introduced a method for identifying known and novel RNA splicing junctions from protein mass spectrometry data. In the fifth study, we introduced a method for identifying long non-coding RNAs from poly-A selected RNA sequencing data. Taking advantage of these methods, we turned RNA sequencing and protein mass spectrometry data into an information gold mine of splicing and long non-coding RNA activities.
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    Comparative Analysis of Alternative Splicing Profiles in Th Cell Subsets Reveals Extensive Cell Type–Specific Effects Modulated by a Network of Transcription Factors and RNA-Binding Proteins
    (American Association of Immunologists, 2021-09-28) Mir, Quoseena; Lakshmipati, Deepak K.; Ulrich, Benjamin J.; Kaplan, Mark H.; Janga, Sarath Chandra; Biomedical Engineering and Informatics, Luddy School of Informatics, Computing, and Engineering
    Alternative splicing (AS) plays an important role in the development of many cell types; however, its contribution to Th subsets has been clearly defined. In this study, we compare mice naive CD4+ Th cells with Th1, Th2, Th17, and T regulatory cells and observed that the majority of AS events were retained intron, followed by skipped-exon events, with at least 1200 genes across cell types affected by AS events. A significant fraction of the AS events, especially retained intron events from the 72-h time point, were no longer observed 2 wk postdifferentiation, suggesting a role for AS in early activation and differentiation via preferential expression of specific isoforms required during T cell activation, but not for differentiation or effector function. Examining the protein consequence of the exon-skipping events revealed an abundance of structural proteins encoding for intrinsically unstructured peptide regions, followed by transmembrane helices, β strands, and polypeptide turn motifs. Analyses of expression profiles of RNA-binding proteins (RBPs) and their cognate binding sites flanking the discovered AS events revealed an enrichment for specific RBP recognition sites in each of the Th subsets. Integration with publicly available chromatin immunoprecipitation sequencing datasets for transcription factors support a model wherein lineage-determining transcription factors impact the RBP profile within the differentiating cells, and this differential expression contributes to AS of the transcriptome via a cascade of cell type-specific posttranscriptional rewiring events.
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    Differential RNA splicing as a potentially important driver mechanism in multiple myeloma
    (Ferrata Storti Foundation, 2021-03-01) Bauer, Michael A.; Ashby, Cody; Wardell, Christopher; Boyle, Eileen M.; Ortiz, Maria; Flynt, Erin; Thakurta, Anjan; Morgan, Gareth; Walker, Brian A.; Medicine, School of Medicine
    Disruption of the normal splicing patterns of RNA is a major factor in the pathogenesis of a number of diseases. Increasingly research has shown the strong influence that splicing patterns can have on cancer progression. Multiple Myeloma is a molecularly heterogeneous disease classified by the presence of key translocations, gene expression profiles and mutations but the splicing patterns in MM remains largely unexplored. We take a multifaceted approach to define the extent and impact of alternative splicing in MM. We look at the spliceosome component, SF3B1, with hotspot mutations (K700E and K666T/Q) shown to result in an increase in alternative splicing in other cancers. We discovered a number of differentially spliced genes in comparison of the SF3B1 mutant and wild type samples that included, MZB1, DYNLL1, TMEM14C and splicing related genes DHX9, CLASRP, and SNRPE. We identified a broader role for abnormal splicing showing clear differences in the extent of novel splice variants in the different translocation groups. We show that a high number of novel splice loci is associated with adverse survival and an ultra-high risk group. The enumeration of patterns of alternative splicing has the potential to refine MM classification and to aid in the risk stratification of patients.
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    The effect of alternative splicing on key regulators of the integrated stress response
    (2016-08) Alzahrani, Mohammed; Wek, Ronald C.; Goebl, Mark G.; Mosley, Amber L.
    The protein kinase General control non-derepressible-2 (GCN2) is a key regulator of the Integrated stress response that responds to various stress signals, including nutritional deprivation. As a result of high levels of uncharged tRNAs during amino acid depletion, GCN2 phosphorylates serine-51 of the α subunit of eukaryotic initiation factor-2 (eIF2), a translation factor that delivers initiator tRNA to ribosomes. Phosphorylation of eIF2α inhibits general translation, which conserves energy and nutrients and facilitates reprogramming of gene expression for remediation of stress damage. Phosphorylation of eIF2α also directs preferential translation of specific transcription factors, such as ATF4. ATF4 reprograms gene expression to alleviate stress damage; however, under chronic stress, ATF4 directs the transcriptional expression of CHOP, which can trigger apoptosis. Because multiple stresses can induce eIF2α phosphorylation and translational control in mammals, this pathway is referred to as the Integrated stress response. GCN2 and CHOP are subject to alternative splicing that results in multiple transcripts that differ in the 5'-end of the gene transcripts. However, the effect of the different GCN2 and CHOP isoforms on their function and regulation have not been investigated. Our data suggests that GCN2 is alternatively spliced into five different transcripts and the beta isoform of GCN2 is most abundant. Also alternative splicing of CHOP creates two CHOP transcripts with different 5'-leaders encoding inhibitory upstream open reading frames that are critical for translational control of CHOP during stress. This study suggests that alternative splicing can play an integral role in the implementation and regulation of key factors in the Integrated stress response.
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    ExonImpact: Prioritizing Pathogenic Alternative Splicing Events
    (Wiley, 2017-01) Li, Meng; Feng, Weixing; Zhang, Xinjun; Yang, Yuedong; Wang, Kejun; Mort, Matthew; Cooper, David N.; Wang, Yue; Zhou, Yaoqi; Liu, Yunlong; Medicine, School of Medicine
    Alternative splicing (AS) is a closely regulated process that allows a single gene to encode multiple protein isoforms, thereby contributing to the diversity of the proteome. Dysregulation of the splicing process has been found to be associated with many inherited diseases. However, in amongst the pathogenic AS events there are numerous “passenger” events whose inclusion or exclusion does not lead to significant changes with respect to protein function. In this study, we evaluate the secondary and tertiary structural features of proteins associated with disease-causing and neutral AS events, and show that several structural features are strongly associated with the pathological impact of exon inclusion. We further develop a machine learning-based computational model, ExonImpact, for prioritizing and evaluating the functional consequences of hitherto uncharacterized AS events. We evaluated our model using several strategies including cross-validation, and data from the Gene-Tissue Expression (GTEx) and ClinVar databases. ExonImpact is freely available at http://watson.compbio.iupui.edu/ExonImpact
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    FOXP3 interacts with hnRNPF to modulate pre-mRNA alternative splicing
    (American Society for Biochemistry and Molecular Biology, 2018-06-29) Du, Jianguang; Wang, Qun; Ziegler, Steven F.; Zhou, Baohua; Microbiology and Immunology, School of Medicine
    FOXP3 promotes the development and function of regulatory T cells mainly through regulating the transcription of target genes. RNA alternative splicing has been implicated in a wide range of physiological and pathophysiological processes. We report here that FOXP3 associates with heterogeneous nuclear ribonucleoprotein (hnRNP) F through the exon 2-encoded region of FOXP3 and the second quasi-RNA recognition motif (qRRM) of hnRNPF. FOXP3 represses the ability of hnRNPF to bind to its target pre-mRNA and thus modulates RNA alternative splicing. Furthermore, overexpression of mouse hnRNPF in in vitro-differentiated regulatory T cells (Tregs) reduced their suppressive function. Thus, our studies identify a novel mechanism by which FOXP3 regulates mRNA alternative splicing to modulate the function of regulatory T cells.
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    HNRNPC haploinsufficiency affects alternative splicing of intellectual disability-associated genes and causes a neurodevelopmental disorder
    (Elsevier, 2023) Niggl, Eva; Bouman, Arjan; Briere, Lauren C.; Hoogenboezem, Remco M.; Wallaard, Ilse; Park, Joohyun; Admard, Jakob; Wilke, Martina; Harris-Mostert, Emilio D. R. O.; Elgersma, Minetta; Bain, Jennifer; Balasubramanian, Meena; Banka, Siddharth; Benke, Paul J.; Bertrand, Miriam; Blesson, Alyssa E.; Clayton-Smith, Jill; Ellingford, Jamie M.; Gillentine, Madelyn A.; Goodloe, Dana H.; Haack, Tobias B.; Jain, Mahim; Krantz, Ian; Luu, Sharon M.; McPheron, Molly; Muss, Candace L.; Raible, Sarah E.; Robin, Nathaniel H.; Spiller, Michael; Starling, Susan; Sweetser, David A.; Thiffault, Isabelle; Vetrini, Francesco; Witt, Dennis; Woods, Emily; Zhou, Dihong; Genomics England Research Consortium; Undiagnosed Diseases Network; Elgersma, Ype; van Esbroeck, Annelot C. M.; Medical and Molecular Genetics, School of Medicine
    Heterogeneous nuclear ribonucleoprotein C (HNRNPC) is an essential, ubiquitously abundant protein involved in mRNA processing. Genetic variants in other members of the HNRNP family have been associated with neurodevelopmental disorders. Here, we describe 13 individuals with global developmental delay, intellectual disability, behavioral abnormalities, and subtle facial dysmorphology with heterozygous HNRNPC germline variants. Five of them bear an identical in-frame deletion of nine amino acids in the extreme C terminus. To study the effect of this recurrent variant as well as HNRNPC haploinsufficiency, we used induced pluripotent stem cells (iPSCs) and fibroblasts obtained from affected individuals. While protein localization and oligomerization were unaffected by the recurrent C-terminal deletion variant, total HNRNPC levels were decreased. Previously, reduced HNRNPC levels have been associated with changes in alternative splicing. Therefore, we performed a meta-analysis on published RNA-seq datasets of three different cell lines to identify a ubiquitous HNRNPC-dependent signature of alternative spliced exons. The identified signature was not only confirmed in fibroblasts obtained from an affected individual but also showed a significant enrichment for genes associated with intellectual disability. Hence, we assessed the effect of decreased and increased levels of HNRNPC on neuronal arborization and neuronal migration and found that either condition affects neuronal function. Taken together, our data indicate that HNRNPC haploinsufficiency affects alternative splicing of multiple intellectual disability-associated genes and that the developing brain is sensitive to aberrant levels of HNRNPC. Hence, our data strongly support the inclusion of HNRNPC to the family of HNRNP-related neurodevelopmental disorders.