RNA-Binding Proteins with Prion-Like Domains in Health and Disease
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Large-Scale Analysis of Genome and Transcriptome Alterations in Multiple Tumors Unveils Novel Cancer-Relevant Splicing Networks
Downloaded from genome.cshlp.org on September 28, 2021 - Published by Cold Spring Harbor Laboratory Press Research Large-scale analysis of genome and transcriptome alterations in multiple tumors unveils novel cancer-relevant splicing networks Endre Sebestyén,1,5 Babita Singh,1,5 Belén Miñana,1,2 Amadís Pagès,1 Francesca Mateo,3 Miguel Angel Pujana,3 Juan Valcárcel,1,2,4 and Eduardo Eyras1,4 1Universitat Pompeu Fabra, E08003 Barcelona, Spain; 2Centre for Genomic Regulation, E08003 Barcelona, Spain; 3Program Against Cancer Therapeutic Resistance (ProCURE), Catalan Institute of Oncology (ICO), Bellvitge Institute for Biomedical Research (IDIBELL), E08908 L’Hospitalet del Llobregat, Spain; 4Catalan Institution for Research and Advanced Studies, E08010 Barcelona, Spain Alternative splicing is regulated by multiple RNA-binding proteins and influences the expression of most eukaryotic genes. However, the role of this process in human disease, and particularly in cancer, is only starting to be unveiled. We system- atically analyzed mutation, copy number, and gene expression patterns of 1348 RNA-binding protein (RBP) genes in 11 solid tumor types, together with alternative splicing changes in these tumors and the enrichment of binding motifs in the alter- natively spliced sequences. Our comprehensive study reveals widespread alterations in the expression of RBP genes, as well as novel mutations and copy number variations in association with multiple alternative splicing changes in cancer drivers and oncogenic pathways. Remarkably, the altered splicing patterns in several tumor types recapitulate those of undifferen- tiated cells. These patterns are predicted to be mainly controlled by MBNL1 and involve multiple cancer drivers, including the mitotic gene NUMA1. We show that NUMA1 alternative splicing induces enhanced cell proliferation and centrosome am- plification in nontumorigenic mammary epithelial cells. -
Analysis of Gene Expression Data for Gene Ontology
ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins. -
Allele-Specific Expression of Ribosomal Protein Genes in Interspecific Hybrid Catfish
Allele-specific Expression of Ribosomal Protein Genes in Interspecific Hybrid Catfish by Ailu Chen A dissertation submitted to the Graduate Faculty of Auburn University in partial fulfillment of the requirements for the Degree of Doctor of Philosophy Auburn, Alabama August 1, 2015 Keywords: catfish, interspecific hybrids, allele-specific expression, ribosomal protein Copyright 2015 by Ailu Chen Approved by Zhanjiang Liu, Chair, Professor, School of Fisheries, Aquaculture and Aquatic Sciences Nannan Liu, Professor, Entomology and Plant Pathology Eric Peatman, Associate Professor, School of Fisheries, Aquaculture and Aquatic Sciences Aaron M. Rashotte, Associate Professor, Biological Sciences Abstract Interspecific hybridization results in a vast reservoir of allelic variations, which may potentially contribute to phenotypical enhancement in the hybrids. Whether the allelic variations are related to the downstream phenotypic differences of interspecific hybrid is still an open question. The recently developed genome-wide allele-specific approaches that harness high- throughput sequencing technology allow direct quantification of allelic variations and gene expression patterns. In this work, I investigated allele-specific expression (ASE) pattern using RNA-Seq datasets generated from interspecific catfish hybrids. The objective of the study is to determine the ASE genes and pathways in which they are involved. Specifically, my study investigated ASE-SNPs, ASE-genes, parent-of-origins of ASE allele and how ASE would possibly contribute to heterosis. My data showed that ASE was operating in the interspecific catfish system. Of the 66,251 and 177,841 SNPs identified from the datasets of the liver and gill, 5,420 (8.2%) and 13,390 (7.5%) SNPs were identified as significant ASE-SNPs, respectively. -
Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino-Like Mouse Models: Tracking the Role of the Hairless Gene
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Doctoral Dissertations Graduate School 5-2006 Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino-like Mouse Models: Tracking the Role of the Hairless Gene Yutao Liu University of Tennessee - Knoxville Follow this and additional works at: https://trace.tennessee.edu/utk_graddiss Part of the Life Sciences Commons Recommended Citation Liu, Yutao, "Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino- like Mouse Models: Tracking the Role of the Hairless Gene. " PhD diss., University of Tennessee, 2006. https://trace.tennessee.edu/utk_graddiss/1824 This Dissertation is brought to you for free and open access by the Graduate School at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Doctoral Dissertations by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. To the Graduate Council: I am submitting herewith a dissertation written by Yutao Liu entitled "Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino-like Mouse Models: Tracking the Role of the Hairless Gene." I have examined the final electronic copy of this dissertation for form and content and recommend that it be accepted in partial fulfillment of the requirements for the degree of Doctor of Philosophy, with a major in Life Sciences. Brynn H. Voy, Major Professor We have read this dissertation and recommend its acceptance: Naima Moustaid-Moussa, Yisong Wang, Rogert Hettich Accepted for the Council: Carolyn R. -
Molecular Basis for the Distinct Cellular Functions of the Lsm1-7 and Lsm2-8 Complexes
bioRxiv preprint doi: https://doi.org/10.1101/2020.04.22.055376; this version posted April 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Molecular basis for the distinct cellular functions of the Lsm1-7 and Lsm2-8 complexes Eric J. Montemayor1,2, Johanna M. Virta1, Samuel M. Hayes1, Yuichiro Nomura1, David A. Brow2, Samuel E. Butcher1 1Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA. 2Department of Biomolecular Chemistry, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA. Correspondence should be addressed to E.J.M. ([email protected]) and S.E.B. ([email protected]). Abstract Eukaryotes possess eight highly conserved Lsm (like Sm) proteins that assemble into circular, heteroheptameric complexes, bind RNA, and direct a diverse range of biological processes. Among the many essential functions of Lsm proteins, the cytoplasmic Lsm1-7 complex initiates mRNA decay, while the nuclear Lsm2-8 complex acts as a chaperone for U6 spliceosomal RNA. It has been unclear how these complexes perform their distinct functions while differing by only one out of seven subunits. Here, we elucidate the molecular basis for Lsm-RNA recognition and present four high-resolution structures of Lsm complexes bound to RNAs. The structures of Lsm2-8 bound to RNA identify the unique 2′,3′ cyclic phosphate end of U6 as a prime determinant of specificity. In contrast, the Lsm1-7 complex strongly discriminates against cyclic phosphates and tightly binds to oligouridylate tracts with terminal purines. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
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Staufen2 functions in Staufen1-mediated mRNA decay INAUGURAL ARTICLE by binding to itself and its paralog and promoting UPF1 helicase but not ATPase activity Eonyoung Parka,b, Michael L. Gleghorna,b, and Lynne E. Maquata,b,1 aDepartment of Biochemistry and Biophysics, School of Medicine and Dentistry, and bCenter for RNA Biology, University of Rochester, Rochester, NY 14642 This contribution is part of the special series of Inaugural Articles by members of the National Academy of Sciences elected in 2011. Edited by Michael R. Botchan, University of California, Berkeley, CA, and approved November 16, 2012 (received for review August 3, 2012) Staufen (STAU)1-mediated mRNA decay (SMD) is a posttranscrip- harbor a STAU1-binding site (SBS) downstream of their normal tional regulatory mechanism in mammals that degrades mRNAs termination codon in a pathway called STAU1-mediated mRNA harboring a STAU1-binding site (SBS) in their 3′-untranslated regions decay or SMD (13, 14), and work published by others indicates (3′ UTRs). We show that SMD involves not only STAU1 but also its that SMD does not involve STAU2 (3, 15). paralog STAU2. STAU2, like STAU1, is a double-stranded RNA-binding According to our current model for SMD, when translation protein that interacts directly with the ATP-dependent RNA helicase terminates upstream of an SBS, recruitment of the nonsense-me- diated mRNA decay (NMD) factor UPF1 to SBS-bound STAU1 up-frameshift 1 (UPF1) to reduce the half-life of SMD targets that form fl an SBS by either intramolecular or intermolecular base-pairing. Com- triggers mRNA decay. SMD in uences a number of cellular pro- pared with STAU1, STAU2 binds ∼10-foldmoreUPF1and∼two- to cesses, including the differentiation of mouse C2C12 myoblasts to myotubes (16), the motility of human HaCaT keratinocytes (17), fivefold more of those SBS-containing mRNAs that were tested, and it and the differentiation of mouse 3T3-L1 preadipocytes to adipo- comparably promotes UPF1 helicase activity, which is critical for SMD. -
Bppart and Bpmax: RNA-RNA Interaction Partition Function and Structure Prediction for the Base Pair Counting Model
BPPart and BPMax: RNA-RNA Interaction Partition Function and Structure Prediction for the Base Pair Counting Model Ali Ebrahimpour-Boroojeny, Sanjay Rajopadhye, and Hamidreza Chitsaz ∗ Department of Computer Science, Colorado State University Abstract A few elite classes of RNA-RNA interaction (RRI), with complex roles in cellular functions such as miRNA-target and lncRNAs in human health, have already been studied. Accordingly, RRI bioinfor- matics tools tailored for those elite classes have been proposed in the last decade. Interestingly, there are somewhat unnoticed mRNA-mRNA interactions in the literature with potentially drastic biological roles. Hence, there is a need for high-throughput generic RRI bioinformatics tools. We revisit our RRI partition function algorithm, piRNA, which happens to be the most comprehensive and computationally-intensive thermodynamic model for RRI. We propose simpler models that are shown to retain the vast majority of the thermodynamic information that piRNA captures. We simplify the energy model and instead consider only weighted base pair counting to obtain BPPart for Base-pair Partition function and BPMax for Base-pair Maximization which are 225 and 1350 faster ◦ × × than piRNA, with a correlation of 0.855 and 0.836 with piRNA at 37 C on 50,500 experimentally charac- terized RRIs. This correlation increases to 0.920 and 0.904, respectively, at 180◦C. − Finally, we apply our algorithm BPPart to discover two disease-related RNAs, SNORD3D and TRAF3, and hypothesize their potential roles in Parkinson's disease and Cerebral Autosomal Dominant Arteri- opathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL). 1 Introduction Since mid 1990s with the advent of RNA interference discovery, RNA-RNA interaction (RRI) has moved to the spotlight in modern, post-genome biology. -
A SARS-Cov-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing
A SARS-CoV-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing Supplementary Information Supplementary Discussion All SARS-CoV-2 protein and gene functions described in the subnetwork appendices, including the text below and the text found in the individual bait subnetworks, are based on the functions of homologous genes from other coronavirus species. These are mainly from SARS-CoV and MERS-CoV, but when available and applicable other related viruses were used to provide insight into function. The SARS-CoV-2 proteins and genes listed here were designed and researched based on the gene alignments provided by Chan et. al. 1 2020 . Though we are reasonably sure the genes here are well annotated, we want to note that not every protein has been verified to be expressed or functional during SARS-CoV-2 infections, either in vitro or in vivo. In an effort to be as comprehensive and transparent as possible, we are reporting the sub-networks of these functionally unverified proteins along with the other SARS-CoV-2 proteins. In such cases, we have made notes within the text below, and on the corresponding subnetwork figures, and would advise that more caution be taken when examining these proteins and their molecular interactions. Due to practical limits in our sample preparation and data collection process, we were unable to generate data for proteins corresponding to Nsp3, Orf7b, and Nsp16. Therefore these three genes have been left out of the following literature review of the SARS-CoV-2 proteins and the protein-protein interactions (PPIs) identified in this study. -
AMP-Activated Protein Kinase Alpha Regulates Stress Granule Biogenesis
Data in Brief 4 (2015) 54–59 Contents lists available at ScienceDirect Data in Brief journal homepage: www.elsevier.com/locate/dib Data in support of 50AMP-activated protein kinase alpha regulates stress granule biogenesis Hicham Mahboubi, Ramla Barisé, Ursula Stochaj n Department of Physiology, McGill University, Montréal, Canada article info abstract Article history: This data article contains insights into the regulation of cytoplasmic Received 13 April 2015 stress granules (SGs) by 50-AMP-activated kinase (AMPK). Our results Accepted 13 April 2015 verify the specific association of AMPK-α2, but not AMPK-α1, with SGs. Available online 6 May 2015 We also provide validation data for the isoform-specific recruitment of the AMPK-α subunit to SGs using (i) different antibodies and (ii) a distinct cellular model system. In addition, we assess the SG ass- ociation of the regulatory AMPK β-andγ-subunits. The interpretation of these data and further extensive insights into the regulation of SG biogenesis by AMPK can be found in “50AMP-activated protein kinase alpha regulates stress granule biogenesis” [1]. & 2015 The Authors. Published by Elsevier Inc. This is an open access articleundertheCCBYlicense (http://creativecommons.org/licenses/by/4.0/). Specifications table Subject area Biology More specific Stress response, cellular signaling, cell survival subject area Type of data Text, figures and graphs How data was Immunofluorescence microscopy, quantitative Western blotting acquired Data format Analyzed Experimental factors Mouse embryonic fibroblasts and human cancer cells (HeLa) treated with different inducers of cellular stress DOI of original article: http://dx.doi.org/10.1016/j.bbamcr.2015.03.015 n Corresponding author. -
Dissertation
Regulation of gene silencing: From microRNA biogenesis to post-translational modifications of TNRC6 complexes DISSERTATION zur Erlangung des DOKTORGRADES DER NATURWISSENSCHAFTEN (Dr. rer. nat.) der Fakultät Biologie und Vorklinische Medizin der Universität Regensburg vorgelegt von Johannes Danner aus Eggenfelden im Jahr 2017 Das Promotionsgesuch wurde eingereicht am: 12.09.2017 Die Arbeit wurde angeleitet von: Prof. Dr. Gunter Meister Johannes Danner Summary ‘From microRNA biogenesis to post-translational modifications of TNRC6 complexes’ summarizes the two main projects, beginning with the influence of specific RNA binding proteins on miRNA biogenesis processes. The fate of the mature miRNA is determined by the incorporation into Argonaute proteins followed by a complex formation with TNRC6 proteins as core molecules of gene silencing complexes. miRNAs are transcribed as stem-loop structured primary transcripts (pri-miRNA) by Pol II. The further nuclear processing is carried out by the microprocessor complex containing the RNase III enzyme Drosha, which cleaves the pri-miRNA to precursor-miRNA (pre-miRNA). After Exportin-5 mediated transport of the pre-miRNA to the cytoplasm, the RNase III enzyme Dicer cleaves off the terminal loop resulting in a 21-24 nt long double-stranded RNA. One of the strands is incorporated in the RNA-induced silencing complex (RISC), where it directly interacts with a member of the Argonaute protein family. The miRNA guides the mature RISC complex to partially complementary target sites on mRNAs leading to gene silencing. During this process TNRC6 proteins interact with Argonaute and recruit additional factors to mediate translational repression and target mRNA destabilization through deadenylation and decapping leading to mRNA decay. -
Stress Granule-Inducing Eukaryotic Translation Initiation Factor 4A Inhibitors Block Influenza a 2 Virus Replication 3
bioRxiv preprint doi: https://doi.org/10.1101/194589; this version posted October 2, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 Stress granule-inducing eukaryotic translation initiation factor 4A inhibitors block influenza A 2 virus replication 3 4 Patrick D. Slaine1, Mariel Kleer1, Nathan Smith2, Denys A. Khaperskyy1,* and Craig McCormick1,* 5 6 1Department of Microbiology and Immunology, Dalhousie University, 5850 College Street, Halifax NS, 7 Canada B3H 4R2 8 2Department of Community Health and Epidemiology, Dalhousie University, 5790 University Avenue, 9 Halifax NS, Canada B3H 1V7 10 11 12 13 14 15 16 17 18 19 20 21 *Co-corresponding authors: Denys A. Khaperskyy1, E-mail: [email protected] ; Craig 22 McCormick1, E-mail: [email protected] 23 24 Mailing address: Department of Microbiology and Immunology, Dalhousie University, 5850 College 25 Street, Halifax NS, Canada B3H 4R2. Tel: 1(902) 494-4519 26 27 Running Title: eIF4A inhibitors block influenza A virus replication 28 29 Keywords: influenza A virus/pateamine A/silvestrol/eIF4A/helicase/stress granule 30 1 bioRxiv preprint doi: https://doi.org/10.1101/194589; this version posted October 2, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license.