Nucleic Acid High-Throughput Sequencing Studies Present Unique Challenges in Analysis and Interpretation
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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. -
Genome-Wide Analysis Reveals Selection Signatures Involved in Meat Traits and Local Adaptation in Semi-Feral Maremmana Cattle
Genome-Wide Analysis Reveals Selection Signatures Involved in Meat Traits and Local Adaptation in Semi-Feral Maremmana Cattle Slim Ben-Jemaa, Gabriele Senczuk, Elena Ciani, Roberta Ciampolini, Gennaro Catillo, Mekki Boussaha, Fabio Pilla, Baldassare Portolano, Salvatore Mastrangelo To cite this version: Slim Ben-Jemaa, Gabriele Senczuk, Elena Ciani, Roberta Ciampolini, Gennaro Catillo, et al.. Genome-Wide Analysis Reveals Selection Signatures Involved in Meat Traits and Local Adaptation in Semi-Feral Maremmana Cattle. Frontiers in Genetics, Frontiers, 2021, 10.3389/fgene.2021.675569. hal-03210766 HAL Id: hal-03210766 https://hal.inrae.fr/hal-03210766 Submitted on 28 Apr 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License ORIGINAL RESEARCH published: 28 April 2021 doi: 10.3389/fgene.2021.675569 Genome-Wide Analysis Reveals Selection Signatures Involved in Meat Traits and Local Adaptation in Semi-Feral Maremmana Cattle Slim Ben-Jemaa 1, Gabriele Senczuk 2, Elena Ciani 3, Roberta -
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. -
A Yeast Phenomic Model for the Influence of Warburg Metabolism on Genetic Buffering of Doxorubicin Sean M
Santos and Hartman Cancer & Metabolism (2019) 7:9 https://doi.org/10.1186/s40170-019-0201-3 RESEARCH Open Access A yeast phenomic model for the influence of Warburg metabolism on genetic buffering of doxorubicin Sean M. Santos and John L. Hartman IV* Abstract Background: The influence of the Warburg phenomenon on chemotherapy response is unknown. Saccharomyces cerevisiae mimics the Warburg effect, repressing respiration in the presence of adequate glucose. Yeast phenomic experiments were conducted to assess potential influences of Warburg metabolism on gene-drug interaction underlying the cellular response to doxorubicin. Homologous genes from yeast phenomic and cancer pharmacogenomics data were analyzed to infer evolutionary conservation of gene-drug interaction and predict therapeutic relevance. Methods: Cell proliferation phenotypes (CPPs) of the yeast gene knockout/knockdown library were measured by quantitative high-throughput cell array phenotyping (Q-HTCP), treating with escalating doxorubicin concentrations under conditions of respiratory or glycolytic metabolism. Doxorubicin-gene interaction was quantified by departure of CPPs observed for the doxorubicin-treated mutant strain from that expected based on an interaction model. Recursive expectation-maximization clustering (REMc) and Gene Ontology (GO)-based analyses of interactions identified functional biological modules that differentially buffer or promote doxorubicin cytotoxicity with respect to Warburg metabolism. Yeast phenomic and cancer pharmacogenomics data were integrated to predict differential gene expression causally influencing doxorubicin anti-tumor efficacy. Results: Yeast compromised for genes functioning in chromatin organization, and several other cellular processes are more resistant to doxorubicin under glycolytic conditions. Thus, the Warburg transition appears to alleviate requirements for cellular functions that buffer doxorubicin cytotoxicity in a respiratory context. -
Novel Signature Genes for Human Left Ventricle Cardiomyopathies Identifed by Weighted Co- Expression Network Analysis (WGCNA)
Novel Signature Genes for Human Left Ventricle Cardiomyopathies Identied by Weighted Co- expression Network Analysis (WGCNA) Jiao Tian Kunming Institute of Botany Chinese Academy of Sciences Zhengyuan Wu Kunming Institute of Botany Chinese Academy of Sciences Yaqi Zhang Kunming Institute of Botany Chinese Academy of Sciences Yingying He Yunnan University SHUBAI LIU ( [email protected] ) Kunming Institute of Botany Chinese Academy of Sciences Research Keywords: Heart failure, Cardiomyopathy, Ventricle cardiomyocytes, WGCNA, Signature gene Posted Date: October 8th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-86136/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/29 Abstract Background Cardiomyopathy, a heart disease that arises from different etiologies, brings a huge healthcare burden to the global society. Identication of biomarkers can be very useful for early diagnosis of cardiomyopathy, interruption of the disease procession to heart failure, and decrement of the mortality. Methods Clinical cases of cardiomyopathy were screened out of independently investigations from the genomic database. Exploration of its whole transcription disorder pattern by WGCNA (Weighted Gene Co- expression Network Analysis) to discover the signature genes for different subtypes of cardiomyopathy. The hub genes and key pathways, which are correlated to cardiomyopathy traits, were identied through co-expression and protein-protein interaction (PPI) networks enrichment analysis. Discovered hub genes were blast through the Cardiovascular Disease Portal to verify functions related to human cardiomyopathies. Results Three common axes of signature genes were discovered for ve subtypes of cardiomyopathy: 1) Four genes (MDM4, CFLAR, RPS6KB1, PKD1L2) were common for ischemic and ischemic cardiomyopathy subgroups; 2) Subtypes of cardiomyopathy (ischemic, post. -
Common Homozygosity for Predicted Loss-Of-Function Variants Reveals Both Redundant and Advantageous Effects of Dispensable Human Genes
Common homozygosity for predicted loss-of-function variants reveals both redundant and advantageous effects of dispensable human genes. Antonio Rausell, Yufei Luo, Marie Lopez, Yoann Seeleuthner, Franck Rapaport, Antoine Favier, Peter Stenson, David Cooper, Etienne Patin, Jean-Laurent Casanova, et al. To cite this version: Antonio Rausell, Yufei Luo, Marie Lopez, Yoann Seeleuthner, Franck Rapaport, et al.. Common homozygosity for predicted loss-of-function variants reveals both redundant and advantageous effects of dispensable human genes.. Proceedings of the National Academy of Sciences of the United States of America , National Academy of Sciences, 2020, 117 (24), pp.13626-13636. 10.1073/pnas.1917993117. hal-03020429 HAL Id: hal-03020429 https://hal.archives-ouvertes.fr/hal-03020429 Submitted on 18 Dec 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. ArticleExpress Dear Author Please use this PDF proof to check the layout of your article. If you would like any changes to be made to the layout, you can leave instructions in the online proofing interface. Making your changes directly in the online proofing interface is the quickest, easiest way to correct and submit your proof. Please note that changes made to the article in the online proofing interface will be added to the article before publication, but are not reflected in this PDF proof. -
Common Homozygosity for Predicted Loss-Of-Function Variants Reveals Both Redundant and Advantageous Effects of Dispensable Human Genes
Common homozygosity for predicted loss-of-function variants reveals both redundant and advantageous effects of dispensable human genes Antonio Rausella,b,1,2, Yufei Luoa,b,1, Marie Lopezc, Yoann Seeleuthnerb,d, Franck Rapaporte, Antoine Faviera,b, Peter D. Stensonf, David N. Cooperf, Etienne Patinc, Jean-Laurent Casanovab,d,e,g,h,2, Lluis Quintana-Murcic,i, and Laurent Abelb,d,e,2 aClinical Bioinformatics Laboratory, INSERM UMR1163, Necker Hospital for Sick Children, 75015 Paris, France; bUniversity of Paris, Imagine Institute, 75015 Paris, France; cHuman Evolutionary Genetics Unit, Institut Pasteur, UMR2000, CNRS, Paris 75015, France; dLaboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM UMR1163, Necker Hospital for Sick Children, 75015 Paris, France; eSt. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY 10065; fInstitute of Medical Genetics, School of Medicine, Cardiff University, CF14 4XN Cardiff, United Kingdom; gHoward Hughes Medical Institute, New York, NY 10065; hPediatric Hematology and Immunology Unit, Necker Hospital for Sick Children, 75015 Paris, France; and iHuman Genomics and Evolution, Collège de France, Paris 75005, France Contributed by Jean-Laurent Casanova, January 10, 2020 (sent for review October 24, 2019; reviewed by Philippe Froguel, John M. Greally, and Lennart Hammarström). Humans homozygous or hemizygous for variants predicted to in-frame insertions−deletions (indels), missense variants, splice cause a loss of function (LoF) of the corresponding protein do not region variants not affecting the essential splice regions, and even necessarily present with overt clinical phenotypes. We report here synonymous or deep intronic mutations, that may actually be LoF 190 autosomal genes with 207 predicted LoF variants, for which but cannot be systematically identified as such in silico. -
Title: a Yeast Phenomic Model for the Influence of Warburg Metabolism on Genetic
bioRxiv preprint doi: https://doi.org/10.1101/517490; this version posted January 15, 2019. 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 4.0 International license. 1 Title Page: 2 3 Title: A yeast phenomic model for the influence of Warburg metabolism on genetic 4 buffering of doxorubicin 5 6 Authors: Sean M. Santos1 and John L. Hartman IV1 7 1. University of Alabama at Birmingham, Department of Genetics, Birmingham, AL 8 Email: [email protected], [email protected] 9 Corresponding author: [email protected] 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 1 bioRxiv preprint doi: https://doi.org/10.1101/517490; this version posted January 15, 2019. 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 4.0 International license. 26 Abstract: 27 Background: 28 Saccharomyces cerevisiae represses respiration in the presence of adequate glucose, 29 mimicking the Warburg effect, termed aerobic glycolysis. We conducted yeast phenomic 30 experiments to characterize differential doxorubicin-gene interaction, in the context of 31 respiration vs. glycolysis. The resulting systems level biology about doxorubicin 32 cytotoxicity, including the influence of the Warburg effect, was integrated with cancer 33 pharmacogenomics data to identify potentially causal correlations between differential 34 gene expression and anti-cancer efficacy. -
A Genetic Locus on Chromosome 2Q24 Predicting Peripheral Neuropathy Risk in Type 2 Diabetes: Results from the ACCORD and BARI 2D Studies
A Genetic Locus on Chromosome 2q24 Predicting Peripheral Neuropathy Risk in Type 2 Diabetes: Results From the ACCORD and BARI 2D Studies Yaling Tang,1,2 Petra A. Lenzini,3 Rodica Pop-Busui,4 Pradipta R. Ray,5 Hannah Campbell,3,6 Bruce A. Perkins,7 Brian Callaghan,8 Michael J. Wagner,9 Alison A. Motsinger-Reif,10 John B. Buse,11 Theodore J. Price,5 Josyf C. Mychaleckyj,12 Sharon Cresci,3,6 Hetal Shah,1,2 and Alessandro Doria1,2 Diabetes 2019;68:1649–1662 | https://doi.org/10.2337/db19-0109 Genetic factors have been postulated to be involved of the lead SNP (rs13417783, minor allele frequency = 0.14) in the etiology of diabetic peripheral neuropathy (DPN), decreased DPN odds by 36% (odds ratio [OR] 0.64, 95% CI but their identity remains mostly unknown. The aim 0.55–0.74, P =1.93 1029). This effect was not influenced by of this study was to conduct a systematic search for ACCORD treatment assignments (P for interaction = 0.6) or genetic variants influencing DPN risk using two well- mediated by an association with known DPN risk factors. characterized cohorts. A genome-wide association study This locus was successfully validated in BARI 2D (OR 0.57, (GWAS) testing 6.8 million single nucleotide poly- 95% CI 0.42–0.80, P =93 1024; summary P =7.93 10212). In morphisms was conductedamongparticipantsof GTEx, the minor, protective allele at this locus was asso- the Action to Control Cardiovascular Risk in Diabetes ciated with higher tibial nerve expression of an adjacent (ACCORD) clinical trial. -
Investigating Developmental and Epileptic Encephalopathy Using Drosophila Melanogaster
International Journal of Molecular Sciences Review Investigating Developmental and Epileptic Encephalopathy Using Drosophila melanogaster Akari Takai 1 , Masamitsu Yamaguchi 2,3, Hideki Yoshida 2 and Tomohiro Chiyonobu 1,* 1 Department of Pediatrics, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan; [email protected] 2 Department of Applied Biology, Kyoto Institute of Technology, Matsugasaki, Sakyo-ku, Kyoto 603-8585, Japan; [email protected] (M.Y.); [email protected] (H.Y.) 3 Kansai Gakken Laboratory, Kankyo Eisei Yakuhin Co. Ltd., Kyoto 619-0237, Japan * Correspondence: [email protected] Received: 15 August 2020; Accepted: 1 September 2020; Published: 3 September 2020 Abstract: Developmental and epileptic encephalopathies (DEEs) are the spectrum of severe epilepsies characterized by early-onset, refractory seizures occurring in the context of developmental regression or plateauing. Early infantile epileptic encephalopathy (EIEE) is one of the earliest forms of DEE, manifesting as frequent epileptic spasms and characteristic electroencephalogram findings in early infancy. In recent years, next-generation sequencing approaches have identified a number of monogenic determinants underlying DEE. In the case of EIEE, 85 genes have been registered in Online Mendelian Inheritance in Man as causative genes. Model organisms are indispensable tools for understanding the in vivo roles of the newly identified causative genes. In this review, we first present an overview of epilepsy and its genetic etiology, especially focusing on EIEE and then briefly summarize epilepsy research using animal and patient-derived induced pluripotent stem cell (iPSC) models. The Drosophila model, which is characterized by easy gene manipulation, a short generation time, low cost and fewer ethical restrictions when designing experiments, is optimal for understanding the genetics of DEE. -
Clinical Efficacy and Immune Regulation with Peanut Oral
Clinical efficacy and immune regulation with peanut oral immunotherapy Stacie M. Jones, MD,a Laurent Pons, PhD,b Joseph L. Roberts, MD, PhD,b Amy M. Scurlock, MD,a Tamara T. Perry, MD,a Mike Kulis, PhD,b Wayne G. Shreffler, MD, PhD,c Pamela Steele, CPNP,b Karen A. Henry, RN,a Margaret Adair, MD,b James M. Francis, PhD,d Stephen Durham, MD,d Brian P. Vickery, MD,b Xiaoping Zhong, MD, PhD,b and A. Wesley Burks, MDb Little Rock, Ark, Durham, NC, New York, NY, and London, United Kingdom Background: Oral immunotherapy (OIT) has been thought to noted during OIT resolved spontaneously or with induce clinical desensitization to allergenic foods, but trials antihistamines. By 6 months, titrated skin prick tests and coupling the clinical response and immunologic effects of peanut activation of basophils significantly declined. Peanut-specific OIT have not been reported. IgE decreased by 12 to 18 months, whereas IgG4 increased Objective: The study objective was to investigate the clinical significantly. Serum factors inhibited IgE–peanut complex efficacy and immunologic changes associated with OIT. formation in an IgE-facilitated allergen binding assay. Secretion Methods: Children with peanut allergy underwent an OIT of IL-10, IL-5, IFN-g, and TNF-a from PBMCs increased over protocol including initial day escalation, buildup, and a period of 6 to 12 months. Peanut-specific forkhead box protein maintenance phases, and then oral food challenge. Clinical 3 T cells increased until 12 months and decreased thereafter. In response and immunologic changes were evaluated. addition, T-cell microarrays showed downregulation of genes in Results: Of 29 subjects who completed the protocol, 27 ingested apoptotic pathways. -
A High-Density Human Mitochondrial Proximity Interaction Network
bioRxiv preprint doi: https://doi.org/10.1101/2020.04.01.020479; this version posted April 2, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. A high-density human mitochondrial proximity interaction network Hana Antonicka1,2, Zhen-Yuan Lin3, Alexandre Janer1,2, Woranontee Weraarpachai1,5, Anne- Claude Gingras3,4,*, Eric A. Shoubridge1,2* 1 Montreal Neurological Institute, McGill University, Montreal, QC, Canada 2 Department of Human Genetics, McGill University, Montreal, QC, Canada 3 Lunenfeld-Tanenbaum Research Institute, Toronto, ON, Canada 4 Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada 5 Department of Biochemistry, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand Data deposition: Mass spectrometry data have been deposited in the Mass spectrometry Interactive Virtual Environment (MassIVE, http://massive.ucsd.edu). * corresponding authors Correspondence: e-mail: [email protected] Phone: (514) 398-1997 Fax: (514) 398-1509 e-mail: [email protected] Phone: (416) 586-5027 Fax: (416) 586-8869 Summary We used BioID, a proximity-dependent biotinylation assay, to interrogate 100 mitochondrial baits from all mitochondrial sub-compartments to create a high resolution human mitochondrial proximity interaction network. We identified 1465 proteins, producing 15626 unique high confidence proximity interactions. Of these, 528 proteins were previously annotated as mitochondrial, nearly half of the mitochondrial proteome defined by Mitocarta 2.0. Bait-bait analysis showed a clear separation of mitochondrial compartments, and correlation analysis among preys across all baits allowed us to identify functional clusters involved in diverse mitochondrial functions, and to assign uncharacterized proteins to specific modules.