Common Homozygosity for Predicted Loss-Of-Function Variants Reveals Both Redundant and Advantageous Effects of Dispensable Human Genes
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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 -
The Expression of the Human Apolipoprotein Genes and Their Regulation by Ppars
CORE Metadata, citation and similar papers at core.ac.uk Provided by UEF Electronic Publications The expression of the human apolipoprotein genes and their regulation by PPARs Juuso Uski M.Sc. Thesis Biochemistry Department of Biosciences University of Kuopio June 2008 Abstract The expression of the human apolipoprotein genes and their regulation by PPARs. UNIVERSITY OF KUOPIO, the Faculty of Natural and Environmental Sciences, Curriculum of Biochemistry USKI Juuso Oskari Thesis for Master of Science degree Supervisors Prof. Carsten Carlberg, Ph.D. Merja Heinäniemi, Ph.D. June 2008 Keywords: nuclear receptors; peroxisome proliferator-activated receptor; PPAR response element; apolipoprotein; lipid metabolism; high density lipoprotein; low density lipoprotein. Lipids are any fat-soluble, naturally-occurring molecules and one of their main biological functions is energy storage. Lipoproteins carry hydrophobic lipids in the water and salt-based blood environment for processing and energy supply in liver and other organs. In this study, the genomic area around the apolipoprotein genes was scanned in silico for PPAR response elements (PPREs) using the in vitro data-based computer program. Several new putative REs were found in surroundings of multiple lipoprotein genes. The responsiveness of those apolipoprotein genes to the PPAR ligands GW501516, rosiglitazone and GW7647 in the HepG2, HEK293 and THP-1 cell lines were tested with real-time PCR. The APOA1, APOA2, APOB, APOD, APOE, APOF, APOL1, APOL3, APOL5 and APOL6 genes were found to be regulated by PPARs in direct or secondary manners. Those results provide new insights in the understanding of lipid metabolism and so many lifestyle diseases like atherosclerosis, type 2 diabetes, heart disease and stroke. -
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. -
Nucleic Acid High-Throughput Sequencing Studies Present Unique Challenges in Analysis and Interpretation
Nucleic Acid High-Throughput Sequencing Studies Present Unique Challenges in Analysis and Interpretation DISSERTATION Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Kenji Oman, B.S., M.S. Graduate Program in Physics The Ohio State University 2015 Dissertation Committee: Dr. Ralf Bundschuh, Advisor Dr. Kurt Fredrick Dr. Richard Furnstahl Dr. Michael Poirier c Copyright by Kenji Oman 2015 Abstract From the discovery of nucleic acids, their significance as an information carrier in the cell, and with the development of high-throughput sequencing (HTS) techniques, molecular biology has seen ever-increasing developments in our understanding of the mechanisms of life. Here we first present a small overview of the progression of our understanding of nucleic acids, and current HTS techniques used to study them. We then investigate the interaction of methyl-binding-domain (MBD) with methylated DNA, as used in MethylCap-seq (a HTS technique), and present a model for their interaction, and a Bayesian model utilizing our increased understanding to predict methylation levels in samples with an unknown methylation profile. We next introduce a HTS analysis pipeline we have developed, and examine the use of this pipeline in the analysis of 5′-end seq data, ultimately leading to its abandonment. Finally, we present a further application of the pipeline in our investigation of lepA’s role in translation initiation and elongation in E. coli. ii To my parents, who always told me I could. iii Acknowledgments There are many people who have helped me get to the point of a Ph.D. -
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. -
JUN-Mediated Downregulation of EGFR Signaling Is Associated With
Published OnlineFirst May 31, 2017; DOI: 10.1158/1535-7163.MCT-16-0564 Cancer Biology and Signal Transduction Molecular Cancer Therapeutics JUN-Mediated Downregulation of EGFR Signaling Is Associated with Resistance to Gefitinib in EGFR- mutant NSCLC Cell Lines Kian Kani1,2, Carolina Garri1, Katrin Tiemann1, Paymaneh D. Malihi1, Vasu Punj3, Anthony L. Nguyen1, Janet Lee1, Lindsey D. Hughes1, Ruth M. Alvarez1, Damien M. Wood1, Ah Young Joo1, Jonathan E. Katz1, David B. Agus1,2, and Parag Mallick1,4 Abstract Mutations or deletions in exons 18–21 in the EGFR)are HCC827 cells increased gefitinib IC50 from 49 nmol/L to 8 present in approximately 15% of tumors in patients with non– mmol/L (P < 0.001). Downregulation of JUN expression small cell lung cancer (NSCLC). They lead to activation of the through shRNA resensitized HCC827 cells to gefitinib (IC50 EGFR kinase domain and sensitivity to molecularly targeted from 49 nmol/L to 2 nmol/L; P < 0.01). Inhibitors targeting therapeutics aimed at this domain (gefitinib or erlotinib). JUNwere3-foldmoreeffectiveinthegefitinib-resistant cells These drugs have demonstrated objective clinical response in than in the parental cell line (P < 0.01). Analysis of gene many of these patients; however, invariably, all patients acquire expression in patient tumors with EGFR-activating mutations resistance. To examine the molecular origins of resistance, we and poor response to erlotinib revealed a similar pattern as the derivedasetofgefitinib-resistant cells by exposing lung ade- top 260 differentially expressed genes in the gefitinib-resistant nocarcinoma cell line, HCC827, with an activating mutation in cells (Spearman correlation coefficient of 0.78, P < 0.01). -
APOL3 (NM 030644) Human Tagged ORF Clone – RC218012L4 | Origene
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for RC218012L4 APOL3 (NM_030644) Human Tagged ORF Clone Product data: Product Type: Expression Plasmids Product Name: APOL3 (NM_030644) Human Tagged ORF Clone Tag: mGFP Symbol: APOL3 Synonyms: apoL-III; APOLIII; CG12_1; CG121 Vector: pLenti-C-mGFP-P2A-Puro (PS100093) E. coli Selection: Chloramphenicol (34 ug/mL) Cell Selection: Puromycin ORF Nucleotide The ORF insert of this clone is exactly the same as(RC218012). Sequence: Restriction Sites: SgfI-MluI Cloning Scheme: ACCN: NM_030644 ORF Size: 993 bp This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 2 APOL3 (NM_030644) Human Tagged ORF Clone – RC218012L4 OTI Disclaimer: The molecular sequence of this clone aligns with the gene accession number as a point of reference only. However, individual transcript sequences of the same gene can differ through naturally occurring variations (e.g. polymorphisms), each with its own valid existence. This clone is substantially in agreement with the reference, but a complete review of all prevailing variants is recommended prior to use. More info OTI Annotation: This clone was engineered to express the complete ORF with an expression tag. Expression varies depending on the nature of the gene. RefSeq: NM_030644.1 RefSeq Size: 2328 bp RefSeq ORF: 996 bp Locus ID: 80833 UniProt ID: O95236, A0A024R1G6 MW: 36.4 kDa Gene Summary: This gene is a member of the apolipoprotein L gene family, and it is present in a cluster with other family members on chromosome 22. -
The Apolipoprotein L Gene Cluster Has Emerged Recently in Evolution and Is Expressed in Human Vascular Tissue
doi:10.1006/geno.2002.6729, available online at http://www.idealibrary.com on IDEAL Article The Apolipoprotein L Gene Cluster Has Emerged Recently in Evolution and Is Expressed in Human Vascular Tissue Houshang Monajemi, Ruud D. Fontijn, Hans Pannekoek, and Anton J. G. Horrevoets* Department of Biochemistry of the Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands 1105 AZ *To whom correspondence and reprint requests should be addressed. Fax: (31) 20-6915519. E-mail: [email protected]. We previously isolated APOL3 (CG12-1) cDNA and now describe the isolation of APOL1 and APOL2 cDNA from an activated endothelial cell cDNA library and show their endothelial- specific expression in human vascular tissue. APOL1–APOL4 are clustered on human chro- mosome 22q13.1, as a result of tandem gene duplication, and were detected only in primates (humans and African green monkeys) and not in dogs, pigs, or rodents, showing that this gene cluster has arisen recently in evolution. The specific tissue distribution and gene organiza- tion suggest that these genes have diverged rapidly after duplication. This has resulted in the emergence of an additional signal peptide encoding exon that ensures secretion of the plasma high-density lipoprotein-associated APOL1. Our results show that the APOL1–APOL4 clus- ter might contribute to the substantial differences in the lipid metabolism of humans and mice, as dictated by the variable expression of genes involved in this process. Key Words: apolipoprotein L, gene cluster, duplication, evolution, endothelial cells, atherosclerosis, vascular wall, mouse lipid metabolism INTRODUCTION on chromosome 22, consisting of APOL1–APOL6 [6,7]. -
The Mechanism of Kidney Disease Due to APOL1 Risk Variants
PERSPECTIVE www.jasn.org The Mechanism of Kidney Disease Due to APOL1 Risk Variants Etienne Pays Laboratory of Molecular Parasitology, IBMM, Université Libre de Bruxelles, Gosselies, Belgium JASN 31: 2502–2505, 2020. doi: https://doi.org/10.1681/ASN.2020070954 The apoL1 C-terminal variants G1 and PI4KB, because autophagy and mito- induced by the viral mimetic poly(I:C) G2 are linked to CKD.1 Expression of chondrial fission are dependent on the is linked to apoL1 involvement in these variants induces effacement of po- transfer of PI4KB-containing vesicles apoptosis.2,5 It is tempting to propose docyte foot processes, leading to the loss carrying the autophagy marker ATG9A that, as occurs for apoptotic Bcl2 of these cells from glomeruli and impair- from the Golgi to the endoplasmic retic- proteins,9 apoL oligomerization re- ment of the blood filtration activity of ulum (ER).4,6,7 sulting from high protein expression the kidney. A characteristic of G1/G2- Thus, podocyte dysfunctions could triggers the formation of mitochon- linked disease is the strong association result from interference of apoL1 G1/ drial megapores.10 As occurs for Bcl2 of glomerular pathology with the type I G2 variants with PI4KB activity. This homologous antagonist killer (Bak) IFN inflammatory response, such as oc- conclusion differs from that of many or Bcl2–associated X (Bax), hydro- curs with viral infection.1 studies, which have concluded that G1 phobic residues exposed on apoL1 he- In podocytes, either truncation of the and G2 induce nonspecificcytotoxicity.1 lices