1 1 SUMO Maintains the Chromatin Environment of Human Induced
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Screening and Identification of Key Biomarkers in Clear Cell Renal Cell Carcinoma Based on Bioinformatics Analysis
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. Screening and identification of key biomarkers in clear cell renal cell carcinoma based on bioinformatics analysis Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. Abstract Clear cell renal cell carcinoma (ccRCC) is one of the most common types of malignancy of the urinary system. The pathogenesis and effective diagnosis of ccRCC have become popular topics for research in the previous decade. In the current study, an integrated bioinformatics analysis was performed to identify core genes associated in ccRCC. An expression dataset (GSE105261) was downloaded from the Gene Expression Omnibus database, and included 26 ccRCC and 9 normal kideny samples. Assessment of the microarray dataset led to the recognition of differentially expressed genes (DEGs), which was subsequently used for pathway and gene ontology (GO) enrichment analysis. -
E2F1 Interactive with BRCA1 Pathway Induces HCC Two Different Small Molecule Metabolism Or Cell Cycle Regulation Via Mitochondrion Or CD4+T to Cytosol
Received: 29 March 2017 | Accepted: 3 May 2017 DOI: 10.1002/jcp.25988 ORIGINAL RESEARCH ARTICLE E2F1 interactive with BRCA1 pathway induces HCC two different small molecule metabolism or cell cycle regulation via mitochondrion or CD4+T to cytosol Qingchun Chen1 | Lin Wang1 | Minghu Jiang2 | Juxiang Huang1 | Zhenfu Jiang1 | Haitao Feng3 | Zhili Ji4 1 Computation and Systems Biology, School of Electronic Engineering, Beijing University of Breast cancer 1 (BRCA1) and E2F transcription factor 1 (E2F1) are related to metabolism Posts and Telecommunications, Beijing, China and cell cycle regulation. However, the corresponding mechanism is not clear in HCC. 2 Lab of Computational Linguistics, School of Humanities and Social Sciences, Tsinghua High BRCA1 direct pathway was constructed with 11 molecules from E2F1 feedback- University, Beijing, China interactive network in HCC by GRNInfer based on 39 Pearson mutual positive 3 Dean department, Heilongjiang University of corelation CC ≥0.25 molecules with E2F1. Integration of GRNInfer with GO, KEGG, Chinese Medicine, Harbin, China BioCarta, GNF_U133A, UNIGENE_EST, Disease, GenMAPP databases by DAVID and 4 Department of General Surgery, Beijing Luhe Hospital, Capital Medical University, Beijing, China MAS 3.0, E2F1 feedback-interactive BRCA1 indirect mitochondrion to cytosol pathway was identified as upstream LAPTM4B activation, feedback UNG, downstream BCAT1- Correspondence Prof., Dr. Lin Wang, Computation and HIST1H2AD-TK1 reflecting protein, and DNA binding with enrichment of small molecule Systems Biology, School of Electronics metabolism; The corresponding BRCA1 indirect membrane to cytosol pathway as Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China. upstream CCNB2-NUSAP1 activation, feedback TTK-HIST1H2BJ-CENPF, downstream (Minghu Jiang c/o Lin Wang). -
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. -
Table S1. 49 Histone Variants Were Identified with High Sequence Coverage Through LC-MS/MS Analysis Electronic Supplementary
Electronic Supplementary Material (ESI) for Analytical Methods. This journal is © The Royal Society of Chemistry 2020 Table S1. 49 histone variants were identified with high sequence coverage through LC-MS/MS analysis Sequence Uniprot IDs Protein Name Protein Description Coverage Ratio E2+/E2- RSD P07305 H10_HUMAN 67.5% Histone H1.0 OS=Homo sapiens GN=H1F0 PE=1 SV=3 4.85 23.3% Histone H1.1 OS=Homo sapiens GN=HIST1H1A PE=1 Q02539 H11_HUMAN 74.4% SV=3 0.35 92.6% Histone H1.2 OS=Homo sapiens GN=HIST1H1C PE=1 P16403 H12_HUMAN 67.1% SV=2 0.73 80.6% Histone H1.3 OS=Homo sapiens GN=HIST1H1D PE=1 P16402 H13_HUMAN 63.8% SV=2 0.75 77.7% Histone H1.4 OS=Homo sapiens GN=HIST1H1E PE=1 P10412 H14_HUMAN 69.0% SV=2 0.70 80.3% Histone H1.5 OS=Homo sapiens GN=HIST1H1B PE=1 P16401 H15_HUMAN 79.6% SV=3 0.29 98.3% Testis-specific H1 histone OS=Homo sapiens GN=H1FNT Q75WM6 H1FNT_HUMAN 7.8% \ \ PE=2 SV=3 Histone H1oo OS=Homo sapiens GN=H1FOO PE=2 Q8IZA3 H1FOO_HUMAN 5.2% \ \ SV=1 Histone H1t OS=Homo sapiens GN=HIST1H1T PE=2 P22492 H1T_HUMAN 31.4% SV=4 1.42 65.0% Q92522 H1X_HUMAN 82.6% Histone H1x OS=Homo sapiens GN=H1FX PE=1 SV=1 1.15 33.2% Histone H2A type 1 OS=Homo sapiens GN=HIST1H2AG P0C0S8 H2A1_HUMAN 99.2% PE=1 SV=2 0.57 26.8% Q96QV6 H2A1A_HUMAN 58.0% Histone H2A type 1-A OS=Homo sapiens 0.90 11.2% GN=HIST1H2AA PE=1 SV=3 Histone H2A type 1-B/E OS=Homo sapiens P04908 H2A1B_HUMAN 99.2% GN=HIST1H2AB PE=1 SV=2 0.92 30.2% Histone H2A type 1-C OS=Homo sapiens Q93077 H2A1C_HUMAN 100.0% GN=HIST1H2AC PE=1 SV=3 0.76 27.6% Histone H2A type 1-D OS=Homo sapiens P20671 -
UNIVERSITY of CALIFORNIA, SAN DIEGO Functional Analysis of Sall4
UNIVERSITY OF CALIFORNIA, SAN DIEGO Functional analysis of Sall4 in modulating embryonic stem cell fate A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Molecular Pathology by Pei Jen A. Lee Committee in charge: Professor Steven Briggs, Chair Professor Geoff Rosenfeld, Co-Chair Professor Alexander Hoffmann Professor Randall Johnson Professor Mark Mercola 2009 Copyright Pei Jen A. Lee, 2009 All rights reserved. The dissertation of Pei Jen A. Lee is approved, and it is acceptable in quality and form for publication on microfilm and electronically: ______________________________________________________________ ______________________________________________________________ ______________________________________________________________ ______________________________________________________________ Co-Chair ______________________________________________________________ Chair University of California, San Diego 2009 iii Dedicated to my parents, my brother ,and my husband for their love and support iv Table of Contents Signature Page……………………………………………………………………….…iii Dedication…...…………………………………………………………………………..iv Table of Contents……………………………………………………………………….v List of Figures…………………………………………………………………………...vi List of Tables………………………………………………….………………………...ix Curriculum vitae…………………………………………………………………………x Acknowledgement………………………………………………….……….……..…...xi Abstract………………………………………………………………..…………….....xiii Chapter 1 Introduction ..…………………………………………………………………………….1 Chapter 2 Materials and Methods……………………………………………………………..…12 -
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 Cell Line P53 Mutation Type UM
A Cell line p53 mutation Type UM-SCC 1 wt UM-SCC5 Exon 5, 157 GTC --> TTC Missense mutation by transversion (Valine --> Phenylalanine UM-SCC6 wt UM-SCC9 wt UM-SCC11A wt UM-SCC11B Exon 7, 242 TGC --> TCC Missense mutation by transversion (Cysteine --> Serine) UM-SCC22A Exon 6, 220 TAT --> TGT Missense mutation by transition (Tyrosine --> Cysteine) UM-SCC22B Exon 6, 220 TAT --> TGT Missense mutation by transition (Tyrosine --> Cysteine) UM-SCC38 Exon 5, 132 AAG --> AAT Missense mutation by transversion (Lysine --> Asparagine) UM-SCC46 Exon 8, 278 CCT --> CGT Missense mutation by transversion (Proline --> Alanine) B 1 Supplementary Methods Cell Lines and Cell Culture A panel of ten established HNSCC cell lines from the University of Michigan series (UM-SCC) was obtained from Dr. T. E. Carey at the University of Michigan, Ann Arbor, MI. The UM-SCC cell lines were derived from eight patients with SCC of the upper aerodigestive tract (supplemental Table 1). Patient age at tumor diagnosis ranged from 37 to 72 years. The cell lines selected were obtained from patients with stage I-IV tumors, distributed among oral, pharyngeal and laryngeal sites. All the patients had aggressive disease, with early recurrence and death within two years of therapy. Cell lines established from single isolates of a patient specimen are designated by a numeric designation, and where isolates from two time points or anatomical sites were obtained, the designation includes an alphabetical suffix (i.e., "A" or "B"). The cell lines were maintained in Eagle's minimal essential media supplemented with 10% fetal bovine serum and penicillin/streptomycin. -
MBNL1 Regulates Essential Alternative RNA Splicing Patterns in MLL-Rearranged Leukemia
ARTICLE https://doi.org/10.1038/s41467-020-15733-8 OPEN MBNL1 regulates essential alternative RNA splicing patterns in MLL-rearranged leukemia Svetlana S. Itskovich1,9, Arun Gurunathan 2,9, Jason Clark 1, Matthew Burwinkel1, Mark Wunderlich3, Mikaela R. Berger4, Aishwarya Kulkarni5,6, Kashish Chetal6, Meenakshi Venkatasubramanian5,6, ✉ Nathan Salomonis 6,7, Ashish R. Kumar 1,7 & Lynn H. Lee 7,8 Despite growing awareness of the biologic features underlying MLL-rearranged leukemia, 1234567890():,; targeted therapies for this leukemia have remained elusive and clinical outcomes remain dismal. MBNL1, a protein involved in alternative splicing, is consistently overexpressed in MLL-rearranged leukemias. We found that MBNL1 loss significantly impairs propagation of murine and human MLL-rearranged leukemia in vitro and in vivo. Through transcriptomic profiling of our experimental systems, we show that in leukemic cells, MBNL1 regulates alternative splicing (predominantly intron exclusion) of several genes including those essential for MLL-rearranged leukemogenesis, such as DOT1L and SETD1A.Wefinally show that selective leukemic cell death is achievable with a small molecule inhibitor of MBNL1. These findings provide the basis for a new therapeutic target in MLL-rearranged leukemia and act as further validation of a burgeoning paradigm in targeted therapy, namely the disruption of cancer-specific splicing programs through the targeting of selectively essential RNA binding proteins. 1 Division of Bone Marrow Transplantation and Immune Deficiency, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA. 2 Cancer and Blood Diseases Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA. 3 Division of Experimental Hematology and Cancer Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA. -
Noninvasive Sleep Monitoring in Large-Scale Screening of Knock-Out Mice
bioRxiv preprint doi: https://doi.org/10.1101/517680; this version posted January 11, 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-ND 4.0 International license. Noninvasive sleep monitoring in large-scale screening of knock-out mice reveals novel sleep-related genes Shreyas S. Joshi1*, Mansi Sethi1*, Martin Striz1, Neil Cole2, James M. Denegre2, Jennifer Ryan2, Michael E. Lhamon3, Anuj Agarwal3, Steve Murray2, Robert E. Braun2, David W. Fardo4, Vivek Kumar2, Kevin D. Donohue3,5, Sridhar Sunderam6, Elissa J. Chesler2, Karen L. Svenson2, Bruce F. O'Hara1,3 1Dept. of Biology, University of Kentucky, Lexington, KY 40506, USA, 2The Jackson Laboratory, Bar Harbor, ME 04609, USA, 3Signal solutions, LLC, Lexington, KY 40503, USA, 4Dept. of Biostatistics, University of Kentucky, Lexington, KY 40536, USA, 5Dept. of Electrical and Computer Engineering, University of Kentucky, Lexington, KY 40506, USA. 6Dept. of Biomedical Engineering, University of Kentucky, Lexington, KY 40506, USA. *These authors contributed equally Address for correspondence and proofs: Shreyas S. Joshi, Ph.D. Dept. of Biology University of Kentucky 675 Rose Street 101 Morgan Building Lexington, KY 40506 U.S.A. Phone: (859) 257-2805 FAX: (859) 257-1717 Email: [email protected] Running title: Sleep changes in knockout mice bioRxiv preprint doi: https://doi.org/10.1101/517680; this version posted January 11, 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. -
Genetic and Genomic Analysis of Hyperlipidemia, Obesity and Diabetes Using (C57BL/6J × TALLYHO/Jngj) F2 Mice
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Nutrition Publications and Other Works Nutrition 12-19-2010 Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P. Stewart Marshall University Hyoung Y. Kim University of Tennessee - Knoxville, [email protected] Arnold M. Saxton University of Tennessee - Knoxville, [email protected] Jung H. Kim Marshall University Follow this and additional works at: https://trace.tennessee.edu/utk_nutrpubs Part of the Animal Sciences Commons, and the Nutrition Commons Recommended Citation BMC Genomics 2010, 11:713 doi:10.1186/1471-2164-11-713 This Article is brought to you for free and open access by the Nutrition at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Nutrition Publications and Other Works by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. Stewart et al. BMC Genomics 2010, 11:713 http://www.biomedcentral.com/1471-2164/11/713 RESEARCH ARTICLE Open Access Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P Stewart1, Hyoung Yon Kim2, Arnold M Saxton3, Jung Han Kim1* Abstract Background: Type 2 diabetes (T2D) is the most common form of diabetes in humans and is closely associated with dyslipidemia and obesity that magnifies the mortality and morbidity related to T2D. The genetic contribution to human T2D and related metabolic disorders is evident, and mostly follows polygenic inheritance. The TALLYHO/ JngJ (TH) mice are a polygenic model for T2D characterized by obesity, hyperinsulinemia, impaired glucose uptake and tolerance, hyperlipidemia, and hyperglycemia. -
Mir-376C Promotes Carcinogenesis and Serves As a Plasma Marker for Gastric Carcinoma
RESEARCH ARTICLE miR-376c promotes carcinogenesis and serves as a plasma marker for gastric carcinoma Pei-Shih Hung1, Chin-Yau Chen2, Wei-Ting Chen2, Chen-Yu Kuo3, Wen-Liang Fang4,5, Kuo-Hung Huang4,5, Peng-Chih Chiu5, Su-Shun Lo2,6* 1 Department of Education and Medical Research, National Yang-Ming University Hospital, Yilan, Taiwan, 2 Department of Surgery, National Yang-Ming University Hospital, Yilan, Taiwan, 3 Department of Medicine, National Yang-Ming University Hospital, Yilan, Taiwan, 4 Division of General Surgery, Veterans General Hospital±Taipei, Taipei, Taiwan, 5 Department of Dentistry, National Yang-Ming University Hospital, Yilan, Taiwan, 6 School of Medicine, National Yang-Ming University, Taipei, Taiwan a1111111111 [email protected] a1111111111 * a1111111111 a1111111111 a1111111111 Abstract Gastric carcinoma is highly prevalent throughout the world. Understanding the pathogenesis of this disease will benefit diagnosis and resolution. Studies show that miRNAs are involved in the tumorigenesis of gastric carcinoma. An initial screening followed by subsequent vali- OPEN ACCESS dation identified that miR-376c is up-regulated in gastric carcinoma tissue and the plasma Citation: Hung P-S, Chen C-Y, Chen W-T, Kuo C-Y, of patients with the disease. In addition, the urinary level of miR-376c is also significantly Fang W-L, Huang K-H, et al. (2017) miR-376c increased in gastric carcinoma patients. The plasma miR-376c level was validated as a bio- promotes carcinogenesis and serves as a plasma marker for gastric carcinoma. PLoS ONE 12(5): marker for gastric carcinoma, including early stage tumors. The induction of miR-376c was e0177346. -
Core Circadian Clock Transcription Factor BMAL1 Regulates Mammary Epithelial Cell
bioRxiv preprint doi: https://doi.org/10.1101/2021.02.23.432439; this version posted February 23, 2021. 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 4.0 International license. 1 Title: Core circadian clock transcription factor BMAL1 regulates mammary epithelial cell 2 growth, differentiation, and milk component synthesis. 3 Authors: Theresa Casey1ǂ, Aridany Suarez-Trujillo1, Shelby Cummings1, Katelyn Huff1, 4 Jennifer Crodian1, Ketaki Bhide2, Clare Aduwari1, Kelsey Teeple1, Avi Shamay3, Sameer J. 5 Mabjeesh4, Phillip San Miguel5, Jyothi Thimmapuram2, and Karen Plaut1 6 Affiliations: 1. Department of Animal Science, Purdue University, West Lafayette, IN, USA; 2. 7 Bioinformatics Core, Purdue University; 3. Animal Science Institute, Agriculture Research 8 Origination, The Volcani Center, Rishon Letsiyon, Israel. 4. Department of Animal Sciences, 9 The Robert H. Smith Faculty of Agriculture, Food, and Environment, The Hebrew University of 10 Jerusalem, Rehovot, Israel. 5. Genomics Core, Purdue University 11 Grant support: Binational Agricultural Research Development (BARD) Research Project US- 12 4715-14; Photoperiod effects on milk production in goats: Are they mediated by the molecular 13 clock in the mammary gland? 14 ǂAddress for correspondence. 15 Theresa M. Casey 16 BCHM Room 326 17 175 South University St. 18 West Lafayette, IN 47907 19 Email: [email protected] 20 Phone: 802-373-1319 21 22 bioRxiv preprint doi: https://doi.org/10.1101/2021.02.23.432439; this version posted February 23, 2021. 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.