Table 5. the List of 202 Derived Functional Modules
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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. -
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. -
Role of Mitochondrial Ribosomal Protein S18-2 in Cancerogenesis and in Regulation of Stemness and Differentiation
From THE DEPARTMENT OF MICROBIOLOGY TUMOR AND CELL BIOLOGY (MTC) Karolinska Institutet, Stockholm, Sweden ROLE OF MITOCHONDRIAL RIBOSOMAL PROTEIN S18-2 IN CANCEROGENESIS AND IN REGULATION OF STEMNESS AND DIFFERENTIATION Muhammad Mushtaq Stockholm 2017 All previously published papers were reproduced with permission from the publisher. Published by Karolinska Institutet. Printed by E-Print AB 2017 © Muhammad Mushtaq, 2017 ISBN 978-91-7676-697-2 Role of Mitochondrial Ribosomal Protein S18-2 in Cancerogenesis and in Regulation of Stemness and Differentiation THESIS FOR DOCTORAL DEGREE (Ph.D.) By Muhammad Mushtaq Principal Supervisor: Faculty Opponent: Associate Professor Elena Kashuba Professor Pramod Kumar Srivastava Karolinska Institutet University of Connecticut Department of Microbiology Tumor and Cell Center for Immunotherapy of Cancer and Biology (MTC) Infectious Diseases Co-supervisor(s): Examination Board: Professor Sonia Lain Professor Ola Söderberg Karolinska Institutet Uppsala University Department of Microbiology Tumor and Cell Department of Immunology, Genetics and Biology (MTC) Pathology (IGP) Professor George Klein Professor Boris Zhivotovsky Karolinska Institutet Karolinska Institutet Department of Microbiology Tumor and Cell Institute of Environmental Medicine (IMM) Biology (MTC) Professor Lars-Gunnar Larsson Karolinska Institutet Department of Microbiology Tumor and Cell Biology (MTC) Dedicated to my parents ABSTRACT Mitochondria carry their own ribosomes (mitoribosomes) for the translation of mRNA encoded by mitochondrial DNA. The architecture of mitoribosomes is mainly composed of mitochondrial ribosomal proteins (MRPs), which are encoded by nuclear genomic DNA. Emerging experimental evidences reveal that several MRPs are multifunctional and they exhibit important extra-mitochondrial functions, such as involvement in apoptosis, protein biosynthesis and signal transduction. Dysregulations of the MRPs are associated with severe pathological conditions, including cancer. -
Interplay Between Epigenetics and Metabolism in Oncogenesis: Mechanisms and Therapeutic Approaches
OPEN Oncogene (2017) 36, 3359–3374 www.nature.com/onc REVIEW Interplay between epigenetics and metabolism in oncogenesis: mechanisms and therapeutic approaches CC Wong1, Y Qian2,3 and J Yu1 Epigenetic and metabolic alterations in cancer cells are highly intertwined. Oncogene-driven metabolic rewiring modifies the epigenetic landscape via modulating the activities of DNA and histone modification enzymes at the metabolite level. Conversely, epigenetic mechanisms regulate the expression of metabolic genes, thereby altering the metabolome. Epigenetic-metabolomic interplay has a critical role in tumourigenesis by coordinately sustaining cell proliferation, metastasis and pluripotency. Understanding the link between epigenetics and metabolism could unravel novel molecular targets, whose intervention may lead to improvements in cancer treatment. In this review, we summarized the recent discoveries linking epigenetics and metabolism and their underlying roles in tumorigenesis; and highlighted the promising molecular targets, with an update on the development of small molecule or biologic inhibitors against these abnormalities in cancer. Oncogene (2017) 36, 3359–3374; doi:10.1038/onc.2016.485; published online 16 January 2017 INTRODUCTION metabolic genes have also been identified as driver genes It has been appreciated since the early days of cancer research mutated in some cancers, such as isocitrate dehydrogenase 1 16 17 that the metabolic profiles of tumor cells differ significantly from and 2 (IDH1/2) in gliomas and acute myeloid leukemia (AML), 18 normal cells. Cancer cells have high metabolic demands and they succinate dehydrogenase (SDH) in paragangliomas and fuma- utilize nutrients with an altered metabolic program to support rate hydratase (FH) in hereditary leiomyomatosis and renal cell 19 their high proliferative rates and adapt to the hostile tumor cancer (HLRCC). -
Rps3/Us3 Promotes Mrna Binding at the 40S Ribosome Entry Channel
Rps3/uS3 promotes mRNA binding at the 40S ribosome PNAS PLUS entry channel and stabilizes preinitiation complexes at start codons Jinsheng Donga, Colin Echeverría Aitkenb, Anil Thakura, Byung-Sik Shina, Jon R. Lorschb,1, and Alan G. Hinnebuscha,1 aLaboratory of Gene Regulation and Development, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892; and bLaboratory on the Mechanism and Regulation of Protein Synthesis, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892 Contributed by Alan G. Hinnebusch, January 24, 2017 (sent for review December 15, 2016; reviewed by Jamie H. D. Cate and Matthew S. Sachs) Met The eukaryotic 43S preinitiation complex (PIC) bearing Met-tRNAi rearrangement to PIN at both near-cognate start codons (e.g., in a ternary complex (TC) with eukaryotic initiation factor (eIF)2-GTP UUG) and cognate (AUG) codons in poor Kozak context; hence scans the mRNA leader for an AUG codon in favorable “Kozak” eIF1 must dissociate from the 40S subunit for start-codon rec- context. AUG recognition provokes rearrangement from an open ognition (Fig. 1A). Consistent with this, structural analyses of PIC conformation with TC bound in a state not fully engaged with partial PICs reveal that eIF1 and eIF1A promote rotation of the “ ” the P site ( POUT ) to a closed, arrested conformation with TC tightly 40S head relative to the body (2, 3), thought to be instrumental bound in the “P ” state. Yeast ribosomal protein Rps3/uS3 resides IN in TC binding in the POUT conformation, but that eIF1 physically in the mRNA entry channel of the 40S subunit and contacts mRNA Met clashes with Met-tRNAi in the PIN state (2, 4), and is both via conserved residues whose functional importance was unknown. -
The Roles of Histone Deacetylase 5 and the Histone Methyltransferase Adaptor WDR5 in Myc Oncogenesis
The Roles of Histone Deacetylase 5 and the Histone Methyltransferase Adaptor WDR5 in Myc oncogenesis By Yuting Sun This thesis is submitted in fulfilment of the requirements for the degree of Doctor of Philosophy at the University of New South Wales Children’s Cancer Institute Australia for Medical Research School of Women’s and Children’s Health, Faculty of Medicine University of New South Wales Australia August 2014 PLEASE TYPE THE UNIVERSITY OF NEW SOUTH WALES Thesis/Dissertation Sheet Surname or Family name: Sun First name: Yuting Other name/s: Abbreviation for degree as given in the University calendar: PhD School : School of·Women's and Children's Health Faculty: Faculty of Medicine Title: The Roles of Histone Deacetylase 5 and the Histone Methyltransferase Adaptor WDR5 in Myc oncogenesis. Abstract 350 words maximum: (PLEASE TYPE) N-Myc Induces neuroblastoma by regulating the expression of target genes and proteins, and N-Myc protein is degraded by Fbxw7 and NEDD4 and stabilized by Aurora A. The class lla histone deacetylase HDAC5 suppresses gene transcription, and blocks myoblast and leukaemia cell differentiation. While histone H3 lysine 4 (H3K4) trimethylation at target gene promoters is a pre-requisite for Myc· induced transcriptional activation, WDRS, as a histone H3K4 methyltransferase presenter, is required for H3K4 methylation and transcriptional activation mediated by a histone H3K4 methyltransferase complex. Here, I investigated the roles of HDAC5 and WDR5 in N-Myc overexpressing neuroblastoma. I have found that N-Myc upregulates HDAC5 protein expression, and that HDAC5 represses NEDD4 gene expression, increases Aurora A gene expression and consequently upregulates N-Myc protein expression in neuroblastoma cells. -
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. -
The Histone Deacetylase HDA15 Interacts with MAC3A and MAC3B to Regulate Intron
bioRxiv preprint doi: https://doi.org/10.1101/2020.11.17.386672; this version posted November 17, 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. 1 The histone deacetylase HDA15 interacts with MAC3A and MAC3B to regulate intron 2 retention of ABA-responsive genes 3 4 Yi-Tsung Tu1#, Chia-Yang Chen1#, Yi-Sui Huang1, Ming-Ren Yen2, Jo-Wei Allison Hsieh2,3, 5 Pao-Yang Chen2,3*and Keqiang Wu1* 6 7 1Institute of Plant Biology, National Taiwan University, Taipei 10617, Taiwan 8 2 Institute of Plant and Microbial Biology, Academia Sinica, Taipei 11529, Taiwan 9 3 Genome and Systems Biology Degree Program, Academia Sinica and National Taiwan 10 University, Taipei, Taiwan 11 12 # These authors contributed equally to this work. 13 * Corresponding authors: Keqiang Wu ([email protected], +886-2-3366-4546) and Pao-Yang 14 Chen ([email protected], +886-2-2787-1140) 15 16 Short title: HDA15 and MAC3A/MAC3B coregulate intron retention 17 One sentence summary: HDA15 and MAC3A/MAC3B coregulate intron retention and reduce 18 the histone acetylation level of the genomic regions near ABA-responsive retained introns. 19 20 The author responsible for distribution of materials integral to the findings presented in this 21 article in accordance with the policy described in the Instructions for Authors (www.plantcell.org) 22 is: Keqiang Wu ([email protected]) 23 24 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.11.17.386672; this version posted November 17, 2020. -
Distinct Contributions of DNA Methylation and Histone Acetylation to the Genomic Occupancy of Transcription Factors
Downloaded from genome.cshlp.org on October 8, 2021 - Published by Cold Spring Harbor Laboratory Press Research Distinct contributions of DNA methylation and histone acetylation to the genomic occupancy of transcription factors Martin Cusack,1 Hamish W. King,2 Paolo Spingardi,1 Benedikt M. Kessler,3 Robert J. Klose,2 and Skirmantas Kriaucionis1 1Ludwig Institute for Cancer Research, University of Oxford, Oxford, OX3 7DQ, United Kingdom; 2Department of Biochemistry, University of Oxford, Oxford, OX1 3QU, United Kingdom; 3Target Discovery Institute, University of Oxford, Oxford, OX3 7FZ, United Kingdom Epigenetic modifications on chromatin play important roles in regulating gene expression. Although chromatin states are often governed by multilayered structure, how individual pathways contribute to gene expression remains poorly under- stood. For example, DNA methylation is known to regulate transcription factor binding but also to recruit methyl-CpG binding proteins that affect chromatin structure through the activity of histone deacetylase complexes (HDACs). Both of these mechanisms can potentially affect gene expression, but the importance of each, and whether these activities are inte- grated to achieve appropriate gene regulation, remains largely unknown. To address this important question, we measured gene expression, chromatin accessibility, and transcription factor occupancy in wild-type or DNA methylation-deficient mouse embryonic stem cells following HDAC inhibition. We observe widespread increases in chromatin accessibility at ret- rotransposons when HDACs are inhibited, and this is magnified when cells also lack DNA methylation. A subset of these elements has elevated binding of the YY1 and GABPA transcription factors and increased expression. The pronounced ad- ditive effect of HDAC inhibition in DNA methylation–deficient cells demonstrates that DNA methylation and histone deacetylation act largely independently to suppress transcription factor binding and gene expression. -
1 AGING Supplementary Table 2
SUPPLEMENTARY TABLES Supplementary Table 1. Details of the eight domain chains of KIAA0101. Serial IDENTITY MAX IN COMP- INTERFACE ID POSITION RESOLUTION EXPERIMENT TYPE number START STOP SCORE IDENTITY LEX WITH CAVITY A 4D2G_D 52 - 69 52 69 100 100 2.65 Å PCNA X-RAY DIFFRACTION √ B 4D2G_E 52 - 69 52 69 100 100 2.65 Å PCNA X-RAY DIFFRACTION √ C 6EHT_D 52 - 71 52 71 100 100 3.2Å PCNA X-RAY DIFFRACTION √ D 6EHT_E 52 - 71 52 71 100 100 3.2Å PCNA X-RAY DIFFRACTION √ E 6GWS_D 41-72 41 72 100 100 3.2Å PCNA X-RAY DIFFRACTION √ F 6GWS_E 41-72 41 72 100 100 2.9Å PCNA X-RAY DIFFRACTION √ G 6GWS_F 41-72 41 72 100 100 2.9Å PCNA X-RAY DIFFRACTION √ H 6IIW_B 2-11 2 11 100 100 1.699Å UHRF1 X-RAY DIFFRACTION √ www.aging-us.com 1 AGING Supplementary Table 2. Significantly enriched gene ontology (GO) annotations (cellular components) of KIAA0101 in lung adenocarcinoma (LinkedOmics). Leading Description FDR Leading Edge Gene EdgeNum RAD51, SPC25, CCNB1, BIRC5, NCAPG, ZWINT, MAD2L1, SKA3, NUF2, BUB1B, CENPA, SKA1, AURKB, NEK2, CENPW, HJURP, NDC80, CDCA5, NCAPH, BUB1, ZWILCH, CENPK, KIF2C, AURKA, CENPN, TOP2A, CENPM, PLK1, ERCC6L, CDT1, CHEK1, SPAG5, CENPH, condensed 66 0 SPC24, NUP37, BLM, CENPE, BUB3, CDK2, FANCD2, CENPO, CENPF, BRCA1, DSN1, chromosome MKI67, NCAPG2, H2AFX, HMGB2, SUV39H1, CBX3, TUBG1, KNTC1, PPP1CC, SMC2, BANF1, NCAPD2, SKA2, NUP107, BRCA2, NUP85, ITGB3BP, SYCE2, TOPBP1, DMC1, SMC4, INCENP. RAD51, OIP5, CDK1, SPC25, CCNB1, BIRC5, NCAPG, ZWINT, MAD2L1, SKA3, NUF2, BUB1B, CENPA, SKA1, AURKB, NEK2, ESCO2, CENPW, HJURP, TTK, NDC80, CDCA5, BUB1, ZWILCH, CENPK, KIF2C, AURKA, DSCC1, CENPN, CDCA8, CENPM, PLK1, MCM6, ERCC6L, CDT1, HELLS, CHEK1, SPAG5, CENPH, PCNA, SPC24, CENPI, NUP37, FEN1, chromosomal 94 0 CENPL, BLM, KIF18A, CENPE, MCM4, BUB3, SUV39H2, MCM2, CDK2, PIF1, DNA2, region CENPO, CENPF, CHEK2, DSN1, H2AFX, MCM7, SUV39H1, MTBP, CBX3, RECQL4, KNTC1, PPP1CC, CENPP, CENPQ, PTGES3, NCAPD2, DYNLL1, SKA2, HAT1, NUP107, MCM5, MCM3, MSH2, BRCA2, NUP85, SSB, ITGB3BP, DMC1, INCENP, THOC3, XPO1, APEX1, XRCC5, KIF22, DCLRE1A, SEH1L, XRCC3, NSMCE2, RAD21. -
A Combined Algorithm for Genome- Wide Prediction of Protein Function
letters to nature cluster for the synthesis of a class of cell wall lipids unique to pathogenic mycobacteria. J. Biol. Chem. tionally related yeast proteins. Links between characterized and 272, 16741±16745 (1997). uncharacterized proteins allow a general function to be assigned 9. Mathur, M. & Kolattukudy, P. E. Molecular cloning and sequencing of the gene for mycocerosic acid synthase, a novel fatty acid elongating multifunctional enzyme, from Mycobacterium tuberculosis var. to more than half of the 2,557 previously uncharacterized yeast bovis Bacillus Calmette-Guerin. J. Biol. Chem. 267, 19388±19395 (1992). proteins. Examples of functional links are given for a protein 10. Azad, A. K., Sirakova, T. D., Rogers, L. M. & Kolattukudy, P. E. Targeted replacement of the family of previously unknown function, a protein whose human mycocerosic acid synthase gene in Mycobacterium bovis BCG produces a mutant that lacks mycosides. homologues are implicated in colon cancer and the yeast prion Proc. Natl Acad. Sci. USA 93, 4787±4792 (1996). 11. Cole, S. T. et al. Deciphering the biology of Mycobactrium tuberculosis from the complete genome Sup35. sequence [see comments]. Nature 393, 537±544 (1998). The historical method of ®nding the function of a protein 12. Fitzmaurice, A. M. & Kolattukudy, P. E. An acyl-CoA synthase (acoas) gene adjacent to the involves extensive genetic and biochemical analyses, unless the mycocerosic acid synthase (mas) locus is necessary for mycocerosyl lipid synthesis in Mycobacterium tuberculosis var. bovis. BCG. J. Biol. Chem. 273, 8033±8039 (1998). amino-acid sequence of the protein resembles another whose 13. Fitzmaurice, A. M. & Kolattukudy, P. E. -
MRPL10 Mouse Monoclonal Antibody [Clone ID: OTI2B4] Product Data
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 TA808643 MRPL10 Mouse Monoclonal Antibody [Clone ID: OTI2B4] Product data: Product Type: Primary Antibodies Clone Name: OTI2B4 Applications: IHC, WB Recommended Dilution: WB 1:2000, IHC 1:150 Reactivity: Human Host: Mouse Isotype: IgG2b Clonality: Monoclonal Immunogen: Full length human recombinant protein of human MRPL10(NP_660298) produced in E.coli. Formulation: PBS (PH 7.3) containing 1% BSA, 50% glycerol and 0.02% sodium azide. Concentration: 1 mg/ml Purification: Purified from mouse ascites fluids or tissue culture supernatant by affinity chromatography (protein A/G) Conjugation: Unconjugated Storage: Store at -20°C as received. Stability: Stable for 12 months from date of receipt. Predicted Protein Size: 26.3 kDa Gene Name: mitochondrial ribosomal protein L10 Database Link: NP_660298 Entrez Gene 124995 Human Q7Z7H8 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 / 5 MRPL10 Mouse Monoclonal Antibody [Clone ID: OTI2B4] – TA808643 Background: Mammalian mitochondrial ribosomal proteins are encoded by nuclear genes and help in protein synthesis within the mitochondrion. Mitochondrial ribosomes (mitoribosomes) consist of a small 28S subunit and a large 39S subunit. They have an estimated 75% protein to rRNA composition compared to prokaryotic ribosomes, where this ratio is reversed. Another difference between mammalian mitoribosomes and prokaryotic ribosomes is that the latter contain a 5S rRNA.