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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. -
Overexpression of Salicylic Acid Carboxyl Methyltransferase (Cssamt1) Enhances Tolerance to Huanglongbing Disease in Wanjincheng Orange (Citrus Sinensis (L.) Osbeck)
International Journal of Molecular Sciences Article Overexpression of Salicylic Acid Carboxyl Methyltransferase (CsSAMT1) Enhances Tolerance to Huanglongbing Disease in Wanjincheng Orange (Citrus sinensis (L.) Osbeck) Xiuping Zou * , Ke Zhao, Yunuo Liu, Meixia Du, Lin Zheng, Shuai Wang, Lanzhen Xu, Aihong Peng, Yongrui He, Qin Long and Shanchun Chen * Citrus Research Institute, Southwest University/Chinese Academy of Agricultural Sciences, Chongqing 400716, China; [email protected] (K.Z.); [email protected] (Y.L.); [email protected] (M.D.); [email protected] (L.Z.); [email protected] (S.W.); [email protected] (L.X.); [email protected] (A.P.); [email protected] (Y.H.); [email protected] (Q.L.) * Correspondence: [email protected] (X.Z.); [email protected] (S.C.) Abstract: Citrus Huanglongbing (HLB) disease or citrus greening is caused by Candidatus Liberibacter asiaticus (Las) and is the most devastating disease in the global citrus industry. Salicylic acid (SA) plays a central role in regulating plant defenses against pathogenic attack. SA methyltransferase (SAMT) modulates SA homeostasis by converting SA to methyl salicylate (MeSA). Here, we report on the functions of the citrus SAMT (CsSAMT1) gene from HLB-susceptible Wanjincheng orange Citation: Zou, X.; Zhao, K.; Liu, Y.; (Citrus sinensis (L.) Osbeck) in plant defenses against Las infection. The CsSAMT1 cDNA was Du, M.; Zheng, L.; Wang, S.; Xu, L.; expressed in yeast. Using in vitro enzyme assays, yeast expressing CsSAMT1 was confirmed to Peng, A.; He, Y.; Long, Q.; et al. specifically catalyze the formation of MeSA using SA as a substrate. Transgenic Wanjincheng orange Overexpression of Salicylic Acid plants overexpressing CsSAMT1 had significantly increased levels of SA and MeSA compared to Carboxyl Methyltransferase wild-type controls. -
Ankrd9 Is a Metabolically-Controlled Regulator of Impdh2 Abundance and Macro-Assembly
ANKRD9 IS A METABOLICALLY-CONTROLLED REGULATOR OF IMPDH2 ABUNDANCE AND MACRO-ASSEMBLY by Dawn Hayward A dissertation submitted to The Johns Hopkins University in conformity with the requirements of the degree of Doctor of Philosophy Baltimore, Maryland April 2019 ABSTRACT Members of a large family of Ankyrin Repeat Domains proteins (ANKRD) regulate numerous cellular processes by binding and changing properties of specific protein targets. We show that interactions with a target protein and the functional outcomes can be markedly altered by cells’ metabolic state. ANKRD9 facilitates degradation of inosine monophosphate dehydrogenase 2 (IMPDH2), the rate-limiting enzyme in GTP biosynthesis. Under basal conditions ANKRD9 is largely segregated from the cytosolic IMPDH2 by binding to vesicles. Upon nutrient limitation, ANKRD9 loses association with vesicles and assembles with IMPDH2 into rod-like structures, in which IMPDH2 is stable. Inhibition of IMPDH2 with Ribavirin favors ANKRD9 binding to rods. The IMPDH2/ANKRD9 assembly is reversed by guanosine, which restores association of ANKRD9 with vesicles. The conserved Cys109Cys110 motif in ANKRD9 is required for the vesicles-to-rods transition as well as binding and regulation of IMPDH2. ANKRD9 knockdown increases IMPDH2 levels and prevents formation of IMPDH2 rods upon nutrient limitation. Thus, the status of guanosine pools affects the mode of ANKRD9 action towards IMPDH2. Advisor: Dr. Svetlana Lutsenko, Department of Physiology, Johns Hopkins University School of Medicine Second reader: -
Repeat Proteins Challenge the Concept of Structural Domains
844 Biochemical Society Transactions (2015) Volume 43, part 5 Repeat proteins challenge the concept of structural domains Rocıo´ Espada*1, R. Gonzalo Parra*1, Manfred J. Sippl†, Thierry Mora‡, Aleksandra M. Walczak§ and Diego U. Ferreiro*2 *Protein Physiology Lab, Dep de Qu´ımica Biologica, ´ Facultad de Ciencias Exactas y Naturales, UBA-CONICET-IQUIBICEN, Buenos Aires, C1430EGA, Argentina †Center of Applied Molecular Engineering, Division of Bioinformatics, Department of Molecular Biology, University of Salzburg, 5020 Salzburg, Austria ‡Laboratoire de physique statistique, CNRS, UPMC and Ecole normale superieure, ´ 24 rue Lhomond, 75005 Paris, France §Laboratoire de physique theorique, ´ CNRS, UPMC and Ecole normale superieure, ´ 24 rue Lhomond, 75005 Paris, France Abstract Structural domains are believed to be modules within proteins that can fold and function independently. Some proteins show tandem repetitions of apparent modular structure that do not fold independently, but rather co-operate in stabilizing structural forms that comprise several repeat-units. For many natural repeat-proteins, it has been shown that weak energetic links between repeats lead to the breakdown of co-operativity and the appearance of folding sub-domains within an apparently regular repeat array. The quasi-1D architecture of repeat-proteins is crucial in detailing how the local energetic balances can modulate the folding dynamics of these proteins, which can be related to the physiological behaviour of these ubiquitous biological systems. Introduction and between repeats, challenging the concept of structural It was early on noted that many natural proteins typically domain. collapse stretches of amino acid chains into compact units, defining structural domains [1]. These domains typically correlate with biological activities and many modern proteins can be described as composed by novel ‘domain arrange- Definition of the repeat-units ments’ [2]. -
A Structural Guide to Proteins of the NF-Kb Signaling Module
Downloaded from http://cshperspectives.cshlp.org/ on September 26, 2021 - Published by Cold Spring Harbor Laboratory Press A Structural Guide to Proteins of the NF-kB Signaling Module Tom Huxford1 and Gourisankar Ghosh2 1Department of Chemistry and Biochemistry, San Diego State University, 5500 Campanile Drive, San Diego, California 92182-1030 2Department of Chemistry and Biochemistry, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093-0375 Correspondence: [email protected] The prosurvival transcription factor NF-kB specifically binds promoter DNA to activate target gene expression. NF-kB is regulated through interactions with IkB inhibitor proteins. Active proteolysis of these IkB proteins is, in turn, under the control of the IkB kinase complex (IKK). Together, these three molecules form the NF-kB signaling module. Studies aimed at charac- terizing the molecular mechanisms of NF-kB, IkB, and IKK in terms of their three-dimen- sional structures have lead to a greater understanding of this vital transcription factor system. F-kB is a master transcription factor that from the perspective of their three-dimensional Nresponds to diverse cell stimuli by activat- structures. ing the expression of stress response genes. Multiple signals, including cytokines, growth factors, engagement of the T-cell receptor, and NF-kB bacterial and viral products, induce NF-kB Introduction to NF-kB transcriptional activity (Hayden and Ghosh 2008). A point of convergence for the myriad NF-kB was discovered in the laboratory of of NF-kB inducing signals is the IkB kinase David Baltimore as a nuclear activity with bind- complex (IKK). Active IKK in turn controls ing specificity toward a ten-base-pair DNA transcription factor NF-kB by regulating pro- sequence 50-GGGACTTTCC-30 present within teolysis of the IkB inhibitor protein (Fig. -
Loss of Fam60a, a Sin3a Subunit, Results in Embryonic Lethality and Is Associated with Aberrant Methylation at a Subset of Gene
RESEARCH ARTICLE Loss of Fam60a, a Sin3a subunit, results in embryonic lethality and is associated with aberrant methylation at a subset of gene promoters Ryo Nabeshima1,2, Osamu Nishimura3,4, Takako Maeda1, Natsumi Shimizu2, Takahiro Ide2, Kenta Yashiro1†, Yasuo Sakai1, Chikara Meno1, Mitsutaka Kadota3,4, Hidetaka Shiratori1†, Shigehiro Kuraku3,4*, Hiroshi Hamada1,2* 1Developmental Genetics Group, Graduate School of Frontier Biosciences, Osaka University, Suita, Japan; 2Laboratory for Organismal Patterning, RIKEN Center for Developmental Biology, Kobe, Japan; 3Phyloinformatics Unit, RIKEN Center for Life Science Technologies, Kobe, Japan; 4Laboratory for Phyloinformatics, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan Abstract We have examined the role of Fam60a, a gene highly expressed in embryonic stem cells, in mouse development. Fam60a interacts with components of the Sin3a-Hdac transcriptional corepressor complex, and most Fam60a–/– embryos manifest hypoplasia of visceral organs and die in utero. Fam60a is recruited to the promoter regions of a subset of genes, with the expression of these genes being either up- or down-regulated in Fam60a–/– embryos. The DNA methylation level of the Fam60a target gene Adhfe1 is maintained at embryonic day (E) 7.5 but markedly reduced at –/– *For correspondence: E9.5 in Fam60a embryos, suggesting that DNA demethylation is enhanced in the mutant. [email protected] (SK); Examination of genome-wide DNA methylation identified several differentially methylated regions, [email protected] (HH) which were preferentially hypomethylated, in Fam60a–/– embryos. Our data suggest that Fam60a is †These authors contributed required for proper embryogenesis, at least in part as a result of its regulation of DNA methylation equally to this work at specific gene promoters. -
Supp. Table S2: Domains and Protein Families with a Putative Role in Host-Symbiont Interactions
Supp. Table S2: Domains and protein families with a putative role in host-symbiont interactions. The domains and protein families listed here were included in the comparisons in Figure 5 and Supp. Figure S5, which show the percentage of the respective protein groups in the Riftia symbiont metagenome and in metagenomes of other symbiotic and free-living organisms. % bacterial, total number bacterial: Percentage and total number of bacterial species in which this domain is found in the SMART database (January 2019). Domain name Pfam/SMART % bacterial (total Literature/comment annotation number bacterial) Alpha-2- alpha-2- A2M: 42.05% (2057) A2Ms: protease inhibitors which are important for eukaryotic macroglobulin macroglobulin innate immunity, if present in prokaryotes apparently fulfill a family (A2M), similar role, e.g. protection against host proteases (1) including N- terminal MG1 domain ANAPC Anaphase- APC2: 0 Ubiquitin ligase, important for cell cycle control in eukaryotes (2) promoting complex Bacterial proteins might interact with ubiquitination pathways in subunits the host (3) Ankyrin Ankyrin repeats 10.88% (8348) Mediate protein-protein interactions without sequence specificity (4) Sponge symbiont ankyrin-repeat proteins inhibit amoebal phagocytosis (5) Present in sponge microbiome metatranscriptomes, putative role in symbiont-host interactions (6) Present in obligate intracellular amoeba symbiont Candidatus Amoebophilus asiaticus genome, probable function in interactions with the host (7) Armadillo Armadillo repeats 0.83% (67) -
(BPA) Exposure Biomarkers in Ovarian Cancer
Journal of Clinical Medicine Article Identification of Potential Bisphenol A (BPA) Exposure Biomarkers in Ovarian Cancer Aeman Zahra 1, Qiduo Dong 1, Marcia Hall 1,2 , Jeyarooban Jeyaneethi 1, Elisabete Silva 1, Emmanouil Karteris 1,* and Cristina Sisu 1,* 1 Biosciences, College of Health, Medicine and Life Sciences, Brunel University London, Uxbridge UB8 3PH, UK; [email protected] (A.Z.); [email protected] (Q.D.); [email protected] (M.H.); [email protected] (J.J.); [email protected] (E.S.) 2 Mount Vernon Cancer Centre, Northwood HA6 2RN, UK * Correspondence: [email protected] (E.K.); [email protected] (C.S.) Abstract: Endocrine-disrupting chemicals (EDCs) can exert multiple deleterious effects and have been implicated in carcinogenesis. The xenoestrogen Bisphenol A (BPA) that is found in various consumer products has been involved in the dysregulation of numerous signalling pathways. In this paper, we present the analysis of a set of 94 genes that have been shown to be dysregulated in presence of BPA in ovarian cancer cell lines since we hypothesised that these genes might be of biomarker potential. This study sought to identify biomarkers of disease and biomarkers of disease- associated exposure. In silico analyses took place using gene expression data extracted from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) databases. Differential expression was further validated at protein level using immunohistochemistry on an ovarian cancer tissue microarray. We found that 14 out of 94 genes are solely dysregulated in the presence of BPA, while the remaining 80 genes are already dysregulated (p-value < 0.05) in their expression pattern Citation: Zahra, A.; Dong, Q.; Hall, as a consequence of the disease. -
Table S1| Differential Expression Analysis of the Atopy Transcriptome
Table S1| Differential expression analysis of the atopy transcriptome in CD4+ T-cell responses to allergens in atopic and nonatopic subjects Probe ID S.test Gene Symbol Gene Description Chromosome Statistic Location 7994280 10.32 IL4R Interleukin 4 receptor 16p11.2-12.1 8143383 8.95 --- --- --- 7974689 8.50 DACT1 Dapper, antagonist of beta-catenin, homolog 1 14q23.1 8102415 7.59 CAMK2D Calcium/calmodulin-dependent protein kinase II delta 4q26 7950743 7.58 RAB30 RAB30, member RAS oncogene family 11q12-q14 8136580 7.54 RAB19B GTP-binding protein RAB19B 7q34 8043504 7.45 MAL Mal, T-cell differentiation protein 2cen-q13 8087739 7.27 CISH Cytokine inducible SH2-containing protein 3p21.3 8000413 7.17 NSMCE1 Non-SMC element 1 homolog (S. cerevisiae) 16p12.1 8021301 7.15 RAB27B RAB27B, member RAS oncogene family 18q21.2 8143367 6.83 SLC37A3 Solute carrier family 37 member 3 7q34 8152976 6.65 TMEM71 Transmembrane protein 71 8q24.22 7931914 6.56 IL2R Interleukin 2 receptor, alpha 10p15-p14 8014768 6.43 PLXDC1 Plexin domain containing 1 17q21.1 8056222 6.43 DPP4 Dipeptidyl-peptidase 4 (CD26) 2q24.3 7917697 6.40 GFI1 Growth factor independent 1 1p22 7903507 6.39 FAM102B Family with sequence similarity 102, member B 1p13.3 7968236 5.96 RASL11A RAS-like, family 11, member A --- 7912537 5.95 DHRS3 Dehydrogenase/reductase (SDR family) member 3 1p36.1 7963491 5.83 KRT1 Keratin 1 (epidermolytic hyperkeratosis) 12q12-q13 7903786 5.72 CSF1 Colony stimulating factor 1 (macrophage) 1p21-p13 8019061 5.67 SGSH N-sulfoglucosamine sulfohydrolase (sulfamidase) 17q25.3 -
Downloaded the “Top Edge” Version
bioRxiv preprint doi: https://doi.org/10.1101/855338; this version posted December 6, 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 4.0 International license. 1 Drosophila models of pathogenic copy-number variant genes show global and 2 non-neuronal defects during development 3 Short title: Non-neuronal defects of fly homologs of CNV genes 4 Tanzeen Yusuff1,4, Matthew Jensen1,4, Sneha Yennawar1,4, Lucilla Pizzo1, Siddharth 5 Karthikeyan1, Dagny J. Gould1, Avik Sarker1, Yurika Matsui1,2, Janani Iyer1, Zhi-Chun Lai1,2, 6 and Santhosh Girirajan1,3* 7 8 1. Department of Biochemistry and Molecular Biology, Pennsylvania State University, 9 University Park, PA 16802 10 2. Department of Biology, Pennsylvania State University, University Park, PA 16802 11 3. Department of Anthropology, Pennsylvania State University, University Park, PA 16802 12 4 contributed equally to work 13 14 *Correspondence: 15 Santhosh Girirajan, MBBS, PhD 16 205A Life Sciences Building 17 Pennsylvania State University 18 University Park, PA 16802 19 E-mail: [email protected] 20 Phone: 814-865-0674 21 1 bioRxiv preprint doi: https://doi.org/10.1101/855338; this version posted December 6, 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 4.0 International license. 22 ABSTRACT 23 While rare pathogenic copy-number variants (CNVs) are associated with both neuronal and non- 24 neuronal phenotypes, functional studies evaluating these regions have focused on the molecular 25 basis of neuronal defects. -
Appendix 2. Significantly Differentially Regulated Genes in Term Compared with Second Trimester Amniotic Fluid Supernatant
Appendix 2. Significantly Differentially Regulated Genes in Term Compared With Second Trimester Amniotic Fluid Supernatant Fold Change in term vs second trimester Amniotic Affymetrix Duplicate Fluid Probe ID probes Symbol Entrez Gene Name 1019.9 217059_at D MUC7 mucin 7, secreted 424.5 211735_x_at D SFTPC surfactant protein C 416.2 206835_at STATH statherin 363.4 214387_x_at D SFTPC surfactant protein C 295.5 205982_x_at D SFTPC surfactant protein C 288.7 1553454_at RPTN repetin solute carrier family 34 (sodium 251.3 204124_at SLC34A2 phosphate), member 2 238.9 206786_at HTN3 histatin 3 161.5 220191_at GKN1 gastrokine 1 152.7 223678_s_at D SFTPA2 surfactant protein A2 130.9 207430_s_at D MSMB microseminoprotein, beta- 99.0 214199_at SFTPD surfactant protein D major histocompatibility complex, class II, 96.5 210982_s_at D HLA-DRA DR alpha 96.5 221133_s_at D CLDN18 claudin 18 94.4 238222_at GKN2 gastrokine 2 93.7 1557961_s_at D LOC100127983 uncharacterized LOC100127983 93.1 229584_at LRRK2 leucine-rich repeat kinase 2 HOXD cluster antisense RNA 1 (non- 88.6 242042_s_at D HOXD-AS1 protein coding) 86.0 205569_at LAMP3 lysosomal-associated membrane protein 3 85.4 232698_at BPIFB2 BPI fold containing family B, member 2 84.4 205979_at SCGB2A1 secretoglobin, family 2A, member 1 84.3 230469_at RTKN2 rhotekin 2 82.2 204130_at HSD11B2 hydroxysteroid (11-beta) dehydrogenase 2 81.9 222242_s_at KLK5 kallikrein-related peptidase 5 77.0 237281_at AKAP14 A kinase (PRKA) anchor protein 14 76.7 1553602_at MUCL1 mucin-like 1 76.3 216359_at D MUC7 mucin 7, -
Role and Regulation of the P53-Homolog P73 in the Transformation of Normal Human Fibroblasts
Role and regulation of the p53-homolog p73 in the transformation of normal human fibroblasts Dissertation zur Erlangung des naturwissenschaftlichen Doktorgrades der Bayerischen Julius-Maximilians-Universität Würzburg vorgelegt von Lars Hofmann aus Aschaffenburg Würzburg 2007 Eingereicht am Mitglieder der Promotionskommission: Vorsitzender: Prof. Dr. Dr. Martin J. Müller Gutachter: Prof. Dr. Michael P. Schön Gutachter : Prof. Dr. Georg Krohne Tag des Promotionskolloquiums: Doktorurkunde ausgehändigt am Erklärung Hiermit erkläre ich, dass ich die vorliegende Arbeit selbständig angefertigt und keine anderen als die angegebenen Hilfsmittel und Quellen verwendet habe. Diese Arbeit wurde weder in gleicher noch in ähnlicher Form in einem anderen Prüfungsverfahren vorgelegt. Ich habe früher, außer den mit dem Zulassungsgesuch urkundlichen Graden, keine weiteren akademischen Grade erworben und zu erwerben gesucht. Würzburg, Lars Hofmann Content SUMMARY ................................................................................................................ IV ZUSAMMENFASSUNG ............................................................................................. V 1. INTRODUCTION ................................................................................................. 1 1.1. Molecular basics of cancer .......................................................................................... 1 1.2. Early research on tumorigenesis ................................................................................. 3 1.3. Developing