DNA Methylation of Developmental Genes in Pediatric Medulloblastomas Identified by Denaturation Analysis of Methylation Differences
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A Transcriptional Signature of Postmitotic Maintenance in Neural Tissues
Neurobiology of Aging 74 (2019) 147e160 Contents lists available at ScienceDirect Neurobiology of Aging journal homepage: www.elsevier.com/locate/neuaging Postmitotic cell longevityeassociated genes: a transcriptional signature of postmitotic maintenance in neural tissues Atahualpa Castillo-Morales a,b, Jimena Monzón-Sandoval a,b, Araxi O. Urrutia b,c,*, Humberto Gutiérrez a,** a School of Life Sciences, University of Lincoln, Lincoln, UK b Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, UK c Instituto de Ecología, Universidad Nacional Autónoma de México, Ciudad de México, Mexico article info abstract Article history: Different cell types have different postmitotic maintenance requirements. Nerve cells, however, are Received 11 April 2018 unique in this respect as they need to survive and preserve their functional complexity for the entire Received in revised form 3 October 2018 lifetime of the organism, and failure at any level of their supporting mechanisms leads to a wide range of Accepted 11 October 2018 neurodegenerative conditions. Whether these differences across tissues arise from the activation of Available online 19 October 2018 distinct cell typeespecific maintenance mechanisms or the differential activation of a common molecular repertoire is not known. To identify the transcriptional signature of postmitotic cellular longevity (PMCL), Keywords: we compared whole-genome transcriptome data from human tissues ranging in longevity from 120 days Neural maintenance Cell longevity to over 70 years and found a set of 81 genes whose expression levels are closely associated with Transcriptional signature increased cell longevity. Using expression data from 10 independent sources, we found that these genes Functional genomics are more highly coexpressed in longer-living tissues and are enriched in specific biological processes and transcription factor targets compared with randomly selected gene samples. -
HHS Public Access Author Manuscript
HHS Public Access Author manuscript Author Manuscript Author ManuscriptJAMA Psychiatry Author Manuscript. Author Author Manuscript manuscript; available in PMC 2015 August 03. Published in final edited form as: JAMA Psychiatry. 2014 June ; 71(6): 657–664. doi:10.1001/jamapsychiatry.2014.176. Identification of Pathways for Bipolar Disorder A Meta-analysis John I. Nurnberger Jr, MD, PhD, Daniel L. Koller, PhD, Jeesun Jung, PhD, Howard J. Edenberg, PhD, Tatiana Foroud, PhD, Ilaria Guella, PhD, Marquis P. Vawter, PhD, and John R. Kelsoe, MD for the Psychiatric Genomics Consortium Bipolar Group Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis (Nurnberger, Koller, Edenberg, Foroud); Institute of Psychiatric Research, Department of Psychiatry, Indiana University School of Medicine, Indianapolis (Nurnberger, Foroud); Laboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism Intramural Research Program, Bethesda, Maryland (Jung); Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis (Edenberg); Functional Genomics Laboratory, Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine (Guella, Vawter); Department of Psychiatry, School of Medicine, Corresponding Author: John I. Nurnberger Jr, MD, PhD, Institute of Psychiatric Research, Department of Psychiatry, Indiana University School of Medicine, 791 Union Dr, Indianapolis, IN 46202 ([email protected]). Author Contributions: Drs Koller and Vawter had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: Nurnberger, Koller, Edenberg, Vawter. Acquisition, analysis, or interpretation of data: All authors. Drafting of the manuscript: Nurnberger, Koller, Jung, Vawter. -
Prediction of Human Disease Genes by Human-Mouse Conserved Coexpression Analysis
Prediction of Human Disease Genes by Human-Mouse Conserved Coexpression Analysis Ugo Ala1., Rosario Michael Piro1., Elena Grassi1, Christian Damasco1, Lorenzo Silengo1, Martin Oti2, Paolo Provero1*, Ferdinando Di Cunto1* 1 Molecular Biotechnology Center, Department of Genetics, Biology and Biochemistry, University of Turin, Turin, Italy, 2 Department of Human Genetics and Centre for Molecular and Biomolecular Informatics, University Medical Centre Nijmegen, Nijmegen, The Netherlands Abstract Background: Even in the post-genomic era, the identification of candidate genes within loci associated with human genetic diseases is a very demanding task, because the critical region may typically contain hundreds of positional candidates. Since genes implicated in similar phenotypes tend to share very similar expression profiles, high throughput gene expression data may represent a very important resource to identify the best candidates for sequencing. However, so far, gene coexpression has not been used very successfully to prioritize positional candidates. Methodology/Principal Findings: We show that it is possible to reliably identify disease-relevant relationships among genes from massive microarray datasets by concentrating only on genes sharing similar expression profiles in both human and mouse. Moreover, we show systematically that the integration of human-mouse conserved coexpression with a phenotype similarity map allows the efficient identification of disease genes in large genomic regions. Finally, using this approach on 850 OMIM loci characterized by an unknown molecular basis, we propose high-probability candidates for 81 genetic diseases. Conclusion: Our results demonstrate that conserved coexpression, even at the human-mouse phylogenetic distance, represents a very strong criterion to predict disease-relevant relationships among human genes. Citation: Ala U, Piro RM, Grassi E, Damasco C, Silengo L, et al. -
Platform-Independent Gene Expression Signature Differentiates
Rahmatallah et al. BMC Medical Genomics (2017) 10:81 DOI 10.1186/s12920-017-0317-7 RESEARCH ARTICLE Open Access Platform-independent gene expression signature differentiates sessile serrated adenomas/polyps and hyperplastic polyps of the colon Yasir Rahmatallah1, Magomed Khaidakov2,3, Keith K. Lai5, Hannah E. Goyne4, Laura W. Lamps4, Curt H. Hagedorn2,3 and Galina Glazko1* Abstract Background: Sessile serrated adenomas/polyps are distinguished from hyperplastic colonic polyps subjectively by their endoscopic appearance and histological morphology. However, hyperplastic and sessile serrated polyps can have overlapping morphological features resulting in sessile serrated polyps diagnosed as hyperplastic. While sessile serrated polyps can progress into colon cancer, hyperplastic polyps have virtually no risk for colon cancer. Objective measures, differentiating these types of polyps would improve cancer prevention and treatment outcome. Methods: RNA-seq training data set and Affimetrix, Illumina testing data sets were obtained from Gene Expression Omnibus (GEO). RNA-seq single-end reads were filtered with FastX toolkit. Read mapping to the human genome, gene abundance estimation, and differential expression analysis were performed with Tophat-Cufflinks pipeline. Background correction, normalization, and probe summarization steps for Affimetrix arrays were performed using the robust multi-array method (RMA). For Illumina arrays, log2-scale expression data was obtained from GEO. Pathway analysis was implemented using Bioconductor package GSAR. To build a platform-independent molecular classifier that accurately differentiates sessile serrated and hyperplastic polyps we developed a new feature selection step. We also developed a simple procedure to classify new samples as either sessile serrated or hyperplastic with a class probability assigned to the decision, estimated using Cantelli’s inequality. -
Transcriptomic Causal Networks Identified Patterns of Differential Gene Regulation in Human Brain from Schizophrenia Cases Versus Controls
Transcriptomic Causal Networks identified patterns of differential gene regulation in human brain from Schizophrenia cases versus controls Akram Yazdani1, Raul Mendez-Giraldez2, Michael R Kosorok3, Panos Roussos1,4,5 1Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA 2Lineberger Comprehensive Cancer Center, School of Medicine, University of North Carolina at Chapel Hill, NC, USA 3Department of Biostatistics, University of North Carolina at Chapel Hill, NC, USA 4Department of Psychiatry and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA 5Mental Illness Research Education and Clinical Center (MIRECC), James J. Peters VA Medical Center, Bronx, New York, 10468, USA Abstract Common and complex traits are the consequence of the interaction and regulation of multiple genes simultaneously, which work in a coordinated way. However, the vast majority of studies focus on the differential expression of one individual gene at a time. Here, we aim to provide insight into the underlying relationships of the genes expressed in the human brain in cases with schizophrenia (SCZ) and controls. We introduced a novel approach to identify differential gene regulatory patterns and identify a set of essential genes in the brain tissue. Our method integrates genetic, transcriptomic, and Hi-C data and generates a transcriptomic-causal network. Employing this approach for analysis of RNA-seq data from CommonMind Consortium, we identified differential regulatory patterns for SCZ cases and control groups to unveil the mechanisms that control the transcription of the genes in the human brain. Our analysis identified modules with a high number of SCZ-associated genes as well as assessing the relationship of the hubs with their down-stream genes in both, cases and controls. -
Setd1 Histone 3 Lysine 4 Methyltransferase Complex Components in Epigenetic Regulation
SETD1 HISTONE 3 LYSINE 4 METHYLTRANSFERASE COMPLEX COMPONENTS IN EPIGENETIC REGULATION Patricia A. Pick-Franke Submitted to the faculty of the University Graduate School in partial fulfillment of the requirements for the degree Master of Science in the Department of Biochemistry and Molecular Biology Indiana University December 2010 Accepted by the Faculty of Indiana University, in partial fulfillment of the requirements for the degree of Master of Science. _____________________________________ David Skalnik, Ph.D., Chair _____________________________________ Kristin Chun, Ph.D. Master’s Thesis Committee _____________________________________ Simon Rhodes, Ph.D. ii DEDICATION This thesis is dedicated to my sons, Zachary and Zephaniah who give me great joy, hope and continuous inspiration. I can only hope that I successfully set a good example demonstrating that one can truly accomplish anything, if you never give up and reach for your dreams. iii ACKNOWLEDGEMENTS I would like to thank my committee members Dr. Skalnik, Dr. Chun and Dr. Rhodes for allowing me to complete this dissertation. They have been incredibly generous with their flexibility. I must make a special thank you to Jeanette McClintock, who willingly gave her expertise in statistical analysis with the Cfp1 microarray data along with encouragement, support and guidance to complete this work. I would like to thank Courtney Tate for her ceaseless willingness to share ideas, and her methods and materials, and Erika Dolbrota for her generous instruction as well as the name of a good doctor. I would also like to acknowledge the superb mentorship of Dr. Jeon Heong Lee, PhD and the contagious passion and excitement for the life of science of Dr. -
Associations Between Human Disease Genes and Overlapping Gene Groups and Multiple Amino Acid Runs
Associations between human disease genes and overlapping gene groups and multiple amino acid runs Samuel Karlin*†, Chingfer Chen*, Andrew J. Gentles*, and Michael Cleary‡ Departments of *Mathematics and ‡Pathology, Stanford University, Stanford, CA 94305 Contributed by Samuel Karlin, October 30, 2002 Overlapping gene groups (OGGs) arise when exons of one gene are Chr 22. Such rearrangements may be mediated by recombination contained within the introns of another. Typically, the two over- events based on region-specific low copy repeats. The DGS lapping genes are encoded on opposite DNA strands. OGGs are region of 22q11.2 is particularly rich with segmental duplications, often associated with specific disease phenotypes. In this report, which can induce deletions, translocations, and genomic insta- we identify genes with OGG architecture and genes encoding bility (4). There are several anomalous sequence features asso- multiple long amino acid runs and examine their relations to ciated with OGGs, including Alu sequences intersecting exons, diseases. OGGs appear to be susceptible to genomic rearrange- pseudogenes occupying introns, and single-exon (intronless) ments as happens commonly with the loci of the DiGeorge syn- genes that often result from a processed multiexon gene. drome on human chromosome 22. We also examine the degree of At least 28 genes in Chr 21 are related to diseases, as conservation of OGGs between human and mouse. Our analyses characterized in the GeneCards database (5), as are 64 genes in suggest that (i) a high proportion of genes in OGG regions are Chr 22. Specific disorders that have been mapped to genes on disease-associated, (ii) genomic rearrangements are likely to occur Chr 21 and that involve OGG structures include: amyotrophic within OGGs, possibly as a consequence of anomalous sequence lateral sclerosis (ALS, Lou Gehrig’s disease), linked to the features prevalent in these regions, and (iii) multiple amino acid GRIK1 ionotrophic kainate 1 glutamate receptor gene at 21q22 runs are also frequently associated with pathologies. -
Downloaded from Ensembl
UCSF UC San Francisco Electronic Theses and Dissertations Title Detecting genetic similarity between complex human traits by exploring their common molecular mechanism Permalink https://escholarship.org/uc/item/1k40s443 Author Gu, Jialiang Publication Date 2019 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California by Submitted in partial satisfaction of the requirements for degree of in in the GRADUATE DIVISION of the UNIVERSITY OF CALIFORNIA, SAN FRANCISCO AND UNIVERSITY OF CALIFORNIA, BERKELEY Approved: ______________________________________________________________________________ Chair ______________________________________________________________________________ ______________________________________________________________________________ ______________________________________________________________________________ ______________________________________________________________________________ Committee Members ii Acknowledgement This project would not have been possible without Prof. Dr. Hao Li, Dr. Jiashun Zheng and Dr. Chris Fuller at the University of California, San Francisco (UCSF) and Caribou Bioscience. The Li lab grew into a multi-facet research group consist of both experimentalists and computational biologists covering three research areas including cellular/molecular mechanism of ageing, genetic determinants of complex human traits and structure, function, evolution of gene regulatory network. Labs like these are the pillar of global success and reputation -
Peripheral Nerve Single-Cell Analysis Identifies Mesenchymal Ligands That Promote Axonal Growth
Research Article: New Research Development Peripheral Nerve Single-Cell Analysis Identifies Mesenchymal Ligands that Promote Axonal Growth Jeremy S. Toma,1 Konstantina Karamboulas,1,ª Matthew J. Carr,1,2,ª Adelaida Kolaj,1,3 Scott A. Yuzwa,1 Neemat Mahmud,1,3 Mekayla A. Storer,1 David R. Kaplan,1,2,4 and Freda D. Miller1,2,3,4 https://doi.org/10.1523/ENEURO.0066-20.2020 1Program in Neurosciences and Mental Health, Hospital for Sick Children, 555 University Avenue, Toronto, Ontario M5G 1X8, Canada, 2Institute of Medical Sciences University of Toronto, Toronto, Ontario M5G 1A8, Canada, 3Department of Physiology, University of Toronto, Toronto, Ontario M5G 1A8, Canada, and 4Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5G 1A8, Canada Abstract Peripheral nerves provide a supportive growth environment for developing and regenerating axons and are es- sential for maintenance and repair of many non-neural tissues. This capacity has largely been ascribed to paracrine factors secreted by nerve-resident Schwann cells. Here, we used single-cell transcriptional profiling to identify ligands made by different injured rodent nerve cell types and have combined this with cell-surface mass spectrometry to computationally model potential paracrine interactions with peripheral neurons. These analyses show that peripheral nerves make many ligands predicted to act on peripheral and CNS neurons, in- cluding known and previously uncharacterized ligands. While Schwann cells are an important ligand source within injured nerves, more than half of the predicted ligands are made by nerve-resident mesenchymal cells, including the endoneurial cells most closely associated with peripheral axons. At least three of these mesen- chymal ligands, ANGPT1, CCL11, and VEGFC, promote growth when locally applied on sympathetic axons. -
Identification of Novel Regulatory Genes in Acetaminophen
IDENTIFICATION OF NOVEL REGULATORY GENES IN ACETAMINOPHEN INDUCED HEPATOCYTE TOXICITY BY A GENOME-WIDE CRISPR/CAS9 SCREEN A THESIS IN Cell Biology and Biophysics and Bioinformatics Presented to the Faculty of the University of Missouri-Kansas City in partial fulfillment of the requirements for the degree DOCTOR OF PHILOSOPHY By KATHERINE ANNE SHORTT B.S, Indiana University, Bloomington, 2011 M.S, University of Missouri, Kansas City, 2014 Kansas City, Missouri 2018 © 2018 Katherine Shortt All Rights Reserved IDENTIFICATION OF NOVEL REGULATORY GENES IN ACETAMINOPHEN INDUCED HEPATOCYTE TOXICITY BY A GENOME-WIDE CRISPR/CAS9 SCREEN Katherine Anne Shortt, Candidate for the Doctor of Philosophy degree, University of Missouri-Kansas City, 2018 ABSTRACT Acetaminophen (APAP) is a commonly used analgesic responsible for over 56,000 overdose-related emergency room visits annually. A long asymptomatic period and limited treatment options result in a high rate of liver failure, generally resulting in either organ transplant or mortality. The underlying molecular mechanisms of injury are not well understood and effective therapy is limited. Identification of previously unknown genetic risk factors would provide new mechanistic insights and new therapeutic targets for APAP induced hepatocyte toxicity or liver injury. This study used a genome-wide CRISPR/Cas9 screen to evaluate genes that are protective against or cause susceptibility to APAP-induced liver injury. HuH7 human hepatocellular carcinoma cells containing CRISPR/Cas9 gene knockouts were treated with 15mM APAP for 30 minutes to 4 days. A gene expression profile was developed based on the 1) top screening hits, 2) overlap with gene expression data of APAP overdosed human patients, and 3) biological interpretation including assessment of known and suspected iii APAP-associated genes and their therapeutic potential, predicted affected biological pathways, and functionally validated candidate genes. -
An Integrative Transcriptome-Wide Analysis of Amyotrophic Lateral Sclerosis for the Identification of Potential Genetic Markers and Drug Candidates
International Journal of Molecular Sciences Article An Integrative Transcriptome-Wide Analysis of Amyotrophic Lateral Sclerosis for the Identification of Potential Genetic Markers and Drug Candidates Sungmin Park 1 , Daeun Kim 2 , Jaeseung Song 2 and Jong Wha J. Joo 1,* 1 Department of Computer Engineering, Dongguk University, Seoul 04620, Korea; [email protected] 2 Department of Life Science, Dongguk University, Seoul 04620, Korea; [email protected] (D.K.); [email protected] (J.S.) * Correspondence: [email protected] Abstract: Amyotrophic lateral sclerosis (ALS) is a neurodegenerative neuromuscular disease. Al- though genome-wide association studies (GWAS) have successfully identified many variants signifi- cantly associated with ALS, it is still difficult to characterize the underlying biological mechanisms inducing ALS. In this study, we performed a transcriptome-wide association study (TWAS) to iden- tify disease-specific genes in ALS. Using the largest ALS GWAS summary statistic (n = 80,610), we identified seven novel genes using 19 tissue reference panels. We conducted a conditional analysis to verify the genes’ independence and to confirm that they are driven by genetically regulated expres- sions. Furthermore, we performed a TWAS-based enrichment analysis to highlight the association of important biological pathways, one in each of the four tissue reference panels. Finally, utilizing a connectivity map, a database of human cell expression profiles cultured with bioactive small Citation: Park, S.; Kim, D.; Song, J.; molecules, we discovered functional associations between genes and drugs to identify 15 bioactive Joo, J.W.J. An Integrative small molecules as potential drug candidates for ALS. We believe that, by integrating the largest ALS Transcriptome-Wide Analysis of GWAS summary statistic with gene expression to identify new risk loci and causal genes, our study Amyotrophic Lateral Sclerosis for the Identification of Potential Genetic provides strong candidates for molecular basis experiments in ALS. -
DNA Methylation of Developmental Genes in Pediatric Medulloblastomas Identified by Denaturation Analysis of Methylation Differences
DNA methylation of developmental genes in pediatric medulloblastomas identified by denaturation analysis of methylation differences Scott J. Diedea,b, Jamie Guenthoerc, Linda N. Gengc, Sarah E. Mahoneyc, Michael Marottad,e, James M. Olsona,b, Hisashi Tanakad,e, and Stephen J. Tapscotta,c,1 Divisions of aClinical Research and cHuman Biology, Fred Hutchinson Cancer Research Center, Seattle, WA 98109; bDepartment of Pediatrics, University of Washington School of Medicine, Seattle, WA 98195; dDepartment of Molecular Genetics, Cleveland Clinic, Cleveland, OH 44195; and eLerner Research Institute, Cleveland Clinic, Cleveland, OH 44195 Edited by Mark T. Groudine, Fred Hutchinson Cancer Research Center, Seattle, WA, and approved November 6, 2009 (received for review July 8, 2009) DNA methylation might have a significant role in preventing normal Results differentiation in pediatric cancers. We used a genomewide method An Assay to Detect Palindrome Formation Enriches for CpG Methylation. for detecting regions of CpG methylation on the basis of the in- Earlier work from our laboratory focused on identifying regions of creased melting temperature of methylated DNA, termed denatu- the genome susceptible to DNA palindrome formation, a rate- ration analysis of methylation differences (DAMD). Using the DAMD limiting step in gene amplification. We previously described a fi fi assay, we nd common regions of cancer-speci c methylation method to obtain a genomewide analysis of palindrome formation changes in primary medulloblastomas in critical developmental reg- (GAPF) on the basis of the efficient intrastrand base pairing in ulatory pathways, including Sonic hedgehog (Shh), Wingless (Wnt), large palindromic sequences (3). Palindromic sequences can rap- retinoic acid receptor (RAR), and bone morphogenetic protein idly anneal intramolecularly to form “snap-back” DNA under (BMP).