Structural and Biochemical Characterization of the Cell Fate
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Old Data and Friends Improve with Age: Advancements with the Updated Tools of Genenetwork
bioRxiv preprint doi: https://doi.org/10.1101/2021.05.24.445383; this version posted May 25, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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. Old data and friends improve with age: Advancements with the updated tools of GeneNetwork Alisha Chunduri1, David G. Ashbrook2 1Department of Biotechnology, Chaitanya Bharathi Institute of Technology, Hyderabad 500075, India 2Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA Abstract Understanding gene-by-environment interactions is important across biology, particularly behaviour. Families of isogenic strains are excellently placed, as the same genome can be tested in multiple environments. The BXD’s recent expansion to 140 strains makes them the largest family of murine isogenic genomes, and therefore give great power to detect QTL. Indefinite reproducible genometypes can be leveraged; old data can be reanalysed with emerging tools to produce novel biological insights. To highlight the importance of reanalyses, we obtained drug- and behavioural-phenotypes from Philip et al. 2010, and reanalysed their data with new genotypes from sequencing, and new models (GEMMA and R/qtl2). We discover QTL on chromosomes 3, 5, 9, 11, and 14, not found in the original study. We narrowed down the candidate genes based on their ability to alter gene expression and/or protein function, using cis-eQTL analysis, and variants predicted to be deleterious. Co-expression analysis (‘gene friends’) and human PheWAS were used to further narrow candidates. -
Association of a Novel Seven-Gene Expression Signature with the Disease Prognosis in Colon Cancer Patients
www.aging-us.com AGING 2019, Vol. 11, No. 19 Research Paper Association of a novel seven-gene expression signature with the disease prognosis in colon cancer patients Haojie Yang1,*, Hua Liu1,*, Hong-Cheng Lin2,*, Dan Gan1, Wei Jin1, Can Cui1, Yixin Yan3, Yiming Qian3, Changpeng Han1, Zhenyi Wang1 1Department of Coloproctology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200437, China 2Department of Coloproctology, The Sixth Affiliated Hospital of Sun Yat-sen University, Gastrointestinal and Anal Hospital of Sun Yat-sen University, Guangzhou 510655, China 3Department of Emergency Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200437, China *Equal contribution Correspondence to: Changpeng Han, Zhenyi Wang; email: [email protected], [email protected] Keywords: colon cancer, gene expression profile, signature, ceRNA Received: July 12, 2019 Accepted: October 7, 2019 Published: October 15, 2019 Copyright: Yang et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Older patients who are diagnosed with colon cancer face unique challenges, specifically regarding to cancer treatment. The aim of this study was to identify prognostic signatures to predicting prognosis in colon cancer patients through a detailed transcriptomic analysis. RNA-seq expression profile, miRNA expression profile, and clinical phenotype information of all the samples of TCGA colon adenocarcinoma were downloaded and differentially expressed mRNAs (DEMs), differentially expressed lncRNAs (DELs) and differentially expressed miRNAs (DEMis) were identified. -
Molecular Effects of Isoflavone Supplementation Human Intervention Studies and Quantitative Models for Risk Assessment
Molecular effects of isoflavone supplementation Human intervention studies and quantitative models for risk assessment Vera van der Velpen Thesis committee Promotors Prof. Dr Pieter van ‘t Veer Professor of Nutritional Epidemiology Wageningen University Prof. Dr Evert G. Schouten Emeritus Professor of Epidemiology and Prevention Wageningen University Co-promotors Dr Anouk Geelen Assistant professor, Division of Human Nutrition Wageningen University Dr Lydia A. Afman Assistant professor, Division of Human Nutrition Wageningen University Other members Prof. Dr Jaap Keijer, Wageningen University Dr Hubert P.J.M. Noteborn, Netherlands Food en Consumer Product Safety Authority Prof. Dr Yvonne T. van der Schouw, UMC Utrecht Dr Wendy L. Hall, King’s College London This research was conducted under the auspices of the Graduate School VLAG (Advanced studies in Food Technology, Agrobiotechnology, Nutrition and Health Sciences). Molecular effects of isoflavone supplementation Human intervention studies and quantitative models for risk assessment Vera van der Velpen Thesis submitted in fulfilment of the requirements for the degree of doctor at Wageningen University by the authority of the Rector Magnificus Prof. Dr M.J. Kropff, in the presence of the Thesis Committee appointed by the Academic Board to be defended in public on Friday 20 June 2014 at 13.30 p.m. in the Aula. Vera van der Velpen Molecular effects of isoflavone supplementation: Human intervention studies and quantitative models for risk assessment 154 pages PhD thesis, Wageningen University, Wageningen, NL (2014) With references, with summaries in Dutch and English ISBN: 978-94-6173-952-0 ABSTRact Background: Risk assessment can potentially be improved by closely linked experiments in the disciplines of epidemiology and toxicology. -
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. -
MAB21L1 Loss of Function Causes a Syndromic Neurodevelopmental Disorder with Distinctive Cerebellar, Ocular, Craniofacial and Ge
Developmental defects J Med Genet: first published as 10.1136/jmedgenet-2018-105623 on 28 November 2018. Downloaded from ORIGINAL ARTICLE MAB21L1 loss of function causes a syndromic neurodevelopmental disorder with distinctive cerebellar, ocular, craniofacial and genital features (COFG syndrome) Abolfazl Rad,1,2 Umut Altunoglu,3 Rebecca Miller,4 Reza Maroofian,5 Kiely N James,6 Ahmet Okay Çağlayan,7,8 Maryam Najafi,1 Valentina Stanley,6 Rose-Mary Boustany,9,10 Gözde Yeşil,11 Afsaneh Sahebzamani,12 Gülhan Ercan-Sencicek,7 Kolsoum Saeidi,13,14 Kaman Wu,1 Peter Bauer,15 Zeineb Bakey,1,16 Joseph G Gleeson,6 Natalie Hauser,4 Murat Gunel,7 Hulya Kayserili,3,17 Miriam Schmidts 1,16 ► Additional material is ABSTRact role in embryonic development but gene expression published online only. To view Background Putative nucleotidyltransferase MAB21L1 extends beyond the developmental period well into please visit the journal online 2 (http:// dx. doi. org/ 10. 1136/ is a member of an evolutionarily well-conserved family adulthood. Molecular explorations in C. elegans, jmedgenet- 2018- 105623). of the male abnormal 21 (MAB21)-like proteins. Little Danio rerio, Xenopus tropicalis and mice indicate a is known about the biochemical function of the protein; crucial role for Mab21 family members in diverse, For numbered affiliations see however, prior studies have shown essential roles for developmentally important cell signalling path- end of article. several aspects of embryonic development including the ways, including TGF-B/BMP, JNK1/MKK4, PAX6. eye, -
Understanding Multicellular Function and Disease with Human Tissue-Specific Networks
ANALYSIS Understanding multicellular function and disease with human tissue-specific networks Casey S Greene1–3,13, Arjun Krishnan4,13, Aaron K Wong5,13, Emanuela Ricciotti6,7, Rene A Zelaya1, Daniel S Himmelstein8, Ran Zhang9, Boris M Hartmann10, Elena Zaslavsky10, Stuart C Sealfon10, Daniel I Chasman11, Garret A FitzGerald6,7, Kara Dolinski4, Tilo Grosser6,7 & Olga G Troyanskaya4,5,12 Tissue and cell-type identity lie at the core of human tissue- and cell lineage–specific processes1–4. These factors combine physiology and disease. Understanding the genetic to make the understanding of tissue-specific gene functions, disease underpinnings of complex tissues and individual cell lineages is pathophysiology and gene-disease associations particularly challeng- crucial for developing improved diagnostics and therapeutics. ing. Projects such as the Encyclopedia of DNA Elements (ENCODE)5 We present genome-wide functional interaction networks for and The Cancer Genome Atlas (TCGA)6 provide comprehensive 144 human tissues and cell types developed using a data-driven genomic profiles for cell lines and cancers, but the challenge of under- Bayesian methodology that integrates thousands of diverse standing human tissues and cell lineages in the multicellular context of experiments spanning tissue and disease states. Tissue-specific a whole organism remains7. Integrative methods that infer functional networks predict lineage-specific responses to perturbation, gene interaction networks can capture the interplay of pathways, but identify the changing functional roles of genes across tissues existing networks lack tissue specificity8. and illuminate relationships among diseases. We introduce Although direct assay of tissue-specific features remains NetWAS, which combines genes with nominally significant infeasible in many normal human tissues, computational methods genome-wide association study (GWAS) P values and tissue- can infer these features from large data compendia. -
Differential DNA Methylation Patterns Define Status Epilepticus and Epileptic Tolerance
The Journal of Neuroscience, February 1, 2012 • 32(5):1577–1588 • 1577 Neurobiology of Disease Differential DNA Methylation Patterns Define Status Epilepticus and Epileptic Tolerance Suzanne F. C. Miller-Delaney,1 Sudipto Das,2,4 Takanori Sano,1 Eva M. Jimenez-Mateos,1 Kenneth Bryan,2,4 Patrick G. Buckley,2,3,4 Raymond L. Stallings,2,4 and David C. Henshall1 Departments of 1Physiology and Medical Physics and 2Cancer Genetics and 3Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin 2, Ireland, and 4National Children’s Research Centre, Our Lady’s Children’s Hospital, Dublin 12, Ireland Prolonged seizures (status epilepticus) produce pathophysiological changes in the hippocampus that are associated with large-scale, wide-ranging changes in gene expression. Epileptic tolerance is an endogenous program of cell protection that can be activated in the brainbypreviousexposuretoanon-harmfulseizureepisodebeforestatusepilepticus.Amajortranscriptionalfeatureoftoleranceisgene downregulation. Here, through methylation analysis of 34,143 discrete loci representing all annotated CpG islands and promoter regions in the mouse genome, we report the genome-wide DNA methylation changes in the hippocampus after status epilepticus and epileptic tolerance in adult mice. A total of 321 genes showed altered DNA methylation after status epilepticus alone or status epilepticus that followed seizure preconditioning, with Ͼ90% of the promoters of these genes undergoing hypomethylation. These profiles included genes not previously associated with epilepsy, such as the polycomb gene Phc2. Differential methylation events generally occurred throughout the genome without bias for a particular chromosomal region, with the exception of a small region of chromosome 4, which was significantly overrepresented with genes hypomethylated after status epilepticus. -
13Q Deletion Syndrome Involving RB1: Characterization of a New Minimal Critical Region for Psychomotor Delay
G C A T T A C G G C A T genes Article 13q Deletion Syndrome Involving RB1: Characterization of a New Minimal Critical Region for Psychomotor Delay Flavia Privitera 1,2, Arianna Calonaci 3, Gabriella Doddato 1,2, Filomena Tiziana Papa 1,2, Margherita Baldassarri 1,2 , Anna Maria Pinto 4, Francesca Mari 1,2,4, Ilaria Longo 4, Mauro Caini 3, Daniela Galimberti 3, Theodora Hadjistilianou 5, Sonia De Francesco 5, Alessandra Renieri 1,2,4 and Francesca Ariani 1,2,4,* 1 Medical Genetics, University of Siena, 53100 Siena, Italy; fl[email protected] (F.P.); [email protected] (G.D.); fi[email protected] (F.T.P.); [email protected] (M.B.); [email protected] (F.M.); [email protected] (A.R.) 2 Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, 53100 Siena, Italy 3 Unit of Pediatrics, Department of Maternal, Newborn and Child Health, Azienda Ospedaliera Universitaria Senese, Policlinico ‘Santa Maria alle Scotte’, 53100 Siena, Italy; [email protected] (A.C.); [email protected] (M.C.); [email protected] (D.G.) 4 Genetica Medica, Azienda Ospedaliera Universitaria Senese, 53100 Siena, Italy; [email protected] (A.M.P.); [email protected] (I.L.) 5 Unit of Ophthalmology and Retinoblastoma Referral Center, Department of Surgery, University of Siena, Policlinico ‘Santa Maria alle Scotte’, 53100 Siena, Italy; [email protected] (T.H.); [email protected] (S.D.F.) * Correspondence: [email protected]; Tel.: +39-057-723-3303 Citation: Privitera, F.; Calonaci, A.; Abstract: Retinoblastoma (RB) is an ocular tumor of the pediatric age caused by biallelic inactivation Doddato, G.; Papa, F.T.; Baldassarri, of the RB1 gene (13q14). -
Chromosome Transfer Induced Aneuploidy Results in Complex Dysregulation of the Cellular Transcriptome in Immortalized and Cancer Cells
[CANCER RESEARCH 64, 6941–6949, October 1, 2004] Chromosome Transfer Induced Aneuploidy Results in Complex Dysregulation of the Cellular Transcriptome in Immortalized and Cancer Cells Madhvi B. Upender,1 Jens K. Habermann,1,4 Lisa M. McShane,3 Edward L. Korn,3 J. Carl Barrett,2 Michael J. Difilippantonio,1 and Thomas Ried1 1Genetics Branch and 2Laboratory for Biosystems and Cancer, Center for Cancer Research and 3Biometric Research Branch, National Cancer Institute/NIH, Bethesda, Maryland; and 4Department of Oncology and Pathology, Cancer Center Karolinska, Karolinska Institute, Stockholm, Sweden ABSTRACT tumor cells (4, 18–20). Additionally, in cell culture model systems in which cells are exposed to different carcinogens, chromosomal ane- Chromosomal aneuploidies are observed in essentially all sporadic uploidy is the earliest detectable genomic aberration (21, 22). carcinomas. These aneuploidies result in tumor-specific patterns of The conservation of these tumor and tumor-stage–specific patterns genomic imbalances that are acquired early during tumorigenesis, con- tinuously selected for and faithfully maintained in cancer cells. Although of chromosomal aneuploidies suggests that they play a fundamental the paradigm of translocation induced oncogene activation in hematologic biological role in tumorigenesis. It remains, however, unresolved how malignancies is firmly established, it is not known how genomic imbal- such genomic imbalances affect global gene expression patterns. One ances affect chromosome-specific gene expression patterns in particular could postulate that expression levels of all transcriptionally active and how chromosomal aneuploidy dysregulates the genetic equilibrium of genes on trisomic chromosomes would increase in accordance with cells in general. To model specific chromosomal aneuploidies in cancer the chromosome copy number. -
Co-Expression Networks Reveal the Tissue-Specific Regulation of Transcription and Splicing
Downloaded from genome.cshlp.org on September 26, 2021 - Published by Cold Spring Harbor Laboratory Press Method Co-expression networks reveal the tissue-specific regulation of transcription and splicing Ashis Saha,1 Yungil Kim,1,6 Ariel D.H. Gewirtz,2,6 Brian Jo,2 Chuan Gao,3 Ian C. McDowell,4 The GTEx Consortium,7 Barbara E. Engelhardt,5 and Alexis Battle1 1Department of Computer Science, Johns Hopkins University, Baltimore, Maryland 21218, USA; 2Program in Quantitative and Computational Biology, Princeton University, Princeton, New Jersey 08540, USA; 3Department of Statistical Science, Duke University, Durham, North Carolina 27708, USA; 4Program in Computational Biology and Bioinformatics, Duke University, Durham, North Carolina 27708, USA; 5Department of Computer Science and Center for Statistics and Machine Learning, Princeton University, Princeton, New Jersey 08540, USA Gene co-expression networks capture biologically important patterns in gene expression data, enabling functional analyses of genes, discovery of biomarkers, and interpretation of genetic variants. Most network analyses to date have been limited to assessing correlation between total gene expression levels in a single tissue or small sets of tissues. Here, we built networks that additionally capture the regulation of relative isoform abundance and splicing, along with tissue-specific connections unique to each of a diverse set of tissues. We used the Genotype-Tissue Expression (GTEx) project v6 RNA sequencing data across 50 tissues and 449 individuals. First, we developed a framework called Transcriptome-Wide Networks (TWNs) for combining total expression and relative isoform levels into a single sparse network, capturing the interplay between the reg- ulation of splicing and transcription. -
Structural and Biochemical Characterization of the MAB21 Family Members and RIG-I Innate Immune Sensors
Dissertation zur Erlangung des Doktorgrades der Fakultät für Chemie und Pharmazie der Ludwig-Maximilians-Universität München Structural and Biochemical Characterization of the MAB21 Family Members and RIG-I Innate Immune Sensors von Carina Cristina de Oliveira Mann aus Lissabon, Portugal 2016 Erklärung Diese Dissertation wurde im Sinne von § 7 der Promotionsordung vom 28. November 2011 von Herrn Prof. Dr. Karl-Peter Hopfner betreut. Eidesstattliche Versicherung Diese Dissertation wurde eigenständig und ohne unerlaubte Hilfe erarbeitet. München, den 06. 05. 2016 .................................................................... Carina Cristina de Oliveira Mann Dissertation eingereicht am 06. 05. 2016 1. Gutachter Prof. Dr. Karl-Peter Hopfner 2. Gutachter Prof. Dr. Elena Conti Mündliche Prüfung am 04. 07. 2016 This thesis has been prepared from February 2012 to April 2016 in the laboratory of Professor Dr. Karl-Peter Hopfner at the Gene Center of the Ludwig-Maximilians-Universität Munich. This is a cumulative thesis based on following publications: Civril, F.*, Deimling, T.*, de Oliveira Mann, C. C., Ablasser, A., Moldt, M., Witte, G., Hornung, V., and Hopfner, K.-P. (2013) Structural mechanism of cytosolic DNA sensing by cGAS. Nature 498, 332-337 de Oliveira Mann, C. C., Kiefersauer, R., Witte, G., and Hopfner, K.-P. (2016) Structural and biochemical characterization of the cell fate determining nucleotidyltransferase fold protein MAB21L1. Scientific Reports 6, 27498 Lässig, C., Matheisl, S.*, Sparrer, K. M.*, de Oliveira Mann, C. C.*, Moldt, M., Patel, J. R., Goldeck, M., Hartmann, G., García-Sastre, A., Hornung, V., Conzelmann K.-K., Beckmann R., Hopfner K.- P. (2015) ATP hydrolysis by the viral RNA sensor RIG-I prevents unintentional recognition of self-RNA. -
Co-Expression Networks Reveal the Tissue-Specific Regulation
bioRxiv preprint doi: https://doi.org/10.1101/078741; this version posted October 2, 2016. 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-NC-ND 4.0 International license. Co-expression networks reveal the tissue-specific regulation of transcription and splicing Ashis Saha1, Yungil Kim1y, Ariel D. H. Gewirtz2y, Brian Jo2, Chuan Gao3, Ian C. McDowell4, GTEx Consortium, Barbara E. Engelhardt5*, and Alexis Battle1* 1Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA 2Department of Quantitative and Computational Biology, Princeton University, Princeton, NJ, USA 3Department of Statistical Science, Duke University, Durham, NC, USA 4Program in Computational Biology and Bioinformatics, Duke University, Durham, NC, USA 5Department of Computer Science and Center for Statistics and Machine Learning, Princeton University, Princeton, NJ, USA yDenotes equal contribution. *Corresponding authors: [email protected], [email protected] Abstract Gene co-expression networks capture biologically important patterns in gene expression data, en- abling functional analyses of genes, discovery of biomarkers, and interpretation of regulatory genetic variants. Most network analyses to date have been limited to assessing correlation between total gene expression levels in a single or small sets of tissues. Here, we have reconstructed networks that capture a much more complete set of regulatory relationships, specifically including regulation of rel- ative isoform abundance and splicing, and tissue-specific connections unique to each of a diverse set of tissues. Using the Genotype-Tissue Expression (GTEx) project v6 RNA-sequencing data across 44 tissues in 449 individuals, we evaluated shared and tissue-specific network relationships.