Functional Annotation of Genes Overlapping Copy Number Variants in Autistic Patients: Focus on Axon Pathfinding
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Analysis of Protein Complexes Through Model-Based Biclustering of Label-Free Quantitative AP-MS Data
Molecular Systems Biology 6; Article number 385; doi:10.1038/msb.2010.41 Citation: Molecular Systems Biology 6:385 & 2010 EMBO and Macmillan Publishers Limited All rights reserved 1744-4292/10 www.molecularsystemsbiology.com REPORT Analysis of protein complexes through model-based biclustering of label-free quantitative AP-MS data Hyungwon Choi1, Sinae Kim2, Anne-Claude Gingras3,4 and Alexey I Nesvizhskii1,5,* 1 Department of Pathology, University of Michigan, Ann Arbor, MI, USA, 2 Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA, 3 Samuel Lunenfeld Research Institute at Mount Sinai Hospital, Toronto, Ontario, Canada, 4 Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada and 5 Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA * Corresponding author. Department of Pathology, University of Michigan, 1301 Catherine, 4237 MS1, Ann Arbor, MI 48109, USA. Tel.: þ 1 734 764 3516; Fax: þ 1 734 936 7361; E-mail: [email protected] Received 28.8.09; accepted 7.5.10 Affinity purification followed by mass spectrometry (AP-MS) has become a common approach for identifying protein–protein interactions (PPIs) and complexes. However, data analysis and visualization often rely on generic approaches that do not take advantage of the quantitative nature of AP-MS. We present a novel computational method, nested clustering, for biclustering of label-free quantitative AP-MS data. Our approach forms bait clusters based on the similarity of quantitative interaction profiles and identifies submatrices of prey proteins showing consistent quantitative association within bait clusters. In doing so, nested clustering effectively addresses the problem of overrepresentation of interactions involving baits proteins as compared with proteins only identified as preys. -
Functional Analysis of Structural Variation in the 2D and 3D Human Genome
FUNCTIONAL ANALYSIS OF STRUCTURAL VARIATION IN THE 2D AND 3D HUMAN GENOME by Conor Mitchell Liam Nodzak A dissertation submitted to the faculty of The University of North Carolina at Charlotte in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Bioinformatics and Computational Biology Charlotte 2019 Approved by: Dr. Xinghua Mindy Shi Dr. Rebekah Rogers Dr. Jun-tao Guo Dr. Adam Reitzel ii c 2019 Conor Mitchell Liam Nodzak ALL RIGHTS RESERVED iii ABSTRACT CONOR MITCHELL LIAM NODZAK. Functional analysis of structural variation in the 2D and 3D human genome. (Under the direction of DR. XINGHUA MINDY SHI) The human genome consists of over 3 billion nucleotides that have an average distance of 3.4 Angstroms between each base, which equates to over two meters of DNA contained within the 125 µm3 volume diploid cell nuclei. The dense compaction of chromatin by the supercoiling of DNA forms distinct architectural modules called topologically associated domains (TADs), which keep protein-coding genes, noncoding RNAs and epigenetic regulatory elements in close nuclear space. It has recently been shown that these conserved chromatin structures may contribute to tissue-specific gene expression through the encapsulation of genes and cis-regulatory elements, and mutations that affect TADs can lead to developmental disorders and some forms of cancer. At the population-level, genomic structural variation contributes more to cumulative genetic difference than any other class of mutation, yet much remains to be studied as to how structural variation affects TADs. Here, we study the func- tional effects of structural variants (SVs) through the analysis of chromatin topology and gene activity for three trio families sampled from genetically diverse popula- tions from the Human Genome Structural Variation Consortium. -
STRIPAK Complexes in Cell Signaling and Cancer
Oncogene (2016), 1–9 © 2016 Macmillan Publishers Limited All rights reserved 0950-9232/16 www.nature.com/onc REVIEW STRIPAK complexes in cell signaling and cancer Z Shi1,2, S Jiao1 and Z Zhou1,3 Striatin-interacting phosphatase and kinase (STRIPAK) complexes are striatin-centered multicomponent supramolecular structures containing both kinases and phosphatases. STRIPAK complexes are evolutionarily conserved and have critical roles in protein (de) phosphorylation. Recent studies indicate that STRIPAK complexes are emerging mediators and regulators of multiple vital signaling pathways including Hippo, MAPK (mitogen-activated protein kinase), nuclear receptor and cytoskeleton remodeling. Different types of STRIPAK complexes are extensively involved in a variety of fundamental biological processes ranging from cell growth, differentiation, proliferation and apoptosis to metabolism, immune regulation and tumorigenesis. Growing evidence correlates dysregulation of STRIPAK complexes with human diseases including cancer. In this review, we summarize the current understanding of the assembly and functions of STRIPAK complexes, with a special focus on cell signaling and cancer. Oncogene advance online publication, 15 February 2016; doi:10.1038/onc.2016.9 INTRODUCTION in the central nervous system and STRN4 is mostly abundant in Recent proteomic studies identified a group of novel multi- the brain and lung, whereas STRN3 is ubiquitously expressed in 5–9 component complexes named striatin (STRN)-interacting phos- almost all tissues. STRNs share a -
The Identification of 64 Novel Genetic Loci Provides an Expanded View on the Genetic Architecture of Coronary Artery Disease
University of Groningen Identification of 64 Novel Genetic Loci Provides an Expanded View on the Genetic Architecture of Coronary Artery Disease van der Harst, Pim; Verweij, Niek Published in: Circulation research DOI: 10.1161/CIRCRESAHA.117.312086 IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below. Document Version Publisher's PDF, also known as Version of record Publication date: 2018 Link to publication in University of Groningen/UMCG research database Citation for published version (APA): van der Harst, P., & Verweij, N. (2018). Identification of 64 Novel Genetic Loci Provides an Expanded View on the Genetic Architecture of Coronary Artery Disease. Circulation research, 122(3), 433-443. https://doi.org/10.1161/CIRCRESAHA.117.312086 Copyright Other than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons). The publication may also be distributed here under the terms of Article 25fa of the Dutch Copyright Act, indicated by the “Taverne” license. More information can be found on the University of Groningen website: https://www.rug.nl/library/open-access/self-archiving-pure/taverne- amendment. Take-down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. -
Mouse Asz1 Conditional Knockout Project (CRISPR/Cas9)
https://www.alphaknockout.com Mouse Asz1 Conditional Knockout Project (CRISPR/Cas9) Objective: To create a Asz1 conditional knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Asz1 gene (NCBI Reference Sequence: NM_023729 ; Ensembl: ENSMUSG00000010796 ) is located on Mouse chromosome 6. 13 exons are identified, with the ATG start codon in exon 1 and the TAA stop codon in exon 13 (Transcript: ENSMUST00000010940). Exon 3~4 will be selected as conditional knockout region (cKO region). Deletion of this region should result in the loss of function of the Mouse Asz1 gene. To engineer the targeting vector, homologous arms and cKO region will be generated by PCR using BAC clone RP23-39F14 as template. Cas9, gRNA and targeting vector will be co-injected into fertilized eggs for cKO Mouse production. The pups will be genotyped by PCR followed by sequencing analysis. Note: Homozygous null male mice are sterile resulting from a block in spermatid development. Exon 3 starts from about 14.46% of the coding region. The knockout of Exon 3~4 will result in frameshift of the gene. The size of intron 2 for 5'-loxP site insertion: 3504 bp, and the size of intron 4 for 3'-loxP site insertion: 26235 bp. The size of effective cKO region: ~1899 bp. The cKO region does not have any other known gene. Page 1 of 7 https://www.alphaknockout.com Overview of the Targeting Strategy Wildtype allele 5' gRNA region gRNA region 3' 1 3 4 13 Targeting vector Targeted allele Constitutive KO allele (After Cre recombination) Legends Exon of mouse Asz1 Homology arm cKO region loxP site Page 2 of 7 https://www.alphaknockout.com Overview of the Dot Plot Window size: 10 bp Forward Reverse Complement Sequence 12 Note: The sequence of homologous arms and cKO region is aligned with itself to determine if there are tandem repeats. -
Homology-Based Negative Data Sampling Method for Genome-Scale Reconstruction of Human Protein–Protein Interaction Networks
International Journal of Molecular Sciences Article Neglog: Homology-Based Negative Data Sampling Method for Genome-Scale Reconstruction of Human Protein–Protein Interaction Networks Suyu Mei 1,* and Kun Zhang 2,* 1 Software College, Shenyang Normal University, Shenyang 110034, China 2 Bioinformatics Facility of Xavier NIH RCMI Cancer Research Center, Department of Computer Science, Xavier University of Louisiana, New Orleans, LA 70125, USA * Correspondence: [email protected] (S.M.); [email protected] (K.Z.) Received: 27 September 2019; Accepted: 11 October 2019; Published: 12 October 2019 Abstract: Rapid reconstruction of genome-scale protein–protein interaction (PPI) networks is instrumental in understanding the cellular processes and disease pathogenesis and drug reactions. However, lack of experimentally verified negative data (i.e., pairs of proteins that do not interact) is still a major issue that needs to be properly addressed in computational modeling. In this study, we take advantage of the very limited experimentally verified negative data from Negatome to infer more negative data for computational modeling. We assume that the paralogs or orthologs of two non-interacting proteins also do not interact with high probability. We coin an assumption as “Neglog” this assumption is to some extent supported by paralogous/orthologous structure conservation. To reduce the risk of bias toward the negative data from Negatome, we combine Neglog with less biased random sampling according to a certain ratio to construct training data. L2-regularized logistic regression is used as the base classifier to counteract noise and train on a large dataset. Computational results show that the proposed Neglog method outperforms pure random sampling method with sound biological interpretability. -
Transcriptional and Post-Transcriptional Profile of Human Chromosome 21
Downloaded from genome.cshlp.org on October 6, 2021 - Published by Cold Spring Harbor Laboratory Press Methods Transcriptional and post-transcriptional profile of human chromosome 21 Sergey I. Nikolaev,1,5 Samuel Deutsch,1,5 Raphael Genolet,2 Christelle Borel,1 Leila Parand,1 Catherine Ucla,1 Frederic Schu¨tz,3 Genevieve Duriaux Sail,1 Yann Dupre´,1 Pascale Jaquier-Gubler,2 Tanguy Araud,2 Beatrice Conne,1 Patrick Descombes,4 Jean-Dominique Vassalli,1 Joseph Curran,2 and Stylianos E. Antonarakis1,6 1Department of Genetic Medicine and Development, University of Geneva Medical School, CH-1211 Geneva, Switzerland; 2Department of Microbiology and Molecular Medicine, University of Geneva Medical School, CH-1211 Geneva, Switzerland; 3Swiss Bioinformatics Institute, Genopode Builiding, CH-1015 Lausanne, Switzerland; 4Genomics Platform, University of Geneva Medical School, CH-1211 Geneva, Switzerland Recent studies have demonstrated extensive transcriptional activity across the human genome, a substantial fraction of which is not associated with any functional annotation. However, very little is known regarding the post-transcriptional processes that operate within the different classes of RNA molecules. To characterize the post-transcriptional properties of expressed sequences from human chromosome 21 (HSA21), we separated RNA molecules from three cell lines (GM06990, HeLa S3, and SK-N-AS) according to their ribosome content by sucrose gradient fractionation. Poly- ribosomal-associated RNA and total RNA were subsequently hybridized to genomic tiling arrays. We found that ;50% of the transcriptional signals were located outside of annotated exons and were considered as TARs (transcriptionally active regions). Although TARs were observed among polysome-associated RNAs, RT-PCR and RACE experiments revealed that ;40% were likely to represent nonspecific cross-hybridization artifacts. -
The Genetics of the Mood Disorder Spectrum: Genome-Wide Association Analyses of More Than 185,000 Cases and 439,000 Controls
Coleman, J. R.I. et al. (2020) The genetics of the mood disorder spectrum: genome-wide association analyses of more than 185,000 cases and 439,000 controls. Biological Psychiatry, 88(2), pp. 169-184. (doi: 10.1016/j.biopsych.2019.10.015) There may be differences between this version and the published version. You are advised to consult the publisher’s version if you wish to cite from it. http://eprints.gla.ac.uk/208027/ Deposited on 11 December 2019 Enlighten – Research publications by members of the University of Glasgow http://eprints.gla.ac.uk 1 Title: The genetics of the mood disorder spectrum: genome-wide association 2 analyses of over 185,000 cases and 439,000 controls 3 Authors: Jonathan R. I. Coleman1;2, Héléna A. Gaspar1;2, Julien Bryois3, Bipolar 4 Disorder Working Group of the Psychiatric Genomics Consortium4, Major Depressive 5 Disorder Working Group of the Psychiatric Genomics Consortium4, Gerome Breen1;2 6 Affiliations: 7 1. Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, 8 Psychology and Neuroscience, King's College London, London, United Kingdom 9 2. NIHR Maudsley Biomedical Research Centre, King's College London, 10 London, United Kingdom 11 3. Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 12 Stockholm, Sweden 13 4. Full consortium authorship listed in Article Information 14 15 Correspondence to: Gerome Breen, Social, Genetic and Developmental Psychiatry 16 Centre, Institute of Psychiatry, Psychology and Neuroscience, London, SE5 8AF, 17 UK, [email protected], +442078480409 18 Short title: GWAS of the mood disorder spectrum 19 Keywords: major depressive disorder; bipolar disorder; mood disorders; affective 20 disorders; genome-wide association study; genetic correlation 21 Abstract: 239 words 22 Main text: 3998 words (including citations and headers) 23 Tables: 1 24 Figures: 5 25 Supplementary Materials: 2 (Materials and Figures, Tables) 1 1 2 Abstract 3 Background 4 Mood disorders (including major depressive disorder and bipolar disorder) affect 10- 5 20% of the population. -
Specification and Epigenetic Resetting of the Pig Germline Exhibit Conservation with the Human Lineage
bioRxiv preprint doi: https://doi.org/10.1101/2020.08.07.241075; this version posted August 7, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-ND 4.0 International license. Specification and epigenetic resetting of the pig germline exhibit conservation with the human lineage Qifan Zhu1#, Fei Sang2#, Sarah Withey1^§, Walfred Tang3,4^, Sabine Dietmann3^, Doris Klisch1, Priscila Ramos-Ibeas1§, Haixin Zhang1§, Cristina E. Requena5,6, Petra Hajkova5,6, Matt Loose2, M. Azim Surani3,4,7*, Ramiro Alberio1* 1 School of Biosciences, University of Nottingham, Sutton Bonington Campus, LE12 5RD, UK. 2 School of Life Sciences, University of Nottingham, Nottingham, NG7 2RD, UK. 3 Wellcome Trust/Cancer Research UK Gurdon Institute, University of Cambridge, Tennis Court Road, Cambridge CB2 1QN, UK. 4 Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge CB2 3DY, UK. 5 MRC London Institute of Medical Sciences (LMS), London, UK. 6 Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, London, UK. 7 Wellcome Trust Medical Research Council Stem Cell Institute, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK § Current address: P.R-I.: Animal Reproduction Department, National Institute for Agricultural and Food Research and Technology, Madrid 28040, Spain; S.W.: Stem Cell Engineering Group, Australian Institute for Bioengineering and Nanotechnology, University of Queensland, Building 75, St Lucia, QLD 4072, Australia. # Equal contribution, ^ Equal contribution * Co-corresponding authors Email addresses of corresponding authors: [email protected]; [email protected] Lead contact: Ramiro Alberio 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.08.07.241075; this version posted August 7, 2020. -
MOB (Mps One Binder) Proteins in the Hippo Pathway and Cancer
Review MOB (Mps one Binder) Proteins in the Hippo Pathway and Cancer Ramazan Gundogdu 1 and Alexander Hergovich 2,* 1 Vocational School of Health Services, Bingol University, 12000 Bingol, Turkey; [email protected] 2 UCL Cancer Institute, University College London, WC1E 6BT, London, United Kingdom * Correspondence: [email protected]; Tel.: +44 20 7679 2000; Fax: +44 20 7679 6817 Received: 1 May 2019; Accepted: 4 June 2019; Published: 10 June 2019 Abstract: The family of MOBs (monopolar spindle-one-binder proteins) is highly conserved in the eukaryotic kingdom. MOBs represent globular scaffold proteins without any known enzymatic activities. They can act as signal transducers in essential intracellular pathways. MOBs have diverse cancer-associated cellular functions through regulatory interactions with members of the NDR/LATS kinase family. By forming additional complexes with serine/threonine protein kinases of the germinal centre kinase families, other enzymes and scaffolding factors, MOBs appear to be linked to an even broader disease spectrum. Here, we review our current understanding of this emerging protein family, with emphases on post-translational modifications, protein-protein interactions, and cellular processes that are possibly linked to cancer and other diseases. In particular, we summarise the roles of MOBs as core components of the Hippo tissue growth and regeneration pathway. Keywords: Mps one binder; Hippo pathway; protein kinase; signal transduction; phosphorylation; protein-protein interactions; structure biology; STK38; NDR; LATS; MST; STRIPAK 1. Introduction The family of MOBs (monopolar spindle-one-binder proteins) is highly conserved in eukaryotes [1–4]. To our knowledge, at least two different MOBs have been found in every eukaryote analysed so far. -
The Origins, Evolution, and Functional Potential of Alternative Splicing In
View metadata, citation and similar papers at core.ac.uk brought to you by CORE The Origins, Evolution, and Functional Potential ofprovided by Serveur académique lausannois Alternative Splicing in Vertebrates Jonathan M. Mudge,*,1 Adam Frankish,1 Julio Fernandez-Banet,1 Tyler Alioto,2 Thomas Derrien,3 Ce´dric Howald,4 Alexandre Reymond,4 Roderic Guigo´,3 Tim Hubbard,1 and Jennifer Harrow1 1Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK 2Centro Nacional de Ana´lisis Geno´mico, Barcelona, Spain 3Centre de Regulacio´ Geno`mica, Bioinformatics and Genomics group, Barcelona, Spain 4Center for Integrative Genomics, Genopode building, University of Lausanne, Lausanne, Switzerland *Corresponding author: E-mail:[email protected]. Associate editor: Douglas Crawford Research article Abstract Alternative splicing (AS) has the potential to greatly expand the functional repertoire of mammalian transcriptomes. However, few variant transcripts have been characterized functionally, making it difficult to assess the contribution of AS to the generation of phenotypic complexity and to study the evolution of splicing patterns. We have compared the AS of 309 protein-coding genes in the human ENCODE pilot regions against their mouse orthologs in unprecedented detail, utilizing traditional transcriptomic and RNAseq data. The conservation status of every transcript has been investigated, and each functionally categorized as coding (separated into coding sequence [CDS] or nonsense-mediated decay [NMD] linked) or noncoding. In total, 36.7% of human and 19.3% of mouse coding transcripts are species specific, and we observe a 3.6 times excess of human NMD transcripts compared with mouse; in contrast to previous studies, the majority of species-specific AS is unlinked to transposable elements. -
Chromatin Dynamics and the Role of G9a in Gene Regulation And
RESEARCH ARTICLE Chromatin dynamics and the role of G9a in gene regulation and enhancer silencing during early mouse development Jan J Zylicz1,2,3, Sabine Dietmann3, Ufuk Gu¨ nesdogan1,2, Jamie A Hackett1,2, Delphine Cougot1,2, Caroline Lee1,2, M Azim Surani1,2* 1Wellcome Trust/Cancer Research United Kingdom Gurdon Institute, University of Cambridge, Cambridge, United Kingdom; 2Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom; 3Wellcome Trust/Medical Research Council Stem Cell Institute, University of Cambridge, Cambridge, United Kingdom Abstract Early mouse development is accompanied by dynamic changes in chromatin modifications, including G9a-mediated histone H3 lysine 9 dimethylation (H3K9me2), which is essential for embryonic development. Here we show that genome-wide accumulation of H3K9me2 is crucial for postimplantation development, and coincides with redistribution of enhancer of zeste homolog 2 (EZH2)-dependent histone H3 lysine 27 trimethylation (H3K27me3). Loss of G9a or EZH2 results in upregulation of distinct gene sets involved in cell cycle regulation, germline development and embryogenesis. Notably, the H3K9me2 modification extends to active enhancer elements where it promotes developmentally-linked gene silencing and directly marks promoters and gene bodies. This epigenetic mechanism is important for priming gene regulatory networks for critical cell fate decisions in rapidly proliferating postimplantation epiblast cells. DOI: 10.7554/eLife.09571.001 *For correspondence: a.surani@ gurdon.cam.ac.uk Competing interests: The Introduction authors declare that no Early mammalian development progresses through a series of landmark events that are regulated by competing interests exist. transcriptional and epigenetic mechanisms. Accordingly, establishment of the pluripotent inner cell mass (ICM) in E3.5 blastocysts is linked with global DNA hypomethylation (Figure 1A) Funding: See page 22 (Hackett et al., 2013a; Smith et al., 2012; Wang et al., 2014).