Mouse Ppp1r9a Conditional Knockout Project (CRISPR/Cas9)
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Analyses of Allele-Specific Gene Expression in Highly Divergent
ARTICLES Analyses of allele-specific gene expression in highly divergent mouse crosses identifies pervasive allelic imbalance James J Crowley1,10, Vasyl Zhabotynsky1,10, Wei Sun1,2,10, Shunping Huang3, Isa Kemal Pakatci3, Yunjung Kim1, Jeremy R Wang3, Andrew P Morgan1,4,5, John D Calaway1,4,5, David L Aylor1,9, Zaining Yun1, Timothy A Bell1,4,5, Ryan J Buus1,4,5, Mark E Calaway1,4,5, John P Didion1,4,5, Terry J Gooch1,4,5, Stephanie D Hansen1,4,5, Nashiya N Robinson1,4,5, Ginger D Shaw1,4,5, Jason S Spence1, Corey R Quackenbush1, Cordelia J Barrick1, Randal J Nonneman1, Kyungsu Kim2, James Xenakis2, Yuying Xie1, William Valdar1,4, Alan B Lenarcic1, Wei Wang3,9, Catherine E Welsh3, Chen-Ping Fu3, Zhaojun Zhang3, James Holt3, Zhishan Guo3, David W Threadgill6, Lisa M Tarantino7, Darla R Miller1,4,5, Fei Zou2,11, Leonard McMillan3,11, Patrick F Sullivan1,5,7,8,11 & Fernando Pardo-Manuel de Villena1,4,5,11 Complex human traits are influenced by variation in regulatory DNA through mechanisms that are not fully understood. Because regulatory elements are conserved between humans and mice, a thorough annotation of cis regulatory variants in mice could aid in further characterizing these mechanisms. Here we provide a detailed portrait of mouse gene expression across multiple tissues in a three-way diallel. Greater than 80% of mouse genes have cis regulatory variation. Effects from these variants influence complex traits and usually extend to the human ortholog. Further, we estimate that at least one in every thousand SNPs creates a cis regulatory effect. -
Comparative Analysis of Human Chromosome 7Q21 and Mouse
Downloaded from genome.cshlp.org on October 2, 2021 - Published by Cold Spring Harbor Laboratory Press Letter Comparative analysis of human chromosome 7q21 and mouse proximal chromosome 6 reveals a placental-specific imprinted gene, TFPI2/Tfpi2, which requires EHMT2 and EED for allelic-silencing David Monk,1,6 Alexandre Wagschal,2 Philippe Arnaud,2 Pari-Sima Mu¨ller,3 Layla Parker-Katiraee,4 Déborah Bourc’his,5 Stephen W. Scherer,4 Robert Feil,2 Philip Stanier,1 and Gudrun E. Moore1 1Institute of Child Health, London WC1N 1EH, United Kingdom; 2Institute of Molecular Genetics, CNRS UMR-5535 and University of Montpellier-II, 34293 Montpellier, France; 3Sir William Dunn School of Pathology, University of Oxford, Oxford OX1 3RE, United Kingdom; 4Center for Applied Genomics, The Hospital for Sick Children, Toronto M5G 1L7, Canada; 5Inserm U741, F-75251 Paris Cedex 05, France Genomic imprinting is a developmentally important mechanism that involves both differential DNA methylation and allelic histone modifications. Through detailed comparative characterization, a large imprinted domain mapping to chromosome 7q21 in humans and proximal chromosome 6 in mice was redefined. This domain is organized around a maternally methylated CpG island comprising the promoters of the adjacent PEG10 and SGCE imprinted genes. Examination of Dnmt3l−/+ conceptuses shows that imprinted expression for all genes of the cluster depends upon the germline methylation at this putative “imprinting control region” (ICR). Similarly as for other ICRs, we find its DNA-methylated allele to be associated with trimethylation of lysine 9 on histone H3 (H3K9me3) and trimethylation of lysine 20 on histone H4 (H4K20me3), whereas the transcriptionally active paternal allele is enriched in H3K4me2 and H3K9 acetylation. -
Detailed Characterization of Human Induced Pluripotent Stem Cells Manufactured for Therapeutic Applications
Stem Cell Rev and Rep DOI 10.1007/s12015-016-9662-8 Detailed Characterization of Human Induced Pluripotent Stem Cells Manufactured for Therapeutic Applications Behnam Ahmadian Baghbaderani 1 & Adhikarla Syama2 & Renuka Sivapatham3 & Ying Pei4 & Odity Mukherjee2 & Thomas Fellner1 & Xianmin Zeng3,4 & Mahendra S. Rao5,6 # The Author(s) 2016. This article is published with open access at Springerlink.com Abstract We have recently described manufacturing of hu- help determine which set of tests will be most useful in mon- man induced pluripotent stem cells (iPSC) master cell banks itoring the cells and establishing criteria for discarding a line. (MCB) generated by a clinically compliant process using cord blood as a starting material (Baghbaderani et al. in Stem Cell Keywords Induced pluripotent stem cells . Embryonic stem Reports, 5(4), 647–659, 2015). In this manuscript, we de- cells . Manufacturing . cGMP . Consent . Markers scribe the detailed characterization of the two iPSC clones generated using this process, including whole genome se- quencing (WGS), microarray, and comparative genomic hy- Introduction bridization (aCGH) single nucleotide polymorphism (SNP) analysis. We compare their profiles with a proposed calibra- Induced pluripotent stem cells (iPSCs) are akin to embryonic tion material and with a reporter subclone and lines made by a stem cells (ESC) [2] in their developmental potential, but dif- similar process from different donors. We believe that iPSCs fer from ESC in the starting cell used and the requirement of a are likely to be used to make multiple clinical products. We set of proteins to induce pluripotency [3]. Although function- further believe that the lines used as input material will be used ally identical, iPSCs may differ from ESC in subtle ways, at different sites and, given their immortal status, will be used including in their epigenetic profile, exposure to the environ- for many years or even decades. -
Mclean, Chelsea.Pdf
COMPUTATIONAL PREDICTION AND EXPERIMENTAL VALIDATION OF NOVEL MOUSE IMPRINTED GENES A Dissertation Presented to the Faculty of the Graduate School of Cornell University In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy by Chelsea Marie McLean August 2009 © 2009 Chelsea Marie McLean COMPUTATIONAL PREDICTION AND EXPERIMENTAL VALIDATION OF NOVEL MOUSE IMPRINTED GENES Chelsea Marie McLean, Ph.D. Cornell University 2009 Epigenetic modifications, including DNA methylation and covalent modifications to histone tails, are major contributors to the regulation of gene expression. These changes are reversible, yet can be stably inherited, and may last for multiple generations without change to the underlying DNA sequence. Genomic imprinting results in expression from one of the two parental alleles and is one example of epigenetic control of gene expression. So far, 60 to 100 imprinted genes have been identified in the human and mouse genomes, respectively. Identification of additional imprinted genes has become increasingly important with the realization that imprinting defects are associated with complex disorders ranging from obesity to diabetes and behavioral disorders. Despite the importance imprinted genes play in human health, few studies have undertaken genome-wide searches for new imprinted genes. These have used empirical approaches, with some success. However, computational prediction of novel imprinted genes has recently come to the forefront. I have developed generalized linear models using data on a variety of sequence and epigenetic features within a training set of known imprinted genes. The resulting models were used to predict novel imprinted genes in the mouse genome. After imposing a stringency threshold, I compiled an initial candidate list of 155 genes. -
The Human Gene Connectome As a Map of Short Cuts for Morbid Allele Discovery
The human gene connectome as a map of short cuts for morbid allele discovery Yuval Itana,1, Shen-Ying Zhanga,b, Guillaume Vogta,b, Avinash Abhyankara, Melina Hermana, Patrick Nitschkec, Dror Friedd, Lluis Quintana-Murcie, Laurent Abela,b, and Jean-Laurent Casanovaa,b,f aSt. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY 10065; bLaboratory of Human Genetics of Infectious Diseases, Necker Branch, Paris Descartes University, Institut National de la Santé et de la Recherche Médicale U980, Necker Medical School, 75015 Paris, France; cPlateforme Bioinformatique, Université Paris Descartes, 75116 Paris, France; dDepartment of Computer Science, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel; eUnit of Human Evolutionary Genetics, Centre National de la Recherche Scientifique, Unité de Recherche Associée 3012, Institut Pasteur, F-75015 Paris, France; and fPediatric Immunology-Hematology Unit, Necker Hospital for Sick Children, 75015 Paris, France Edited* by Bruce Beutler, University of Texas Southwestern Medical Center, Dallas, TX, and approved February 15, 2013 (received for review October 19, 2012) High-throughput genomic data reveal thousands of gene variants to detect a single mutated gene, with the other polymorphic genes per patient, and it is often difficult to determine which of these being of less interest. This goes some way to explaining why, variants underlies disease in a given individual. However, at the despite the abundance of NGS data, the discovery of disease- population level, there may be some degree of phenotypic homo- causing alleles from such data remains somewhat limited. geneity, with alterations of specific physiological pathways under- We developed the human gene connectome (HGC) to over- come this problem. -
Decreased DNA Methylation at Promoters and Gene-Specific Neuronal
medRxiv preprint doi: https://doi.org/10.1101/2020.12.10.20246405; this version posted December 11, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . Decreased DNA methylation at promoters and gene-specific neuronal hypermethylation in the prefrontal cortex of patients with bipolar disorder Miki Bundo1†, Junko Ueda1,2†, Yutaka Nakachi1, Kiyoto Kasai3,4, Tadafumi Kato2,5#, Kazuya Iwamoto1# 1Department of Molecular Brain Science, Graduate School of Medical Sciences, Kumamoto University, Japan 2Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Center for Brain Science, Japan 3Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Japan 4The International Research Center for Neurointelligence (WPI-IRCN) at The University of Tokyo Institutes for Advanced Study (UTIAS), 5Department of Psychiatry and Behavioral Science, Graduate School of Medicine, Juntendo University †contributed equally to this work #corresponding authors: Kazuya Iwamoto Department of Molecular Brain Science, Graduate School of Medical Sciences, Kumamoto University. 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan [email protected] Tadadumi Kato Department of Psychiatry and Behavioral Science, Graduate School of Medicine, Juntendo University. 2-1-1 Hongo, Bunkyo, Tokyo 113-8421, Japan [email protected]. Running title: DNA methylation analysis in bipolar disorder 1 NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. medRxiv preprint doi: https://doi.org/10.1101/2020.12.10.20246405; this version posted December 11, 2020. -
Genome-Wide Functional Analysis of Human Cell-Cycle Regulators
Genome-wide functional analysis of human cell-cycle regulators Mridul Mukherji*, Russell Bell†, Lubica Supekova*, Yan Wang‡, Anthony P. Orth‡, Serge Batalov‡, Loren Miraglia‡, Dieter Huesken§, Joerg Lange§, Christopher Martin†, Sudhir Sahasrabudhe†, Mischa Reinhardt§, Francois Natt§, Jonathan Hall§, Craig Mickanin¶, Mark Labow¶, Sumit K. Chanda‡, Charles Y. Cho‡ʈ, and Peter G. Schultz*‡ʈ *The Skaggs Institute for Chemical Biology and Department of Chemistry, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037; †Prolexys Pharmaceuticals, Inc., 2150 West Dauntless Avenue, Salt Lake City, UT 84116; ‡Genomics Institute of the Novartis Research Foundation, 10675 John Jay Hopkins Drive, San Diego, CA 92121; §Genome and Proteome Sciences, Novartis Institutes for BioMedical Research, CH-4002 Basel, Switzerland; and ¶Genome and Proteome Sciences, Novartis Institutes for BioMedical Research, Inc., 250 Massachusetts Avenue, Cambridge, MA 02139 Contributed by Peter G. Schultz, May 25, 2006 Human cells have evolved complex signaling networks to coordi- 5,000 shRNAs targeting 1,028 genes for regulators of mitosis that nate the cell cycle. A detailed understanding of the global regu- identified Ϸ100 candidate genes; this subset targeted primarily lation of this fundamental process requires comprehensive iden- protein kinases, phosphatases, tumor suppressors, and DNA tification of the genes and pathways involved in the various stages modifying enzymes (12). To identify novel cell-cycle regulators, of cell-cycle progression. To this end, we report a genome-wide we have independently depleted 24,373 genes from the human analysis of the human cell cycle, cell size, and proliferation by genome with 58,746 synthetic siRNAs and examined genes that targeting >95% of the protein-coding genes in the human genome alter the cell-cycle distribution of unsynchronized U2OS cells, a using small interfering RNAs (siRNAs). -
Live-Cell Imaging Rnai Screen Identifies PP2A–B55α and Importin-Β1 As Key Mitotic Exit Regulators in Human Cells
LETTERS Live-cell imaging RNAi screen identifies PP2A–B55α and importin-β1 as key mitotic exit regulators in human cells Michael H. A. Schmitz1,2,3, Michael Held1,2, Veerle Janssens4, James R. A. Hutchins5, Otto Hudecz6, Elitsa Ivanova4, Jozef Goris4, Laura Trinkle-Mulcahy7, Angus I. Lamond8, Ina Poser9, Anthony A. Hyman9, Karl Mechtler5,6, Jan-Michael Peters5 and Daniel W. Gerlich1,2,10 When vertebrate cells exit mitosis various cellular structures can contribute to Cdk1 substrate dephosphorylation during vertebrate are re-organized to build functional interphase cells1. This mitotic exit, whereas Ca2+-triggered mitotic exit in cytostatic-factor- depends on Cdk1 (cyclin dependent kinase 1) inactivation arrested egg extracts depends on calcineurin12,13. Early genetic studies in and subsequent dephosphorylation of its substrates2–4. Drosophila melanogaster 14,15 and Aspergillus nidulans16 reported defects Members of the protein phosphatase 1 and 2A (PP1 and in late mitosis of PP1 and PP2A mutants. However, the assays used in PP2A) families can dephosphorylate Cdk1 substrates in these studies were not specific for mitotic exit because they scored pro- biochemical extracts during mitotic exit5,6, but how this relates metaphase arrest or anaphase chromosome bridges, which can result to postmitotic reassembly of interphase structures in intact from defects in early mitosis. cells is not known. Here, we use a live-cell imaging assay and Intracellular targeting of Ser/Thr phosphatase complexes to specific RNAi knockdown to screen a genome-wide library of protein substrates is mediated by a diverse range of regulatory and targeting phosphatases for mitotic exit functions in human cells. We subunits that associate with a small group of catalytic subunits3,4,17. -
Alterations of the Pro-Survival Bcl-2 Protein Interactome in Breast Cancer
bioRxiv preprint doi: https://doi.org/10.1101/695379; this version posted July 12, 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-NC-ND 4.0 International license. 1 Alterations of the pro-survival Bcl-2 protein interactome in 2 breast cancer at the transcriptional, mutational and 3 structural level 4 5 Simon Mathis Kønig1, Vendela Rissler1, Thilde Terkelsen1, Matteo Lambrughi1, Elena 6 Papaleo1,2 * 7 1Computational Biology Laboratory, Danish Cancer Society Research Center, 8 Strandboulevarden 49, 2100, Copenhagen 9 10 2Translational Disease Systems Biology, Faculty of Health and Medical Sciences, Novo 11 Nordisk Foundation Center for Protein Research University of Copenhagen, Copenhagen, 12 Denmark 13 14 Abstract 15 16 Apoptosis is an essential defensive mechanism against tumorigenesis. Proteins of the B-cell 17 lymphoma-2 (Bcl-2) family regulates programmed cell death by the mitochondrial apoptosis 18 pathway. In response to intracellular stresses, the apoptotic balance is governed by interactions 19 of three distinct subgroups of proteins; the activator/sensitizer BH3 (Bcl-2 homology 3)-only 20 proteins, the pro-survival, and the pro-apoptotic executioner proteins. Changes in expression 21 levels, stability, and functional impairment of pro-survival proteins can lead to an imbalance 22 in tissue homeostasis. Their overexpression or hyperactivation can result in oncogenic effects. 23 Pro-survival Bcl-2 family members carry out their function by binding the BH3 short linear 24 motif of pro-apoptotic proteins in a modular way, creating a complex network of protein- 25 protein interactions. -
Snps in Genes Coding for ROS Metabolism and Signalling in Association with Docetaxel Clearance
The Pharmacogenomics Journal (2010) 10, 513–523 & 2010 Macmillan Publishers Limited. All rights reserved 1470-269X/10 www.nature.com/tpj ORIGINAL ARTICLE SNPs in genes coding for ROS metabolism and signalling in association with docetaxel clearance H Edvardsen1,2, PF Brunsvig3, The dose of docetaxel is currently calculated based on body surface area 1,4 5 and does not reflect the pharmacokinetic, metabolic potential or genetic H Solvang , A Tsalenko , background of the patients. The influence of genetic variation on the 6 7 A Andersen , A-C Syvanen , clearance of docetaxel was analysed in a two-stage analysis. In step one, 583 Z Yakhini5, A-L Børresen-Dale1,2, single-nucleotide polymorphisms (SNPs) in 203 genes were genotyped on H Olsen6, S Aamdal3 and samples from 24 patients with locally advanced non-small cell lung cancer. 1,2 We found that many of the genes harbour several SNPs associated with VN Kristensen clearance of docetaxel. Most notably these were four SNPs in EGF, three SNPs 1Department of Genetics, Institute of Cancer in PRDX4 and XPC, and two SNPs in GSTA4, TGFBR2, TNFAIP2, BCL2, DPYD Research, Oslo University Hospital Radiumhospitalet, and EGFR. The multiple SNPs per gene suggested the existence of common Oslo, Norway; 2Institute of Clinical Medicine, haplotypes associated with clearance. These were confirmed with detailed 3 University of Oslo, Oslo, Norway; Cancer Clinic, haplotype analysis. On the basis of analysis of variance (ANOVA), quantitative Oslo University Hospital Radiumhospitalet, Oslo, Norway; 4Institute of -
393LN V 393P 344SQ V 393P Probe Set Entrez Gene
393LN v 393P 344SQ v 393P Entrez fold fold probe set Gene Gene Symbol Gene cluster Gene Title p-value change p-value change chemokine (C-C motif) ligand 21b /// chemokine (C-C motif) ligand 21a /// chemokine (C-C motif) ligand 21c 1419426_s_at 18829 /// Ccl21b /// Ccl2 1 - up 393 LN only (leucine) 0.0047 9.199837 0.45212 6.847887 nuclear factor of activated T-cells, cytoplasmic, calcineurin- 1447085_s_at 18018 Nfatc1 1 - up 393 LN only dependent 1 0.009048 12.065 0.13718 4.81 RIKEN cDNA 1453647_at 78668 9530059J11Rik1 - up 393 LN only 9530059J11 gene 0.002208 5.482897 0.27642 3.45171 transient receptor potential cation channel, subfamily 1457164_at 277328 Trpa1 1 - up 393 LN only A, member 1 0.000111 9.180344 0.01771 3.048114 regulating synaptic membrane 1422809_at 116838 Rims2 1 - up 393 LN only exocytosis 2 0.001891 8.560424 0.13159 2.980501 glial cell line derived neurotrophic factor family receptor alpha 1433716_x_at 14586 Gfra2 1 - up 393 LN only 2 0.006868 30.88736 0.01066 2.811211 1446936_at --- --- 1 - up 393 LN only --- 0.007695 6.373955 0.11733 2.480287 zinc finger protein 1438742_at 320683 Zfp629 1 - up 393 LN only 629 0.002644 5.231855 0.38124 2.377016 phospholipase A2, 1426019_at 18786 Plaa 1 - up 393 LN only activating protein 0.008657 6.2364 0.12336 2.262117 1445314_at 14009 Etv1 1 - up 393 LN only ets variant gene 1 0.007224 3.643646 0.36434 2.01989 ciliary rootlet coiled- 1427338_at 230872 Crocc 1 - up 393 LN only coil, rootletin 0.002482 7.783242 0.49977 1.794171 expressed sequence 1436585_at 99463 BB182297 1 - up 393 -
Screening for Intergenic Haplotype Stuctures Within Given Functional
bioRxiv preprint doi: https://doi.org/10.1101/248047; this version posted February 2, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Haplotypes associated to gene expression in breast cancer: can they lead us to the susceptibility markers? Hege Edvardsen1,2, Bettina Kulle3, Anya Tsalenko4, Grethe Irene Grenaker Alnæs1, Fredrik Ekeberg Johansen1, Espen Enerly1,2, Aditya Vailaya4, Per-Eystein Lønning5, Åslaug Helland6, Ann-Christine Syvänen7, Zohar Yakhini4, Anne-Lise Børresen-Dale1,2, Arnoldo Frigessi3 and Vessela N. Kristensen1 1 Department of Genetics, Institute for Cancer Research, Rikshospitalet-Radiumhospitalet Medical Center, Oslo, Norway, 2 Medical Faculty, University of Oslo, Oslo, Norway, 3 Department of Biostatistics, University of Oslo, Norway, 4 Agilent Technologies, Santa Clara, CA, USA, 5 Department of Oncology, Haukeland Hospital, Bergen, Norway, 6 Department Medical Oncology and Radiotherapy, Rikshospitalet-Radiumhospitalet Medical Center, Oslo, Norway, 7 Department of Medical Sciences, University of Uppsala, Uppsala, Sweden Correspondence should be addressed to: Vessela N. Kristensen Department of Cancer Genetics Institute for Cancer Research Oslo University Hospital, Radiumhospitalet Montebello 0310 Oslo Norway e-mail: [email protected] Running title: Screening for Intergenic Haplotype Structures within Given Functional Pathways Keywords: haplotypes, breast cancer, Gene ontology analysis, Phase, R bioRxiv preprint doi: https://doi.org/10.1101/248047; this version posted February 2, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract We have undertaken a systematic haplotype analysis of the positional type of biclusters analysing samples collected from 164 breast cancer patients and 86 women with no known history of breast cancer.