Structure, Activity and Function of the SETDB1 Protein Methyltransferase
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Structure of the Tripartite Motif of KAP1/TRIM28 Identifies Molecular Interfaces Required for Transcriptional Silencing of Retrotransposons
bioRxiv preprint doi: https://doi.org/10.1101/505677; this version posted December 25, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. Structure of the tripartite motif of KAP1/TRIM28 identifies molecular interfaces required for transcriptional silencing of retrotransposons Guido A. Stoll1, Shun-ichiro Oda1, Zheng-Shan Chong1, Minmin Yu2, Stephen H. McLaughlin2 and Yorgo Modis1,* 1 Molecular Immunity Unit, Department of Medicine, University of Cambridge, MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge, CB2 0QH, UK 2 MRC Laboratory oF Molecular Biology, Cambridge Biomedical Campus, Cambridge, CB2 0QH, UK * Correspondence: [email protected] (Y.M.) Abstract Transcription oF transposable elements is tightly regulated to prevent damage to the genome. The family of KRAB domain-containing zinc Finger proteins (KRAB-ZFPs) and KRAB-associated protein 1 (KAP1/TRIM28) play a key role in regulating retrotransposons. KRAB-ZFPs recognize speciFic retrotransposon sequences and recruit KAP1, which controls the assembly of an epigenetic silencing complex including histone H3K9 methyltransferase SETDB1. The chromatin remodeling activities of this complex repress transcription of the targeted transposable element and any adjacent genes. Here, we use biophysical and structural approaches to show that the tripartite motif (TRIM) of KAP1 Forms antiparallel dimers, which Further assemble into tetramers and higher-order oligomers in a concentration-dependent manner. Structure-based mutations in the B-box 1 domain prevented higher-order oligomerization without a signiFicant loss oF retrotransposon silencing activity in a cell-based assay, indicating that, in contrast to other TRIM family members, selF-assembly is not essential For the function of KAP1. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Gene Expression Profile in Different Age Groups and Its Association With
cells Article Gene Expression Profile in Different Age Groups and Its Association with Cognitive Function in Healthy Malay Adults in Malaysia Nur Fathiah Abdul Sani 1 , Ahmad Imran Zaydi Amir Hamzah 1, Zulzikry Hafiz Abu Bakar 1 , Yasmin Anum Mohd Yusof 2, Suzana Makpol 1 , Wan Zurinah Wan Ngah 1 and Hanafi Ahmad Damanhuri 1,* 1 Department of Biochemistry, Faculty of Medicine, Universiti Kebangsaan Malaysia Medical Center, Jalan Yaacob Latif, Cheras, Kuala Lumpur 56000, Malaysia; [email protected] (N.F.A.S.); [email protected] (A.I.Z.A.H.); zulzikryhafi[email protected] (Z.H.A.B.); [email protected] (S.M.); [email protected] (W.Z.W.N.) 2 Faculty of Medicine and Defence Health, National Defence University of Malaysia, Kem Sungai Besi, Kuala Lumpur 57000, Malaysia; [email protected] * Correspondence: hanafi[email protected] Abstract: The mechanism of cognitive aging at the molecular level is complex and not well under- stood. Growing evidence suggests that cognitive differences might also be caused by ethnicity. Thus, this study aims to determine the gene expression changes associated with age-related cognitive decline among Malay adults in Malaysia. A cross-sectional study was conducted on 160 healthy Malay subjects, aged between 28 and 79, and recruited around Selangor and Klang Valley, Malaysia. Citation: Abdul Sani, N.F.; Amir Gene expression analysis was performed using a HumanHT-12v4.0 Expression BeadChip microarray Hamzah, A.I.Z.; Abu Bakar, Z.H.; kit. The top 20 differentially expressed genes at p < 0.05 and fold change (FC) = 1.2 showed that Mohd Yusof, Y.A.; Makpol, S.; Wan PAFAH1B3, HIST1H1E, KCNA3, TM7SF2, RGS1, and TGFBRAP1 were regulated with increased Ngah, W.Z.; Damanhuri, H.A. -
Transcriptome Analyses of Tumor-Adjacent Somatic Tissues Reveal Genes Co-Expressed with Transposable Elements Nicky Chung1†, G
Chung et al. Mobile DNA (2019) 10:39 https://doi.org/10.1186/s13100-019-0180-5 RESEARCH Open Access Transcriptome analyses of tumor-adjacent somatic tissues reveal genes co-expressed with transposable elements Nicky Chung1†, G. M. Jonaid1†, Sophia Quinton1†, Austin Ross1†, Corinne E. Sexton1, Adrian Alberto2, Cody Clymer2, Daphnie Churchill2, Omar Navarro Leija 2 and Mira V. Han1,3* Abstract Background: Despite the long-held assumption that transposons are normally only expressed in the germ-line, recent evidence shows that transcripts of transposable element (TE) sequences are frequently found in the somatic cells. However, the extent of variation in TE transcript levels across different tissues and different individuals are unknown, and the co-expression between TEs and host gene mRNAs have not been examined. Results: Here we report the variation in TE derived transcript levels across tissues and between individuals observed in the non-tumorous tissues collected for The Cancer Genome Atlas. We found core TE co-expression modules consisting mainly of transposons, showing correlated expression across broad classes of TEs. Despite this co-expression within tissues, there are individual TE loci that exhibit tissue-specific expression patterns, when compared across tissues. The core TE modules were negatively correlated with other gene modules that consisted of immune response genes in interferon signaling. KRAB Zinc Finger Proteins (KZFPs) were over-represented gene members of the TE modules, showing positive correlation across multiple tissues. But we did not find overlap between TE-KZFP pairs that are co-expressed and TE-KZFP pairs that are bound in published ChIP-seq studies. -
Revealing Transcription Factor and Histone Modification Co-Localization and Dynamics Across Cell Lines by Integrating Chip-Seq A
Zhang et al. BMC Genomics 2018, 19(Suppl 10):914 https://doi.org/10.1186/s12864-018-5278-5 RESEARCH Open Access Revealing transcription factor and histone modification co-localization and dynamics across cell lines by integrating ChIP-seq and RNA-seq data Lirong Zhang1*, Gaogao Xue1, Junjie Liu1, Qianzhong Li1* and Yong Wang2,3,4* From 29th International Conference on Genome Informatics Yunnan, China. 3-5 December 2018 Abstract Background: Interactions among transcription factors (TFs) and histone modifications (HMs) play an important role in the precise regulation of gene expression. The context specificity of those interactions and further its dynamics in normal and disease remains largely unknown. Recent development in genomics technology enables transcription profiling by RNA-seq and protein’s binding profiling by ChIP-seq. Integrative analysis of the two types of data allows us to investigate TFs and HMs interactions both from the genome co-localization and downstream target gene expression. Results: We propose a integrative pipeline to explore the co-localization of 55 TFs and 11 HMs and its dynamics in human GM12878 and K562 by matched ChIP-seq and RNA-seq data from ENCODE. We classify TFs and HMs into three types based on their binding enrichment around transcription start site (TSS). Then a set of statistical indexes are proposed to characterize the TF-TF and TF-HM co-localizations. We found that Rad21, SMC3, and CTCF co-localized across five cell lines. High resolution Hi-C data in GM12878 shows that they associate most of the Hi-C peak loci with a specific CTCF-motif “anchor” and supports that CTCF, SMC3, and RAD2 co-localization serves important role in 3D chromatin structure. -
Integration of 198 Chip-Seq Datasets Reveals Human Cis-Regulatory Regions
Integration of 198 ChIP-seq datasets reveals human cis-regulatory regions Hamid Bolouri & Larry Ruzzo Thanks to Stephen Tapscott, Steven Henikoff & Zizhen Yao Slides will be available from: http://labs.fhcrc.org/bolouri/ Email [email protected] for manuscript (Bolouri & Ruzzo, submitted) Kleinjan & van Heyningen, Am. J. Hum. Genet., 2005, (76)8–32 Epstein, Briefings in Func. Genom. & Protemoics, 2009, 8(4)310-16 Regulation of SPi1 (Sfpi1, PU.1 protein) expression – part 1 miR155*, miR569# ~750nt promoter ~250nt promoter The antisense RNA • causes translational stalling • has its own promoter • requires distal SPI1 enhancer • is transcribed with/without SPI1. # Hikami et al, Arthritis & Rheumatism, 2011, 63(3):755–763 * Vigorito et al, 2007, Immunity 27, 847–859 Ebralidze et al, Genes & Development, 2008, 22: 2085-2092. Regulation of SPi1 expression – part 2 (mouse coordinates) Bidirectional ncRNA transcription proportional to PU.1 expression PU.1/ELF1/FLI1/GLI1 GATA1 GATA1 Sox4/TCF/LEF PU.1 RUNX1 SP1 RUNX1 RUNX1 SP1 ELF1 NF-kB SATB1 IKAROS PU.1 cJun/CEBP OCT1 cJun/CEBP 500b 500b 500b 500b 500b 750b 500b -18Kb -14Kb -12Kb -10Kb -9Kb Chou et al, Blood, 2009, 114: 983-994 Hoogenkamp et al, Molecular & Cellular Biology, 2007, 27(21):7425-7438 Zarnegar & Rothenberg, 2010, Mol. & cell Biol. 4922-4939 An NF-kB binding-site variant in the SPI1 URE reduces PU.1 expression & is GGGCCTCCCC correlated with AML GGGTCTTCCC Bonadies et al, Oncogene, 2009, 29(7):1062-72. SATB1 binding site A distal single nucleotide polymorphism alters long- range regulation of the PU.1 gene in acute myeloid leukemia Steidl et al, J Clin Invest. -
EVALUATION of BMP2/Mirna CO-EXPRESSION SYSTEMS for POTENT THERAPEUTIC EFFICACY in BONE-TISSUE REGENERATION
EuropeanTK Brenner Cells et al. and Materials Vol. 41 2021 (pages 245-268) DOI: Non-viral 10.22203/eCM.v041a18 BMP2/miRNA co-expression ISSN 1473-2262 systems EVALUATION OF BMP2/miRNA CO-EXPRESSION SYSTEMS FOR POTENT THERAPEUTIC EFFICACY IN BONE-TISSUE REGENERATION T.K. Brenner1,§, K. Posa-Markaryan1,§, D. Hercher1,4, S. Sperger1,4, P. Heimel1,4, C. Keibl1, S. Nürnberger1,2,3,4, J. Grillari1,4,5, H. Redl1,4 and A. Hacobian1,4,* 1 Ludwig Boltzmann Institute for Experimental and Clinical Traumatology/AUVA Research Centre, The Austrian Cluster for Tissue Regeneration, European Institute of Excellence on Tissue Engineering and Regenerative Medicine Research (Expertissues EEIG), Donaueschingenstrasse 13, 1200 Vienna, Austria 2 Department of Orthopaedics and Trauma-Surgery, Division of Trauma-Surgery, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria 3 University Clinic of Dentistry, Medical University of Vienna, Sensengasse 2a, 1090 Vienna, Austria 4 Austrian Cluster for Tissue Engineering 5 Institute for Molecular Biotechnology, Department of Biotechnology, BOKU – University of Natural Resources and Life Sciences, Vienna, Austria § These authors contributed equally to this work Abstract Reconstruction of bone defects and compensation of deficient repair mechanisms represent important goals within the field of regenerative medicine and require novel safe strategies for translation into the clinic. A non-viral osteogenic gene therapeutic vector system (‘hybrid vectors’) was generated, combining an improved bone morphogenetic protein 2 (BMP2) gene cassette and single pro-osteogenic microRNAs (miR-148b-3p, miR-20-5p, miR-590b-5p), driven by the U6 promoter. The vectors were tested in vitro for their osteogenic differentiation potential in C2C12 and C3H/10T1/2 cell lines, usingBMP2 alone as a control. -
Figure S1. HAEC ROS Production and ML090 NOX5-Inhibition
Figure S1. HAEC ROS production and ML090 NOX5-inhibition. (a) Extracellular H2O2 production in HAEC treated with ML090 at different concentrations and 24 h after being infected with GFP and NOX5-β adenoviruses (MOI 100). **p< 0.01, and ****p< 0.0001 vs control NOX5-β-infected cells (ML090, 0 nM). Results expressed as mean ± SEM. Fold increase vs GFP-infected cells with 0 nM of ML090. n= 6. (b) NOX5-β overexpression and DHE oxidation in HAEC. Representative images from three experiments are shown. Intracellular superoxide anion production of HAEC 24 h after infection with GFP and NOX5-β adenoviruses at different MOIs treated or not with ML090 (10 nM). MOI: Multiplicity of infection. Figure S2. Ontology analysis of HAEC infected with NOX5-β. Ontology analysis shows that the response to unfolded protein is the most relevant. Figure S3. UPR mRNA expression in heart of infarcted transgenic mice. n= 12-13. Results expressed as mean ± SEM. Table S1: Altered gene expression due to NOX5-β expression at 12 h (bold, highlighted in yellow). N12hvsG12h N18hvsG18h N24hvsG24h GeneName GeneDescription TranscriptID logFC p-value logFC p-value logFC p-value family with sequence similarity NM_052966 1.45 1.20E-17 2.44 3.27E-19 2.96 6.24E-21 FAM129A 129. member A DnaJ (Hsp40) homolog. NM_001130182 2.19 9.83E-20 2.94 2.90E-19 3.01 1.68E-19 DNAJA4 subfamily A. member 4 phorbol-12-myristate-13-acetate- NM_021127 0.93 1.84E-12 2.41 1.32E-17 2.69 1.43E-18 PMAIP1 induced protein 1 E2F7 E2F transcription factor 7 NM_203394 0.71 8.35E-11 2.20 2.21E-17 2.48 1.84E-18 DnaJ (Hsp40) homolog. -
Virtual Chip-Seq: Predicting Transcription Factor Binding
bioRxiv preprint doi: https://doi.org/10.1101/168419; this version posted March 12, 2019. 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. 1 Virtual ChIP-seq: predicting transcription factor binding 2 by learning from the transcriptome 1,2,3 1,2,3,4,5 3 Mehran Karimzadeh and Michael M. Hoffman 1 4 Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada 2 5 Princess Margaret Cancer Centre, Toronto, ON, Canada 3 6 Vector Institute, Toronto, ON, Canada 4 7 Department of Computer Science, University of Toronto, Toronto, ON, Canada 5 8 Lead contact: michael.hoff[email protected] 9 March 8, 2019 10 Abstract 11 Motivation: 12 Identifying transcription factor binding sites is the first step in pinpointing non-coding mutations 13 that disrupt the regulatory function of transcription factors and promote disease. ChIP-seq is 14 the most common method for identifying binding sites, but performing it on patient samples is 15 hampered by the amount of available biological material and the cost of the experiment. Existing 16 methods for computational prediction of regulatory elements primarily predict binding in genomic 17 regions with sequence similarity to known transcription factor sequence preferences. This has limited 18 efficacy since most binding sites do not resemble known transcription factor sequence motifs, and 19 many transcription factors are not even sequence-specific. 20 Results: 21 We developed Virtual ChIP-seq, which predicts binding of individual transcription factors in new 22 cell types using an artificial neural network that integrates ChIP-seq results from other cell types 23 and chromatin accessibility data in the new cell type. -
Human Induced Pluripotent Stem Cell–Derived Podocytes Mature Into Vascularized Glomeruli Upon Experimental Transplantation
BASIC RESEARCH www.jasn.org Human Induced Pluripotent Stem Cell–Derived Podocytes Mature into Vascularized Glomeruli upon Experimental Transplantation † Sazia Sharmin,* Atsuhiro Taguchi,* Yusuke Kaku,* Yasuhiro Yoshimura,* Tomoko Ohmori,* ‡ † ‡ Tetsushi Sakuma, Masashi Mukoyama, Takashi Yamamoto, Hidetake Kurihara,§ and | Ryuichi Nishinakamura* *Department of Kidney Development, Institute of Molecular Embryology and Genetics, and †Department of Nephrology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan; ‡Department of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, Hiroshima, Japan; §Division of Anatomy, Juntendo University School of Medicine, Tokyo, Japan; and |Japan Science and Technology Agency, CREST, Kumamoto, Japan ABSTRACT Glomerular podocytes express proteins, such as nephrin, that constitute the slit diaphragm, thereby contributing to the filtration process in the kidney. Glomerular development has been analyzed mainly in mice, whereas analysis of human kidney development has been minimal because of limited access to embryonic kidneys. We previously reported the induction of three-dimensional primordial glomeruli from human induced pluripotent stem (iPS) cells. Here, using transcription activator–like effector nuclease-mediated homologous recombination, we generated human iPS cell lines that express green fluorescent protein (GFP) in the NPHS1 locus, which encodes nephrin, and we show that GFP expression facilitated accurate visualization of nephrin-positive podocyte formation in -
A KAP1 Phosphorylation Switch Controls Myod Function During Skeletal Muscle Differentiation
Downloaded from genesdev.cshlp.org on October 2, 2021 - Published by Cold Spring Harbor Laboratory Press A KAP1 phosphorylation switch controls MyoD function during skeletal muscle differentiation Kulwant Singh,1,5 Marco Cassano,2,5 Evarist Planet,2 Soji Sebastian,1 Suk Min Jang,2 Gurjeev Sohi,1 Herve Faralli,1 Jinmi Choi,3 Hong-Duk Youn,3 F. Jeffrey Dilworth,1,4 and Didier Trono2 1Sprott Center for Stem Cell Research, Ottawa Hospital Research Institute, Ottawa, Ontario K1H 8L6, Canada; 2School of Life Sciences, Ecole Polytechnique Fed erale de Lausanne (EPFL), 1015 Lausanne, Switzerland; 3Department of Biomedical Sciences and Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul 110-799, Korea; 4Department of Cellular and Molecular Medicine, University of Ottawa, Ontario K1H 8L6, Canada The transcriptional activator MyoD serves as a master controller of myogenesis. Often in partnership with Mef2 (myocyte enhancer factor 2), MyoD binds to the promoters of hundreds of muscle genes in proliferating myoblasts yet activates these targets only upon receiving cues that launch differentiation. What regulates this off/on switch of MyoD function has been incompletely understood, although it is known to reflect the action of chromatin modifiers. Here, we identify KAP1 (KRAB [Kruppel-like€ associated box]-associated protein 1)/TRIM28 (tripartite motif protein 28) as a key regulator of MyoD function. In myoblasts, KAP1 is present with MyoD and Mef2 at many muscle genes, where it acts as a scaffold to recruit not only coactivators such as p300 and LSD1 but also corepressors such as G9a and HDAC1 (histone deacetylase 1), with promoter silencing as the net outcome. -
Hippocampal Dysfunction in the Euchromatin Histone Methyltransferase 1 Heterozygous Knockout Mouse Model for Kleefstra Syndrome
Human Molecular Genetics, 2013, Vol. 22, No. 5 852–866 doi:10.1093/hmg/dds490 Advance Access published on November 21, 2012 Hippocampal dysfunction in the Euchromatin histone methyltransferase 1 heterozygous knockout mouse model for Kleefstra syndrome Monique C.M. Balemans1,2, Nael Nadif Kasri3, Maksym V. Kopanitsa5, Nurudeen O. Afinowi5, Ger Ramakers6, Theo A. Peters4, Andy J. Beynon4, Sanne M. Janssen1, Rik C.J. van Summeren1,2, Jorine M. Eeftens1, Nathalie Eikelenboom1, Marco Benevento3, Makoto Tachibana7, Yoichi Shinkai7, Tjitske Kleefstra1, Hans van Bokhoven1,3,∗,{ and Catharina E.E.M. Van der Zee2,∗,{ 1Department of Human Genetics, 2Department of Cell Biology, Nijmegen Centre for Molecular Life Sciences, 3Department of Cognitive Neurosciences, and 4Department of Otorhinolaryngology, Donders Institute for Brain, Downloaded from Cognition and Behavior, Radboud University, Nijmegen Medical Centre, P.O. Box 9101, 6500 HB Nijmegen, the Netherlands 5Synome Ltd, Moneta Building, Babraham Research Campus, Cambridge CB22 3AT, UK, 6Department of Developmental Psychology, University of Amsterdam, Roetersstraat 15, 1018 WB Amsterdam, the Netherlands and 7Experimental Research Center for Infectious Diseases, Institute for Virus Research, Kyoto, University, 53 Shogoin, http://hmg.oxfordjournals.org/ Kawara-cho, Sakyo-ku, Kyoto, Japan Received October 21, 2012; Revised October 21, 2012; Accepted November 15, 2012 Euchromatin histone methyltransferase 1 (EHMT1) is a highly conserved protein that catalyzes mono- and dimethylation of histone H3 lysine 9, thereby epigenetically regulating transcription. Kleefstra syndrome (KS), is caused by haploinsufficiency of the EHMT1 gene, and is an example of an emerging group of intel- lectual disability (ID) disorders caused by genes encoding epigenetic regulators of neuronal gene activity. by guest on March 24, 2016 Little is known about the mechanisms underlying this disorder, prompting us to study the Euchromatin his- tone methyltransferase 1 heterozygous knockout (Ehmt11/2) mice as a model for KS.