Histone Peptide Microarray Screen of Chromo and Tudor Domains Defines New Histone Lysine Methylation Interactions Erin K
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` Probing the Epigenome Andrea Huston1, Cheryl H Arrowsmith1,2
` Probing the Epigenome Andrea Huston1, Cheryl H Arrowsmith1,2, Stefan Knapp3,4,*, Matthieu Schapira1,5,* 1. Structural Genomics Consortium, University of Toronto, Toronto, ON M5G 1L7, Canada 2. Princess Margaret Cancer Centre and Department of Medical Biophysics, University of Toronto , Toronto, ON M5G 1L7, Canada 3. Nuffield Department of Clinical Medicine, Target Discovery Institute, and Structural Genomic Consortium, University of Oxford, Headington, Oxford OX3 7DQ, United Kingdom 4. Institute for Pharmaceutical Chemistry, Johann Wolfgang Goethe University, D-60438 Frankfurt am Main, Germany 5. Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON M5S 1A8, Canada * Correspondence: [email protected], [email protected] Epigenetic chemical probes are having a strong impact on biological discovery and target validation. Systematic coverage of emerging epigenetic target classes with these potent, selective, cell-active chemical tools will profoundly influence our understanding of the human biology and pathology of chromatin-templated mechanisms. ` Chemical probes are research-enablers Advances in genomics and proteomics methodologies in recent years have made it possible to associate thousands of genes and proteins with specific diseases, biological processes, molecular networks and pathways. However, data from these large scale initiatives alone has not translated widely into new studies on these disease-associated proteins, and the biomedical research community still tends to focus on proteins that were already known before the sequencing of the human genome1. The human kinome for instance, a target class of direct relevance to cancer and other disease areas, is a telling example: based on the number of research articles indexed in pubmed in 2011, 75% of the research activity focused on only 10% of the 518 human kinases – largely the same kinases that were the focus of research before sequencing of the human genome - while 60% of the kinome, some 300 enzymes, was virtually ignored by the community2. -
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. -
4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
Methods Mice: 4-6 weeks old female C57BL/6 mice obtained from Jackson labs were used for cell isolation. Female Foxp3-IRES-GFP reporter mice (1), backcrossed to B6/C57 background for 10 generations, were used for the isolation of naïve CD4 and naïve CD8 cells for the RNAseq experiments. The mice were housed in pathogen-free animal facility in the La Jolla Institute for Allergy and Immunology and were used according to protocols approved by the Institutional Animal Care and use Committee. Preparation of cells: Subsets of thymocytes were isolated by cell sorting as previously described (2), after cell surface staining using CD4 (GK1.5), CD8 (53-6.7), CD3ε (145- 2C11), CD24 (M1/69) (all from Biolegend). DP cells: CD4+CD8 int/hi; CD4 SP cells: CD4CD3 hi, CD24 int/lo; CD8 SP cells: CD8 int/hi CD4 CD3 hi, CD24 int/lo (Fig S2). Peripheral subsets were isolated after pooling spleen and lymph nodes. T cells were enriched by negative isolation using Dynabeads (Dynabeads untouched mouse T cells, 11413D, Invitrogen). After surface staining for CD4 (GK1.5), CD8 (53-6.7), CD62L (MEL-14), CD25 (PC61) and CD44 (IM7), naïve CD4+CD62L hiCD25-CD44lo and naïve CD8+CD62L hiCD25-CD44lo were obtained by sorting (BD FACS Aria). Additionally, for the RNAseq experiments, CD4 and CD8 naïve cells were isolated by sorting T cells from the Foxp3- IRES-GFP mice: CD4+CD62LhiCD25–CD44lo GFP(FOXP3)– and CD8+CD62LhiCD25– CD44lo GFP(FOXP3)– (antibodies were from Biolegend). In some cases, naïve CD4 cells were cultured in vitro under Th1 or Th2 polarizing conditions (3, 4). -
The Epigenetic Role of PHF20/MOF Histone Acetyltransferase Complex in Lung Cancer
Aus der Klinik für Allgemein-, Viszeral-, Gefäß- und Transplantationschirurgie der Ludwig-Maximilians-Universität München (Direktor: Prof. Dr. med. Jens Werner) The Epigenetic Role of PHF20/MOF Histone Acetyltransferase Complex in Lung Cancer Dissertation zum Erwerb des Doktorgrades der Medizin an der Medizinischen Fakultät der Ludwig-Maximilians-Universität zu München vorgelegt von Xiaoyan Wang Aus Shandong, China 2017 Mit der Genehmigung der Medizinischen Fakultät der Universität München Berichterstatterin: Prof. Dr. med. Christiane J. Bruns Mitberichterstatter: PD Thomas Düll Prof. Wolfgang Zimmermann Mitbetreuung durch den promovierten Mitarbeiter: Dr. rer. nat Yue Zhao Dekan: Prof. Dr. med. dent. Reinhard Hickel Tag der mündlichen Prüfung: 07. 12. 2017 Something attempted, something done. Declaration I hereby declare that the thesis is my original work. The work and data presented in the thesis were performed independently. X-ray crystallography, NMR titration experiments, NMR structure determination, and fluorescence spectroscopy were performed by our collaborator Dr. Brianna J. Klein (Department of Pharmacology, University of Colorado School of Medicine, USA) and Dr. Gaofeng Cui (Department of Biochemistry and Molecular Biology, Mayo Clinic, USA). Parts of the results have been published in the following manuscripts: Klein BJ*, Wang X*, Cui G*, Yuan C, Botuyan MV, Lin K, Lu Y, Wang X, Zhao Y, Bruns CJ, Mer G, Shi X, Kutateladze TG. PHF20 Readers Link Methylation of Histone H3K4 and p53 with H4K16 Acetylation. Cell Rep. 2016 Oct 18;17(4):1158-1170. No unauthorized data were included. Information from the literature was cited and listed in the reference. All the data presented in the thesis will not be used in any other thesis for scientific degree application. -
Figure S17 Figure S16
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Lysine Methylation Regulators Moonlighting Outside the Epigenome Evan Cornett, Laure Ferry, Pierre-Antoine Defossez, Scott Rothbart
Lysine Methylation Regulators Moonlighting outside the Epigenome Evan Cornett, Laure Ferry, Pierre-Antoine Defossez, Scott Rothbart To cite this version: Evan Cornett, Laure Ferry, Pierre-Antoine Defossez, Scott Rothbart. Lysine Methylation Regulators Moonlighting outside the Epigenome. Molecular Cell, Elsevier, 2019, 10.1016/j.molcel.2019.08.026. hal-02359890 HAL Id: hal-02359890 https://hal.archives-ouvertes.fr/hal-02359890 Submitted on 14 Nov 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Lysine methylation regulators moonlighting outside the epigenome Evan M. Cornett1, Laure Ferry2, Pierre-Antoine Defossez2, and Scott B. RothBart1* 1Center for Epigenetics, Van Andel Research Institute, Grand Rapids, MI 49503, USA. 2Université de Paris, Epigenetics and Cell Fate, CNRS, F-75013 Paris, France. *Correspondence: [email protected], 616-234-5367 ABSTRACT Landmark discoveries made nearly two decades ago identified known transcriptional regulators as histone lysine methyltransferases; since then the field of lysine methylation signaling has Been dominated By studies of how this small chemical posttranslational modification regulates gene expression and other chromatin-Based processes. However, recent advances in mass spectrometry-Based proteomics have revealed that histones are just a suBset of the thousands of eukaryotic proteins marked By lysine methylation. -
Gene Networks Activated by Specific Patterns of Action Potentials in Dorsal Root Ganglia Neurons Received: 10 August 2016 Philip R
www.nature.com/scientificreports OPEN Gene networks activated by specific patterns of action potentials in dorsal root ganglia neurons Received: 10 August 2016 Philip R. Lee1,*, Jonathan E. Cohen1,*, Dumitru A. Iacobas2,3, Sanda Iacobas2 & Accepted: 23 January 2017 R. Douglas Fields1 Published: 03 March 2017 Gene regulatory networks underlie the long-term changes in cell specification, growth of synaptic connections, and adaptation that occur throughout neonatal and postnatal life. Here we show that the transcriptional response in neurons is exquisitely sensitive to the temporal nature of action potential firing patterns. Neurons were electrically stimulated with the same number of action potentials, but with different inter-burst intervals. We found that these subtle alterations in the timing of action potential firing differentially regulates hundreds of genes, across many functional categories, through the activation or repression of distinct transcriptional networks. Our results demonstrate that the transcriptional response in neurons to environmental stimuli, coded in the pattern of action potential firing, can be very sensitive to the temporal nature of action potential delivery rather than the intensity of stimulation or the total number of action potentials delivered. These data identify temporal kinetics of action potential firing as critical components regulating intracellular signalling pathways and gene expression in neurons to extracellular cues during early development and throughout life. Adaptation in the nervous system in response to external stimuli requires synthesis of new gene products in order to elicit long lasting changes in processes such as development, response to injury, learning, and memory1. Information in the environment is coded in the pattern of action-potential firing, therefore gene transcription must be regulated by the pattern of neuronal firing. -
The Molecular Balancing Act of P16 in Cancer and Aging
Published OnlineFirst October 17, 2013; DOI: 10.1158/1541-7786.MCR-13-0350 Molecular Cancer Review Research The Molecular Balancing Act of p16INK4a in Cancer and Aging Kyle M. LaPak1 and Christin E. Burd1,2 Abstract p16INK4a, located on chromosome 9p21.3, is lost among a cluster of neighboring tumor suppressor genes. Although it is classically known for its capacity to inhibit cyclin-dependent kinase (CDK) activity, p16INK4a is not just a one-trick pony. Long-term p16INK4a expression pushes cells to enter senescence, an irreversible cell-cycle arrest that precludes the growth of would-be cancer cells but also contributes to cellular aging. Importantly, loss of p16INK4a is one of the most frequent events in human tumors and allows precancerous lesions to bypass senescence. Therefore, precise regulation of p16INK4a is essential to tissue homeostasis, maintaining a coordinated balance between tumor suppression and aging. This review outlines the molecular pathways critical for proper p16INK4a regulation and emphasizes the indispensable functions of p16INK4a in cancer, aging, and human physiology that make this gene special. Mol Cancer Res; 12(2); 1–17. Ó2013 AACR. Introduction frames (ORF) to yield two distinct proteins: p16INK4a and ARF ARF Every day, we depend on our cells to make the right ARF (p14 in humans and p19 in mice). In addition to — CDKN2A,theINK4/ARF locus encodes a third tumor decision to divide or not to divide. Proliferation is essential INK4b for tissue homeostasis, but, when deregulated, it can both suppressor protein, p15 ,justupstreamoftheARF promoter (3). Discovered through homology-based cDNA promote cancer and lead to aging. -
1 DMA-Tudor Interaction Modules Control the Specificity of In
bioRxiv preprint doi: https://doi.org/10.1101/2020.09.15.297994; this version posted September 16, 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. DMA-tudor interaction modules control the specificity of in vivo condensates Edward M. Courchaine1, Andrew E.S. Barentine2,3, Korinna Straube1, Joerg Bewersdorf2,3, Karla M. Neugebauer*1,2 5 1Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 2Cell Biology, Yale University, New Haven, CT 3Biomedical Engineering, Yale University, New Haven, CT 10 *Correspondence to: [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.09.15.297994; this version posted September 16, 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. Summary: Biomolecular condensation is a widespread mechanism of cellular compartmentalization. Because the ‘survival of motor neuron protein’ (SMN) is required for the formation of three different 15 membraneless organelles (MLOs), we hypothesized that at least one region of SMN employs a unifying mechanism of condensation. Unexpectedly, we show here that SMN’s globular tudor domain was sufficient for dimerization-induced condensation in vivo, while its two intrinsically disordered regions (IDRs) were not. The condensate-forming property of the SMN tudor domain required binding to its ligand, dimethylarginine (DMA), and was shared by at least seven 20 additional tudor domains in six different proteins. -
PDF Output of CLIC (Clustering by Inferred Co-Expression)
PDF Output of CLIC (clustering by inferred co-expression) Dataset: Num of genes in input gene set: 8 Total number of genes: 16493 CLIC PDF output has three sections: 1) Overview of Co-Expression Modules (CEMs) Heatmap shows pairwise correlations between all genes in the input query gene set. Red lines shows the partition of input genes into CEMs, ordered by CEM strength. Each row shows one gene, and the brightness of squares indicates its correlations with other genes. Gene symbols are shown at left side and on the top of the heatmap. 2) Details of each CEM and its expansion CEM+ Top panel shows the posterior selection probability (dataset weights) for top GEO series datasets. Bottom panel shows the CEM genes (blue rows) as well as expanded CEM+ genes (green rows). Each column is one GEO series dataset, sorted by their posterior probability of being selected. The brightness of squares indicates the gene's correlations with CEM genes in the corresponding dataset. CEM+ includes genes that co-express with CEM genes in high-weight datasets, measured by LLR score. 3) Details of each GEO series dataset and its expression profile: Top panel shows the detailed information (e.g. title, summary) for the GEO series dataset. Bottom panel shows the background distribution and the expression profile for CEM genes in this dataset. Overview of Co-Expression Modules (CEMs) with Dataset Weighting Scale of average Pearson correlations Num of Genes in Query Geneset: 8. Num of CEMs: 1. 0.0 0.2 0.4 0.6 0.8 1.0 Dync2li1 Pkd2 Ift88 Dync2h1 Gli2 Pkd1 Ift46 Pafah1b1 -
Antibodies for Epigenetics and Gene Regulation Enabling Epigenetics Research
antibodies for epigenetics and gene regulation Enabling Epigenetics Research 3 Chromatin Modifiers DNA Methylation Histones Transcription Regulation Highly Characterized Antibodies for Epigenetics and Gene Regulation At Active Motif, we are committed to providing the highest- polyclonal and AbFlex® recombinant antibodies are quality antibodies for studying epigenetics in the context validated for the applications you need – chromatin of histone and DNA modifications. Our antibodies are immunoprecipitation (ChIP), ChIP-Seq, Western blot, and manufactured in-house, and undergo rigorous development Immunofluorescence. and validation procedures to ensure their quality and To browse our complete list of antibodies and application performance. Our extensive, novel portfolio of monoclonal, data, please visit www.activemotif.com/abs. AbFlex® Recombinant Antibodies uniquely designed for multiple labeling methods AbFlex® antibodies are recombinant antibodies (rAbs) purification systems, and that have been generated using defined DNA sequences an avidin tag sequence to produce highly specific, reproducible antibodies. The for enzymatic biotin unique advantages of the AbFlex® antibody are its flexible conjugation using the biotin labeling and purification options. Each AbFlex® antibody ligase, BirA. contains a Sortase recognition motif (LPXTG) to covalently add fluorophores, enzymatic substrates (e.g., HRP), AbFlex is available for a peptides, DNA, drugs, or other labels to the antibody in range of Histone Markers, a directed and reproducible manner. -
Genesdev19560 1..6
Downloaded from genesdev.cshlp.org on October 1, 2021 - Published by Cold Spring Harbor Laboratory Press RESEARCH COMMUNICATION Vasileva et al. 2009; Wang et al. 2009; Siomi et al. 2010). Structural basis for In Drosophila, the Piwi family protein Aub is symmetri- methylarginine-dependent cally dimethylated at Arg11, Arg13, and Arg15, and loss of methylation at these sites disrupts the interaction with recognition of Aubergine the maternal effect protein Tud and reduces association with piRNA (Kirino et al. 2009, 2010; Nishida et al. 2009). by Tudor However, a mechanistic understanding of methylargi- Haiping Liu,1,2,6 Ju-Yu S. Wang,3,6 Ying Huang,3,4,6,7 nine-dependent Tud–Aub interaction is lacking. At present, no structure of any protein in complex with a symmetric Zhizhong Li,3 Weimin Gong,1 Ruth Lehmann,3,4,5,9 1,8 dimethylation of arginine (sDMA)-modified protein/peptide and Rui-Ming Xu has been reported. The best characterized sDMA–Tudor interaction to date is the binding of sDMA-modified spli- 1National Laboratory of Biomacromolecules, Institute of ceosomal Sm proteins by the Tudor domain of Survival Biophysics, Chinese Academy of Sciences, Beijing 100101, Motor Neuron (SMN) (Brahms et al. 2001; Friesen et al. People’s Republic of China; 2Graduate University of Chinese 2001; Sprangers et al. 2003), although an understanding of Academy of Sciences, Beijing 100049, People’s Republic of their binding mode in atomic resolution details is still China; 3The Helen L. and Martin S. Kimmel Center for Biology lacking. Interestingly, several Tudor domains have been and Medicine, Skirball Institute of Biomolecular Medicine, New shown to bind histone tails with methylated lysine resi- York University School of Medicine, New York, New York dues, and an understanding of the structural basis for 10016, USA; 4Howard Hughes Medical Institute, New York methyllysine recognition by Tudor domains has been de- University School of Medicine, New York, New York 10016, veloped (Botuyan et al.