Histone Variant H2A.J Accumulates in Senescent Cells and Promotes Inflammatory Gene Expression
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Histone Isoform H2A1H Promotes Attainment of Distinct Physiological
Bhattacharya et al. Epigenetics & Chromatin (2017) 10:48 DOI 10.1186/s13072-017-0155-z Epigenetics & Chromatin RESEARCH Open Access Histone isoform H2A1H promotes attainment of distinct physiological states by altering chromatin dynamics Saikat Bhattacharya1,4,6, Divya Reddy1,4, Vinod Jani5†, Nikhil Gadewal3†, Sanket Shah1,4, Raja Reddy2,4, Kakoli Bose2,4, Uddhavesh Sonavane5, Rajendra Joshi5 and Sanjay Gupta1,4* Abstract Background: The distinct functional efects of the replication-dependent histone H2A isoforms have been dem- onstrated; however, the mechanistic basis of the non-redundancy remains unclear. Here, we have investigated the specifc functional contribution of the histone H2A isoform H2A1H, which difers from another isoform H2A2A3 in the identity of only three amino acids. Results: H2A1H exhibits varied expression levels in diferent normal tissues and human cancer cell lines (H2A1C in humans). It also promotes cell proliferation in a context-dependent manner when exogenously overexpressed. To uncover the molecular basis of the non-redundancy, equilibrium unfolding of recombinant H2A1H-H2B dimer was performed. We found that the M51L alteration at the H2A–H2B dimer interface decreases the temperature of melting of H2A1H-H2B by ~ 3 °C as compared to the H2A2A3-H2B dimer. This diference in the dimer stability is also refected in the chromatin dynamics as H2A1H-containing nucleosomes are more stable owing to M51L and K99R substitu- tions. Molecular dynamic simulations suggest that these substitutions increase the number of hydrogen bonds and hydrophobic interactions of H2A1H, enabling it to form more stable nucleosomes. Conclusion: We show that the M51L and K99R substitutions, besides altering the stability of histone–histone and histone–DNA complexes, have the most prominent efect on cell proliferation, suggesting that the nucleosome sta- bility is intimately linked with the physiological efects observed. -
Environmental Influences on Endothelial Gene Expression
ENDOTHELIAL CELL GENE EXPRESSION John Matthew Jeff Herbert Supervisors: Prof. Roy Bicknell and Dr. Victoria Heath PhD thesis University of Birmingham August 2012 University of Birmingham Research Archive e-theses repository This unpublished thesis/dissertation is copyright of the author and/or third parties. The intellectual property rights of the author or third parties in respect of this work are as defined by The Copyright Designs and Patents Act 1988 or as modified by any successor legislation. Any use made of information contained in this thesis/dissertation must be in accordance with that legislation and must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the permission of the copyright holder. ABSTRACT Tumour angiogenesis is a vital process in the pathology of tumour development and metastasis. Targeting markers of tumour endothelium provide a means of targeted destruction of a tumours oxygen and nutrient supply via destruction of tumour vasculature, which in turn ultimately leads to beneficial consequences to patients. Although current anti -angiogenic and vascular targeting strategies help patients, more potently in combination with chemo therapy, there is still a need for more tumour endothelial marker discoveries as current treatments have cardiovascular and other side effects. For the first time, the analyses of in-vivo biotinylation of an embryonic system is performed to obtain putative vascular targets. Also for the first time, deep sequencing is applied to freshly isolated tumour and normal endothelial cells from lung, colon and bladder tissues for the identification of pan-vascular-targets. Integration of the proteomic, deep sequencing, public cDNA libraries and microarrays, delivers 5,892 putative vascular targets to the science community. -
Repertoire of Morphable Proteins in an Organism
Repertoire of morphable proteins in an organism Keisuke Izumi, Eitaro Saho, Ayuka Kutomi, Fumiaki Tomoike and Tetsuji Okada Department of Life Science, Gakushuin University, Tokyo, Japan ABSTRACT All living organisms have evolved to contain a set of proteins with variable physical and chemical properties. Efforts in the field of structural biology have contributed to uncovering the shape and the variability of each component. However, quantification of the variability has been performed mostly by multiple pair-wise comparisons. A set of experimental coordinates for a given protein can be used to define the “morphness/unmorphness”. To understand the evolved repertoire in an organism, here we show the results of global analysis of more than a thousand Escherichia coli proteins, by the recently introduced method, distance scoring analysis (DSA). By collecting a new index “UnMorphness Factor” (UMF), proposed in this study and determined from DSA for each of the proteins, the lowest and the highest boundaries of the experimentally observable structural variation are comprehensibly defined. The distribution plot of UMFs obtained for E. coli represents the first view of a substantial fraction of non-redundant proteome set of an organism, demonstrating how rigid and flexible components are balanced. The present analysis extends to evaluate the growing data from single particle cryo-electron microscopy, providing valuable information on effective interpretation to structural changes of proteins and the supramolecular complexes. Subjects Biochemistry, Bioinformatics, Biophysics, Molecular Biology Keywords Protein, Structure, Crystallography, cryo-EM, E. coli, Human, PDB, Coordinates Submitted 21 October 2019 Accepted 20 January 2020 INTRODUCTION Published 11 February 2020 Self-replicating (living) species are defined by the presence of a genome that is used to Corresponding author Tetsuji Okada, produce a set of proteins and RNAs. -
Differences for Ectopic Versus Eutopic Cells
556 RBMO VOLUME 39 ISSUE 4 2019 ARTICLE Chemosensitivity and chemoresistance in endometriosis – differences for ectopic versus eutopic cells BIOGRAPHY Andres Salumets is Professor of Reproductive Medicine at the University of Tartu, and Scientific Head at the Competence Centre on Health Technologies, Tartu, Estonia. He has been involved in assisted reproduction for 20 years, first as an embryologist and later as a researcher. His major interests are endometriosis, endometrial biology and implantation. Darja Lavogina1,2,*, Külli Samuel1, Arina Lavrits1,3, Alvin Meltsov1, Deniss Sõritsa1,4,5, Ülle Kadastik6, Maire Peters1,4, Ago Rinken2, Andres Salumets1,4,7, 8 KEY MESSAGE Akt/PKB inhibitor GSK690693, CK2 inhibitor ARC-775, MAPK pathway inhibitor sorafenib, proteasome inhibitor bortezomib, and microtubule-depolymerizing toxin MMAE showed higher cytotoxicity in eutopic cells. In contrast, 10 µmol/l of the anthracycline toxin doxorubicin caused cellular death in ectopic cells more effectively than in eutopic cells, underlining the potential of doxorubicin in endometriosis research. ABSTRACT Research question: Endometriosis is a common gynaecological disease defined by the presence of endometrium-like tissue outside the uterus. This complex disease, often accompanied by severe pain and infertility, causes a significant medical and socioeconomic burden; hence, novel strategies are being sought for the treatment of endometriosis. Here, we set out to explore the cytotoxic effects of a panel of compounds to find toxins with different efficiency in eutopic versus ectopic cells, thus highlighting alterations in the corresponding molecular pathways. Design: The effect on cellular viability of 14 compounds was established in a cohort of paired eutopic and ectopic endometrial stromal cell samples from 11 patients. -
HIST1H2AC Human Shrna Plasmid Kit (Locus ID 8334) Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for TL312444 HIST1H2AC Human shRNA Plasmid Kit (Locus ID 8334) Product data: Product Type: shRNA Plasmids Product Name: HIST1H2AC Human shRNA Plasmid Kit (Locus ID 8334) Locus ID: 8334 Synonyms: dJ221C16.4; H2A/l; H2AFL; HIST1H2AC Vector: pGFP-C-shLenti (TR30023) Format: Lentiviral plasmids Components: HIST1H2AC - Human, 4 unique 29mer shRNA constructs in lentiviral GFP vector(Gene ID = 8334). 5µg purified plasmid DNA per construct Non-effective 29-mer scrambled shRNA cassette in pGFP-C-shLenti Vector, TR30021, included for free. RefSeq: NM_003512, NM_003512.1, NM_003512.2, NM_003512.3, BC085010, BC017379, BC050602, NM_003512.4 Summary: Histones are basic nuclear proteins that are responsible for the nucleosome structure of the chromosomal fiber in eukaryotes. Two molecules of each of the four core histones (H2A, H2B, H3, and H4) form an octamer, around which approximately 146 bp of DNA is wrapped in repeating units, called nucleosomes. The linker histone, H1, interacts with linker DNA between nucleosomes and functions in the compaction of chromatin into higher order structures. This gene is intronless and encodes a replication-dependent histone that is a member of the histone H2A family. Transcripts from this gene lack polyA tails but instead contain a palindromic termination element. This gene is found in the large histone gene cluster on chromosome 6. [provided by RefSeq, Aug 2015] shRNA Design: These shRNA constructs were designed against multiple splice variants at this gene locus. -
Identification of FBXL4 As a Metastasis Associated Gene in Prostate Cancer
Identification of FBXL4 as a Metastasis Associated Gene in Prostate Cancer Elzbieta Stankiewicz1 , Xueying Mao1, D Chas Mangham2 , Lei Xu1, Marc Yeste- Velasco1, Gabrielle Fisher3, Bernard North3, Tracy Chaplin1, Bryan Young4, Yuqin Wang1, Jasmin Kaur Bansal1, Sakunthala Kudahetti1, Lucy Spencer1, Christopher S Foster5, Henrik Moller6, Peter Scardino7, R Tim Oliver1, Jonathan Shamash1, Jack Cuzick3, Colin S Cooper8, Daniel M Berney1,+, Yong-Jie Lu1,+,* 1 Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK 2 The Robert Jones and Agnes Hunt Orthopaedic Hospital, Department of Pathology, Oswestry, Shropshire SY10 7AG, UK 3 Cancer Research UK Centre for Epidemiology, Mathematics and Statistics, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London EC1 6BQ, UK 4 Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK 5 Division of Cellular and Molecular Pathology, University of Liverpool, Liverpool L69 3BX, UK 6 King's College London, Cancer Epidemiology and Population Health, London SE1 9RT, UK 7 Department of Urology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA 1 8 School of Medicine, University of East Anglia, Norwich, NR4 7TJ, UK +These authors contributed equally as senior role *Corresponding author: Yong-Jie Lu, Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, Telephone number: 442078823563, Fax: 442078823884, e-mail address: [email protected] 2 Abstract Prostate cancer is the most common cancer among western men, with a significant mortality and morbidity reported for advanced metastatic disease. Current understanding of metastatic disease is limited due to difficulty of sampling as prostate cancer mainly metastasizes to bone. -
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Supplementary Figure S1. Results of flow cytometry analysis, performed to estimate CD34 positivity, after immunomagnetic separation in two different experiments. As monoclonal antibody for labeling the sample, the fluorescein isothiocyanate (FITC)- conjugated mouse anti-human CD34 MoAb (Mylteni) was used. Briefly, cell samples were incubated in the presence of the indicated MoAbs, at the proper dilution, in PBS containing 5% FCS and 1% Fc receptor (FcR) blocking reagent (Miltenyi) for 30 min at 4 C. Cells were then washed twice, resuspended with PBS and analyzed by a Coulter Epics XL (Coulter Electronics Inc., Hialeah, FL, USA) flow cytometer. only use Non-commercial 1 Supplementary Table S1. Complete list of the datasets used in this study and their sources. GEO Total samples Geo selected GEO accession of used Platform Reference series in series samples samples GSM142565 GSM142566 GSM142567 GSM142568 GSE6146 HG-U133A 14 8 - GSM142569 GSM142571 GSM142572 GSM142574 GSM51391 GSM51392 GSE2666 HG-U133A 36 4 1 GSM51393 GSM51394 only GSM321583 GSE12803 HG-U133A 20 3 GSM321584 2 GSM321585 use Promyelocytes_1 Promyelocytes_2 Promyelocytes_3 Promyelocytes_4 HG-U133A 8 8 3 GSE64282 Promyelocytes_5 Promyelocytes_6 Promyelocytes_7 Promyelocytes_8 Non-commercial 2 Supplementary Table S2. Chromosomal regions up-regulated in CD34+ samples as identified by the LAP procedure with the two-class statistics coded in the PREDA R package and an FDR threshold of 0.5. Functional enrichment analysis has been performed using DAVID (http://david.abcc.ncifcrf.gov/) -
Reconstructing Cell Cycle Pseudo Time-Series Via Single-Cell Transcriptome Data—Supplement
School of Natural Sciences and Mathematics Reconstructing Cell Cycle Pseudo Time-Series Via Single-Cell Transcriptome Data—Supplement UT Dallas Author(s): Michael Q. Zhang Rights: CC BY 4.0 (Attribution) ©2017 The Authors Citation: Liu, Zehua, Huazhe Lou, Kaikun Xie, Hao Wang, et al. 2017. "Reconstructing cell cycle pseudo time-series via single-cell transcriptome data." Nature Communications 8, doi:10.1038/s41467-017-00039-z This document is being made freely available by the Eugene McDermott Library of the University of Texas at Dallas with permission of the copyright owner. All rights are reserved under United States copyright law unless specified otherwise. File name: Supplementary Information Description: Supplementary figures, supplementary tables, supplementary notes, supplementary methods and supplementary references. CCNE1 CCNE1 CCNE1 CCNE1 36 40 32 34 32 35 30 32 28 30 30 28 28 26 24 25 Normalized Expression Normalized Expression Normalized Expression Normalized Expression 26 G1 S G2/M G1 S G2/M G1 S G2/M G1 S G2/M Cell Cycle Stage Cell Cycle Stage Cell Cycle Stage Cell Cycle Stage CCNE1 CCNE1 CCNE1 CCNE1 40 32 40 40 35 30 38 30 30 28 36 25 26 20 20 34 Normalized Expression Normalized Expression Normalized Expression 24 Normalized Expression G1 S G2/M G1 S G2/M G1 S G2/M G1 S G2/M Cell Cycle Stage Cell Cycle Stage Cell Cycle Stage Cell Cycle Stage Supplementary Figure 1 | High stochasticity of single-cell gene expression means, as demonstrated by relative expression levels of gene Ccne1 using the mESC-SMARTer data. For every panel, 20 sample cells were randomly selected for each of the three stages, followed by plotting the mean expression levels at each stage. -
Mutational Landscape of Uterine and Ovarian Carcinosarcomas Implicates Histone Genes in Epithelial–Mesenchymal Transition
Mutational landscape of uterine and ovarian carcinosarcomas implicates histone genes in epithelial–mesenchymal transition Siming Zhaoa,b, Stefania Bellonec, Salvatore Lopezc, Durga Thakrala,b, Carlton Schwabc, Diana P. Englishc, Jonathan Blackc, Emiliano Coccoc, Jungmin Choia,b, Luca Zammataroc, Federica Predolinic, Elena Bonazzolic, Mark Bia,b, Natalia Buzad, Pei Huid, Serena Wongd, Maysa Abu-Khalafe, Antonella Ravaggif, Eliana Bignottif, Elisabetta Bandieraf, Chiara Romanif, Paola Todeschinif, Renata Tassif, Laura Zanottif, Franco Odicinof, Sergio Pecorellif, Carla Donzellig, Laura Ardighierig, Fabio Facchettig, Marcella Falchettig, Dan-Arin Silasic, Elena Ratnerc, Masoud Azodic, Peter E. Schwartzc, Shrikant Manea,b, Roberto Angiolih, Corrado Terranovah, Charles Matthew Quicki, Babak Edrakij, Kaya Bilgüvara,b, Moses Leek, Murim Choik, Amy L. Stieglerl, Titus J. Boggonl, Joseph Schlessingerl, Richard P. Liftona,b,m,1, and Alessandro D. Santinc aDepartment of Genetics, Yale University School of Medicine, New Haven, CT 06510; bHoward Hughes Medical Institute, Yale University School of Medicine, New Haven, CT 06510; cDepartment of Obstetrics, Gynecology & Reproductive Sciences, Yale University School of Medicine, New Haven, CT 06510; dDepartment of Pathology, Yale University School of Medicine, New Haven, CT 06510; eInternal Medicine & Oncology, Yale University School of Medicine, New Haven, CT 06510; f“Angelo Nocivelli” Institute of Molecular Medicine, Department of Obstetrics & Gynecology, University of Brescia, 25100 Brescia, Italy; -
Exploring the Relationship Between Gut Microbiota and Major Depressive Disorders
E3S Web of Conferences 271, 03055 (2021) https://doi.org/10.1051/e3sconf/202127103055 ICEPE 2021 Exploring the Relationship between Gut Microbiota and Major Depressive Disorders Catherine Tian1 1Shanghai American School, Shanghai, China Abstract. Major Depressive Disorder (MDD) is a psychiatric disorder accompanied with a high rate of suicide, morbidity and mortality. With the symptom of an increasing or decreasing appetite, there is a possibility that MDD may have certain connections with gut microbiota, the colonies of microbes which reside in the human digestive system. In recent years, more and more studies started to demonstrate the links between MDD and gut microbiota from animal disease models and human metabolism studies. However, this relationship is still largely understudied, but it is very innovative since functional dissection of this relationship would furnish a new train of thought for more effective treatment of MDD. In this study, by using multiple genetic analytic tools including Allen Brain Atlas, genetic function analytical tools, and MicrobiomeAnalyst, I explored the genes that shows both expression in the brain and the digestive system to affirm that there is a connection between gut microbiota and the MDD. My approach finally identified 7 MDD genes likely to be associated with gut microbiota, implicating 3 molecular pathways: (1) Wnt Signaling, (2) citric acid cycle in the aerobic respiration, and (3) extracellular exosome signaling. These findings may shed light on new directions to understand the mechanism of MDD, potentially facilitating the development of probiotics for better psychiatric disorder treatment. 1 Introduction 1.1 Major Depressive Disorder Major Depressive Disorder (MDD) is a mood disorder that will affect the mood, behavior and other physical parts. -
Global Ubiquitylation Analysis of Mitochondria in Primary Neurons
bioRxiv preprint doi: https://doi.org/10.1101/2021.04.01.438131; this version posted April 1, 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-NC 4.0 International license. Global ubiquitylation analysis of mitochondria in primary neurons identifies physiological Parkin targets following activation of PINK1 Odetta Antico1#, Alban Ordureau2#, Michael Stevens1, Francois Singh1, Marek φ Gierlinski3, Erica Barini1 , Mollie L. Rickwood1, Alan Prescott4, Rachel Toth1, Ian G. Ganley1, J. Wade Harper2*, and Miratul M. K. Muqit1* 1MRC Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dundee, United Kingdom, DD1 5EH, U.K. 2Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA 3Data Analysis Group, Division of Computational Biology, School of Life Sciences, University of Dundee, Dundee, United Kingdom, DD1 5EH, U.K. 4Dundee Imaging Facility, School of Life Sciences, University of Dundee, Dundee, United Kingdom, DD1 5EH, U.K #Denotes Equal Contribution φCurrent address: AbbVie Deutschland GmbH & Co, Knollstr, 67061, Ludwigshafen, Germany *Correspondence: [email protected] or [email protected] Keywords Neurons, PINK1, Parkin, ubiquitin, Parkinson’s disease, Mitochondria, Running Title: Ubiquitin analysis of mitochondria in neurons 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.04.01.438131; this version posted April 1, 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. -
Primepcr™Assay Validation Report
PrimePCR™Assay Validation Report Gene Information Gene Name histone cluster 3, H2a Gene Symbol HIST3H2A Organism Human Gene Summary Histones are basic nuclear proteins that are responsible for the nucleosome structure of the chromosomal fiber in eukaryotes. Nucleosomes consist of approximately 146 bp of DNA wrapped around a histone octamer composed of pairs of each of the four core histones (H2A H2B H3 and H4). The chromatin fiber is further compacted through the interaction of a linker histone H1 with the DNA between the nucleosomes to form higher order chromatin structures. This gene is intronless and encodes a member of the histone H2A family. Transcripts from this gene contain a palindromic termination element. Gene Aliases MGC3165 RefSeq Accession No. NC_000001.10, NT_167186.1 UniGene ID Hs.26331 Ensembl Gene ID ENSG00000181218 Entrez Gene ID 92815 Assay Information Unique Assay ID qHsaCED0047450 Assay Type SYBR® Green Detected Coding Transcript(s) ENST00000233840, ENST00000360657, ENST00000259791, ENST00000602637, ENST00000377791, ENST00000377831, ENST00000341023, ENST00000303910, ENST00000359193, ENST00000377459, ENST00000358739, ENST00000333151, ENST00000330180, ENST00000357320, ENST00000359611, ENST00000511601, ENST00000260008, ENST00000369161, ENST00000369159, ENST00000366695, ENST00000543095, ENST00000389961, ENST00000439727, ENST00000583968, ENST00000580456 Amplicon Context Sequence GTGGCTCTCCGTCTTCTTGGGCAGCAGTACGGCCTGGATGTTGGGCAGGACGC CACCCTGCGCGATGGTCACGCGGCCCAGCAGCTTGTTGAGCTCCTCGTCGTTG CGGATGGCCAGCTGCAGGTGGCGCGGGATGATGCGCGTCTTCTTGTTGTCGCG