Expression and Functionality of Histone H2A2C in the Mammary Epithelium
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Genome-Wide Analysis of 5-Hmc in the Peripheral Blood of Systemic Lupus Erythematosus Patients Using an Hmedip-Chip
INTERNATIONAL JOURNAL OF MOLECULAR MEDICINE 35: 1467-1479, 2015 Genome-wide analysis of 5-hmC in the peripheral blood of systemic lupus erythematosus patients using an hMeDIP-chip WEIGUO SUI1*, QIUPEI TAN1*, MING YANG1, QIANG YAN1, HUA LIN1, MINGLIN OU1, WEN XUE1, JIEJING CHEN1, TONGXIANG ZOU1, HUANYUN JING1, LI GUO1, CUIHUI CAO1, YUFENG SUN1, ZHENZHEN CUI1 and YONG DAI2 1Guangxi Key Laboratory of Metabolic Diseases Research, Central Laboratory of Guilin 181st Hospital, Guilin, Guangxi 541002; 2Clinical Medical Research Center, the Second Clinical Medical College of Jinan University (Shenzhen People's Hospital), Shenzhen, Guangdong 518020, P.R. China Received July 9, 2014; Accepted February 27, 2015 DOI: 10.3892/ijmm.2015.2149 Abstract. Systemic lupus erythematosus (SLE) is a chronic, Introduction potentially fatal systemic autoimmune disease characterized by the production of autoantibodies against a wide range Systemic lupus erythematosus (SLE) is a typical systemic auto- of self-antigens. To investigate the role of the 5-hmC DNA immune disease, involving diffuse connective tissues (1) and modification with regard to the onset of SLE, we compared is characterized by immune inflammation. SLE has a complex the levels 5-hmC between SLE patients and normal controls. pathogenesis (2), involving genetic, immunologic and envi- Whole blood was obtained from patients, and genomic DNA ronmental factors. Thus, it may result in damage to multiple was extracted. Using the hMeDIP-chip analysis and valida- tissues and organs, especially the kidneys (3). SLE arises from tion by quantitative RT-PCR (RT-qPCR), we identified the a combination of heritable and environmental influences. differentially hydroxymethylated regions that are associated Epigenetics, the study of changes in gene expression with SLE. -
Supplementary Materials
Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine -
Literature Mining Sustains and Enhances Knowledge Discovery from Omic Studies
LITERATURE MINING SUSTAINS AND ENHANCES KNOWLEDGE DISCOVERY FROM OMIC STUDIES by Rick Matthew Jordan B.S. Biology, University of Pittsburgh, 1996 M.S. Molecular Biology/Biotechnology, East Carolina University, 2001 M.S. Biomedical Informatics, University of Pittsburgh, 2005 Submitted to the Graduate Faculty of School of Medicine in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Pittsburgh 2016 UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE This dissertation was presented by Rick Matthew Jordan It was defended on December 2, 2015 and approved by Shyam Visweswaran, M.D., Ph.D., Associate Professor Rebecca Jacobson, M.D., M.S., Professor Songjian Lu, Ph.D., Assistant Professor Dissertation Advisor: Vanathi Gopalakrishnan, Ph.D., Associate Professor ii Copyright © by Rick Matthew Jordan 2016 iii LITERATURE MINING SUSTAINS AND ENHANCES KNOWLEDGE DISCOVERY FROM OMIC STUDIES Rick Matthew Jordan, M.S. University of Pittsburgh, 2016 Genomic, proteomic and other experimentally generated data from studies of biological systems aiming to discover disease biomarkers are currently analyzed without sufficient supporting evidence from the literature due to complexities associated with automated processing. Extracting prior knowledge about markers associated with biological sample types and disease states from the literature is tedious, and little research has been performed to understand how to use this knowledge to inform the generation of classification models from ‘omic’ data. Using pathway analysis methods to better understand the underlying biology of complex diseases such as breast and lung cancers is state-of-the-art. However, the problem of how to combine literature- mining evidence with pathway analysis evidence is an open problem in biomedical informatics research. -
An Investigation of 53BP1 in Multiple Myeloma
University of Calgary PRISM: University of Calgary's Digital Repository Graduate Studies The Vault: Electronic Theses and Dissertations 2017 An Investigation of 53BP1 in Multiple Myeloma Simms, Justin Simms, J. (2017). An Investigation of 53BP1 in Multiple Myeloma (Unpublished master's thesis). University of Calgary, Calgary, AB. doi:10.11575/PRISM/24911 http://hdl.handle.net/11023/4002 master thesis University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. Downloaded from PRISM: https://prism.ucalgary.ca UNIVERSITY OF CALGARY An Investigation of 53BP1 in Multiple Myeloma by Justin Andrew Simms A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE GRADUATE PROGRAM IN MEDICAL SCIENCE CALGARY, ALBERTA JULY, 2017 © Justin Andrew Simms 2017 Abstract Currently, multiple myeloma is the second most common hematological malignancy, and as of yet it remains incurable. Although many therapeutic advances have been made in the recent past, there is still room for improvement in the treatment of myeloma. Here, using CRISPR/Cas9 genome editing, we show that a therapeutic combination of proteasome inhibition in combination with PARP inhibition that is in clinical trials depends on the DNA damage response protein 53BP1. These findings contribute to the understanding of the mechanisms behind potential resistance to the combination of proteasome inhibitors with PAPR inhibitors. -
Regulation of DNA Replication-Coupled Histone Gene Expression
www.impactjournals.com/oncotarget/ Oncotarget, 2017, Vol. 8, (No. 55), pp: 95005-95022 Review Regulation of DNA replication-coupled histone gene expression Qianyun Mei1,*, Junhua Huang1,*, Wanping Chen1,2, Jie Tang1, Chen Xu1, Qi Yu1, Ying Cheng1, Lixin Ma1,2, Xilan Yu1,2 and Shanshan Li1,2 1Hubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Hubei Key Laboratory of Industrial Biotechnology, College of Life Sciences, Hubei University, Wuhan, Hubei 430062, China 2Hubei Key Laboratory of Industrial Biotechnology, College of Life Sciences, Hubei University, Wuhan, Hubei 430062, China *These authors have contributed equally to this work Correspondence to: Xilan Yu, email: [email protected] Shanshan Li, email: [email protected] Keywords: DNA replication, histone gene transcription, cell cycle Received: August 08, 2017 Accepted: September 20, 2017 Published: October 16, 2017 Copyright: Mei et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT The expression of core histone genes is cell cycle regulated. Large amounts of histones are required to restore duplicated chromatin during S phase when DNA replication occurs. Over-expression and excess accumulation of histones outside S phase are toxic to cells and therefore cells need to restrict histone expression to S phase. Misregulation of histone gene expression leads to defects in cell cycle progression, genome stability, DNA damage response and transcriptional regulation. Here, we discussed the factors involved in histone gene regulation as well as the underlying mechanism. -
A Mutation in Histone H2B Represents a New Class of Oncogenic Driver
Author Manuscript Published OnlineFirst on July 23, 2019; DOI: 10.1158/2159-8290.CD-19-0393 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. A Mutation in Histone H2B Represents A New Class Of Oncogenic Driver Richard L. Bennett1, Aditya Bele1, Eliza C. Small2, Christine M. Will2, Behnam Nabet3, Jon A. Oyer2, Xiaoxiao Huang1,9, Rajarshi P. Ghosh4, Adrian T. Grzybowski5, Tao Yu6, Qiao Zhang7, Alberto Riva8, Tanmay P. Lele7, George C. Schatz9, Neil L. Kelleher9 Alexander J. Ruthenburg5, Jan Liphardt4 and Jonathan D. Licht1 * 1 Division of Hematology/Oncology, University of Florida Health Cancer Center, Gainesville, FL 2 Division of Hematology/Oncology, Northwestern University 3 Department of Cancer Biology, Dana Farber Cancer Institute and Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School 4 Department of Bioengineering, Stanford University 5 Department of Molecular Genetics and Cell Biology, The University of Chicago 6 Department of Chemistry, Tennessee Technological University 7 Department of Chemical Engineering, University of Florida 8 Bioinformatics Core, Interdisciplinary Center for Biotechnology Research, University of Florida 9 Department of Chemistry, Northwestern University, Evanston IL 60208 Running title: Histone mutations in cancer *Corresponding Author: Jonathan D. Licht, MD The University of Florida Health Cancer Center Cancer and Genetics Research Complex, Suite 145 2033 Mowry Road Gainesville, FL 32610 352-273-8143 [email protected] Disclosures: The authors have no conflicts of interest to declare Downloaded from cancerdiscovery.aacrjournals.org on September 27, 2021. © 2019 American Association for Cancer Research. Author Manuscript Published OnlineFirst on July 23, 2019; DOI: 10.1158/2159-8290.CD-19-0393 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. -
A Genome Wide Screen in C. Elegans Identifies Cell Non-Autonomous Regulators of Oncogenic Ras Mediated Over-Proliferation DISSER
A genome wide screen in C. elegans identifies cell non-autonomous regulators of oncogenic Ras mediated over-proliferation DISSERTATION Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Komal Rambani Graduate Program in Biomedical Sciences The Ohio State University 2016 Dissertation Committee: Gustavo Leone, PhD “Advisor" Helen Chamberlin, PhD Gregory Lesinski, PhD Joanna Groden, PhD Jeffrey Parvin, PhD Thomas Ludwig, PhD Copyright by Komal Rambani 2016 ABSTRACT Coordinated proliferative signals from the mesenchymal cells play a crucial role in the regulation of proliferation of epithelial cells during normal development, wound healing and several other normal physiological conditions. However, when epithelial cells acquire a set of malignant mutations, they respond differently to these extrinsic proliferative signals elicited by the surrounding mesenchymal cells. This scenario leads to a pathological signaling microenvironment that enhances abnormal proliferation of mutant epithelial cells and hence tumor growth. Despite mounting evidence that mesenchymal (stromal) cells influence the growth of tumors and cancer progression, it is unclear which specific genes in the mesenchymal cells regulate the molecular signals that promote the over-proliferation of the adjacent mutant epithelial cells. We hypothesized that there are certain genes in the mesenchymal (stromal) cells that regulate proliferation of the adjacent mutant cells. The complexity of various stromal cell types and their interactions in vivo in cancer mouse models and human tumor samples limits our ability to identify mesenchymal genes important in this process. Thus, we took a cross-species approach to use C. elegans vulval development as a model to understand the impact of mesenchymal (mesodermal) cells on the proliferation of epithelial (epidermal) cells. -
The HIST1 Locus Escapes Reprogramming in Cloned Bovine Embryos
INVESTIGATION The HIST1 Locus Escapes Reprogramming in Cloned Bovine Embryos Byungkuk Min,*,† Sunwha Cho,* Jung Sun Park,* Kyuheum Jeon,*,† and Yong-Kook Kang*,†,1 *Development and Differentiation Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 305-806, South Korea, †Department of Functional Genomics, University of Science and Technology, Daejeon, 305-350, South Korea ORCID ID: 0000-0002-5419-6964 (B.M.) ABSTRACT Epigenetic reprogramming is necessary in somatic cell nuclear transfer (SCNT) embryos in KEYWORDS order to erase the differentiation-associated epigenetic marks of donor cells. However, such epigenetic RNA-seq memories often persist throughout the course of clonal development, thus decreasing cloning efficiency. SCNT Here, we explored reprogramming-refractory regions in bovine SCNT blastocyst transcriptomes. We HIST1 cluster observed that histone genes residing in the 1.5 Mb spanning the cow HIST1 cluster were coordinately reprogramming downregulated in SCNT blastocysts. In contrast, both the nonhistone genes of this cluster, and histone epigenetics genes elsewhere remained unaffected. This indicated that the downregulation was specifictoHIST1 histone HDAC inhibitor genes. We found that, after trichostatin A treatment, HIST1 histone genes were derepressed, and DNA DNA methylation methylation at their promoters was decreased to the level of in vitro fertilization embryos. Therefore, our results indicate that the reduced expression of HIST1 histone genes is a consequence of poor epigenetic reprogramming in SCNT blastocysts. Successful cloning by somatic cell nuclear transfer (SCNT) depends and SCNT blastocysts (Min et al. 2015). Additionally, we also reported onaccuratereprogrammingprocessesinwhichthedifferentiatedstateof features unique to SCNT blastocysts, including consistently aberrant the donor cell genome drifts to a totipotent, embryonic ground state expression of genes that function in either trophectoderm development (Kang et al. -
The Human Canonical Core Histone Catalogue David Miguel Susano Pinto*, Andrew Flaus*,†
bioRxiv preprint doi: https://doi.org/10.1101/720235; this version posted July 30, 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 4.0 International license. The Human Canonical Core Histone Catalogue David Miguel Susano Pinto*, Andrew Flaus*,† Abstract Core histone proteins H2A, H2B, H3, and H4 are encoded by a large family of genes dis- tributed across the human genome. Canonical core histones contribute the majority of proteins to bulk chromatin packaging, and are encoded in 4 clusters by 65 coding genes comprising 17 for H2A, 18 for H2B, 15 for H3, and 15 for H4, along with at least 17 total pseudogenes. The canonical core histone genes display coding variation that gives rise to 11 H2A, 15 H2B, 4 H3, and 2 H4 unique protein isoforms. Although histone proteins are highly conserved overall, these isoforms represent a surprising and seldom recognised variation with amino acid identity as low as 77 % between canonical histone proteins of the same type. The gene sequence and protein isoform diversity also exceeds com- monly used subtype designations such as H2A.1 and H3.1, and exists in parallel with the well-known specialisation of variant histone proteins. RNA sequencing of histone transcripts shows evidence for differential expression of histone genes but the functional significance of this variation has not yet been investigated. To assist understanding of the implications of histone gene and protein diversity we have catalogued the entire human canonical core histone gene and protein complement. -
A Multiprotein Occupancy Map of the Mrnp on the 3 End of Histone
Downloaded from rnajournal.cshlp.org on October 6, 2021 - Published by Cold Spring Harbor Laboratory Press A multiprotein occupancy map of the mRNP on the 3′ end of histone mRNAs LIONEL BROOKS III,1 SHAWN M. LYONS,2 J. MATTHEW MAHONEY,1 JOSHUA D. WELCH,3 ZHONGLE LIU,1 WILLIAM F. MARZLUFF,2 and MICHAEL L. WHITFIELD1 1Department of Genetics, Dartmouth Geisel School of Medicine, Hanover, New Hampshire 03755, USA 2Integrative Program for Biological and Genome Sciences, University of North Carolina, Chapel Hill, North Carolina 27599, USA 3Department of Computer Science, University of North Carolina, Chapel Hill, North Carolina 27599, USA ABSTRACT The animal replication-dependent (RD) histone mRNAs are coordinately regulated with chromosome replication. The RD-histone mRNAs are the only known cellular mRNAs that are not polyadenylated. Instead, the mature transcripts end in a conserved stem– loop (SL) structure. This SL structure interacts with the stem–loop binding protein (SLBP), which is involved in all aspects of RD- histone mRNA metabolism. We used several genomic methods, including high-throughput sequencing of cross-linked immunoprecipitate (HITS-CLIP) to analyze the RNA-binding landscape of SLBP. SLBP was not bound to any RNAs other than histone mRNAs. We performed bioinformatic analyses of the HITS-CLIP data that included (i) clustering genes by sequencing read coverage using CVCA, (ii) mapping the bound RNA fragment termini, and (iii) mapping cross-linking induced mutation sites (CIMS) using CLIP-PyL software. These analyses allowed us to identify specific sites of molecular contact between SLBP and its RD-histone mRNA ligands. We performed in vitro crosslinking assays to refine the CIMS mapping and found that uracils one and three in the loop of the histone mRNA SL preferentially crosslink to SLBP, whereas uracil two in the loop preferentially crosslinks to a separate component, likely the 3′hExo. -
Research Article Common Expression Quantitative Trait Loci Shared by Histone Genes
Hindawi International Journal of Genomics Volume 2017, Article ID 6202567, 14 pages https://doi.org/10.1155/2017/6202567 Research Article Common Expression Quantitative Trait Loci Shared by Histone Genes Hanseol Kim, Yujin Suh, and Chaeyoung Lee Department of Bioinformatics and Life Science, Soongsil University, Seoul, Republic of Korea Correspondence should be addressed to Chaeyoung Lee; [email protected] Received 29 May 2017; Revised 26 July 2017; Accepted 2 August 2017; Published 27 August 2017 Academic Editor: Marco Gerdol Copyright © 2017 Hanseol Kim et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. A genome-wide association study (GWAS) was conducted to examine expression quantitative trait loci (eQTLs) for histone genes. We examined common eQTLs for multiple histone genes in 373 European lymphoblastoid cell lines (LCLs). A linear regression model was employed to identify single-nucleotide polymorphisms (SNPs) associated with expression of the histone genes, and the number of eQTLs was determined by linkage disequilibrium analysis. Additional associations of the identified eQTLs with other genes were also examined. We identified 31 eQTLs for 29 histone genes through genome-wide analysis using 29 histone genes (P <297 × 10−10). Among them, 12 eQTLs were associated with the expression of multiple histone genes. Transcriptome- wide association analysis using the identified eQTLs showed their associations with additional 80 genes (P <475 × 10−6). In particular, expression of RPPH1, SCARNA2, and SCARNA7 genes was associated with 26, 25, and 23 eQTLs, respectively. -
High-Dose Ionizing Radiation Regulates Gene Expression Changes in the MCF7 Breast Cancer Cell Line
ANTICANCER RESEARCH 35: 2577-2592 (2015) High-dose Ionizing Radiation Regulates Gene Expression Changes in the MCF7 Breast Cancer Cell Line VALENTINA BRAVATÀ1*, LUIGI MINAFRA1*, GIORGIO RUSSO1, GIUSI IRMA FORTE1, FRANCESCO P. CAMMARATA1, MARILENA RIPAMONTI1, CARLO CASARINO1, GIUSEPPA AUGELLO2, FRANCESCA COSTANTINI2, GIOVANNA BARBIERI2, CRISTINA MESSA1,4,5 and MARIA C. GILARDI1,3,5 1Institute of Bioimaging and Molecular Physiology, National Research Council (IBFM-CNR) -LATO, Cefalù (PA), Italy; 2Institute of Biomedicine and Molecular Immunology “Alberto Monroy”- National Research Council (IBIM-CNR), Palermo, Italy; 3Nuclear Medicine, San Raffaele Scientific Institute, Milan, Italy; 4Nuclear Medicine Center, San Gerardo Hospital, Monza, Italy; 5Department of Health Sciences, Tecnomed Foundation, University of Milano-Bicocca, Milan, Italy Abstract. Background: Intraoperative electron radiation during IOERT boost and exclusive treatments, respectively) therapy (IOERT) is a therapeutic technique which administers by cDNA microarrays. Real-Time Quantitative Reverse a single high dose of ionizing radiation immediately after Transcription PCR (qRT-PCR), immunofluorescence and surgical tumor removal. IOERT induces a strong stress immunoblot experiments were performed to validate response: both tumor and normal cells activating pro- and candidate IOERT biomarkers. We also conducted clonogenic antiproliferative cell signaling pathways. Following treatment, tests and cellular senescence assays to monitor for radiation- several genes and factors are differently modulated, induced effects. Results: The analyses highlighted a producing an imbalance in cell fate decision. However, the transcriptome dependent on the dose delivered and a number contribution of these genes and pathways in conferring of specific key genes that may be proposed as new markers of different cell radiosensitivity and radioresistance needs to be radiosensitivity. Cell and molecular traits observed in MCF7 further investigated, in particular after high-dose treatments.