The Juvenile Alopecia Mutation (Jal) Maps to Mouse Chromosome 2, and Is an Allele of GATA Binding Protein 3 (Gata3) Ramirez Et Al
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Frequent Expression Loss of Inter-Alpha-Trypsin Inhibitor Heavy Chain (ITIH) Genes in Multiple Human Solid Tumors: a Systematic Expression Analysis
Hamm, A; Veeck, J; Bektas, N; Wild, P J; Hartmann, A; Heindrichs, U; Kristiansen, G; Werbowetski-Ogilvie, T; Del Maestro, R; Knuechel, R; Dahl, E (2008). Frequent expression loss of Inter-alpha-trypsin inhibitor heavy chain (ITIH) genes in multiple human solid tumors: a systematic expression analysis. BMC Cancer, 8:25. Postprint available at: http://www.zora.uzh.ch University of Zurich Posted at the Zurich Open Repository and Archive, University of Zurich. Zurich Open Repository and Archive http://www.zora.uzh.ch Originally published at: BMC Cancer 2008, 8:25. Winterthurerstr. 190 CH-8057 Zurich http://www.zora.uzh.ch Year: 2008 Frequent expression loss of Inter-alpha-trypsin inhibitor heavy chain (ITIH) genes in multiple human solid tumors: a systematic expression analysis Hamm, A; Veeck, J; Bektas, N; Wild, P J; Hartmann, A; Heindrichs, U; Kristiansen, G; Werbowetski-Ogilvie, T; Del Maestro, R; Knuechel, R; Dahl, E Hamm, A; Veeck, J; Bektas, N; Wild, P J; Hartmann, A; Heindrichs, U; Kristiansen, G; Werbowetski-Ogilvie, T; Del Maestro, R; Knuechel, R; Dahl, E (2008). Frequent expression loss of Inter-alpha-trypsin inhibitor heavy chain (ITIH) genes in multiple human solid tumors: a systematic expression analysis. BMC Cancer, 8:25. Postprint available at: http://www.zora.uzh.ch Posted at the Zurich Open Repository and Archive, University of Zurich. http://www.zora.uzh.ch Originally published at: BMC Cancer 2008, 8:25. Frequent expression loss of Inter-alpha-trypsin inhibitor heavy chain (ITIH) genes in multiple human solid tumors: a systematic expression analysis Abstract BACKGROUND: The inter-alpha-trypsin inhibitors (ITI) are a family of plasma protease inhibitors, assembled from a light chain - bikunin, encoded by AMBP - and five homologous heavy chains (encoded by ITIH1, ITIH2, ITIH3, ITIH4, and ITIH5), contributing to extracellular matrix stability by covalent linkage to hyaluronan. -
Supplementary Information Changes in the Plasma Proteome At
Supplementary Information Changes in the plasma proteome at asymptomatic and symptomatic stages of autosomal dominant Alzheimer’s disease Julia Muenchhoff1, Anne Poljak1,2,3, Anbupalam Thalamuthu1, Veer B. Gupta4,5, Pratishtha Chatterjee4,5,6, Mark Raftery2, Colin L. Masters7, John C. Morris8,9,10, Randall J. Bateman8,9, Anne M. Fagan8,9, Ralph N. Martins4,5,6, Perminder S. Sachdev1,11,* Supplementary Figure S1. Ratios of proteins differentially abundant in asymptomatic carriers of PSEN1 and APP Dutch mutations. Mean ratios and standard deviations of plasma proteins from asymptomatic PSEN1 mutation carriers (PSEN1) and APP Dutch mutation carriers (APP) relative to reference masterpool as quantified by iTRAQ. Ratios that significantly differed are marked with asterisks (* p < 0.05; ** p < 0.01). C4A, complement C4-A; AZGP1, zinc-α-2-glycoprotein; HPX, hemopexin; PGLYPR2, N-acetylmuramoyl-L-alanine amidase isoform 2; α2AP, α-2-antiplasmin; APOL1, apolipoprotein L1; C1 inhibitor, plasma protease C1 inhibitor; ITIH2, inter-α-trypsin inhibitor heavy chain H2. 2 A) ADAD)CSF) ADAD)plasma) B) ADAD)CSF) ADAD)plasma) (Ringman)et)al)2015)) (current)study)) (Ringman)et)al)2015)) (current)study)) ATRN↓,%%AHSG↑% 32028% 49% %%%%%%%%HC2↑,%%ApoM↓% 24367% 31% 10083%% %%%%TBG↑,%%LUM↑% 24256% ApoC1↓↑% 16565% %%AMBP↑% 11738%%% SERPINA3↓↑% 24373% C6↓↑% ITIH2% 10574%% %%%%%%%CPN2↓%% ↓↑% %%%%%TTR↑% 11977% 10970% %SERPINF2↓↑% CFH↓% C5↑% CP↓↑% 16566% 11412%% 10127%% %%ITIH4↓↑% SerpinG1↓% 11967% %%ORM1↓↑% SerpinC1↓% 10612% %%%A1BG↑%%% %%%%FN1↓% 11461% %%%%ITIH1↑% C3↓↑% 11027% 19325% 10395%% %%%%%%HPR↓↑% HRG↓% %%% 13814%% 10338%% %%% %ApoA1 % %%%%%%%%%GSN↑% ↓↑ %%%%%%%%%%%%ApoD↓% 11385% C4BPA↓↑% 18976%% %%%%%%%%%%%%%%%%%ApoJ↓↑% 23266%%%% %%%%%%%%%%%%%%%%%%%%%%ApoA2↓↑% %%%%%%%%%%%%%%%%%%%%%%%%%%%%A2M↓↑% IGHM↑,%%GC↓↑,%%ApoB↓↑% 13769% % FGA↓↑,%%FGB↓↑,%%FGG↓↑% AFM↓↑,%%CFB↓↑,%% 19143%% ApoH↓↑,%%C4BPA↓↑% ApoA4↓↑%%% LOAD/MCI)plasma) LOAD/MCI)plasma) LOAD/MCI)plasma) LOAD/MCI)plasma) (Song)et)al)2014)) (Muenchhoff)et)al)2015)) (Song)et)al)2014)) (Muenchhoff)et)al)2015)) Supplementary Figure S2. -
Analysis of Gene Expression Data for Gene Ontology
ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins. -
The Oviductal Transcriptome Is Influenced by a Local Ovarian Effect in the Sow Rebeca López-Úbeda1,2, Marta Muñoz3, Luis Vieira1,2, Ronald H
López-Úbeda et al. Journal of Ovarian Research (2016) 9:44 DOI 10.1186/s13048-016-0252-9 RESEARCH Open Access The oviductal transcriptome is influenced by a local ovarian effect in the sow Rebeca López-Úbeda1,2, Marta Muñoz3, Luis Vieira1,2, Ronald H. F. Hunter4, Pilar Coy1,2,5* and Sebastian Canovas1,2,5* Abstract Background: Oviducts participate in fertilization and early embryo development, and they are influenced by systemic and local circulation. Local functional interplay between ovary, oviduct and uterus is important, as deduced from the previously observed differences in hormone concentrations, presence of sperm, or patterns of motility in the oviduct after unilateral ovariectomy (UO). However, the consequences of unilateral ovariectomy on the oviductal transcriptome remain unexplored. In this study, we have investigated the consequences of UO in a higher animal model as the pig. Methods: The influence of UO was analyzed on the number of ovulations on the contra ovary, which was increased, and on the ipsilateral oviductal transcriptome. Microarray analysis was performed and the results were validated by PCR. Differentially expressed genes (DEGs) with a fold change ≥ 2andafalsediscoveryrateof10%were analyzed by Ingenuity Pathway Analysis (IPA) to identify the main biofunctions affected by UO. Results: Data revealed two principal effects in the ipsilateral oviduct after UO: i) down-regulation of genes involved in the survival of sperm in the oviduct and early embryonic development, and ii) up-regulation of genes involved in others functions as protection against external agents and tumors. Conclusions: Results showed that unilateral ovariectomy results in an increased number of ovulation points on the contra ovary and changes in the transcriptome of the ipsilateral oviduct with consequences on key biological process that could affect fertility output. -
Genome-Wide Analysis of Transcriptional Bursting-Induced Noise in Mammalian Cells
bioRxiv preprint doi: https://doi.org/10.1101/736207; this version posted August 15, 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. Title: Genome-wide analysis of transcriptional bursting-induced noise in mammalian cells Authors: Hiroshi Ochiai1*, Tetsutaro Hayashi2, Mana Umeda2, Mika Yoshimura2, Akihito Harada3, Yukiko Shimizu4, Kenta Nakano4, Noriko Saitoh5, Hiroshi Kimura6, Zhe Liu7, Takashi Yamamoto1, Tadashi Okamura4,8, Yasuyuki Ohkawa3, Itoshi Nikaido2,9* Affiliations: 1Graduate School of Integrated Sciences for Life, Hiroshima University, Higashi-Hiroshima, Hiroshima, 739-0046, Japan 2Laboratory for Bioinformatics Research, RIKEN BDR, Wako, Saitama, 351-0198, Japan 3Division of Transcriptomics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Fukuoka, 812-0054, Japan 4Department of Animal Medicine, National Center for Global Health and Medicine (NCGM), Tokyo, 812-0054, Japan 5Division of Cancer Biology, The Cancer Institute of JFCR, Tokyo, 135-8550, Japan 6Graduate School of Bioscience and Biotechnology, Tokyo Institute of Technology, Yokohama, Kanagawa, 226-8503, Japan 7Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, 20147, USA 8Section of Animal Models, Department of Infectious Diseases, National Center for Global Health and Medicine (NCGM), Tokyo, 812-0054, Japan 9Bioinformatics Course, Master’s/Doctoral Program in Life Science Innovation (T-LSI), School of Integrative and Global Majors (SIGMA), University of Tsukuba, Wako, 351-0198, Japan *Corresponding authors Corresponding authors e-mail addresses Hiroshi Ochiai, [email protected] Itoshi Nikaido, [email protected] bioRxiv preprint doi: https://doi.org/10.1101/736207; this version posted August 15, 2019. -
UNIVERSITY of CALIFORNIA RIVERSIDE Investigations Into The
UNIVERSITY OF CALIFORNIA RIVERSIDE Investigations into the Role of TAF1-mediated Phosphorylation in Gene Regulation A Dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Cell, Molecular and Developmental Biology by Brian James Gadd December 2012 Dissertation Committee: Dr. Xuan Liu, Chairperson Dr. Frank Sauer Dr. Frances M. Sladek Copyright by Brian James Gadd 2012 The Dissertation of Brian James Gadd is approved Committee Chairperson University of California, Riverside Acknowledgments I am thankful to Dr. Liu for her patience and support over the last eight years. I am deeply indebted to my committee members, Dr. Frank Sauer and Dr. Frances Sladek for the insightful comments on my research and this dissertation. Thanks goes out to CMDB, especially Dr. Bachant, Dr. Springer and Kathy Redd for their support. Thanks to all the members of the Liu lab both past and present. A very special thanks to the members of the Sauer lab, including Silvia, Stephane, David, Matt, Stephen, Ninuo, Toby, Josh, Alice, Alex and Flora. You have made all the years here fly by and made them so enjoyable. From the Sladek lab I want to thank Eugene, John, Linh and Karthi. Special thanks go out to all the friends I’ve made over the years here. Chris, Amber, Stephane and David, thank you so much for feeding me, encouraging me and keeping me sane. Thanks to the brothers for all your encouragement and prayers. To any I haven’t mentioned by name, I promise I haven’t forgotten all you’ve done for me during my graduate years. -
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 -
Structure and Mechanism of the RNA Polymerase II Transcription Machinery
Downloaded from genesdev.cshlp.org on October 9, 2021 - Published by Cold Spring Harbor Laboratory Press REVIEW Structure and mechanism of the RNA polymerase II transcription machinery Allison C. Schier and Dylan J. Taatjes Department of Biochemistry, University of Colorado, Boulder, Colorado 80303, USA RNA polymerase II (Pol II) transcribes all protein-coding ingly high resolution, which has rapidly advanced under- genes and many noncoding RNAs in eukaryotic genomes. standing of the molecular basis of Pol II transcription. Although Pol II is a complex, 12-subunit enzyme, it lacks Structural biology continues to transform our under- the ability to initiate transcription and cannot consistent- standing of complex biological processes because it allows ly transcribe through long DNA sequences. To execute visualization of proteins and protein complexes at or near these essential functions, an array of proteins and protein atomic-level resolution. Combined with mutagenesis and complexes interact with Pol II to regulate its activity. In functional assays, structural data can at once establish this review, we detail the structure and mechanism of how enzymes function, justify genetic links to human dis- over a dozen factors that govern Pol II initiation (e.g., ease, and drive drug discovery. In the past few decades, TFIID, TFIIH, and Mediator), pausing, and elongation workhorse techniques such as NMR and X-ray crystallog- (e.g., DSIF, NELF, PAF, and P-TEFb). The structural basis raphy have been complemented by cryoEM, cross-linking for Pol II transcription regulation has advanced rapidly mass spectrometry (CXMS), and other methods. Recent in the past decade, largely due to technological innova- improvements in data collection and imaging technolo- tions in cryoelectron microscopy. -
Cpg Islands and the Regulation of Transcription
Downloaded from genesdev.cshlp.org on September 24, 2021 - Published by Cold Spring Harbor Laboratory Press REVIEW CpG islands and the regulation of transcription Aime´e M. Deaton and Adrian Bird1 The Wellcome Trust Centre for Cell Biology, University of Edinburgh, Edinburgh EH9 3JR, United Kingdom Vertebrate CpG islands (CGIs) are short interspersed DNA In spite of their link with transcription, the functional sequences that deviate significantly from the average significance of CGIs is only just beginning to emerge. CGI genomic pattern by being GC-rich, CpG-rich, and pre- promoters turn out to have distinctive patterns of tran- dominantly nonmethylated. Most, perhaps all, CGIs are scription initiation and chromatin configuration. Their sites of transcription initiation, including thousands that regulation involves proteins (some of which specifically are remote from currently annotated promoters. Shared bind nonmethylated CpG) that influence the modifica- DNA sequence features adapt CGIs for promoter function tion status of CGI chromatin. In addition, the CpG moieties by destabilizing nucleosomes and attracting proteins that themselves are sometimes subject to cytosine methylation, create a transcriptionally permissive chromatin state. which correlates with stable shutdown of the associated Silencing of CGI promoters is achieved through dense promoter. Here we examine the properties shared by ver- CpG methylation or polycomb recruitment, again using tebrate CGIs and how transcription is regulated at these their distinctive DNA sequence composition. CGIs are sites. Recent related reviews include Illingworth and Bird therefore generically equipped to influence local chroma- (2009), Mohn and Schubeler (2009), and Blackledge and tin structure and simplify regulation of gene activity. Klose (2011). Vertebrate genomes are methylated predominantly at the Evolutionary conservation of CGIs dinucleotide CpG, and consequently are CpG-deficient owing to the mutagenic properties of methylcytosine CGIs are distinct in vertebrates due to their lack of DNA (Coulondre et al. -
Mass Spectrometry Discovery-Based Proteomics to Examine Anti-Aging Effects of the Nutraceutical NT-020 in Rat Serum" (2020)
University of South Florida Scholar Commons Graduate Theses and Dissertations Graduate School March 2020 Mass Spectrometry Discovery-Based Proteomics to Examine Anti- Aging Effects of the Nutraceutical NT-020 in Rat Serum Samantha M. Portis University of South Florida Follow this and additional works at: https://scholarcommons.usf.edu/etd Part of the Bioinformatics Commons, and the Neurosciences Commons Scholar Commons Citation Portis, Samantha M., "Mass Spectrometry Discovery-Based Proteomics to Examine Anti-Aging Effects of the Nutraceutical NT-020 in Rat Serum" (2020). Graduate Theses and Dissertations. https://scholarcommons.usf.edu/etd/8279 This Dissertation is brought to you for free and open access by the Graduate School at Scholar Commons. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Scholar Commons. For more information, please contact [email protected]. Mass Spectrometry Discovery-Based Proteomics to Examine Anti-Aging Effects of the Nutraceutical NT-020 in Rat Serum by Samantha M. Portis A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy Medical Sciences with a concentration in Neuroscience Department of Molecular Pharmacology and Physiology College of Medicine University of South Florida Major Professor: Paul R. Sanberg, Ph.D., D.Sc Co-Major Professor: Paula C. Bickford, Ph.D. Kevin Nash, Ph.D. Dominic D’Agostino, Ph.D. Brent Small, Ph.D. Date of Approval: March 28, 2020 Keywords: aging, proteome, serum, inflammation, bioinformatics Copyright © 2020, Samantha M. Portis Dedication I dedicate this work to my family, Alan, Candace, Carolyn, and Jimmy, my brother, Patrick, and my partner, Will. -
Histone H3Q5 Serotonylation Stabilizes H3K4 Methylation and Potentiates Its Readout
Histone H3Q5 serotonylation stabilizes H3K4 methylation and potentiates its readout Shuai Zhaoa,1, Kelly N. Chuhb,1, Baichao Zhanga,1, Barbara E. Dulb, Robert E. Thompsonb, Lorna A. Farrellyc,d, Xiaohui Liue, Ning Xue, Yi Xuee, Robert G. Roederf, Ian Mazec,d,2, Tom W. Muirb,2, and Haitao Lia,g,2 aMinistry of Education Key Laboratory of Protein Sciences, Beijing Advanced Innovation Center for Structural Biology, Beijing Frontier Research Center for Biological Structure, Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China; bDepartment of Chemistry, Princeton University, Princeton, NJ 08540; cNash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029; dDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029; eNational Protein Science Technology Center, School of Life Sciences, Tsinghua University, Beijing 100084, China; fLaboratory of Biochemistry and Molecular Biology, The Rockefeller University, New York, NY 10065; and gTsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing 100084, China Edited by Peter Cheung, York University, Toronto, ON, Canada, and accepted by Editorial Board Member Karolin Luger November 12, 2020 (received for review August 7, 2020) Serotonylation of glutamine 5 on histone H3 (H3Q5ser) was recently established that H3K4me3 regulates gene expression through re- identified as a permissive posttranslational modification that coexists cruitment of nuclear factors that contain reader domains specific with adjacent lysine 4 trimethylation (H3K4me3). While the resulting for the mark. These include ATP-dependent chromatin remod- dual modification, H3K4me3Q5ser, is enriched at regions of active eling enzymes, as well as several transcription factors (13). -
CR Cistrome: a Chip-Seq Database for Chromatin Regulators and Histone Modification Linkages in Human and Mouse
CR Cistrome: a ChIP-Seq database for chromatin regulators and histone modification linkages in human and mouse The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Wang, Q., J. Huang, H. Sun, J. Liu, J. Wang, Q. Wang, Q. Qin, et al. 2013. “CR Cistrome: a ChIP-Seq database for chromatin regulators and histone modification linkages in human and mouse.” Nucleic Acids Research 42 (D1): D450-D458. doi:10.1093/nar/gkt1151. http:// dx.doi.org/10.1093/nar/gkt1151. Published Version doi:10.1093/nar/gkt1151 Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:12064382 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA D450–D458 Nucleic Acids Research, 2014, Vol. 42, Database issue Published online 18 November 2013 doi:10.1093/nar/gkt1151 CR Cistrome: a ChIP-Seq database for chromatin regulators and histone modification linkages in human and mouse Qixuan Wang1, Jinyan Huang1, Hanfei Sun1, Jing Liu1, Juan Wang1, Qian Wang1, Qian Qin1, Shenglin Mei1, Chengchen Zhao1, Xiaoqin Yang1, X. Shirley Liu2,* and Yong Zhang1,* 1Shanghai Key Laboratory of Signaling and Disease Research, School of Life Science and Technology, Tongji University, Shanghai 200092, China and 2Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Harvard school of Public Health, 450 Brookline Avenue, Boston, MA 02215, USA Received July 24, 2013; Revised October 17, 2013; Accepted October 26, 2013 ABSTRACT composed of an octamer of core histones (two copies of H2A, H2B, H3 and H4) and 146 DNA base pairs of DNA Diversified histone modifications (HMs) are essential wrapped around the histone octamer (1).