Structural Analysis of the KANSL1/WDR5/ KANSL2 Complex Reveals That WDR5 Is Required for Efficient Assembly and Chromatin Targeting of the NSL Complex
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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. -
Modes of Interaction of KMT2 Histone H3 Lysine 4 Methyltransferase/COMPASS Complexes with Chromatin
cells Review Modes of Interaction of KMT2 Histone H3 Lysine 4 Methyltransferase/COMPASS Complexes with Chromatin Agnieszka Bochy ´nska,Juliane Lüscher-Firzlaff and Bernhard Lüscher * ID Institute of Biochemistry and Molecular Biology, Medical School, RWTH Aachen University, Pauwelsstrasse 30, 52057 Aachen, Germany; [email protected] (A.B.); jluescher-fi[email protected] (J.L.-F.) * Correspondence: [email protected]; Tel.: +49-241-8088850; Fax: +49-241-8082427 Received: 18 January 2018; Accepted: 27 February 2018; Published: 2 March 2018 Abstract: Regulation of gene expression is achieved by sequence-specific transcriptional regulators, which convey the information that is contained in the sequence of DNA into RNA polymerase activity. This is achieved by the recruitment of transcriptional co-factors. One of the consequences of co-factor recruitment is the control of specific properties of nucleosomes, the basic units of chromatin, and their protein components, the core histones. The main principles are to regulate the position and the characteristics of nucleosomes. The latter includes modulating the composition of core histones and their variants that are integrated into nucleosomes, and the post-translational modification of these histones referred to as histone marks. One of these marks is the methylation of lysine 4 of the core histone H3 (H3K4). While mono-methylation of H3K4 (H3K4me1) is located preferentially at active enhancers, tri-methylation (H3K4me3) is a mark found at open and potentially active promoters. Thus, H3K4 methylation is typically associated with gene transcription. The class 2 lysine methyltransferases (KMTs) are the main enzymes that methylate H3K4. KMT2 enzymes function in complexes that contain a necessary core complex composed of WDR5, RBBP5, ASH2L, and DPY30, the so-called WRAD complex. -
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. -
A Long Noncoding RNA Maintains Active Chromatin to Coordinate Homeotic Gene Expression
LETTER doi:10.1038/nature09819 A long noncoding RNA maintains active chromatin to coordinate homeotic gene expression Kevin C. Wang1,2, Yul W. Yang1*, Bo Liu3*, Amartya Sanyal4, Ryan Corces-Zimmerman1, Yong Chen5, Bryan R. Lajoie4, Angeline Protacio1, Ryan A. Flynn1, Rajnish A. Gupta1, Joanna Wysocka6, Ming Lei5, Job Dekker4, Jill A. Helms3 & Howard Y. Chang1 The genome is extensively transcribed into long intergenic non- we suggest the name HOTTIP for ‘HOXA transcript at the distal tip’, coding RNAs (lincRNAs), many of which are implicated in gene exhibits bivalent H3K4me3 and H3K27me3, a histone modification silencing1,2. Potential roles of lincRNAs in gene activation are pattern associated with poised regulatory sequences16. Comparison much less understood3–5. Development and homeostasis require with RNA polymerase II occupancy and RNA expression showed that coordinate regulation of neighbouring genes through a process the bivalent H3K4me3 and H3K27me3 modifications on HOTTIP gene termed locus control6. Some locus control elements and enhancers do not require HOTTIP transcription, but transcription of HOTTIP is transcribe lincRNAs7–10, hinting at possible roles in long-range associated with increased H3K4me3 and decreased H3K27me3 (Fig. 1a, control. In vertebrates, 39 Hox genes, encoding homeodomain left). Chromatin immunoprecipitation (ChIP) analysis confirmed that transcription factors critical for positional identity, are clustered the HOTTIP gene is occupied by both polycomb repressive complex 2 in four chromosomal loci; the Hox genes are expressed in nested (PRC2) and MLL complex, consistent with the bivalent histone marks anterior-posterior and proximal-distal patterns colinear with their (Supplementary Fig. 1a). genomic position from 39 to 59of the cluster11. -
The MIS12 Complex Is a Protein Interaction Hub for Outer Kinetochore Assembly
JCB: Article The MIS12 complex is a protein interaction hub for outer kinetochore assembly Arsen Petrovic,1 Sebastiano Pasqualato,1 Prakash Dube,3 Veronica Krenn,1 Stefano Santaguida,1 Davide Cittaro,4 Silvia Monzani,1 Lucia Massimiliano,1 Jenny Keller,1 Aldo Tarricone,1 Alessio Maiolica,1 Holger Stark,3 and Andrea Musacchio1,2 1Department of Experimental Oncology, European Institute of Oncology (IEO) and 2Research Unit of the Italian Institute of Technology, Italian Foundation for Cancer Research Institute of Molecular Oncology–IEO Campus, I-20139 Milan, Italy 33D Electron Cryomicroscopy Group, Max Planck Institute for Biophysical Chemistry, and Göttingen Center for Microbiology, University of Göttingen, 37077 Göttingen, Germany 4Consortium for Genomic Technologies, I-20139 Milan, Italy inetochores are nucleoprotein assemblies responsi axis of 22 nm. Through biochemical analysis, cross- ble for the attachment of chromosomes to spindle linking–based methods, and negative-stain electron mi K microtubules during mitosis. The KMN network, croscopy, we investigated the reciprocal organization of a crucial constituent of the outer kinetochore, creates an the subunits of the MIS12 complex and their contacts with interface that connects microtubules to centromeric chro the rest of the KMN network. A highlight of our findings matin. The NDC80, MIS12, and KNL1 complexes form the is the identification of the NSL1 subunit as a scaffold core of the KMN network. We recently reported the struc supporting interactions of the MIS12 complex with the tural organization of the human NDC80 complex. In this NDC80 and KNL1 complexes. Our analysis has important study, we extend our analysis to the human MIS12 com implications for understanding kinetochore organization in plex and show that it has an elongated structure with a long different organisms. -
Identification of Conserved Genes Triggering Puberty in European Sea
Blázquez et al. BMC Genomics (2017) 18:441 DOI 10.1186/s12864-017-3823-2 RESEARCHARTICLE Open Access Identification of conserved genes triggering puberty in European sea bass males (Dicentrarchus labrax) by microarray expression profiling Mercedes Blázquez1,2* , Paula Medina1,2,3, Berta Crespo1,4, Ana Gómez1 and Silvia Zanuy1* Abstract Background: Spermatogenesisisacomplexprocesscharacterized by the activation and/or repression of a number of genes in a spatio-temporal manner. Pubertal development in males starts with the onset of the first spermatogenesis and implies the division of primary spermatogonia and their subsequent entry into meiosis. This study is aimed at the characterization of genes involved in the onset of puberty in European sea bass, and constitutes the first transcriptomic approach focused on meiosis in this species. Results: European sea bass testes collected at the onset of puberty (first successful reproduction) were grouped in stage I (resting stage), and stage II (proliferative stage). Transition from stage I to stage II was marked by an increase of 11ketotestosterone (11KT), the main fish androgen, whereas the transcriptomic study resulted in 315 genes differentially expressed between the two stages. The onset of puberty induced 1) an up-regulation of genes involved in cell proliferation, cell cycle and meiosis progression, 2) changes in genes related with reproduction and growth, and 3) a down-regulation of genes included in the retinoic acid (RA) signalling pathway. The analysis of GO-terms and biological pathways showed that cell cycle, cell division, cellular metabolic processes, and reproduction were affected, consistent with the early events that occur during the onset of puberty. -
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. -
Aberrant Activity of Histone–Lysine N-Methyltransferase 2 (KMT2) Complexes in Oncogenesis
International Journal of Molecular Sciences Review Aberrant Activity of Histone–Lysine N-Methyltransferase 2 (KMT2) Complexes in Oncogenesis Elzbieta Poreba 1,* , Krzysztof Lesniewicz 2 and Julia Durzynska 1,* 1 Institute of Experimental Biology, Faculty of Biology, Adam Mickiewicz University, ul. Uniwersytetu Pozna´nskiego6, 61-614 Pozna´n,Poland 2 Department of Molecular and Cellular Biology, Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University, ul. Uniwersytetu Pozna´nskiego6, 61-614 Pozna´n,Poland; [email protected] * Correspondence: [email protected] (E.P.); [email protected] (J.D.); Tel.: +48-61-829-5857 (E.P.) Received: 19 November 2020; Accepted: 6 December 2020; Published: 8 December 2020 Abstract: KMT2 (histone-lysine N-methyltransferase subclass 2) complexes methylate lysine 4 on the histone H3 tail at gene promoters and gene enhancers and, thus, control the process of gene transcription. These complexes not only play an essential role in normal development but have also been described as involved in the aberrant growth of tissues. KMT2 mutations resulting from the rearrangements of the KMT2A (MLL1) gene at 11q23 are associated with pediatric mixed-lineage leukemias, and recent studies demonstrate that KMT2 genes are frequently mutated in many types of human cancers. Moreover, other components of the KMT2 complexes have been reported to contribute to oncogenesis. This review summarizes the recent advances in our knowledge of the role of KMT2 complexes in cell transformation. In addition, it discusses the therapeutic targeting of different components of the KMT2 complexes. Keywords: histone–lysine N-methyltransferase 2; COMPASS; COMPASS-like; H3K4 methylation; oncogenesis; cancer; epigenetics; chromatin 1. -
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 -
Rna-Mediated Programming of Active Chromatin A
RNA-MEDIATED PROGRAMMING OF ACTIVE CHROMATIN A DISSERTATION SUBMITTED TO THE PROGRAM IN CANCER BIOLOGY AND THE COMMITTEE ON GRADUATE STUDIES OF STANFORD UNIVERSITY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY Yul Wonjun Yang August 2012 © 2012 by Yul Wonjun Yang. All Rights Reserved. Re-distributed by Stanford University under license with the author. This work is licensed under a Creative Commons Attribution- Noncommercial 3.0 United States License. http://creativecommons.org/licenses/by-nc/3.0/us/ This dissertation is online at: http://purl.stanford.edu/zj169pb5921 ii I certify that I have read this dissertation and that, in my opinion, it is fully adequate in scope and quality as a dissertation for the degree of Doctor of Philosophy. Howard Chang, Primary Adviser I certify that I have read this dissertation and that, in my opinion, it is fully adequate in scope and quality as a dissertation for the degree of Doctor of Philosophy. Paul Khavari I certify that I have read this dissertation and that, in my opinion, it is fully adequate in scope and quality as a dissertation for the degree of Doctor of Philosophy. Seung Kim I certify that I have read this dissertation and that, in my opinion, it is fully adequate in scope and quality as a dissertation for the degree of Doctor of Philosophy. Joanna Wysocka Approved for the Stanford University Committee on Graduate Studies. Patricia J. Gumport, Vice Provost Graduate Education This signature page was generated electronically upon submission of this dissertation in electronic format. An original signed hard copy of the signature page is on file in University Archives. -
EBF1 Drives Hallmark B Cell Gene Expression by Enabling the Interaction of PAX5 with the MLL H3K4 Methyltransferase Complex Charles E
www.nature.com/scientificreports OPEN EBF1 drives hallmark B cell gene expression by enabling the interaction of PAX5 with the MLL H3K4 methyltransferase complex Charles E. Bullerwell1, Philippe Pierre Robichaud1,2, Pierre M. L. Deprez1, Andrew P. Joy1, Gabriel Wajnberg1, Darwin D’Souza1,3, Simi Chacko1, Sébastien Fournier1, Nicolas Crapoulet1, David A. Barnett1,2, Stephen M. Lewis1,2 & Rodney J. Ouellette1,2* PAX5 and EBF1 work synergistically to regulate genes that are involved in B lymphocyte diferentiation. We used the KIS-1 difuse large B cell lymphoma cell line, which is reported to have elevated levels of PAX5 expression, to investigate the mechanism of EBF1- and PAX5-regulated gene expression. We demonstrate the lack of expression of hallmark B cell genes, including CD19, CD79b, and EBF1, in the KIS-1 cell line. Upon restoration of EBF1 expression we observed activation of CD19, CD79b and other genes with critical roles in B cell diferentiation. Mass spectrometry analyses of proteins co-immunoprecipitated with PAX5 in KIS-1 identifed components of the MLL H3K4 methylation complex, which drives histone modifcations associated with transcription activation. Immunoblotting showed a stronger association of this complex with PAX5 in the presence of EBF1. Silencing of KMT2A, the catalytic component of MLL, repressed the ability of exogenous EBF1 to activate transcription of both CD19 and CD79b in KIS-1 cells. We also fnd association of PAX5 with the MLL complex and decreased CD19 expression following silencing of KMT2A in other human B cell lines. These data support an important role for the MLL complex in PAX5-mediated transcription regulation. -
Regulation of DNA Replication and Chromosomal Polyploidy by The
© 2016. Published by The Company of Biologists Ltd | Biology Open (2016) 5, 1449-1460 doi:10.1242/bio.019729 RESEARCH ARTICLE Regulation of DNA replication and chromosomal polyploidy by the MLL-WDR5-RBBP5 methyltransferases Fei Lu1,2,*, Xiaojun Wu1,*, Feng Yin1, Christina Chia-Fang Lee2, Min Yu1, Ivailo S. Mihaylov2, Jiekai Yu3, Hong Sun2,3 and Hui Zhang2,3,‡ ABSTRACT CDT1 onto specific DNA replication origins (Blow and Dutta, DNA replication licensing occurs on chromatin, but how the chromatin 2005). The licensing process of the replication origins further template is regulated for replication remains mostly unclear. Here, we requires the recruitment of the minichromosome maintenance have analyzed the requirement of histone methyltransferases for a protein complex (MCM), consisting of six MCM proteins specific type of replication: the DNA re-replication induced by the (MCM2-7) that form a replicative helicase complex, onto downregulation of either Geminin, an inhibitor of replication licensing chromatin for the next round of DNA replication (Remus et al., protein CDT1, or the CRL4CDT2 ubiquitin E3 ligase. We found that 2009). In metazoans, a critical regulation that prevents DNA re- siRNA-mediated reduction of essential components of the MLL- replication at replication origins in a cell cycle is mediated through WDR5-RBBP5 methyltransferase complexes including WDR5 or Geminin, a negative regulatory protein that directly binds to CDT1 RBBP5, which transfer methyl groups to histone H3 at K4 (H3K4), to inhibit the key licensing activity of CDT1 for replication initiation suppressed DNA re-replication and chromosomal polyploidy. (Blow and Dutta, 2005; McGarry and Kirschner, 1998; Melixetian Reduction of WDR5/RBBP5 also prevented the activation of H2AX and Helin, 2004; Mihaylov et al., 2002; Wohlschlegel et al., 2000; checkpoint caused by re-replication, but not by ultraviolet or X-ray Zhu et al., 2004).