Promoter-Specific Changes in Initiation, Elongation, and Homeostasis Of
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Analysis of Trans Esnps Infers Regulatory Network Architecture
Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2014 © 2014 Anat Kreimer All rights reserved ABSTRACT Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer eSNPs are genetic variants associated with transcript expression levels. The characteristics of such variants highlight their importance and present a unique opportunity for studying gene regulation. eSNPs affect most genes and their cell type specificity can shed light on different processes that are activated in each cell. They can identify functional variants by connecting SNPs that are implicated in disease to a molecular mechanism. Examining eSNPs that are associated with distal genes can provide insights regarding the inference of regulatory networks but also presents challenges due to the high statistical burden of multiple testing. Such association studies allow: simultaneous investigation of many gene expression phenotypes without assuming any prior knowledge and identification of unknown regulators of gene expression while uncovering directionality. This thesis will focus on such distal eSNPs to map regulatory interactions between different loci and expose the architecture of the regulatory network defined by such interactions. We develop novel computational approaches and apply them to genetics-genomics data in human. We go beyond pairwise interactions to define network motifs, including regulatory modules and bi-fan structures, showing them to be prevalent in real data and exposing distinct attributes of such arrangements. We project eSNP associations onto a protein-protein interaction network to expose topological properties of eSNPs and their targets and highlight different modes of distal regulation. -
Bayesian Hierarchical Modeling of High-Throughput Genomic Data with Applications to Cancer Bioinformatics and Stem Cell Differentiation
BAYESIAN HIERARCHICAL MODELING OF HIGH-THROUGHPUT GENOMIC DATA WITH APPLICATIONS TO CANCER BIOINFORMATICS AND STEM CELL DIFFERENTIATION by Keegan D. Korthauer A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Statistics) at the UNIVERSITY OF WISCONSIN–MADISON 2015 Date of final oral examination: 05/04/15 The dissertation is approved by the following members of the Final Oral Committee: Christina Kendziorski, Professor, Biostatistics and Medical Informatics Michael A. Newton, Professor, Statistics Sunduz Kele¸s,Professor, Biostatistics and Medical Informatics Sijian Wang, Associate Professor, Biostatistics and Medical Informatics Michael N. Gould, Professor, Oncology © Copyright by Keegan D. Korthauer 2015 All Rights Reserved i in memory of my grandparents Ma and Pa FL Grandma and John ii ACKNOWLEDGMENTS First and foremost, I am deeply grateful to my thesis advisor Christina Kendziorski for her invaluable advice, enthusiastic support, and unending patience throughout my time at UW-Madison. She has provided sound wisdom on everything from methodological principles to the intricacies of academic research. I especially appreciate that she has always encouraged me to eke out my own path and I attribute a great deal of credit to her for the successes I have achieved thus far. I also owe special thanks to my committee member Professor Michael Newton, who guided me through one of my first collaborative research experiences and has continued to provide key advice on my thesis research. I am also indebted to the other members of my thesis committee, Professor Sunduz Kele¸s,Professor Sijian Wang, and Professor Michael Gould, whose valuable comments, questions, and suggestions have greatly improved this dissertation. -
Transcriptome Analyses of Rhesus Monkey Pre-Implantation Embryos Reveal A
Downloaded from genome.cshlp.org on September 23, 2021 - Published by Cold Spring Harbor Laboratory Press Transcriptome analyses of rhesus monkey pre-implantation embryos reveal a reduced capacity for DNA double strand break (DSB) repair in primate oocytes and early embryos Xinyi Wang 1,3,4,5*, Denghui Liu 2,4*, Dajian He 1,3,4,5, Shengbao Suo 2,4, Xian Xia 2,4, Xiechao He1,3,6, Jing-Dong J. Han2#, Ping Zheng1,3,6# Running title: reduced DNA DSB repair in monkey early embryos Affiliations: 1 State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China 2 Key Laboratory of Computational Biology, CAS Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China 3 Yunnan Key Laboratory of Animal Reproduction, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China 4 University of Chinese Academy of Sciences, Beijing, China 5 Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China 6 Primate Research Center, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China * Xinyi Wang and Denghui Liu contributed equally to this work 1 Downloaded from genome.cshlp.org on September 23, 2021 - Published by Cold Spring Harbor Laboratory Press # Correspondence: Jing-Dong J. Han, Email: [email protected]; Ping Zheng, Email: [email protected] Key words: rhesus monkey, pre-implantation embryo, DNA damage 2 Downloaded from genome.cshlp.org on September 23, 2021 - Published by Cold Spring Harbor Laboratory Press ABSTRACT Pre-implantation embryogenesis encompasses several critical events including genome reprogramming, zygotic genome activation (ZGA) and cell fate commitment. -
RNA Epigenetics: Fine-Tuning Chromatin Plasticity and Transcriptional Regulation, and the Implications in Human Diseases
G C A T T A C G G C A T genes Review RNA Epigenetics: Fine-Tuning Chromatin Plasticity and Transcriptional Regulation, and the Implications in Human Diseases Amber Willbanks, Shaun Wood and Jason X. Cheng * Department of Pathology, Hematopathology Section, University of Chicago, Chicago, IL 60637, USA; [email protected] (A.W.); [email protected] (S.W.) * Correspondence: [email protected] Abstract: Chromatin structure plays an essential role in eukaryotic gene expression and cell identity. Traditionally, DNA and histone modifications have been the focus of chromatin regulation; however, recent molecular and imaging studies have revealed an intimate connection between RNA epigenetics and chromatin structure. Accumulating evidence suggests that RNA serves as the interplay between chromatin and the transcription and splicing machineries within the cell. Additionally, epigenetic modifications of nascent RNAs fine-tune these interactions to regulate gene expression at the co- and post-transcriptional levels in normal cell development and human diseases. This review will provide an overview of recent advances in the emerging field of RNA epigenetics, specifically the role of RNA modifications and RNA modifying proteins in chromatin remodeling, transcription activation and RNA processing, as well as translational implications in human diseases. Keywords: 5’ cap (5’ cap); 7-methylguanosine (m7G); R-loops; N6-methyladenosine (m6A); RNA editing; A-to-I; C-to-U; 2’-O-methylation (Nm); 5-methylcytosine (m5C); NOL1/NOP2/sun domain Citation: Willbanks, A.; Wood, S.; (NSUN); MYC Cheng, J.X. RNA Epigenetics: Fine-Tuning Chromatin Plasticity and Transcriptional Regulation, and the Implications in Human Diseases. Genes 2021, 12, 627. -
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. -
The Yin and Yang of Enhancer–Promoter Interactions
RESEARCH HIGHLIGHTS Nature Reviews Molecular Cell Biology | Published online 20 Dec 2017; doi:10.1038/nrm.2017.136 GENE EXPRESSION in the promoters of two genes resulted in reduced YY1 binding, reduced contact frequency between the pro- The yin and yang of enhancer– moters and their cognate enhancers and, in one of the genes, reduced expression. The lack of reduced promoter interactions expression of one of the genes was probably due to YY1 binding at Transcription factors can facilitate the could bind to these elements and facil- other, less optimal motifs; indeed, physical interaction between enhanc- itate their interaction. They identified YY1 depletion resulted in decreased ers and promoters and looping of deletion of another zinc finger protein, YY1, expression of both genes. the intervening DNA between them. YY1 binding which, like CTCF, is essential for cell Next, using an inducible protein Such loops are formed within larger, viability and is ubiquitously expressed. degradation system, the genome-wide insulated chromosomal loops (also motifs… Importantly, co- immunoprecipitation effects of YY1 depletion were meas- known as topologically associating reduced of differentially tagged YY1 proteins ured. The expression of thousands domains (TADs)), which are formed contact confirmed that YY1 can form of genes was changed (increased or by dimerization of the zinc finger frequency homodimers. decreased), and in general the genes protein CTCF bound to chromatin. In various mouse and human cell with the greatest changes following Weintraub et al. now show that, anal- between the types, YY1 occupied enhancers and YY1 depletion were those with ogously to CTCF, the protein yin and promoters and promoters genome-wide. -
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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/) -
A Curated Benchmark of Enhancer-Gene Interactions for Evaluating Enhancer-Target Gene Prediction Methods
University of Massachusetts Medical School eScholarship@UMMS Open Access Articles Open Access Publications by UMMS Authors 2020-01-22 A curated benchmark of enhancer-gene interactions for evaluating enhancer-target gene prediction methods Jill E. Moore University of Massachusetts Medical School Et al. Let us know how access to this document benefits ou.y Follow this and additional works at: https://escholarship.umassmed.edu/oapubs Part of the Bioinformatics Commons, Computational Biology Commons, Genetic Phenomena Commons, and the Genomics Commons Repository Citation Moore JE, Pratt HE, Purcaro MJ, Weng Z. (2020). A curated benchmark of enhancer-gene interactions for evaluating enhancer-target gene prediction methods. Open Access Articles. https://doi.org/10.1186/ s13059-019-1924-8. Retrieved from https://escholarship.umassmed.edu/oapubs/4118 Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 License. This material is brought to you by eScholarship@UMMS. It has been accepted for inclusion in Open Access Articles by an authorized administrator of eScholarship@UMMS. For more information, please contact [email protected]. Moore et al. Genome Biology (2020) 21:17 https://doi.org/10.1186/s13059-019-1924-8 RESEARCH Open Access A curated benchmark of enhancer-gene interactions for evaluating enhancer-target gene prediction methods Jill E. Moore, Henry E. Pratt, Michael J. Purcaro and Zhiping Weng* Abstract Background: Many genome-wide collections of candidate cis-regulatory elements (cCREs) have been defined using genomic and epigenomic data, but it remains a major challenge to connect these elements to their target genes. Results: To facilitate the development of computational methods for predicting target genes, we develop a Benchmark of candidate Enhancer-Gene Interactions (BENGI) by integrating the recently developed Registry of cCREs with experimentally derived genomic interactions. -
An HMG I/Y-Containing Repressor Complex and Supercolled DNA Topology Are Critical for Long-Range Enhancer-Dependent Transcription in Vitro
Downloaded from genesdev.cshlp.org on September 26, 2021 - Published by Cold Spring Harbor Laboratory Press An HMG I/Y-containing repressor complex and supercolled DNA topology are critical for long-range enhancer-dependent transcription in vitro Rajesh Bagga and Beverly M. Emerson 1 Regulatory Biology Laboratory, The Salk Institute for Biological Studies, La Jolla, California 92037 USA The 3' enhancer of the T cell receptor s.chain (TCR~) gene directs the tissue- and stage-specific expression and V(D)Jrecombination of this gene locus. Using an in vitro system that reproduces TCRoL enhancer activity efficiently, we show that long-range promoter-enhancer regulation requires a T cell-specific repressor complex and is sensitive to DNA topology. In this system, the enhancer functions to derepress the promoter on supercoiled, but not relaxed, templates. We find that the TCRoL promoter is inactivated by a repressor complex that contains the architectural protein HMG I/Y. In the absence of this repressor complex, expression of the TCR~ gene is completely independent of the 3' enhancer and DNA topology. The interaction of the T cell-restricted protein LEF-1 with the TCR~ enhancer is required for promoter derepression. In this system, the TCR~ enhancer increases the number of active promoters rather than the rate of transcription. Thus, long-range enhancers function in a distinct manner from promoters and provide the regulatory link between repressors, DNA topology, and gene activity. [Key Words: TCR genes; transcription; enhancers; HMG I/Y; derepression; DNA topology] Received December 27, 1996; revised version accepted January 14, 1997. The widespread importance of long-range promoter- Giaever 1988; Rippe et al. -
Promoter Methylation Status for Cell-Type Deconvolution
bioRxiv preprint doi: https://doi.org/10.1101/2021.01.28.428654; this version posted January 29, 2021. 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. Long Reads Capture Simultaneous Enhancer- Promoter Methylation Status for Cell-type Deconvolution Sapir Margalit1,2, Yotam Abramson1,2, Hila Sharim1,2, Zohar Manber2,3, Surajit Bhattacharya4, Yi-Wen Chen4,5, Eric Vilain4,5, Hayk Barseghyan4,5, Ran Elkon2,3, Roded Sharan2,6* and Yuval Ebenstein1,2* 1Department of physical chemistry, Tel Aviv University, Tel Aviv 6997801, Israel., 2Edmond J. Safra Center for Bioinformatics, Tel Aviv University, Tel Aviv, Israel., 3Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel., 4Center for Genetic Medicine Research, Children’s National Hospital, 111 Michigan Avenue NW, Washington DC 20010, USA., 5Department of Genomics and Precision Medicine, George Washington University 1918 F Street, NW Washington, DC 20052, USA., 6School of Computer Science, Tel-Aviv University, Tel-Aviv 6997801, Israel.*Corresponding Author Abstract Motivation: While promoter methylation is associated with reinforcing fundamental tissue identities, the methylation status of distant enhancers was shown by genome-wide association studies to be a powerful determinant of cell-state and cancer. With recent availability of long-reads that report on the methylation status of enhancer-promoter pairs on the same molecule, we hypothesized that probing these pairs on the single-molecule level may serve the basis for detection of rare cancerous transformations in a given cell population. We explore various analysis approaches for deconvolving cell-type mixtures based on their genome-wide enhancer-promoter methylation profiles. -
Preinitiation Complex
Science Highlight – June 2011 Transcription Starts Here: Structural Models of a “Minimal” Preinitiation Complex RNA polymerase II (pol II) plays a central role in the regulation of gene expression. Pol II is the enzyme responsible for synthesizing all the messenger RNA (mRNA) and most of the small nuclear RNA (snRNA) in eukaryotes. One of the key questions for transcription is how pol II decides where to start on the genomic DNA to specifically and precisely turn on a gene. This is achieved during transcription initiation by concerted actions of the core enzyme pol II and a myriad of transcription factors including five general transcription factors, known as TFIIB, -D, -E, -F, -H, which together form a giant transcription preinitiation complex on a promoter prior to transcription. One of the most prominent core promoter DNA elements is the TATA box, usually directing transcription of tissue-specific genes. TATA-box binding protein (TBP), a key component of TFIID, recognizes the TATA DNA sequence. Based on the previous crystallographic studies, the TATA box DNA is bent by nearly 90 degree through the binding of TBP (1). This striking structural feature is thought to serve as a physical landmark for the location of active genes on the genome. In addition, the location of the TATA box at least in part determines the transcription start site (TSS) in most eukaryotes, including humans. The distance between the TATA box and the TSS is conserved at around 30 base pairs. TBP does not contact pol II directly and the TATA-containing promoter must be directed to the core enzyme through another essential transcription factor TFIIB. -
Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?
Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Science (Cancer Biology) Aneuploidy: Using genetic instability to preserve a haploid genome? Submitted by: Ramona Ramdath In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Science Examination Committee Signature/Date Major Advisor: David Allison, M.D., Ph.D. Academic James Trempe, Ph.D. Advisory Committee: David Giovanucci, Ph.D. Randall Ruch, Ph.D. Ronald Mellgren, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: April 10, 2009 Aneuploidy: Using genetic instability to preserve a haploid genome? Ramona Ramdath University of Toledo, Health Science Campus 2009 Dedication I dedicate this dissertation to my grandfather who died of lung cancer two years ago, but who always instilled in us the value and importance of education. And to my mom and sister, both of whom have been pillars of support and stimulating conversations. To my sister, Rehanna, especially- I hope this inspires you to achieve all that you want to in life, academically and otherwise. ii Acknowledgements As we go through these academic journeys, there are so many along the way that make an impact not only on our work, but on our lives as well, and I would like to say a heartfelt thank you to all of those people: My Committee members- Dr. James Trempe, Dr. David Giovanucchi, Dr. Ronald Mellgren and Dr. Randall Ruch for their guidance, suggestions, support and confidence in me. My major advisor- Dr. David Allison, for his constructive criticism and positive reinforcement.