Modeling the Regulatory Switches of the PITX1 Gene Educator Materials
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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. -
Insights Into Comparative Genomics, Codon Usage Bias, And
plants Article Insights into Comparative Genomics, Codon Usage Bias, and Phylogenetic Relationship of Species from Biebersteiniaceae and Nitrariaceae Based on Complete Chloroplast Genomes Xiaofeng Chi 1,2 , Faqi Zhang 1,2 , Qi Dong 1,* and Shilong Chen 1,2,* 1 Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810008, China; [email protected] (X.C.); [email protected] (F.Z.) 2 Qinghai Provincial Key Laboratory of Crop Molecular Breeding, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810008, China * Correspondence: [email protected] (Q.D.); [email protected] (S.C.) Received: 29 October 2020; Accepted: 17 November 2020; Published: 18 November 2020 Abstract: Biebersteiniaceae and Nitrariaceae, two small families, were classified in Sapindales recently. Taxonomic and phylogenetic relationships within Sapindales are still poorly resolved and controversial. In current study, we compared the chloroplast genomes of five species (Biebersteinia heterostemon, Peganum harmala, Nitraria roborowskii, Nitraria sibirica, and Nitraria tangutorum) from Biebersteiniaceae and Nitrariaceae. High similarity was detected in the gene order, content and orientation of the five chloroplast genomes; 13 highly variable regions were identified among the five species. An accelerated substitution rate was found in the protein-coding genes, especially clpP. The effective number of codons (ENC), parity rule 2 (PR2), and neutrality plots together revealed that the codon usage bias is affected by mutation and selection. The phylogenetic analysis strongly supported (Nitrariaceae (Biebersteiniaceae + The Rest)) relationships in Sapindales. Our findings can provide useful information for analyzing phylogeny and molecular evolution within Biebersteiniaceae and Nitrariaceae. -
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. -
Mutation Bias Shapes Gene Evolution in Arabidopsis Thaliana
bioRxiv preprint doi: https://doi.org/10.1101/2020.06.17.156752; this version posted June 18, 2020. 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. Mutation bias shapes gene evolution in Arabidopsis thaliana 1,2† 1 1 3,4 Monroe, J. Grey , Srikant, Thanvi , Carbonell-Bejerano, Pablo , Exposito-Alonso, Moises , 5 6 7 1† Weng, Mao-Lun , Rutter, Matthew T. , Fenster, Charles B. , Weigel, Detlef 1 Department of Molecular Biology, Max Planck Institute for Developmental Biology, 72076 Tübingen, Germany 2 Department of Plant Sciences, University of California Davis, Davis, CA 95616, USA 3 Department of Plant Biology, Carnegie Institution for Science, Stanford, CA 94305, USA 4 Department of Biology, Stanford University, Stanford, CA 94305, USA 5 Department of Biology, Westfield State University, Westfield, MA 01086, USA 6 Department of Biology, College of Charleston, SC 29401, USA 7 Department of Biology and Microbiology, South Dakota State University, Brookings, SD 57007, USA † corresponding authors: [email protected], [email protected] Classical evolutionary theory maintains that mutation rate variation between genes should be random with respect to fitness 1–4 and evolutionary optimization of genic 3,5 mutation rates remains controversial . However, it has now become known that cytogenetic (DNA sequence + epigenomic) features influence local mutation probabilities 6 , which is predicted by more recent theory to be a prerequisite for beneficial mutation 7 rates between different classes of genes to readily evolve . To test this possibility, we used de novo mutations in Arabidopsis thaliana to create a high resolution predictive model of mutation rates as a function of cytogenetic features across the genome. -
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. -
SUPPLEMENTARY MATERIAL Bone Morphogenetic Protein 4 Promotes
www.intjdevbiol.com doi: 10.1387/ijdb.160040mk SUPPLEMENTARY MATERIAL corresponding to: Bone morphogenetic protein 4 promotes craniofacial neural crest induction from human pluripotent stem cells SUMIYO MIMURA, MIKA SUGA, KAORI OKADA, MASAKI KINEHARA, HIROKI NIKAWA and MIHO K. FURUE* *Address correspondence to: Miho Kusuda Furue. Laboratory of Stem Cell Cultures, National Institutes of Biomedical Innovation, Health and Nutrition, 7-6-8, Saito-Asagi, Ibaraki, Osaka 567-0085, Japan. Tel: 81-72-641-9819. Fax: 81-72-641-9812. E-mail: [email protected] Full text for this paper is available at: http://dx.doi.org/10.1387/ijdb.160040mk TABLE S1 PRIMER LIST FOR QRT-PCR Gene forward reverse AP2α AATTTCTCAACCGACAACATT ATCTGTTTTGTAGCCAGGAGC CDX2 CTGGAGCTGGAGAAGGAGTTTC ATTTTAACCTGCCTCTCAGAGAGC DLX1 AGTTTGCAGTTGCAGGCTTT CCCTGCTTCATCAGCTTCTT FOXD3 CAGCGGTTCGGCGGGAGG TGAGTGAGAGGTTGTGGCGGATG GAPDH CAAAGTTGTCATGGATGACC CCATGGAGAAGGCTGGGG MSX1 GGATCAGACTTCGGAGAGTGAACT GCCTTCCCTTTAACCCTCACA NANOG TGAACCTCAGCTACAAACAG TGGTGGTAGGAAGAGTAAAG OCT4 GACAGGGGGAGGGGAGGAGCTAGG CTTCCCTCCAACCAGTTGCCCCAAA PAX3 TTGCAATGGCCTCTCAC AGGGGAGAGCGCGTAATC PAX6 GTCCATCTTTGCTTGGGAAA TAGCCAGGTTGCGAAGAACT p75 TCATCCCTGTCTATTGCTCCA TGTTCTGCTTGCAGCTGTTC SOX9 AATGGAGCAGCGAAATCAAC CAGAGAGATTTAGCACACTGATC SOX10 GACCAGTACCCGCACCTG CGCTTGTCACTTTCGTTCAG Suppl. Fig. S1. Comparison of the gene expression profiles of the ES cells and the cells induced by NC and NC-B condition. Scatter plots compares the normalized expression of every gene on the array (refer to Table S3). The central line -
Molecular Basis of the Function of Transcriptional Enhancers
cells Review Molecular Basis of the Function of Transcriptional Enhancers 1,2, 1, 1,3, Airat N. Ibragimov y, Oleg V. Bylino y and Yulii V. Shidlovskii * 1 Laboratory of Gene Expression Regulation in Development, Institute of Gene Biology, Russian Academy of Sciences, 34/5 Vavilov St., 119334 Moscow, Russia; [email protected] (A.N.I.); [email protected] (O.V.B.) 2 Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Institute of Gene Biology, Russian Academy of Sciences, 34/5 Vavilov St., 119334 Moscow, Russia 3 I.M. Sechenov First Moscow State Medical University, 8, bldg. 2 Trubetskaya St., 119048 Moscow, Russia * Correspondence: [email protected]; Tel.: +7-4991354096 These authors contributed equally to this study. y Received: 30 May 2020; Accepted: 3 July 2020; Published: 5 July 2020 Abstract: Transcriptional enhancers are major genomic elements that control gene activity in eukaryotes. Recent studies provided deeper insight into the temporal and spatial organization of transcription in the nucleus, the role of non-coding RNAs in the process, and the epigenetic control of gene expression. Thus, multiple molecular details of enhancer functioning were revealed. Here, we describe the recent data and models of molecular organization of enhancer-driven transcription. Keywords: enhancer; promoter; chromatin; transcriptional bursting; transcription factories; enhancer RNA; epigenetic marks 1. Introduction Gene transcription is precisely organized in time and space. The process requires the participation of hundreds of molecules, which form an extensive interaction network. Substantial progress was achieved recently in our understanding of the molecular processes that take place in the cell nucleus (e.g., see [1–9]). -
Cell-Specific Alterations in Pitx1 Regulatory Landscape Activation Caused 2 by the Loss of a Single Enhancer
bioRxiv preprint doi: https://doi.org/10.1101/2021.03.10.434611; this version posted March 10, 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-ND 4.0 International license. 1 Cell-specific alterations in Pitx1 regulatory landscape activation caused 2 by the loss of a single enhancer 3 4 5 Raquel Rouco1,2*, Olimpia Bompadre1,2*, Antonella Rauseo1,2, Olivier Fazio3, Fabrizio Thorel3, 6 Rodrigue Peraldi1,2, Guillaume Andrey1,2 7 8 9 1Department of Genetic Medicine and Development, Faculty of Medicine, University of 10 Geneva, Geneva, Switzerland 11 2Institute of Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, 12 Switzerland 13 3 Transgenesis Core Facility, Faculty of Medicine, University of Geneva, Geneva, Switzerland 14 15 *Authors contributed equally 16 Correspondence: [email protected] 17 bioRxiv preprint doi: https://doi.org/10.1101/2021.03.10.434611; this version posted March 10, 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-ND 4.0 International license. 18 Abstract 19 20 Most developmental genes rely on multiple transcriptional enhancers for their accurate expression 21 during embryogenesis. Because enhancers may have partially redundant activities, the loss of one 22 of them often leads to a partial loss of gene expression and concurrent moderate phenotypic 23 outcome, if any. -
Structure, Function, and Evolution of a Signal-Regulated Enhancer
Structure, Function, and Evolution of a Signal-Regulated Enhancer by Christina Ione Swanson A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Cell and Developmental Biology) in the University of Michigan 2010 Doctoral Committee: Assistant Professor Scott E. Barolo, Chair Professor J. Douglas Engel Associate Professor Kenneth M. Cadigan Associate Professor Billy Tsai Assistant Professor Patricia J. Wittkopp To my family, for your truly unconditional love and support. And to Mike - the best thing that happened to me in grad school. ii TABLE OF CONTENTS DEDICATION .................................................................................................................. ii LIST OF FIGURES ............................................................................................................ v CHAPTER I: INTRODUCTION ....................................................................................... 1 What do enhancers look like? ................................................................................ 2 Mechanisms of enhancer function ......................................................................... 3 Enhancer structure and organization ...................................................................... 6 Unanswered questions in the field ....................................................................... 10 The D-Pax2 sparkling enhancer .......................................................................... 12 CHAPTER II: STRUCTURAL RULES -
Chapter 3. the Beginnings of Genomic Biology – Molecular
Chapter 3. The Beginnings of Genomic Biology – Molecular Genetics Contents 3. The beginnings of Genomic Biology – molecular genetics 3.1. DNA is the Genetic Material 3.6.5. Translation initiation, elongation, and termnation 3.2. Watson & Crick – The structure of DNA 3.6.6. Protein Sorting in Eukaryotes 3.3. Chromosome structure 3.7. Regulation of Eukaryotic Gene Expression 3.3.1. Prokaryotic chromosome structure 3.7.1. Transcriptional Control 3.3.2. Eukaryotic chromosome structure 3.7.2. Pre-mRNA Processing Control 3.3.3. Heterochromatin & Euchromatin 3.4. DNA Replication 3.7.3. mRNA Transport from the Nucleus 3.4.1. DNA replication is semiconservative 3.7.4. Translational Control 3.4.2. DNA polymerases 3.7.5. Protein Processing Control 3.4.3. Initiation of replication 3.7.6. Degradation of mRNA Control 3.4.4. DNA replication is semidiscontinuous 3.7.7. Protein Degradation Control 3.4.5. DNA replication in Eukaryotes. 3.8. Signaling and Signal Transduction 3.4.6. Replicating ends of chromosomes 3.8.1. Types of Cellular Signals 3.5. Transcription 3.8.2. Signal Recognition – Sensing the Environment 3.5.1. Cellular RNAs are transcribed from DNA 3.8.3. Signal transduction – Responding to the Environment 3.5.2. RNA polymerases catalyze transcription 3.5.3. Transcription in Prokaryotes 3.5.4. Transcription in Prokaryotes - Polycistronic mRNAs are produced from operons 3.5.5. Beyond Operons – Modification of expression in Prokaryotes 3.5.6. Transcriptions in Eukaryotes 3.5.7. Processing primary transcripts into mature mRNA 3.6. Translation 3.6.1. -
Genetic Mechanisms of Pitx1 Action in Murine Hindlimb Development
1 Genetic mechanisms of Pitx1 action in murine hindlimb development Stephen Nemec, Division of Experimental Medicine, McGill University, Montreal August 2017 A thesis submitted to McGill University in partial fulfillment of the degree of PhD © Stephen Nemec 2017 2 Table of Contents Contents Page Abstract 4 Acknowledgements 8 Abbreviations 9 Preface – Contribution to knowledge 10 Contribution of authors 11 Introduction 13 Figures 1 and 2: Basics of limb anatomy and development 13 Evolutionary origins of the limb 14 Chick embryology and the early study of the limb 16 Molecular limb development 21 Hox genes – Engines of limb development 25 The genetics of forelimb vs. hindlimb development 30 Pitx1: major regulator of HL-specific pattern 30 Tbx4 and Tbx5 – limb-type-specific Tbox paralogs 35 Tbx4, Tbx5 and developmental anomalies in humans 41 Pitx1 Tbx4 42 Purpose and Aims 45 Pitx1 directly modulates the core limb development 46 program to implement hindlimb identity Contributions 47 Abstract 48 Introduction 49 Results 51 Discussion 60 Materials and Methods 65 Figure Legends 69 Figures 74 Interlude A – From Sox9 to signaling 89 Shh signaling influences the 91 phenotype of Pitx1-/- hindlimbs Contributions 92 Abstract 93 Introduction 94 Results 96 Discussion 98 Materials and Methods 100 Figure Legends 102 Figures 104 Interlude B – Regulatory complexity and developmental constraints 110 3 Table of Contents (continued) Contents Page Regulatory integration of Hox factor action with 111 Tbox factors in limb development Contributions 112 Abstract 113 Introduction 114 Results 116 Discussion 124 Materials and Methods 128 Figure Legends 134 Figures 141 Discussion 152 Evolutionary constraints determine the 152 developmental roles of limb-type-specific genes Future Directions 156 References 159 4 Abstract In tetrapods, the forelimbs (FL) and hindlimbs (HL) emerge from the flank of the developing embryo as buds of mesenchyme sheathed in ectoderm.