Intrinsic Specificity of DNA Binding and Function of Class II Bhlh
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SUPPLEMENTAL MATERIALS Simple biochemical features underlie transcriptional activation domain diversity and dynamic, fuzzy binding to Mediator Adrian L. Sanborn,1,2,* Benjamin T. Yeh,2 Jordan T. Feigerle,1 Cynthia V. Hao,1 Raphael J. L. Townshend,2 Erez Lieberman Aiden,3,4 Ron O. Dror,2 Roger D. Kornberg1,*,+ 1Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA 2Department of Computer Science, Stanford University, Stanford, CA 94305, USA 3The Center for Genome Architecture, Baylor College of Medicine, Houston, USA 4Center for Theoretical Biological Physics, Rice University, Houston, USA *Correspondence: [email protected], [email protected] +Lead Contact 1 A B Empty GFP Count Count Count VP16 AD mCherry mCherry GFP C G Count 2 AD tiles 10 Random sequences 2 12 10 10 Gcn4 AD 8 1 10 1 6 10 Z-score Activation 4 Count 2 0 Activation, second library 0 10 0 10 Gal4 Gln3 Hap4 Ino2 Ino2 Msn2 Oaf1 Pip2 VP16 VP64 r = 0.952 Pho4 AD 147 104 112 1 108 234 995 944 0 1 2 Synonymously encoded control ADs 10 10 10 Activation, first library Count H 102 GFP 101 D E Empty VP16 activation 100 80% Mean positional VP16 AD 0 200 400 600 800 1000 1200 60% Position in Adr1 protein 40% By FACS GFP By sequencing I 20% 50% 0% Percent of cells 1 2 3 4 5 6 7 8 mCherry mCherry 25% 80% Gcn4 AD 60% Empty VP16 0% 40% AD at position with Percent of proteins 0.0 0.2 0.4 0.6 0.8 1.0 20% Position on protein, normalized 0% Percent of cells 100% 1 2 3 4 5 6 7 8 100% 80% 75% 75% Pho4 AD / mCherry ratio GFP 60% GFP GFP 50% 50% 40% 20% 25% 25% C-term ADs 0% ADs Percent of Percent of cells Other ADs 0% 1 2 3 4 5 6 7 8 0% 1 2 F 25 50 75 100 125 10 10 Gcn4 hydrophobic mutants (cumulative distribution) GFP bin number 1 AD length Activation J 1.0 0 0.8 0.6 0.4 −1 (log2 change vs wild-type) 0.2 Frequency of aTF expression 5 10 15 TFs without ADs falling within sorted mCh range Hydrophobic content 0.0 TFs with ADs Cumulative fraction of TFs (kcal/mol) 0.0 0.2 0.4 0.6 0.8 1.0 Fraction of genes regulated by TF that are activating Figure S1. -
The REST/NRSF Pathway As a Central Mechanism in CNS Dysfunction
The REST/NRSF Pathway as a Central Mechanism in CNS Dysfunction Thesis submitted in accordance with the requirements of the University of Liverpool for the degree of Doctor in Philosophy by Alix Warburton April 2015 Disclaimer The data in this thesis is a result of my own work. The material collected for this thesis has not been presented, nor is currently being presented, either wholly or in part for any other degree or other qualification. All of the research, unless otherwise stated, was performed in the Department of Physiology and Department of Pharmacology, Institute of Translational Medicine, University of Liverpool. All other parties involved in the research presented here, and the nature of their contribution, are listed in the Acknowledgements section of this thesis. i Acknowledgements First and foremost, I would like to express my upmost gratitude to my primary and secondary supervisors Professor John Quinn (a.k.a Prof. Quinny) and Dr Jill Bubb for all of their support, guidance, wisdom (thank you Jill) and encouragement throughout my PhD; I could not have wished for a better pair. I am also extremely grateful to the BBSRC for funding my PhD project. I would also like to extend my thanks to Dr Graeme Sills for providing samples and assistance with my work on the SANAD epilepsy project, Dr Fabio Miyajima for offering his knowledge and knowhow on many occasions, Dr Gerome Breen for being a bioinformatics wizard and providing support on several projects, Dr Minyan Wang’s lab for their help and hospitality during my 3 month visit to Xi'an Jiaotong-Liverpool University, Dr Roshan Koron for assisting with the breast cancer study, Dr Chris Murgatroyd for his invaluable advice on ChIP and Professor Dan Rujescu’s lab for providing clinical samples and support with statistical analyses on the schizophrenia project. -
Single-Cell Sequencing of Human Ipsc-Derived Cerebellar Organoids Shows Recapitulation of Cerebellar Development
bioRxiv preprint doi: https://doi.org/10.1101/2020.07.01.182196; this version posted July 1, 2020. 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. Single-cell sequencing of human iPSC-derived cerebellar organoids shows recapitulation of cerebellar development Samuel Nayler1*, Devika Agarwal3, Fabiola Curion2, Rory Bowden2,4, Esther B.E. Becker1,5* 1Department of Physiology, Anatomy and Genetics; University of Oxford; Oxford, OX1 3PT; United Kingdom 2Wellcome Centre for Human Genetics; University of Oxford; Oxford, OX3 7BN; United Kingdom 3Weatherall Institute for Molecular Medicine; University of Oxford; Oxford, OX3 7BN; United Kingdom 4Present address: Walter and Eliza Hall Institute of Medical Research, Parkville Victoria 3052; Australia 5Lead contact *Correspondence: [email protected], [email protected] Running title: hiPSC-derived cerebellar organoids 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.07.01.182196; this version posted July 1, 2020. 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. ABSTRACT Current protocols for producing cerebellar neurons from human pluripotent stem cells (hPSCs) are reliant on animal co-culture and mostly exist as monolayers, which have limited capability to recapitulate the complex arrangement of the brain. We developed a method to differentiate hPSCs into cerebellar organoids that display hallmarks of in vivo cerebellar development. Single- cell profiling followed by comparison to an atlas of the developing murine cerebellum revealed transcriptionally-discrete populations encompassing all major cerebellar cell types. -
Mediator of DNA Damage Checkpoint 1 (MDC1) Is a Novel Estrogen Receptor Co-Regulator in Invasive 6 Lobular Carcinoma of the Breast 7 8 Evelyn K
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.16.423142; this version posted December 16, 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-NC 4.0 International license. 1 Running Title: MDC1 co-regulates ER in ILC 2 3 Research article 4 5 Mediator of DNA damage checkpoint 1 (MDC1) is a novel estrogen receptor co-regulator in invasive 6 lobular carcinoma of the breast 7 8 Evelyn K. Bordeaux1+, Joseph L. Sottnik1+, Sanjana Mehrotra1, Sarah E. Ferrara2, Andrew E. Goodspeed2,3, James 9 C. Costello2,3, Matthew J. Sikora1 10 11 +EKB and JLS contributed equally to this project. 12 13 Affiliations 14 1Dept. of Pathology, University of Colorado Anschutz Medical Campus 15 2Biostatistics and Bioinformatics Shared Resource, University of Colorado Comprehensive Cancer Center 16 3Dept. of Pharmacology, University of Colorado Anschutz Medical Campus 17 18 Corresponding author 19 Matthew J. Sikora, PhD.; Mail Stop 8104, Research Complex 1 South, Room 5117, 12801 E. 17th Ave.; Aurora, 20 CO 80045. Tel: (303)724-4301; Fax: (303)724-3712; email: [email protected]. Twitter: 21 @mjsikora 22 23 Authors' contributions 24 MJS conceived of the project. MJS, EKB, and JLS designed and performed experiments. JLS developed models 25 for the project. EKB, JLS, SM, and AEG contributed to data analysis and interpretation. SEF, AEG, and JCC 26 developed and performed informatics analyses. MJS wrote the draft manuscript; all authors read and revised the 27 manuscript and have read and approved of this version of the manuscript. -
Chromatin Dynamics in The
TRANSCRIPTION AND CHROMATIN DYNAMICS IN THE NOTCH SIGNALLING RESPONSE Zoe Pillidge Churchill College Department of Physiology, Development and Neuroscience University of Cambridge This dissertation is submitted for the degree of Doctor of Philosophy September 2018 TRANSCRIPTION AND CHROMATIN DYNAMICS IN THE NOTCH SIGNALLING RESPONSE During normal development, different genes are expressed in different cell types, often directed by cell signalling pathways and the pre-existing chromatin environment. The highly-conserved Notch signalling pathway is involved in many cell fate decisions during development, activating different target genes in different contexts. Upon ligand binding, the Notch receptor itself is cleaved, allowing the intracellular domain to travel to the nucleus and activate gene expression with the transcription factor known as Suppressor of Hairless (Su(H)) in Drosophila melanogaster. It is remarkable how, with such simplicity, the pathway can have such diverse outcomes while retaining precision, speed and robustness in the transcriptional response. The primary goal of this PhD has been to gain a better understanding of this process of rapid transcriptional activation in the context of the chromatin environment. To learn about the dynamics of the Notch transcriptional response, a live imaging approach was used in Drosophila Kc167 cells to visualise the transcription of a Notch-responsive gene in real time. With this technique, it was found that Notch receptor cleavage and trafficking can take place within 15 minutes to activate target gene expression, but that a ligand-receptor interaction between neighbouring cells may take longer. These experiments provide new data about the dynamics of the Notch response which could not be obtained with static time-point experiments. -
Accompanies CD8 T Cell Effector Function Global DNA Methylation
Global DNA Methylation Remodeling Accompanies CD8 T Cell Effector Function Christopher D. Scharer, Benjamin G. Barwick, Benjamin A. Youngblood, Rafi Ahmed and Jeremy M. Boss This information is current as of October 1, 2021. J Immunol 2013; 191:3419-3429; Prepublished online 16 August 2013; doi: 10.4049/jimmunol.1301395 http://www.jimmunol.org/content/191/6/3419 Downloaded from Supplementary http://www.jimmunol.org/content/suppl/2013/08/20/jimmunol.130139 Material 5.DC1 References This article cites 81 articles, 25 of which you can access for free at: http://www.jimmunol.org/content/191/6/3419.full#ref-list-1 http://www.jimmunol.org/ Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists by guest on October 1, 2021 • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2013 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Global DNA Methylation Remodeling Accompanies CD8 T Cell Effector Function Christopher D. Scharer,* Benjamin G. Barwick,* Benjamin A. Youngblood,*,† Rafi Ahmed,*,† and Jeremy M. -
Download and Analyze Large-Scale Cancer Studies Such As the Cancer Genome Atlas (TCGA) Studies for Different Cancers (189)
MECHANISMS OF TREATMENT INDUCED CELL PLASTICITY IN PROSTATE CANCER by Daksh Thaper BSc, Simon Fraser University, 2012 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF Doctor of Philosophy in THE FACULTY OF GRADUATE AND POSTDOCTORAL STUDIES (Experimental Medicine) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) August 2018 © Daksh Thaper, 2018 i Examining Committee The following individuals certify that they have read, and recommend to the Faculty of Graduate and Postdoctoral Studies for acceptance, the dissertation entitled: Mechanism of treatment induced cell plasticity in prostate cancer in partial fulfillment of the requirements submitted by Daksh Thaper for the degree of Doctor of Philosophy in Experimental Medicine Examining Committee: Dr. Amina Zoubeidi, Associate Professor, Department of Urologic Sciences Supervisor Dr. Michael Cox, Associate Professor, Department of Urologic Sciences Supervisory Committee Member Dr. Christopher Maxwell, Associate Professor, Department of Pediatrics Supervisory Committee Member Dr. Shoukat Dedhar, Professor, Department of Biochemistry Supervisory Committee Member Dr. Calvin Roskelley, Professor, Department of Cellular and Physiological Sciences University Examiner Dr. Wan Lam, Professor, Department of Pathology and Laboratory Medicine University Examiner ii Abstract While effective, resistance to 1st generation and 2nd generation androgen receptor (AR) pathway inhibitors is inevitable, creating a need to study the mechanisms by which prostate cancer (PCa) cells become resistant to these treatments. At its core, resistance can be categorized into AR driven and non-AR driven. The research presented in this thesis explores the hypothesis that non-AR driven resistance mechanisms exploit cellular plasticity to gain a survival advantage. Previous research has demonstrated that in response to 1st generation anti-androgens, epithelial PCa cells can undergo an epithelial-mesenchymal transition (EMT); a process implicated in metastatic dissemination of cancer cells throughout the body. -
Integrative Analysis of Single-Cell Genomics Data by Coupled Nonnegative Matrix Factorizations
Integrative analysis of single-cell genomics data by coupled nonnegative matrix factorizations Zhana Durena,b,1, Xi Chena,b,1, Mahdi Zamanighomia,b,c,1, Wanwen Zenga,b,d, Ansuman T. Satpathyc, Howard Y. Changc, Yong Wange,f, and Wing Hung Wonga,b,c,2 aDepartment of Statistics, Stanford University, Stanford, CA 94305; bDepartment of Biomedical Data Science, Stanford University, Stanford, CA 94305; cCenter for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305; dMinistry of Education Key Laboratory of Bioinformatics, Bioinformatics Division and Center for Synthetic & Systems Biology, Department of Automation, Tsinghua University, 100084 Beijing, China; eAcademy of Mathematics and Systems Science, Chinese Academy of Sciences, 100080 Beijing, China; and fCenter for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, 650223 Kunming, China Contributed by Wing Hung Wong, June 14, 2018 (sent for review April 4, 2018; reviewed by Andrew D. Smith and Nancy R. Zhang) When different types of functional genomics data are generated on Approach single cells from different samples of cells from the same hetero- Coupled NMF. We first introduce our approach in general terms. geneous population, the clustering of cells in the different samples Let O be a p1 by n1 matrix representing data on p1 features for n1 should be coupled. We formulate this “coupled clustering” problem units in the first sample; then a “soft” clustering of the units in as an optimization problem and propose the method of coupled this sample can be obtained from a nonnegative factorization nonnegative matrix factorizations (coupled NMF) for its solution. O = W1H1 as follows: The ith column of W1 gives the mean The method is illustrated by the integrative analysis of single-cell vector for the ith cluster of units, while the jth column of H1 gives RNA-sequencing (RNA-seq) and single-cell ATAC-sequencing (ATAC- the assignment weights of the jth unit to the different clusters. -
An Activation-Specific Role for Transcription Factor TFIIB in Vivo (Sua7͞pho4͞pho5͞transcriptional Control)
Proc. Natl. Acad. Sci. USA Vol. 96, pp. 2764–2769, March 1999 Biochemistry An activation-specific role for transcription factor TFIIB in vivo (SUA7yPho4yPHO5ytranscriptional control) WEI-HUA WU AND MICHAEL HAMPSEY* Department of Biochemistry, Division of Nucleic Acids Enzymology, University of Medicine and Dentistry of New Jersey-Robert Wood Johnson Medical School, 675 Hoes Lane, Piscataway, NJ 08854-5635 Edited by Robert G. Roeder, The Rockefeller University, New York, NY, and approved January 20, 1999 (received for review November 9, 1998) ABSTRACT A yeast mutant was isolated encoding a sin- a study of PIC formation and transcriptional activity demon- gle amino acid substitution [serine-53 3 proline (S53P)] in strated that PIC assembly occurs by at least two steps and that transcription factor TFIIB that impairs activation of the the TATA box and TFIIB also can affect transcription subse- PHO5 gene in response to phosphate starvation. This effect is quent to PIC assembly (11). Thus, processes other than factor activation-specific because S53P did not affect the uninduced recruitment are potential activator targets. level of PHO5 expression, yet is not specific to PHO5 because TFIIB is recruited to the PIC by the acidic activator VP16 Adr1-mediated activation of the ADH2 gene also was impaired and the proline-rich activator CTF1 (3, 12). VP16 directly by S53P. Pho4, the principal activator of PHO5, directly targets TFIIB (3) and this interaction is required for activation interacted with TFIIB in vitro, and this interaction was (13, 14). Interestingly, VP16 induces a conformational change impaired by the S53P replacement. Furthermore, Pho4 in- in TFIIB that disrupts the intramolecular interaction between duced a conformational change in TFIIB, detected by en- the N- and C-terminal domains in solution (15). -
The HLH-6 Transcription Factor Regulates C
The HLH-6 Transcription Factor Regulates C. elegans Pharyngeal Gland Development and Function Ryan B. Smit1, Ralf Schnabel2, Jeb Gaudet1,3* 1 Genes and Development Research Group, Department of Biochemistry and Molecular Biology, University of Calgary, Calgary, Alberta, Canada, 2 Institut fu¨r Genetik, Technische Universita¨t Braunschweig, Braunschweig, Germany, 3 Department of Medical Genetics, University of Calgary, Calgary, Alberta, Canada Abstract The Caenorhabditis elegans pharynx (or foregut) functions as a pump that draws in food (bacteria) from the environment. While the ‘‘organ identity factor’’ PHA-4 is critical for formation of the C. elegans pharynx as a whole, little is known about the specification of distinct cell types within the pharynx. Here, we use a combination of bioinformatics, molecular biology, and genetics to identify a helix-loop-helix transcription factor (HLH-6) as a critical regulator of pharyngeal gland development. HLH-6 is required for expression of a number of gland-specific genes, acting through a discrete cis-regulatory element named PGM1 (Pharyngeal Gland Motif 1). hlh-6 mutants exhibit a frequent loss of a subset of glands, while the remaining glands have impaired activity, indicating a role for hlh-6 in both gland development and function. Interestingly, hlh-6 mutants are also feeding defective, ascribing a biological function for the glands. Pharyngeal pumping in hlh-6 mutants is normal, but hlh-6 mutants lack expression of a class of mucin-related proteins that are normally secreted by pharyngeal glands and line the pharyngeal cuticle. An interesting possibility is that one function of pharyngeal glands is to secrete a pharyngeal lining that ensures efficient transport of food along the pharyngeal lumen. -
Early B Cell Factor 1 Regulates B Cell Gene Networks by Activation, Repression, and Transcription- Independent Poising of Chromatin
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Immunity Resource Early B Cell Factor 1 Regulates B Cell Gene Networks by Activation, Repression, and Transcription- Independent Poising of Chromatin Thomas Treiber,1,3 Elizabeth M. Mandel,1,3 Sebastian Pott,2,3 Ildiko Gyo¨ ry,1,3 Sonja Firner,1 Edison T. Liu,2 and Rudolf Grosschedl1,* 1Max Planck Institute of Immunobiology, Department of Cellular and Molecular Immunology, Stuebeweg 51, 79108 Freiburg, Germany 2Genome Institute of Singapore, Cancer Biology and Pharmacology, 60 Biopolis Street, 138672 Singapore 3These authors contributed equally to this work *Correspondence: [email protected] DOI 10.1016/j.immuni.2010.04.013 SUMMARY (reviewed in Hardy et al., 2007; Murre, 2009). Pre-B cells express the pre-B cell receptor (pre-BCR) and further differentiate into The transcription factor early B cell factor-1 (Ebf1) is immature B cells that have undergone Ig light chain gene rear- a key determinant of B lineage specification and rangement and migrate from the bone marrow to the spleen. differentiation. To gain insight into the molecular Each of these B cell differentiation steps is dependent on basis of Ebf1 function in early-stage B cells, we the coordinated expression of cell-type-specific transcription combined a genome-wide ChIP sequencing analysis factors and activities of signaling pathways (reviewed in Mandel with gain- and loss-of-function transcriptome anal- and Grosschedl, 2010). Genetic ablation and complementation studies have demonstrated key roles for transcription factors yses. Among 565 genes that are occupied and tran- such as Ikaros, Pu.1, E2A, early B cell factor-1 (Ebf1), and scriptionally regulated by Ebf1, we identified large Pax5 (reviewed in Busslinger, 2004; Hagman and Lukin, 2006; sets involved in (pre)-B cell receptor and Akt Singh et al., 2007). -
Ebf1-Mediated Down-Regulation of Id2 and Id3 Is Essential for Specification of the B Cell Lineage
Ebf1-mediated down-regulation of Id2 and Id3 is essential for specification of the B cell lineage Melissa A. Thala, Thiago L. Carvalhoa,TiHea, Hyung-Gyoon Kima, Hua Gaob, James Hagmanb, and Christopher A. Kluga,1 aDepartment of Microbiology, The University of Alabama-Birmingham, Birmingham, AL 35294; and bIntegrated Department of Immunology, National Jewish Medical and Research Center, Denver, CO 80206 Edited by Cornelis Murre, University of California, San Diego, La Jolla, CA, and accepted by the Editorial Board November 7, 2008 (received for review March 13, 2008) Gene knockout experiments in mice have suggested a hierarchical of E47 (13) or E12 (14) in non-B-lineage cell lines, suggest that model of early B cell commitment wherein E2A proteins (E47 and E2A activity is essential upstream of Ebf1. Similarly, the Pax5 E12) activate early B cell factor (Ebf1), which in turn activates promoter is bound by Ebf1 based on EMSA and Ebf1 can expression of the B cell commitment factor, Pax5. In IL-7 receptor transactivate the Pax5 promoter in transient co-transfection alpha (IL-7R␣) knockout mice, B cell development is blocked before assays (15, 16). Ebf1 is also present in Pax5-deficient pro-B cells B-lineage commitment at the prepro-B cell stage in adult animals. derived from Pax5Ϫ/Ϫ adult mice (17), suggesting that Ebf1 may In IL-7R␣؊/؊ prepro-B cells, E47 is expressed and yet is insufficient participate in the activation of Pax5 expression. Complicating the to transcriptionally activate the putative downstream target gene, simple hierarchical model where E2A induces expression of Ebf1.