Human NF-Κb Repressing Factor Acts As a Stress-Regulated Switch For
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Integrative Analysis Reveals RNA G-Quadruplexes in Utrs Are Selectively Constrained and Enriched for Functional Associations
ARTICLE https://doi.org/10.1038/s41467-020-14404-y OPEN Integrative analysis reveals RNA G-quadruplexes in UTRs are selectively constrained and enriched for functional associations David S.M. Lee 1, Louis R. Ghanem 2* & Yoseph Barash 1,3* G-quadruplex (G4) sequences are abundant in untranslated regions (UTRs) of human messenger RNAs, but their functional importance remains unclear. By integrating multiple 1234567890():,; sources of genetic and genomic data, we show that putative G-quadruplex forming sequences (pG4) in 5’ and 3’ UTRs are selectively constrained, and enriched for cis-eQTLs and RNA-binding protein (RBP) interactions. Using over 15,000 whole-genome sequences, we find that negative selection acting on central guanines of UTR pG4s is comparable to that of missense variation in protein-coding sequences. At multiple GWAS-implicated SNPs within pG4 UTR sequences, we find robust allelic imbalance in gene expression across diverse tissue contexts in GTEx, suggesting that variants affecting G-quadruplex formation within UTRs may also contribute to phenotypic variation. Our results establish UTR G4s as important cis-regulatory elements and point to a link between disruption of UTR pG4 and disease. 1 Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. 2 Division of Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, The Children’s Hospital of Philadelphia and The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA. 3 Department -
Effect of Chromosomal Copy Number Variations on Congenital Birth Defects and Human Developmental Disorders
EFFECT OF CHROMOSOMAL COPY NUMBER VARIATIONS ON CONGENITAL BIRTH DEFECTS AND HUMAN DEVELOPMENTAL DISORDERS APPROVED BY SUPERVISORY COMMITTEE Andrew R. Zinn, M.D., Ph.D Christine K. Garcia, M.D., Ph.D Orson Moe, M.D., Ph.D Ralph DeBerardinis, M.D., Ph.D DEDICATION Many many people have given me love, support, advice, and caffeine over the course of my graduate research to which I am eternally grateful. To Andrew, my mentor for many years and scientific guide- if someday I become half the researcher you are, I will have turned out. There aren’t enough words- thank you, thank you, thank you. To my thesis committee- thank for your insightful comments, direction and criticism and most for your genuine desire to see me succeed. To my collaborators, Vidu Garg and Linda Baker- thank you for sharing your research with a lowly grad student. I would literally have nothing to research without your generosity. To the lab-thanks for listening to boring mitochondrial results each week. I will miss you terribly. To Miguel- No puedo poner a las palabras la profundidad de mi amor para usted. Usted es mi amigo, mi amor, mi corazón, mi amante, mi ayuda y mi ancla. Con usted por mi lado puedo lograr las cosas magníficas que no podría solamente. Te amo. To Justin- the talk of complex four late at night was worth it. Love you. To Kim, Kristen and Adriane- my absolute favorite people- thank you for believing even when I did not. Thank you for listening to me when I needed it most. -
Heat Shock Factor 1 Mediates Latent HIV Reactivation
www.nature.com/scientificreports OPEN Heat Shock Factor 1 Mediates Latent HIV Reactivation Xiao-Yan Pan1,*, Wei Zhao1,2,*, Xiao-Yun Zeng1, Jian Lin1, Min-Min Li3, Xin-Tian Shen1 & Shu-Wen Liu1,2 Received: 19 October 2015 HSF1, a conserved heat shock factor, has emerged as a key regulator of mammalian transcription Accepted: 29 April 2016 in response to cellular metabolic status and stress. To our knowledge, it is not known whether Published: 18 May 2016 HSF1 regulates viral transcription, particularly HIV-1 and its latent form. Here we reveal that HSF1 extensively participates in HIV transcription and is critical for HIV latent reactivation. Mode of action studies demonstrated that HSF1 binds to the HIV 5′-LTR to reactivate viral transcription and recruits a family of closely related multi-subunit complexes, including p300 and p-TEFb. And HSF1 recruits p300 for self-acetylation is also a committed step. The knockout of HSF1 impaired HIV transcription, whereas the conditional over-expression of HSF1 improved that. These findings demonstrate that HSF1 positively regulates the transcription of latent HIV, suggesting that it might be an important target for different therapeutic strategies aimed at a cure for HIV/AIDS. The long-lived latent viral reservoir of HIV-1 prevents its eradication and the development of a cure1. The recent combination antiretroviral therapy (cART) aimed at inhibiting viral enzymatic activities prevents HIV-1 repli- cation and halts the viral destruction of the host immune system2. However, proviruses in the latent reservoir persist in a transcriptionally inactive state, are insuppressible by cART and undetectable by the immune system3. -
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Patterns of DNA methylation on the human X chromosome and use in analyzing X-chromosome inactivation by Allison Marie Cotton B.Sc., The University of Guelph, 2005 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY in The Faculty of Graduate Studies (Medical Genetics) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) January 2012 © Allison Marie Cotton, 2012 Abstract The process of X-chromosome inactivation achieves dosage compensation between mammalian males and females. In females one X chromosome is transcriptionally silenced through a variety of epigenetic modifications including DNA methylation. Most X-linked genes are subject to X-chromosome inactivation and only expressed from the active X chromosome. On the inactive X chromosome, the CpG island promoters of genes subject to X-chromosome inactivation are methylated in their promoter regions, while genes which escape from X- chromosome inactivation have unmethylated CpG island promoters on both the active and inactive X chromosomes. The first objective of this thesis was to determine if the DNA methylation of CpG island promoters could be used to accurately predict X chromosome inactivation status. The second objective was to use DNA methylation to predict X-chromosome inactivation status in a variety of tissues. A comparison of blood, muscle, kidney and neural tissues revealed tissue-specific X-chromosome inactivation, in which 12% of genes escaped from X-chromosome inactivation in some, but not all, tissues. X-linked DNA methylation analysis of placental tissues predicted four times higher escape from X-chromosome inactivation than in any other tissue. Despite the hypomethylation of repetitive elements on both the X chromosome and the autosomes, no changes were detected in the frequency or intensity of placental Cot-1 holes. -
Epigenetic Mechanisms of Lncrnas Binding to Protein in Carcinogenesis
cancers Review Epigenetic Mechanisms of LncRNAs Binding to Protein in Carcinogenesis Tae-Jin Shin, Kang-Hoon Lee and Je-Yoel Cho * Department of Biochemistry, BK21 Plus and Research Institute for Veterinary Science, School of Veterinary Medicine, Seoul National University, Seoul 08826, Korea; [email protected] (T.-J.S.); [email protected] (K.-H.L.) * Correspondence: [email protected]; Tel.: +82-02-800-1268 Received: 21 September 2020; Accepted: 9 October 2020; Published: 11 October 2020 Simple Summary: The functional analysis of lncRNA, which has recently been investigated in various fields of biological research, is critical to understanding the delicate control of cells and the occurrence of diseases. The interaction between proteins and lncRNA, which has been found to be a major mechanism, has been reported to play an important role in cancer development and progress. This review thus organized the lncRNAs and related proteins involved in the cancer process, from carcinogenesis to metastasis and resistance to chemotherapy, to better understand cancer and to further develop new treatments for it. This will provide a new perspective on clinical cancer diagnosis, prognosis, and treatment. Abstract: Epigenetic dysregulation is an important feature for cancer initiation and progression. Long non-coding RNAs (lncRNAs) are transcripts that stably present as RNA forms with no translated protein and have lengths larger than 200 nucleotides. LncRNA can epigenetically regulate either oncogenes or tumor suppressor genes. Nowadays, the combined research of lncRNA plus protein analysis is gaining more attention. LncRNA controls gene expression directly by binding to transcription factors of target genes and indirectly by complexing with other proteins to bind to target proteins and cause protein degradation, reduced protein stability, or interference with the binding of other proteins. -
HSF1-Mediated Control of Cellular Energy Metabolism and Mtorc1 Activation
Author Manuscript Published OnlineFirst on November 19, 2019; DOI: 10.1158/1541-7786.MCR-19-0217 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. HSF1-mediated Control of Cellular Energy Metabolism and mTORC1 Activation Drive Acute T Cell Lymphoblastic Leukemia Progression Binnur Eroglu1, Junfeng Pang1, Xiongjie Jin1, Caixia Xi1, Demetrius Moskophidis1,2 Nahid F. Mivechi1,2, 3 1Molecular Chaperone Biology, Medical College of Georgia, Georgia Cancer Center, 2Department of Medicine, and 3Department of Radiation Oncology, Augusta University, Augusta, Georgia, USA. B. Eroglu and J. Pang contributed equally to this article. Running Title: Increased susceptibility of T-ALL to HSF1 depletion Corresponding Authors: Nahid F. Mivechi, Augusta University, Augusta, 1120 15th St., CN-3153, Augusta, Georgia, 30912; Phone: 706-721-8759; E-mail: [email protected]; and Demetrius Moskophidis, Augusta University, Augusta, 1120 15th St., CN-3143, Augusta, Georgia, 30912; Phone: 706-721-8738; E- mail: [email protected]. Disclosure of potential conflicts of interest: Authors declare no potential conflict of interest. 1 Downloaded from mcr.aacrjournals.org on October 3, 2021. © 2019 American Association for Cancer Research. Author Manuscript Published OnlineFirst on November 19, 2019; DOI: 10.1158/1541-7786.MCR-19-0217 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Abstract Deregulated oncogenic signaling linked to PI3K/AKT and mTORC1 pathway activation is a hallmark of human T cell acute leukemia (T-ALL) pathogenesis and contributes to leukemic cell resistance and adverse prognosis. Notably, although the multi-agent chemotherapy of leukemia leads to a high rate of complete remission, options for salvage therapy for relapsed/refractory disease are limited due to the serious side effects of augmenting cytotoxic chemotherapy. -
HSF1 in the Yeast Saccharomyces Cerevisiaeã
Mol Gen Genet (1997) 255:322±331 Ó Springer-Verlag 1997 ORIGINAL PAPER O. Boscheinen á R. Lyck á C. Queitsch á E. Treuter V. Zimarino á K.-D. Scharf Heat stress transcription factors from tomato can functionally replace HSF1 in the yeast Saccharomyces cerevisiaeà Received: 1 October 1996 / Accepted: 6 December 1996 Abstract The fact that yeast HSF1 is essential for sur- nomeric Hsf has a markedly reduced anity for DNA, as vival under nonstress conditions can be used to test shown by lacZ reporter and band-shift assays. heterologous Hsfs for the ability to substitute for the endogenous protein. Our results demonstrate that like Key words Tomato á Yeast á Heat stress á Transcription Hsf of Drosophila, tomato Hsfs A1 and A2 can func- factor á Thermotolerance tionally replace the corresponding yeast protein, but Hsf B1 cannot. In addition to survival at 28° C, we checked the transformed yeast strains for temperature sensitivity Introduction of growth, induced thermotolerance and activator func- tion using two dierent lacZ reporter constructs. Tests The striking conservation of essential elements of the with full-length Hsfs were supplemented by assays using heat stress response is well documented by the 11 heat mutant Hsfs lacking parts of their C-terminal activator stress protein (Hsp) families, with representatives found region or oligomerization domain, or containing amino in all organisms investigated so far. As molecular acid substitutions in the DNA-binding domain. Re- chaperones, they form part of a homeostatic network markably, results with the yeast system are basically responsible for the proper folding, assembly, intracellu- similar to those obtained by the analysis of the same Hsfs lar distribution and degradation of proteins (see sum- as transcriptional activators in a tobacco protoplast as- maries by Nover 1991; Buchner 1996; Hartl 1996; say. -
Single-Cell RNA Sequencing Analysis of Human Neural Grafts Revealed Unexpected Cell Type Underlying the Genetic Risk of Parkinson’S Disease
Single-cell RNA Sequencing Analysis of Human Neural Grafts Revealed Unexpected Cell Type Underlying the Genetic Risk of Parkinson’s Disease Yingshan Wang1, Gang Wu2 1 Episcopal High School, 1200 N Quaker Ln, Alexandria, VA, USA, 22302 2 Fujian Sanbo Funeng Brain Hospital; Sanbo Brain Hospital Capital Medical University Abstract Parkinson’s disease (PD) is the second most common neurodegenerative disorder, affecting more than 6 million patients globally. Though previous studies have proposed several disease-related molecular pathways, how cell-type specific mechanisms contribute to the pathogenesis of PD is still mostly unknown. In this study, we analyzed single-cell RNA sequencing data of human neural grafts transplanted to the midbrains of rat PD models. Specifically, we performed cell-type identification, risk gene screening, and co-expression analysis. Our results revealed the unexpected genetic risk of oligodendrocytes as well as important pathways and transcription factors in PD pathology. The study may provide an overarching framework for understanding the cell non- autonomous effects in PD, inspiring new research hypotheses and therapeutic strategies. Keywords Parkinson’s Disease; Single-cell RNA Sequencing; Oligodendrocytes; Cell Non-autonomous; Co- expression Analysis; Transcription Factors 1 Table of Contents 1. Introduction ................................................................................................................................. 3 2. Methods...................................................................................................................................... -
HSF1) During Macrophage Differentiation of Monocytes
Leukemia (2014) 28, 1676–1686 & 2014 Macmillan Publishers Limited All rights reserved 0887-6924/14 www.nature.com/leu ORIGINAL ARTICLE Dual regulation of SPI1/PU.1 transcription factor by heat shock factor 1 (HSF1) during macrophage differentiation of monocytes G Jego1,2, D Lanneau1,2, A De Thonel1,2, K Berthenet1,2, A Hazoume´ 1,2, N Droin3,4, A Hamman1,2, F Girodon1,2, P-S Bellaye1,2, G Wettstein1,2, A Jacquel1,2,5, L Duplomb6,7, A Le Moue¨l8,9, C Papanayotou10, E Christians11, P Bonniaud1,2, V Lallemand-Mezger8,9, E Solary3,4 and C Garrido1,2,12 In addition to their cytoprotective role in stressful conditions, heat shock proteins (HSPs) are involved in specific differentiation pathways, for example, we have identified a role for HSP90 in macrophage differentiation of human peripheral blood monocytes that are exposed to macrophage colony-stimulating factor (M-CSF). Here, we show that deletion of the main transcription factor involved in heat shock gene regulation, heat shock factor 1 (HSF1), affects M-CSF-driven differentiation of mouse bone marrow cells. HSF1 transiently accumulates in the nucleus of human monocytes undergoing macrophage differentiation, including M-CSF- treated peripheral blood monocytes and phorbol ester-treated THP1 cells. We demonstrate that HSF1 has a dual effect on SPI1/ PU.1, a transcription factor essential for macrophage differentiation and whose deregulation can lead to the development of leukemias and lymphomas. Firstly, HSF1 regulates SPI1/PU.1 gene expression through its binding to a heat shock element within the intron 2 of this gene. -
Flexible, Unbiased Analysis of Biological Characteristics Associated with Genomic Regions
bioRxiv preprint doi: https://doi.org/10.1101/279612; this version posted March 22, 2018. 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-ND 4.0 International license. BioFeatureFinder: Flexible, unbiased analysis of biological characteristics associated with genomic regions Felipe E. Ciamponi 1,2,3; Michael T. Lovci 2; Pedro R. S. Cruz 1,2; Katlin B. Massirer *,1,2 1. Structural Genomics Consortium - SGC, University of Campinas, SP, Brazil. 2. Center for Molecular Biology and Genetic Engineering - CBMEG, University of Campinas, Campinas, SP, Brazil. 3. Graduate program in Genetics and Molecular Biology, PGGBM, University of Campinas, Campinas, SP, Brazil. *Corresponding author: [email protected] Mailing address: Center for Molecular Biology and Genetic Engineering - CBMEG, University of Campinas, Campinas, SP, Brazil. Av Candido Rondo, 400 Cidade Universitária CEP 13083-875, Campinas, SP Phone: 55-19-98121-937 bioRxiv preprint doi: https://doi.org/10.1101/279612; this version posted March 22, 2018. 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-ND 4.0 International license. Abstract BioFeatureFinder is a novel algorithm which allows analyses of many biological genomic landmarks (including alternatively spliced exons, DNA/RNA- binding protein binding sites, and gene/transcript functional elements, nucleotide content, conservation, k-mers, secondary structure) to identify distinguishing features. -
What Your Genome Doesn't Tell
UC San Diego UC San Diego Electronic Theses and Dissertations Title Multi-layered epigenetic control of T cell fate decisions Permalink https://escholarship.org/uc/item/8rs7c7b3 Author Yu, Bingfei Publication Date 2018 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA SAN DIEGO Multi-layered epigenetic control of T cell fate decisions A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Biology by Bingfei Yu Committee in charge: Professor Ananda Goldrath, Chair Professor John Chang Professor Stephen Hedrick Professor Cornelis Murre Professor Wei Wang 2018 Copyright Bingfei Yu, 2018 All rights reserved. The dissertation of Bingfei Yu is approved, and it is ac- ceptable in quality and form for publication on microfilm and electronically: Chair University of California San Diego 2018 iii DEDICATION To my parents who have been giving me countless love, trust and support to make me who I am. iv EPIGRAPH Stay hungary. Stay foolish. | Steve Jobs quoted from the back cover of the 1974 edition of the Whole Earth Catalog v TABLE OF CONTENTS Signature Page.................................. iii Dedication..................................... iv Epigraph.....................................v Table of Contents................................. vi List of Figures.................................. ix Acknowledgements................................x Vita........................................ xii Abstract of -
Virtual Chip-Seq: Predicting Transcription Factor Binding
bioRxiv preprint doi: https://doi.org/10.1101/168419; this version posted March 12, 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. 1 Virtual ChIP-seq: predicting transcription factor binding 2 by learning from the transcriptome 1,2,3 1,2,3,4,5 3 Mehran Karimzadeh and Michael M. Hoffman 1 4 Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada 2 5 Princess Margaret Cancer Centre, Toronto, ON, Canada 3 6 Vector Institute, Toronto, ON, Canada 4 7 Department of Computer Science, University of Toronto, Toronto, ON, Canada 5 8 Lead contact: michael.hoff[email protected] 9 March 8, 2019 10 Abstract 11 Motivation: 12 Identifying transcription factor binding sites is the first step in pinpointing non-coding mutations 13 that disrupt the regulatory function of transcription factors and promote disease. ChIP-seq is 14 the most common method for identifying binding sites, but performing it on patient samples is 15 hampered by the amount of available biological material and the cost of the experiment. Existing 16 methods for computational prediction of regulatory elements primarily predict binding in genomic 17 regions with sequence similarity to known transcription factor sequence preferences. This has limited 18 efficacy since most binding sites do not resemble known transcription factor sequence motifs, and 19 many transcription factors are not even sequence-specific. 20 Results: 21 We developed Virtual ChIP-seq, which predicts binding of individual transcription factors in new 22 cell types using an artificial neural network that integrates ChIP-seq results from other cell types 23 and chromatin accessibility data in the new cell type.