Genome-Wide Association Study for Circulating Fibroblast Growth Factor
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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. -
4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
Methods Mice: 4-6 weeks old female C57BL/6 mice obtained from Jackson labs were used for cell isolation. Female Foxp3-IRES-GFP reporter mice (1), backcrossed to B6/C57 background for 10 generations, were used for the isolation of naïve CD4 and naïve CD8 cells for the RNAseq experiments. The mice were housed in pathogen-free animal facility in the La Jolla Institute for Allergy and Immunology and were used according to protocols approved by the Institutional Animal Care and use Committee. Preparation of cells: Subsets of thymocytes were isolated by cell sorting as previously described (2), after cell surface staining using CD4 (GK1.5), CD8 (53-6.7), CD3ε (145- 2C11), CD24 (M1/69) (all from Biolegend). DP cells: CD4+CD8 int/hi; CD4 SP cells: CD4CD3 hi, CD24 int/lo; CD8 SP cells: CD8 int/hi CD4 CD3 hi, CD24 int/lo (Fig S2). Peripheral subsets were isolated after pooling spleen and lymph nodes. T cells were enriched by negative isolation using Dynabeads (Dynabeads untouched mouse T cells, 11413D, Invitrogen). After surface staining for CD4 (GK1.5), CD8 (53-6.7), CD62L (MEL-14), CD25 (PC61) and CD44 (IM7), naïve CD4+CD62L hiCD25-CD44lo and naïve CD8+CD62L hiCD25-CD44lo were obtained by sorting (BD FACS Aria). Additionally, for the RNAseq experiments, CD4 and CD8 naïve cells were isolated by sorting T cells from the Foxp3- IRES-GFP mice: CD4+CD62LhiCD25–CD44lo GFP(FOXP3)– and CD8+CD62LhiCD25– CD44lo GFP(FOXP3)– (antibodies were from Biolegend). In some cases, naïve CD4 cells were cultured in vitro under Th1 or Th2 polarizing conditions (3, 4). -
Controls Homeostatic Splicing of ARGLU1 Mrna Stephan P
Published online 28 November 2016 Nucleic Acids Research, 2017, Vol. 45, No. 6 3473–3486 doi: 10.1093/nar/gkw1140 An Ultraconserved Element (UCE) controls homeostatic splicing of ARGLU1 mRNA Stephan P. Pirnie, Ahmad Osman, Yinzhou Zhu and Gordon G. Carmichael* Department of Genetics and Genome Sciences, UCONN Health Center, 400 Farmington Avenue, Farmington, CT 06030, USA Received January 13, 2016; Revised October 25, 2016; Editorial Decision October 28, 2016; Accepted October 31, 2016 ABSTRACT or inhibit the usage of a particular splice site (1,2). The ex- pression of trans-acting factors in a developmental and tis- Arginine and Glutamate-Rich protein 1 (ARGLU1) is sue specific manner results in regulated splicing that isof- a protein whose function is poorly understood, but ten cell specific. Most notably, trans-acting proteins such as may act in both transcription and pre-mRNA splicing. the NOVA (3–6), the RBFOX (7) and SR protein (8–11) We demonstrate that the ARGLU1 gene expresses families, and a number of hnRNP (12,13) proteins compete at least three distinct RNA splice isoforms – a fully to bind nascent RNAs at specific motifs and drive regula- spliced isoform coding for the protein, an isoform tion of alternative splicing in a tissue and developmentally containing a retained intron that is detained in the specific manner. Alternative splicing is an important pro- nucleus, and an isoform containing an alternative cess that is seen in at least 95% of multi-exon genes in the exon that targets the transcript for nonsense medi- human transcriptome (14). Furthermore, alternative splic- ated decay. -
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. -
S41467-020-18249-3.Pdf
ARTICLE https://doi.org/10.1038/s41467-020-18249-3 OPEN Pharmacologically reversible zonation-dependent endothelial cell transcriptomic changes with neurodegenerative disease associations in the aged brain Lei Zhao1,2,17, Zhongqi Li 1,2,17, Joaquim S. L. Vong2,3,17, Xinyi Chen1,2, Hei-Ming Lai1,2,4,5,6, Leo Y. C. Yan1,2, Junzhe Huang1,2, Samuel K. H. Sy1,2,7, Xiaoyu Tian 8, Yu Huang 8, Ho Yin Edwin Chan5,9, Hon-Cheong So6,8, ✉ ✉ Wai-Lung Ng 10, Yamei Tang11, Wei-Jye Lin12,13, Vincent C. T. Mok1,5,6,14,15 &HoKo 1,2,4,5,6,8,14,16 1234567890():,; The molecular signatures of cells in the brain have been revealed in unprecedented detail, yet the ageing-associated genome-wide expression changes that may contribute to neurovas- cular dysfunction in neurodegenerative diseases remain elusive. Here, we report zonation- dependent transcriptomic changes in aged mouse brain endothelial cells (ECs), which pro- minently implicate altered immune/cytokine signaling in ECs of all vascular segments, and functional changes impacting the blood–brain barrier (BBB) and glucose/energy metabolism especially in capillary ECs (capECs). An overrepresentation of Alzheimer disease (AD) GWAS genes is evident among the human orthologs of the differentially expressed genes of aged capECs, while comparative analysis revealed a subset of concordantly downregulated, functionally important genes in human AD brains. Treatment with exenatide, a glucagon-like peptide-1 receptor agonist, strongly reverses aged mouse brain EC transcriptomic changes and BBB leakage, with associated attenuation of microglial priming. We thus revealed tran- scriptomic alterations underlying brain EC ageing that are complex yet pharmacologically reversible. -
Methods in and Applications of the Sequencing of Short Non-Coding Rnas" (2013)
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2013 Methods in and Applications of the Sequencing of Short Non- Coding RNAs Paul Ryvkin University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Bioinformatics Commons, Genetics Commons, and the Molecular Biology Commons Recommended Citation Ryvkin, Paul, "Methods in and Applications of the Sequencing of Short Non-Coding RNAs" (2013). Publicly Accessible Penn Dissertations. 922. https://repository.upenn.edu/edissertations/922 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/922 For more information, please contact [email protected]. Methods in and Applications of the Sequencing of Short Non-Coding RNAs Abstract Short non-coding RNAs are important for all domains of life. With the advent of modern molecular biology their applicability to medicine has become apparent in settings ranging from diagonistic biomarkers to therapeutics and fields angingr from oncology to neurology. In addition, a critical, recent technological development is high-throughput sequencing of nucleic acids. The convergence of modern biotechnology with developments in RNA biology presents opportunities in both basic research and medical settings. Here I present two novel methods for leveraging high-throughput sequencing in the study of short non- coding RNAs, as well as a study in which they are applied to Alzheimer's Disease (AD). The computational methods presented here include High-throughput Annotation of Modified Ribonucleotides (HAMR), which enables researchers to detect post-transcriptional covalent modifications ot RNAs in a high-throughput manner. In addition, I describe Classification of RNAs by Analysis of Length (CoRAL), a computational method that allows researchers to characterize the pathways responsible for short non-coding RNA biogenesis. -
Genomic and Transcriptomic Investigations Into the Feed Efficiency Phenotype of Beef Cattle
Provided by the author(s) and NUI Galway in accordance with publisher policies. Please cite the published version when available. Title Genomic and transcriptomic investigations into the feed efficiency phenotype of beef cattle Author(s) Higgins, Marc Publication Date 2019-03-06 Publisher NUI Galway Item record http://hdl.handle.net/10379/15008 Downloaded 2021-09-25T18:07:39Z Some rights reserved. For more information, please see the item record link above. Genomic and Transcriptomic Investigations into the Feed Efficiency Phenotype of Beef Cattle Marc Higgins, B.Sc., M.Sc. A thesis submitted for the Degree of Doctor of Philosophy to the Discipline of Biochemistry, School of Natural Sciences, National University of Ireland, Galway. Supervisor: Dr. Derek Morris Discipline of Biochemistry, School of Natural Sciences, National University of Ireland, Galway. Supervisor: Dr. Sinéad Waters Teagasc, Animal and Bioscience Research Department, Animal & Grassland Research and Innovation Centre, Teagasc, Grange. Submitted November 2018 Table of Contents Declaration ................................................................................................................ vii Funding .................................................................................................................... viii Acknowledgements .................................................................................................... ix Abstract ...................................................................................................................... -
PHC1 Maintains Pluripotency by Organizing Genome-Wide Chromatin Interactions of the Nanog Locus
ARTICLE https://doi.org/10.1038/s41467-021-22871-0 OPEN PHC1 maintains pluripotency by organizing genome-wide chromatin interactions of the Nanog locus Li Chen1,2,3,14, Qiaoqiao Tong1,2,3,14, Xiaowen Chen4,14, Penglei Jiang1,2, Hua Yu1,2, Qianbing Zhao1,2,3, Lingang Sun1,2,3, Chao Liu 1,2,3,5, Bin Gu6, Yuping Zheng 7, Lijiang Fei1,2,3, Xiao Jiang8, Wenjuan Li9,10, Giacomo Volpe 9,10, Mazid MD. Abdul9,10, Guoji Guo 1,2,3, Jin Zhang1,2, Pengxu Qian1,2, Qiming Sun 8, ✉ ✉ ✉ Dante Neculai 7, Miguel A. Esteban9,10,11, Chen Li 12 , Feiqiu Wen4 & Junfeng Ji 1,2,3,13 1234567890():,; Polycomb group (PcG) proteins maintain cell identity by repressing gene expression during development. Surprisingly, emerging studies have recently reported that a number of PcG proteins directly activate gene expression during cell fate determination process. However, the mechanisms by which they direct gene activation in pluripotency remain poorly under- stood. Here, we show that Phc1, a subunit of canonical polycomb repressive complex 1 (cPRC1), can exert its function in pluripotency maintenance via a PRC1-independent activa- tion of Nanog. Ablation of Phc1 reduces the expression of Nanog and overexpression of Nanog partially rescues impaired pluripotency caused by Phc1 depletion. We find that Phc1 interacts with Nanog and activates Nanog transcription by stabilizing the genome-wide chromatin interactions of the Nanog locus. This adds to the already known canonical function of PRC1 in pluripotency maintenance via a PRC1-dependent repression of differentiation genes. Overall, our study reveals a function of Phc1 to activate Nanog transcription through regulating chromatin architecture and proposes a paradigm for PcG proteins to maintain pluripotency. -
Alternative Splicing in the Nuclear Receptor Superfamily Expands Gene Function to Refine Endo-Xenobiotic Metabolism S
Supplemental material to this article can be found at: http://dmd.aspetjournals.org/content/suppl/2020/01/24/dmd.119.089102.DC1 1521-009X/48/4/272–287$35.00 https://doi.org/10.1124/dmd.119.089102 DRUG METABOLISM AND DISPOSITION Drug Metab Dispos 48:272–287, April 2020 Copyright ª 2020 by The American Society for Pharmacology and Experimental Therapeutics Minireview Alternative Splicing in the Nuclear Receptor Superfamily Expands Gene Function to Refine Endo-Xenobiotic Metabolism s Andrew J. Annalora, Craig B. Marcus, and Patrick L. Iversen Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, Oregon (A.J.A., C.B.M., P.L.I.) and United States Army Research Institute for Infectious Disease, Frederick, Maryland (P.L.I.) Received August 16, 2019; accepted December 31, 2019 ABSTRACT Downloaded from The human genome encodes 48 nuclear receptor (NR) genes, whose Exon inclusion options are differentially distributed across NR translated products transform chemical signals from endo- subfamilies, suggesting group-specific conservation of resilient func- xenobiotics into pleotropic RNA transcriptional profiles that refine tionalities. A deeper understanding of this transcriptional plasticity drug metabolism. This review describes the remarkable diversifica- expands our understanding of how chemical signals are refined and tion of the 48 human NR genes, which are potentially processed into mediated by NR genes. This expanded view of the NR transcriptome dmd.aspetjournals.org over 1000 distinct mRNA transcripts by alternative splicing (AS). The informs new models of chemical toxicity, disease diagnostics, and average human NR expresses ∼21 transcripts per gene and is precision-based approaches to personalized medicine. -
Juxtaposed Polycomb Complexes Co-Regulate Vertebral Identity
RESEARCH ARTICLE 4957 Development 133, 4957-4968 (2006) doi:10.1242/dev.02677 Juxtaposed Polycomb complexes co-regulate vertebral identity Se Young Kim1, Suzanne W. Paylor1, Terry Magnuson2 and Armin Schumacher1,* Best known as epigenetic repressors of developmental Hox gene transcription, Polycomb complexes alter chromatin structure by means of post-translational modification of histone tails. Depending on the cellular context, Polycomb complexes of diverse composition and function exhibit cooperative interaction or hierarchical interdependency at target loci. The present study interrogated the genetic, biochemical and molecular interaction of BMI1 and EED, pivotal constituents of heterologous Polycomb complexes, in the regulation of vertebral identity during mouse development. Despite a significant overlap in dosage-sensitive homeotic phenotypes and co-repression of a similar set of Hox genes, genetic analysis implicated eed and Bmi1 in parallel pathways, which converge at the level of Hox gene regulation. Whereas EED and BMI1 formed separate biochemical entities with EzH2 and Ring1B, respectively, in mid-gestation embryos, YY1 engaged in both Polycomb complexes. Strikingly, methylated lysine 27 of histone H3 (H3-K27), a mediator of Polycomb complex recruitment to target genes, stably associated with the EED complex during the maintenance phase of Hox gene repression. Juxtaposed EED and BMI1 complexes, along with YY1 and methylated H3- K27, were detected in upstream regulatory regions of Hoxc8 and Hoxa5. The combined data suggest a model wherein epigenetic and genetic elements cooperatively recruit and retain juxtaposed Polycomb complexes in mammalian Hox gene clusters toward co- regulation of vertebral identity. KEY WORDS: Polycomb, eed, Bmi1, Hox genes, Mouse development, Chromatin, Histones, Epigenetics INTRODUCTION Wang, H. -
A High-Density Map for Navigating the Human Polycomb Complexome
Resource A High-Density Map for Navigating the Human Polycomb Complexome Graphical Abstract Authors Simon Hauri, Federico Comoglio, Makiko Seimiya, ..., Renato Paro, Matthias Gstaiger, Christian Beisel Correspondence [email protected] (M.G.), [email protected] (C.B.) In Brief Polycomb group (PcG) proteins mediate gene silencing and epigenetic memory in higher eukaryotes. By systematically mapping the human PcG complexome, Hauri et al. resolve Polycomb subcomplexes at high resolution and identify two human PRC2 and two PR- DUB complexes. Furthermore, genomic profiling reveals segregation of PRC1 and PR-DUB target genes. Highlights Accession Numbers d 1,400 high-confidence interactions reveal the modular GSE51673 organization of human PcG proteins d Detailed dissection of PRC1 and PRC2 subcomplexes d Two human PR-DUB complexes contain the glycosyltransferase OGT1 d PR-DUB and PRC1 bind largely distinct sets of target genes Hauri et al., 2016, Cell Reports 17, 583–595 October 4, 2016 ª 2016 The Authors. http://dx.doi.org/10.1016/j.celrep.2016.08.096 Cell Reports Resource A High-Density Map for Navigating the Human Polycomb Complexome Simon Hauri,1,2,7,8 Federico Comoglio,3,7,9 Makiko Seimiya,3 Moritz Gerstung,3,10 Timo Glatter,1,11 Klaus Hansen,4 Ruedi Aebersold,1,5 Renato Paro,3,6 Matthias Gstaiger,1,2,* and Christian Beisel3,12,* 1Department of Biology, Institute of Molecular Systems Biology, ETH Zurich,€ 8093 Zurich,€ Switzerland 2Competence Center Personalized Medicine UZH/ETH, 8044 Zurich,€ Switzerland 3Department -
Differential DNA Methylation Patterns Define Status Epilepticus and Epileptic Tolerance
The Journal of Neuroscience, February 1, 2012 • 32(5):1577–1588 • 1577 Neurobiology of Disease Differential DNA Methylation Patterns Define Status Epilepticus and Epileptic Tolerance Suzanne F. C. Miller-Delaney,1 Sudipto Das,2,4 Takanori Sano,1 Eva M. Jimenez-Mateos,1 Kenneth Bryan,2,4 Patrick G. Buckley,2,3,4 Raymond L. Stallings,2,4 and David C. Henshall1 Departments of 1Physiology and Medical Physics and 2Cancer Genetics and 3Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin 2, Ireland, and 4National Children’s Research Centre, Our Lady’s Children’s Hospital, Dublin 12, Ireland Prolonged seizures (status epilepticus) produce pathophysiological changes in the hippocampus that are associated with large-scale, wide-ranging changes in gene expression. Epileptic tolerance is an endogenous program of cell protection that can be activated in the brainbypreviousexposuretoanon-harmfulseizureepisodebeforestatusepilepticus.Amajortranscriptionalfeatureoftoleranceisgene downregulation. Here, through methylation analysis of 34,143 discrete loci representing all annotated CpG islands and promoter regions in the mouse genome, we report the genome-wide DNA methylation changes in the hippocampus after status epilepticus and epileptic tolerance in adult mice. A total of 321 genes showed altered DNA methylation after status epilepticus alone or status epilepticus that followed seizure preconditioning, with Ͼ90% of the promoters of these genes undergoing hypomethylation. These profiles included genes not previously associated with epilepsy, such as the polycomb gene Phc2. Differential methylation events generally occurred throughout the genome without bias for a particular chromosomal region, with the exception of a small region of chromosome 4, which was significantly overrepresented with genes hypomethylated after status epilepticus.