1 Early Patterning and Specification of Cardiac Progenitors In
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Supplemental Table 1. Complete Gene Lists and GO Terms from Figure 3C
Supplemental Table 1. Complete gene lists and GO terms from Figure 3C. Path 1 Genes: RP11-34P13.15, RP4-758J18.10, VWA1, CHD5, AZIN2, FOXO6, RP11-403I13.8, ARHGAP30, RGS4, LRRN2, RASSF5, SERTAD4, GJC2, RHOU, REEP1, FOXI3, SH3RF3, COL4A4, ZDHHC23, FGFR3, PPP2R2C, CTD-2031P19.4, RNF182, GRM4, PRR15, DGKI, CHMP4C, CALB1, SPAG1, KLF4, ENG, RET, GDF10, ADAMTS14, SPOCK2, MBL1P, ADAM8, LRP4-AS1, CARNS1, DGAT2, CRYAB, AP000783.1, OPCML, PLEKHG6, GDF3, EMP1, RASSF9, FAM101A, STON2, GREM1, ACTC1, CORO2B, FURIN, WFIKKN1, BAIAP3, TMC5, HS3ST4, ZFHX3, NLRP1, RASD1, CACNG4, EMILIN2, L3MBTL4, KLHL14, HMSD, RP11-849I19.1, SALL3, GADD45B, KANK3, CTC- 526N19.1, ZNF888, MMP9, BMP7, PIK3IP1, MCHR1, SYTL5, CAMK2N1, PINK1, ID3, PTPRU, MANEAL, MCOLN3, LRRC8C, NTNG1, KCNC4, RP11, 430C7.5, C1orf95, ID2-AS1, ID2, GDF7, KCNG3, RGPD8, PSD4, CCDC74B, BMPR2, KAT2B, LINC00693, ZNF654, FILIP1L, SH3TC1, CPEB2, NPFFR2, TRPC3, RP11-752L20.3, FAM198B, TLL1, CDH9, PDZD2, CHSY3, GALNT10, FOXQ1, ATXN1, ID4, COL11A2, CNR1, GTF2IP4, FZD1, PAX5, RP11-35N6.1, UNC5B, NKX1-2, FAM196A, EBF3, PRRG4, LRP4, SYT7, PLBD1, GRASP, ALX1, HIP1R, LPAR6, SLITRK6, C16orf89, RP11-491F9.1, MMP2, B3GNT9, NXPH3, TNRC6C-AS1, LDLRAD4, NOL4, SMAD7, HCN2, PDE4A, KANK2, SAMD1, EXOC3L2, IL11, EMILIN3, KCNB1, DOK5, EEF1A2, A4GALT, ADGRG2, ELF4, ABCD1 Term Count % PValue Genes regulation of pathway-restricted GDF3, SMAD7, GDF7, BMPR2, GDF10, GREM1, BMP7, LDLRAD4, SMAD protein phosphorylation 9 6.34 1.31E-08 ENG pathway-restricted SMAD protein GDF3, SMAD7, GDF7, BMPR2, GDF10, GREM1, BMP7, LDLRAD4, phosphorylation -
Genome-Wide Transcriptome and Binding Sites Analyses Identify
www.nature.com/scientificreports OPEN Genome-Wide Transcriptome and Binding Sites Analyses Identify Early FOX Expressions Received:06October2015 Accepted:14July2016 for Enhancing Cardiomyogenesis Published:09August2016 Efficiency of hESC Cultures Hock Chuan Yeo1,2, Sherwin Ting1, Romulo Martin Brena3, Geoffrey Koh1, Allen Chen1, Siew Qi Toh2, Yu Ming Lim1, Steve Kah Weng Oh1 & Dong-Yup Lee1,2,4 The differentiation efficiency of human embryonic stem cells (hESCs) into heart muscle cells (cardiomyocytes) is highly sensitive to culture conditions. To elucidate the regulatory mechanisms involved, we investigated hESCs grown on three distinct culture platforms: feeder-free Matrigel, mouse embryonic fibroblast feeders, and Matrigel replated on feeders. At the outset, we profiled and quantified their differentiation efficiency, transcriptome, transcription factor binding sites and DNA- methylation. Subsequent genome-wide analyses allowed us to reconstruct the relevant interactome, thereby forming the regulatory basis for implicating the contrasting differentiation efficiency of the culture conditions. We hypothesized that the parental expressions of FOXC1, FOXD1 and FOXQ1 transcription factors (TFs) are correlative with eventual cardiomyogenic outcome. Through WNT induction of the FOX TFs, we observed the co-activation of WNT3 and EOMES which are potent inducers of mesoderm differentiation. The result strengthened our hypothesis on the regulatory role of the FOX TFs in enhancing mesoderm differentiation capacity of hESCs. Importantly, the final proportions of cells expressing cardiac markers were directly correlated to the strength of FOX inductions within 72 hours after initiation of differentiation across different cell lines and protocols. Thus, we affirmed the relationship between early FOX TF expressions and cardiomyogenesis efficiency. -
Co-Occupancy by Multiple Cardiac Transcription Factors Identifies
Co-occupancy by multiple cardiac transcription factors identifies transcriptional enhancers active in heart Aibin Hea,b,1, Sek Won Konga,b,c,1, Qing Maa,b, and William T. Pua,b,2 aDepartment of Cardiology and cChildren’s Hospital Informatics Program, Children’s Hospital Boston, Boston, MA 02115; and bHarvard Stem Cell Institute, Harvard University, Cambridge, MA 02138 Edited by Eric N. Olson, University of Texas Southwestern, Dallas, TX, and approved February 23, 2011 (received for review November 12, 2010) Identification of genomic regions that control tissue-specific gene study of a handful of model genes (e.g., refs. 7–10), it has not been expression is currently problematic. ChIP and high-throughput se- evaluated using unbiased, genome-wide approaches. quencing (ChIP-seq) of enhancer-associated proteins such as p300 In this study, we used a modified ChIP-seq approach to define identifies some but not all enhancers active in a tissue. Here we genome wide the binding sites of these cardiac TFs (1). We show that co-occupancy of a chromatin region by multiple tran- provide unbiased support for collaborative TF interactions in scription factors (TFs) identifies a distinct set of enhancers. GATA- driving cardiac gene expression and use this principle to show that chromatin co-occupancy by multiple TFs identifies enhancers binding protein 4 (GATA4), NK2 transcription factor-related, lo- with cardiac activity in vivo. The majority of these multiple TF- cus 5 (NKX2-5), T-box 5 (TBX5), serum response factor (SRF), and “ binding loci (MTL) enhancers were distinct from p300-bound myocyte-enhancer factor 2A (MEF2A), here referred to as cardiac enhancers in location and functional properties. -
Supraphysiological Levels of Oxygen Exposure During the Neonatal
www.nature.com/scientificreports OPEN Supraphysiological Levels of Oxygen Exposure During the Neonatal Period Impairs Signaling Received: 15 January 2018 Accepted: 4 June 2018 Pathways Required for Learning Published: xx xx xxxx and Memory Manimaran Ramani1, Ranjit Kumar2, Brian Halloran1, Charitharth Vivek Lal1, Namasivayam Ambalavanan 1,3 & Lori L. McMahon3,4 Preterm infants often require prolonged oxygen supplementation and are at high risk of neurodevelopmental impairment. We recently reported that adult mice exposed to neonatal hyperoxia (postnatal day [P] 2 to 14) had spatial navigation memory defcits associated with hippocampal shrinkage. The mechanisms by which early oxidative stress impair neurodevelopment are not known. Our objective was to identify early hyperoxia-induced alterations in hippocampal receptors and signaling pathways necessary for memory formation. We evaluated C57BL/6 mouse pups at P14, exposed to either 85% oxygen or air from P2 to 14. We performed targeted analysis of hippocampal ligand-gated ion channels and proteins necessary for memory formation, and global bioinformatic analysis of diferentially expressed hippocampal genes and proteins. Hyperoxia decreased hippocampal mGLU7, TrkB, AKT, ERK2, mTORC1, RPS6, and EIF4E and increased α3, α5, and ɤ2 subunits of GABAA receptor and PTEN proteins, although changes in gene expression were not always concordant. Bioinformatic analysis indicated dysfunction in mitochondria and global protein synthesis and translational processes. In conclusion, supraphysiological oxygen exposure reduced proteins necessary for hippocampus-dependent memory formation and may adversely impact hippocampal mitochondrial function and global protein synthesis. These early hippocampal changes may account for memory defcits seen in preterm survivors following prolonged oxygen supplementation. Children born preterm with a relatively uncomplicated neonatal intensive care unit course ofen have defcits in executive function and learning and memory1–3. -
The Use of Phosphoproteomic Data to Identify Altered Kinases and Signaling Pathways in Cancer
The use of phosphoproteomic data to identify altered kinases and signaling pathways in cancer By Sara Renee Savage Thesis Submitted to the Faculty of the Graduate School of Vanderbilt University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE in Biomedical Informatics August 10, 2018 Nashville, Tennessee Approved: Bing Zhang, Ph.D. Carlos Lopez, Ph.D. Qi Liu, Ph.D. ACKNOWLEDGEMENTS The work presented in this thesis would not have been possible without the funding provided by the NLM training grant (T15-LM007450) and the support of the Biomedical Informatics department at Vanderbilt. I am particularly indebted to Rischelle Jenkins, who helped me solve all administrative issues. Furthermore, this work is the result of a collaboration between all members of the Zhang lab and the larger CPTAC consortium. I would like to thank the other CPTAC centers for processing the data, and Chen Huang and Suhas Vasaikar in the Zhang lab for analyzing the colon cancer copy number and proteomic data, respectively. All members of the Zhang lab have been extremely helpful in answering any questions I had and offering suggestions on my work. Finally, I would like to acknowledge my mentor, Bing Zhang. I am extremely grateful for his guidance and for giving me the opportunity to work on these projects. ii TABLE OF CONTENTS Page ACKNOWLEDGEMENTS ................................................................................................ ii LIST OF TABLES............................................................................................................ -
Grimme, Acadia.Pdf
MECHANISM OF ACTION OF HISTONE DEACETYLASE INHIBITORS ON SURVIVAL MOTOR NEURON 2 PROMOTER by Acadia L. Grimme A thesis submitted to the Faculty of the University of Delaware in partial fulfillment of the requirements for the degree of Bachelors of Science in Biological Sciences with Distinction Spring 2018 © 2018 Acadia Grimme All Rights Reserved MECHANISM OF ACTION OF HISTONE DEACETYLASE INHIBITORS ON SURVIVAL MOTOR NEURON 2 PROMOTER by Acadia L. Grimme Approved: __________________________________________________________ Matthew E. R. Butchbach, Ph.D. Professor in charge of thesis on behalf of the Advisory Committee Approved: __________________________________________________________ Deni S. Galileo, Ph.D. Professor in charge of thesis on behalf of the Advisory Committee Approved: __________________________________________________________ Carlton R. Cooper, Ph.D. Committee member from the Department of Biological Sciences Approved: __________________________________________________________ Gary H. Laverty, Ph.D. Committee member from the Board of Senior Thesis Readers Approved: __________________________________________________________ Michael Chajes, Ph.D. Chair of the University Committee on Student and Faculty Honors ACKNOWLEDGMENTS I would like to acknowledge my thesis director Dr. Butchbach for his wonderful guidance and patience as I worked through my project. He has been an excellent research mentor over the last two years and I am forever thankful that he welcomed me into his lab. His dedication to his work inspires me as an aspiring research scientist. His lessons will carry on with me as I pursue future research in graduate school and beyond. I would like to thank both current and former members of the Motor Neuron Disease Laboratory: Sambee Kanda, Kyle Hinkle, and Andrew Connell. Sambee and Andrew patiently taught me many of the techniques I utilized in my project, and without them it would not be what it is today. -
Supplementary Figure 1. Network Map Associated with Upregulated Canonical Pathways Shows Interferon Alpha As a Key Regulator
Supplementary Figure 1. Network map associated with upregulated canonical pathways shows interferon alpha as a key regulator. IPA core analysis determined interferon-alpha as an upstream regulator in the significantly upregulated genes from RNAseq data from nasopharyngeal swabs of COVID-19 patients (GSE152075). Network map was generated in IPA, overlaid with the Coronavirus Replication Pathway. Supplementary Figure 2. Network map associated with Cell Cycle, Cellular Assembly and Organization, DNA Replication, Recombination, and Repair shows relationships among significant canonical pathways. Significant pathways were identified from pathway analysis of RNAseq from PBMCs of COVID-19 patients. Coronavirus Pathogenesis Pathway was also overlaid on the network map. The orange and blue colors in indicate predicted activation or predicted inhibition, respectively. Supplementary Figure 3. Significant biological processes affected in brochoalveolar lung fluid of severe COVID-19 patients. Network map was generated by IPA core analysis of differentially expressed genes for severe vs mild COVID-19 patients in bronchoalveolar lung fluid (BALF) from scRNA-seq profile of GSE145926. Orange color represents predicted activation. Red boxes highlight important cytokines involved. Supplementary Figure 4. 10X Genomics Human Immunology Panel filtered differentially expressed genes in each immune subset (NK cells, T cells, B cells, and Macrophages) of severe versus mild COVID-19 patients. Three genes (HLA-DQA2, IFIT1, and MX1) were found significantly and consistently differentially expressed. Gene expression is shown per the disease severity (mild, severe, recovered) is shown on the top row and expression across immune cell subsets are shown on the bottom row. Supplementary Figure 5. Network map shows interactions between differentially expressed genes in severe versus mild COVID-19 patients. -
Downregulation of Carnitine Acyl-Carnitine Translocase by Mirnas
Page 1 of 288 Diabetes 1 Downregulation of Carnitine acyl-carnitine translocase by miRNAs 132 and 212 amplifies glucose-stimulated insulin secretion Mufaddal S. Soni1, Mary E. Rabaglia1, Sushant Bhatnagar1, Jin Shang2, Olga Ilkayeva3, Randall Mynatt4, Yun-Ping Zhou2, Eric E. Schadt6, Nancy A.Thornberry2, Deborah M. Muoio5, Mark P. Keller1 and Alan D. Attie1 From the 1Department of Biochemistry, University of Wisconsin, Madison, Wisconsin; 2Department of Metabolic Disorders-Diabetes, Merck Research Laboratories, Rahway, New Jersey; 3Sarah W. Stedman Nutrition and Metabolism Center, Duke Institute of Molecular Physiology, 5Departments of Medicine and Pharmacology and Cancer Biology, Durham, North Carolina. 4Pennington Biomedical Research Center, Louisiana State University system, Baton Rouge, Louisiana; 6Institute for Genomics and Multiscale Biology, Mount Sinai School of Medicine, New York, New York. Corresponding author Alan D. Attie, 543A Biochemistry Addition, 433 Babcock Drive, Department of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin, (608) 262-1372 (Ph), (608) 263-9608 (fax), [email protected]. Running Title: Fatty acyl-carnitines enhance insulin secretion Abstract word count: 163 Main text Word count: 3960 Number of tables: 0 Number of figures: 5 Diabetes Publish Ahead of Print, published online June 26, 2014 Diabetes Page 2 of 288 2 ABSTRACT We previously demonstrated that micro-RNAs 132 and 212 are differentially upregulated in response to obesity in two mouse strains that differ in their susceptibility to obesity-induced diabetes. Here we show the overexpression of micro-RNAs 132 and 212 enhances insulin secretion (IS) in response to glucose and other secretagogues including non-fuel stimuli. We determined that carnitine acyl-carnitine translocase (CACT, Slc25a20) is a direct target of these miRNAs. -
Genome-Wide Screening Identifies Genes and Biological Processes
Louisiana State University LSU Digital Commons LSU Doctoral Dissertations Graduate School 10-12-2018 Genome-Wide Screening Identifies Genes and Biological Processes Implicated in Chemoresistance and Oncogene-Induced Apoptosis Tengyu Ko Louisiana State University and Agricultural and Mechanical College, [email protected] Follow this and additional works at: https://digitalcommons.lsu.edu/gradschool_dissertations Part of the Cancer Biology Commons, Cell Biology Commons, and the Genomics Commons Recommended Citation Ko, Tengyu, "Genome-Wide Screening Identifies Genes and Biological Processes Implicated in Chemoresistance and Oncogene- Induced Apoptosis" (2018). LSU Doctoral Dissertations. 4715. https://digitalcommons.lsu.edu/gradschool_dissertations/4715 This Dissertation is brought to you for free and open access by the Graduate School at LSU Digital Commons. It has been accepted for inclusion in LSU Doctoral Dissertations by an authorized graduate school editor of LSU Digital Commons. For more information, please [email protected]. GENOME-WIDE SCREENING IDENTIFIES GENES AND BIOLOGICAL PROCESSES IMPLICATED IN CHEMORESISTANCE AND ONCOGENE- INDUCED APOPTOSIS A Dissertation Submitted to the Graduate Faculty of the Louisiana State University and Agricultural and Mechanical College in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical and Veterinary Medical Sciences through the Department of Comparative Biomedical Sciences by Tengyu Ko B.S., University of California, Santa Barbara 2010 December 2018 ACKNOWLEDGEMENTS I would like to express my sincerest gratitude to my major supervisor Dr. Shisheng Li for giving me the opportunity to join his team and the freedom to pursue projects. I appreciate all of his thoughts and efforts. Truly, none of these findings would be possible without his supervisions, supports, insightful discussions, and patience. -
Transcription Factors ETS2 and MESP1 Transdifferentiate Human Dermal fibroblasts Into Cardiac Progenitors
Transcription factors ETS2 and MESP1 transdifferentiate human dermal fibroblasts into cardiac progenitors Jose Francisco Islasa,b,1, Yu Liuc,1, Kuo-Chan Wenga,b,1, Matthew J. Robertsonb, Shuxing Zhangc, Allan Prejusab, John Hargerc, Dariya Tikhomirovab,c, Mani Choprac, Dinakar Iyerd,MarkMercolae,RobertG.Oshimae, James T. Willersonb, Vladimir N. Potamanb,2, and Robert J. Schwartzb,c,2,3 aGraduate School of Biomedical Sciences, Institute of Bioscience and Technology, Texas A&M Health Science Center, Houston, TX 77030; bStem Cell Engineering Laboratory, Texas Heart Institute at St. Luke’s Episcopal Hospital, Houston, TX 77030; dDepartment of Medicine, Baylor College of Medicine, Houston, TX 77030; cDepartment of Biology and Biochemistry, University of Houston, Houston, TX 77204; and eSanford-Burnham Medical Research Institute, La Jolla, CA 92037 Edited* by Eric N. Olson, University of Texas Southwestern Medical Center, Dallas, TX, and approved June 25, 2012 (received for review December 12, 2011) Unique insights for the reprograming of cell lineages have come Results from embryonic development in the ascidian Ciona, which is depen- ETS2 Is a Critical Cardiopoiesis Factor. We compared the expression dent upon the transcription factors Ci-ets1/2 and Ci-mesp to gener- profiles of mammalian cardiomyogenic genes in wild-type E14 −/− ate cardiac progenitors. We tested the idea that mammalian v-ets and Ets2 mouse ES cells. T-brachyury, a core T-box factor erythroblastosis virus E26 oncogene homolog 2 (ETS2) and meso- required for initiating the appearance of cardiac mesoderm was derm posterior (MESP) homolog may be used to convert human not affected by the loss of Ets2 (Fig. -
Mirnas in Control of Oncogenic Signaling in Breast Cancer Cells
miRNAs in control of oncogenic signaling in breast cancer cells Von der Fakultät Energie-, Verfahrens- und Biotechnik der Universität Stuttgart zur Erlangung der Würde eines Doktors der Naturwissen- schaften (Dr. rer. nat.) genehmigte Abhandlung Vorgelegt von Annabell Bischoff aus Segnitz Hauptberichter: Prof. Dr. Monilola Olayioye Mitberichter: Prof. Dr. Klaus Pfizenmaier Tag der mündlichen Prüfung: 12.11.2014 Institut für Zellbiologie und Immunologie Universität Stuttgart 2014 2 2 3 Eidesstattliche Erklärung Hiermit erkläre ich, Annabell Bischoff, dass ich die vorliegende Arbeit selbständig angefertigt habe. Es wurden nur die in der Arbeit ausdrücklich benannten Quellen und Hilfsmittel be- nutzt. Wörtlich oder sinngemäß übernommenes Gedankengut habe ich als solches kenntlich gemacht. I hereby assure that I performed this work independently without further help or other materi- als than stated. ______________________ ______________________ Datum, Ort Unterschrift 3 4 4 5 Table of content Eidesstattliche Erklärung ....................................................................................................... 3 Table of content ..................................................................................................................... 5 Abbreviations ........................................................................................................................ 9 Abstract ................................................................................................................................13 Zusammenfassung -
A Thesis Entitled Snps and Indels Analysis in Human Genome Using
A Thesis entitled SNPs and Indels Analysis in Human Genome using Computer Simulation and Sequencing Data by Sharmistha Chakrabortty Submitted to the Graduate Faculty as partial fulfillment of the requirements for the Master of Science Degree in Biomedical Sciences: Bioinformatics, Proteomics and Genomics ________________________________________ Dr. Alexei Fedorov, Committee Chair ________________________________________ Dr. Robert Blumenthal, Committee Member ________________________________________ Dr. Sadik Khuder, Committee Member ________________________________________ Dr. Amanda Bryant-Friedrich, Dean College of Graduate Studies The University of Toledo August 2017 Copyright 2017, Sharmistha Chakrabortty This document is copyrighted material. Under copyright law, no parts of this document may be reproduced without the expressed permission of the author. An Abstract of SNPs and Indels Analysis in Human Genome using Computer Simulation and Sequencing Data by Sharmistha Chakrabortty Submitted to the Graduate Faculty as partial fulfillment of the requirements for the Master of Science Degree in Biomedical Sciences: Bioinformatics, Proteomics and Genomics The University of Toledo August 2017 Genetic variations are the heritable changes in DNA caused by mutation and can be present in both coding and non-coding region of the DNA. They provide great resources for the evolution of an organism in response to environmental and biological changes. Analysis of these variants (such as Single Nucleotide Polymorphism (SNPs), Indels, and other structural variants like Copy Number Variations (CNV)) thus, have a wide range of potential applications. These include identification of causative variants and the genes for genetic diseases, personalized genomics, population and evolutionary genetics, and forensic biology. This study represents two such applications of human variant analysis (particularly the analysis of SNPs and Indels).