Long Non-Coding Rnas in Atrial Fibrillation: Pluripotent Stem Cell-Derived Cardiomyocytes As a Model System
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Uterine Double-Conditional Inactivation of Smad2 and Smad3 in Mice Causes Endometrial Dysregulation, Infertility, and Uterine Cancer
Uterine double-conditional inactivation of Smad2 and Smad3 in mice causes endometrial dysregulation, infertility, and uterine cancer Maya Krisemana,b, Diana Monsivaisa,c, Julio Agnoa, Ramya P. Masanda, Chad J. Creightond,e, and Martin M. Matzuka,c,f,g,h,1 aDepartment of Pathology and Immunology, Baylor College of Medicine, Houston, TX 77030; bReproductive Endocrinology and Infertility, Baylor College of Medicine/Texas Children’s Hospital Women’s Pavilion, Houston, TX 77030; cCenter for Drug Discovery, Baylor College of Medicine, Houston, TX 77030; dDepartment of Medicine, Baylor College of Medicine, Houston, TX 77030; eDan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030; fDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030; gDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030; and hDepartment of Pharmacology and Chemical Biology, Baylor College of Medicine, Houston, TX 77030 Contributed by Martin M. Matzuk, December 6, 2018 (sent for review April 30, 2018; reviewed by Milan K. Bagchi and Thomas E. Spencer) SMAD2 and SMAD3 are downstream proteins in the transforming in endometrial function. Notably, members of the transforming growth factor-β (TGF β) signaling pathway that translocate signals growth factor β (TGF β) family are involved in many cellular from the cell membrane to the nucleus, bind DNA, and control the processes and serve as principal regulators of numerous biological expression of target genes. While SMAD2/3 have important roles functions, including female reproduction. Previous studies have in the ovary, we do not fully understand the roles of SMAD2/3 in shown the TGF β family to have key roles in ovarian folliculo- the uterus and their implications in the reproductive system. -
Requirement of the Fusogenic Micropeptide Myomixer for Muscle Formation in Zebrafish
Requirement of the fusogenic micropeptide myomixer for muscle formation in zebrafish Jun Shia,b,1, Pengpeng Bia,b,c,1, Jimin Peid, Hui Lia,b,c, Nick V. Grishind,e, Rhonda Bassel-Dubya,b,c, Elizabeth H. Chena,b,2, and Eric N. Olsona,b,c,2 aDepartment of Molecular Biology, University of Texas Southwestern Medical Center, Dallas, TX 75390; bHamon Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390; cSenator Paul D. Wellstone Muscular Dystrophy Cooperative Research Center, University of Texas Southwestern Medical Center, Dallas, TX 75390; dHoward Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, TX 75390; and eDepartment of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX 75390 Contributed by Eric N. Olson, September 28, 2017 (sent for review August 29, 2017; reviewed by Chen-Ming Fan and Thomas A. Rando) Skeletal muscle formation requires fusion of mononucleated myo- CRISPR/Cas9, we show that myomixer is required for zebrafish blasts to form multinucleated myofibers. The muscle-specific mem- myoblast fusion. We also identify additional distantly related brane proteins myomaker and myomixer cooperate to drive myomixer orthologs from genomes of turtle and elephant shark, mammalian myoblast fusion. Whereas myomaker is highly conserved which like zebrafish myomixer can substitute for mouse myomixer across diverse vertebrate species, myomixer is a micropeptide that to promote cell fusion together with myomaker in cultured cells. shows relatively weak cross-species conservation. To explore the By comparison of amino acid sequences across these diverse functional conservation of myomixer, we investigated the expres- species, we identify a unique protein motif required for the sion and function of the zebrafish myomixer ortholog. -
Table S1 the Four Gene Sets Derived from Gene Expression Profiles of Escs and Differentiated Cells
Table S1 The four gene sets derived from gene expression profiles of ESCs and differentiated cells Uniform High Uniform Low ES Up ES Down EntrezID GeneSymbol EntrezID GeneSymbol EntrezID GeneSymbol EntrezID GeneSymbol 269261 Rpl12 11354 Abpa 68239 Krt42 15132 Hbb-bh1 67891 Rpl4 11537 Cfd 26380 Esrrb 15126 Hba-x 55949 Eef1b2 11698 Ambn 73703 Dppa2 15111 Hand2 18148 Npm1 11730 Ang3 67374 Jam2 65255 Asb4 67427 Rps20 11731 Ang2 22702 Zfp42 17292 Mesp1 15481 Hspa8 11807 Apoa2 58865 Tdh 19737 Rgs5 100041686 LOC100041686 11814 Apoc3 26388 Ifi202b 225518 Prdm6 11983 Atpif1 11945 Atp4b 11614 Nr0b1 20378 Frzb 19241 Tmsb4x 12007 Azgp1 76815 Calcoco2 12767 Cxcr4 20116 Rps8 12044 Bcl2a1a 219132 D14Ertd668e 103889 Hoxb2 20103 Rps5 12047 Bcl2a1d 381411 Gm1967 17701 Msx1 14694 Gnb2l1 12049 Bcl2l10 20899 Stra8 23796 Aplnr 19941 Rpl26 12096 Bglap1 78625 1700061G19Rik 12627 Cfc1 12070 Ngfrap1 12097 Bglap2 21816 Tgm1 12622 Cer1 19989 Rpl7 12267 C3ar1 67405 Nts 21385 Tbx2 19896 Rpl10a 12279 C9 435337 EG435337 56720 Tdo2 20044 Rps14 12391 Cav3 545913 Zscan4d 16869 Lhx1 19175 Psmb6 12409 Cbr2 244448 Triml1 22253 Unc5c 22627 Ywhae 12477 Ctla4 69134 2200001I15Rik 14174 Fgf3 19951 Rpl32 12523 Cd84 66065 Hsd17b14 16542 Kdr 66152 1110020P15Rik 12524 Cd86 81879 Tcfcp2l1 15122 Hba-a1 66489 Rpl35 12640 Cga 17907 Mylpf 15414 Hoxb6 15519 Hsp90aa1 12642 Ch25h 26424 Nr5a2 210530 Leprel1 66483 Rpl36al 12655 Chi3l3 83560 Tex14 12338 Capn6 27370 Rps26 12796 Camp 17450 Morc1 20671 Sox17 66576 Uqcrh 12869 Cox8b 79455 Pdcl2 20613 Snai1 22154 Tubb5 12959 Cryba4 231821 Centa1 17897 -
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. -
Pitx2 Prevents Susceptibility to Atrial Arrhythmias by Inhibiting Left-Sided Pacemaker Specification
Pitx2 prevents susceptibility to atrial arrhythmias by inhibiting left-sided pacemaker specification Jun Wanga, Elzbieta Klysika, Subeena Soodb, Randy L. Johnsonc, Xander H. T. Wehrensb,d, and James F. Martina,1 aInstitute of Biosciences and Technology, Texas A&M System Health Science Center, Houston, TX 77030; Departments of bMolecular Physiology and Biophysics and dMedicine (in Cardiology), Baylor College of Medicine, Houston, TX 77030; and cDepartment of Biochemistry and Molecular Biology, MD Anderson Cancer Center, Houston, TX 77030 Edited by Eric N. Olson, University of Texas Southwestern, Dallas, TX, and approved April 16, 2010 (received for review October 30, 2009) Atrial fibrillation (AF), the most prevalent sustained cardiac arrhyth- part through Nodal signaling. Pitx2c is the major downstream mia, often coexists with the related arrhythmia atrial flutter (AFL). effector of the Nodal pathway (10). Limitations in effectiveness and safety of current therapies make an Recent genome-wide association studies identified sequence understanding of the molecular mechanism underlying AF more variants on chromosome 4q25 that were associated with in- urgent. Genome-wide association studies implicated a region of creased risk for AF in multiple human populations (11–13). human chromosome 4q25 in familial AF and AFL, ≈150 kb distal to Moreover, the 4q25 variants were strongly associated with AF the Pitx2 homeobox gene, a developmental left–right asymmetry cases diagnosed at an earlier age (<60 years) and with recurrence (LRA) gene. To investigate the significance of the 4q25 variants, we after ablation therapy (14). In a small Icelandic cohort, the se- used mouse models to investigate Pitx2 in atrial arrhythmogenesis quence variants also were strongly associated with AFL (11). -
Galnt11 Is a Novel Galnac-Transferase That
Yale University EliScholar – A Digital Platform for Scholarly Publishing at Yale Yale Medicine Thesis Digital Library School of Medicine January 2012 Galnt11 Is A Novel Galnac-Transferase That Glycosylates Notch1 Receptor To Specify Between Motor And Sensory Ciliary Fates In The eV rtebrate Left-Right Organizer Marko Boskovski Yale School of Medicine, [email protected] Follow this and additional works at: http://elischolar.library.yale.edu/ymtdl Recommended Citation Boskovski, Marko, "Galnt11 Is A Novel Galnac-Transferase That Glycosylates Notch1 Receptor To Specify Between Motor And Sensory Ciliary Fates In The eV rtebrate Left-Right Organizer" (2012). Yale Medicine Thesis Digital Library. 1696. http://elischolar.library.yale.edu/ymtdl/1696 This Open Access Thesis is brought to you for free and open access by the School of Medicine at EliScholar – A Digital Platform for Scholarly Publishing at Yale. It has been accepted for inclusion in Yale Medicine Thesis Digital Library by an authorized administrator of EliScholar – A Digital Platform for Scholarly Publishing at Yale. For more information, please contact [email protected]. Galnt11 is a Novel GalNAc-transferase that Glycosylates Notch1 Receptor to Specify Between Motor and Sensory Ciliary Fates in the Vertebrate Left-Right Organizer A Thesis Submitted to the Yale University School of Medicine In Partial Fulfillment of the Requirements for the Degree of Doctor of Medicine by Marko T. Boskovski 2012 ABSTRACT GALNT11 IS A NOVEL GALNAC-TRANSFERASE THAT GLYCOSYLATES NOTCH1 RECEPTOR TO SPECIFY BETWEEN MOTOR AND SENSORY CILIARY FATES IN THE VERTEBRATE LEFT-RIGHT ORGANIZER. Marko T. Boskovski, Mustafa Khokha and Martina Brueckner. Section of Cardiology, Department of Pediatrics, Yale University, School of Medicine, New Haven, CT. -
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. -
Computational Analysis Predicts Hundreds of Coding Lncrnas in Zebrafish
biology Communication Computational Analysis Predicts Hundreds of Coding lncRNAs in Zebrafish Shital Kumar Mishra 1,2 and Han Wang 1,2,* 1 Center for Circadian Clocks, Soochow University, Suzhou 215123, China; [email protected] 2 School of Biology & Basic Medical Sciences, Medical College, Soochow University, Suzhou 215123, China * Correspondence: [email protected] or [email protected]; Tel.: +86-512-6588-2115 Simple Summary: Noncoding RNAs (ncRNAs) regulate a variety of fundamental life processes such as development, physiology, metabolism and circadian rhythmicity. RNA-sequencing (RNA- seq) technology has facilitated the sequencing of the whole transcriptome, thereby capturing and quantifying the dynamism of transcriptome-wide RNA expression profiles. However, much remains unrevealed in the huge noncoding RNA datasets that require further bioinformatic analysis. In this study, we applied six bioinformatic tools to investigate coding potentials of approximately 21,000 lncRNAs. A total of 313 lncRNAs are predicted to be coded by all the six tools. Our findings provide insights into the regulatory roles of lncRNAs and set the stage for the functional investigation of these lncRNAs and their encoded micropeptides. Abstract: Recent studies have demonstrated that numerous long noncoding RNAs (ncRNAs having more than 200 nucleotide base pairs (lncRNAs)) actually encode functional micropeptides, which likely represents the next regulatory biology frontier. Thus, identification of coding lncRNAs from ever-increasing lncRNA databases would be a bioinformatic challenge. Here we employed the Coding Potential Alignment Tool (CPAT), Coding Potential Calculator 2 (CPC2), LGC web server, Citation: Mishra, S.K.; Wang, H. Coding-Non-Coding Identifying Tool (CNIT), RNAsamba, and MicroPeptide identification tool Computational Analysis Predicts (MiPepid) to analyze approximately 21,000 zebrafish lncRNAs and computationally to identify Hundreds of Coding lncRNAs in 2730–6676 zebrafish lncRNAs with high coding potentials, including 313 coding lncRNAs predicted Zebrafish. -
Stem Cell Metabolic and Epigenetic Reprogramming
RESEARCH HIGHLIGHTS Cell 16, 39–50, 2015). They discovered that inactivating Rb facilitates Enhancer evolution in mammals reprogramming of fibroblasts to a pluripotent state. Surprisingly, their Widespread changes in regulatory genomic regions have data indicate that this does not involve interference with the cell cycle but underpinned mammalian evolution, but our knowledge about instead that Rb directly binds to and represses pluripotency-associated these regions is still incomplete. Paul Flicek, Duncan Odom and loci such as Oct4 (Pou5f1) and Sox2. Loss of Rb seems to compensate colleagues have now contributed to a better understanding of for the omission of Sox2 from the cocktail of reprogramming factors. how the noncoding portions of mammalian genomes have been Furthermore, genetic disruption of Sox2 precludes tumor formation in reshaped over the last 180 million years (Cell 160, 554–566, mice lacking functional Rb protein. This study positions Rb as a repres- 2015). They characterized active promoters and enhancers in sor of the pluripotency gene regulatory network and suggests that loss of liver samples from 20 mammalian species—from Tasmanian Rb might clear the path for Sox2, or other master regulators of stem cell devil to human—by examining the genome-wide enrichment identity, to induce cancer. It will be interesting to analyze the potential profiles of H3K4me3 and H3K27ac, two histone modifications role of Rb in other types of in vitro reprogramming. TF associated with transcriptional activity. Their analyses suggest that rapid enhancer evolution and high promoter conservation are fundamental traits of mammalian genomes. Intriguingly, they Micropeptide regulates muscle performance find that the majority of newly evolved enhancers originated via It is becoming increasingly recognized that some transcripts anno- functional exaptation of ancestral DNA and not through clade- tated as long noncoding RNAs (lncRNAs) contain short ORFs that specific expansions of repeat elements. -
The Lncrna Toolkit: Databases and in Silico Tools for Lncrna Analysis
non-coding RNA Review The lncRNA Toolkit: Databases and In Silico Tools for lncRNA Analysis Holly R. Pinkney † , Brandon M. Wright † and Sarah D. Diermeier * Department of Biochemistry, University of Otago, Dunedin 9016, New Zealand; [email protected] (H.R.P.); [email protected] (B.M.W.) * Correspondence: [email protected] † These authors contributed equally to this work. Received: 29 November 2020; Accepted: 15 December 2020; Published: 16 December 2020 Abstract: Long non-coding RNAs (lncRNAs) are a rapidly expanding field of research, with many new transcripts identified each year. However, only a small subset of lncRNAs has been characterized functionally thus far. To aid investigating the mechanisms of action by which new lncRNAs act, bioinformatic tools and databases are invaluable. Here, we review a selection of computational tools and databases for the in silico analysis of lncRNAs, including tissue-specific expression, protein coding potential, subcellular localization, structural conformation, and interaction partners. The assembled lncRNA toolkit is aimed primarily at experimental researchers as a useful starting point to guide wet-lab experiments, mainly containing multi-functional, user-friendly interfaces. With more and more new lncRNA analysis tools available, it will be essential to provide continuous updates and maintain the availability of key software in the future. Keywords: non-coding RNAs; long non-coding RNAs; databases; computational analysis; bioinformatic prediction software; RNA interactions; coding potential; RNA structure; RNA function 1. Introduction For decades, the human genome was thought to be a desert of ‘junk DNA’ with sporadic oases of transcriptionally active genes, most of them coding for proteins. -
Wnt/Lef1 Signaling Acts Via Pitx2 to Regulate Somite Myogenesis
Developmental Biology 337 (2010) 211–219 Contents lists available at ScienceDirect Developmental Biology journal homepage: www.elsevier.com/developmentalbiology Wnt/Lef1 signaling acts via Pitx2 to regulate somite myogenesis Muhammad Abu-Elmagd a, Lesley Robson b, Dylan Sweetman a, Julia Hadley c, Philippa Francis-West c,⁎, Andrea Münsterberg a,⁎ a University of East Anglia, School of Biological Sciences, Norwich, NR4 7TJ Earlham Road, UK b Queen Mary University of London, Neuroscience, Barts and The London SMD, E1 2AD London, UK c Craniofacial Development, The Dental Institute, King's College London, Guy's Campus, London, SE1 9RT, UK article info abstract Article history: Wnt signaling has been implicated in somite, limb, and branchial arch myogenesis but the mechanisms and Received for publication 23 February 2009 roles are not clear. We now show that Wnt signaling via Lef1 acts to regulate the number of premyogenic Revised 18 September 2009 cells in somites but does not regulate myogenic initiation in the limb bud or maintenance in the first or Accepted 14 October 2009 second branchial arch. We have also analysed the function and regulation of a putative downstream Available online 20 October 2009 transcriptional target of canonical Wnt signaling, Pitx2. We show that loss-of-function of Pitx2 decreases the Keywords: number of myogenic cells in the somite, whereas overexpression increases myocyte number particularly in Chicken embryo the epaxial region of the myotome. Increased numbers of mitotic cells were observed following Wnt signaling overexpression of Pitx2 or an activated form of Lef1, suggesting an effect on cell proliferation. In addition, Myogenesis we show that Pitx2 expression is regulated by canonical Wnt signaling in the epaxial somite and second Lef1 branchial arch, but not in the limb or the first branchial arch. -
TTPAL Promotes Colorectal Tumorigenesis
Published OnlineFirst April 24, 2019; DOI: 10.1158/0008-5472.CAN-18-2986 Cancer Molecular Cell Biology Research TTPAL Promotes Colorectal Tumorigenesis by Stabilizing TRIP6 to Activate Wnt/b-Catenin Signaling Hongyan Gou1,2, Jessie Qiaoyi Liang2, Lijing Zhang2, Huarong Chen2, Yanquan Zhang2, Rui Li2, Xiaohong Wang3, Jiafu Ji3, Joanna H. Tong4, Ka-Fai To4, Joseph J.Y. Sung2, Francis K.L. Chan2, Jing-Yuan Fang1, and Jun Yu2 Abstract Copy number alterations are crucial for the development of TTPAL. Depletion of TRIP6 significantly abolished the effects of colorectal cancer. Our whole-genome analysis identified TTPAL on cell proliferation and Wnt activation. Direct binding tocopherol alpha transfer protein-like (TTPAL) as preferentially of TTPAL with TRIP6 in the cytoplasm inhibited ubiquitin- amplified in colorectal cancer. Here we demonstrate that fre- mediated degradation of TRIP6 and, subsequently, increased quent copy number gain of TTPAL leads to gene overexpression levels of TRIP6 displaced b-catenin from the tumor suppressor in colorectal cancer from a Chinese cohort (n ¼ 102), whichwas MAGI1 via competitive binding. This sequence of events allows further validated by a The Cancer Genome Atlas (TCGA) cohort b-catenin to enter the nucleus and promotes oncogenic Wnt/ (n ¼ 376). High expression of TTPAL was significantly associ- b-catenin signaling. In conclusion, TTPAL is commonly over- ated with shortened survival in patients with colorectal cancer. expressed in colorectal cancer due to copy number gain, which TTPAL promoted cell viability and clonogenicity, accelerated promotes colorectal tumorigenesis by activating Wnt/b-catenin cell-cycle progression, inhibited cell apoptosis, increased cell signaling via stabilization of TRIP6.