The T-Box Transcription Factor Eomesodermin Acts Upstream of Mesp1 to Specify Cardiac Mesoderm During Mouse Gastrulation
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Regulation of Cardiac Progenitors by Combination of Mesp1 and ETS
REGULATION OF CARDIAC PROGENITORS BY COMBINATION OF MESP1 AND ETS TRANSCRIPTION FACTORS A Dissertation by KUO-CHAN WENG Submitted to the Office of Graduate and Professional Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Chair of Committee, Fen Wang Co-Chair of Committee, Robert J. Schwartz Committee Members, James F. Martin Jiang Chang Head of Department, Fen Wang May 2014 Major Subject: Medical Science Copyright 2014 Kuo-Chan Weng ABSTRACT Heart disease remains the leading cause of death worldwide. By understanding the regulating networks during cardiac development we can exploit those networks to manipulate adult cells into cardiac progenitors and provide an alternative for repairing diseased hearts. Mesp1 is considered to have critical roles during cardiac development but the molecular mechanisms need to be further studied. The roles of ETS transcription factors have been primarily limited to hematopoietic differentiation and cancer progression. The ETS transcription factors are known to have proliferating roles and were hypothesized to also be involved in cardiac differentiation and may potentially be used for cell reprogramming. The first part of this study characterizes the expression pattern of Mesp1 protein in early mouse embryo from E6.5 to E9.5 and provides a full expression profile in differentiating embryoid bodies in vitro from the undifferentiated stage to Day10. Our work showed Mesp1 expresses in the posterior region of E6.5 embryo then starts migrating through the primitive streak toward anterior mesoderm and endoderm in E7.5. A Mesp1 linage tracing ES cell line was established, and it allowed us to trace the Mesp1 derived cell population. -
MKL1 (C) Antibody, Rabbit Polyclonal
Order: (888)-282-5810 (Phone) (818)-707-0392 (Fax) [email protected] Web: www.Abiocode.com MKL1 (C) Antibody, Rabbit Polyclonal Cat#: R2403-2 Lot#: Refer to vial Quantity: 100 ul Application: WB Predicted I Observed M.W.: 99 I 140 kDa Uniprot ID: Q969V6 Background: MKL/myocardin-like protein 1 (MKL1) is a transcriptional coactivator of serum response factor (SRF) with the potential to modulate SRF target genes. MKL1 suppresses TNF-induced cell death by inhibiting activation of caspases; its transcriptional activity is indispensable for the antiapoptotic function. MKL1 may up-regulate antiapoptotic molecules, which in turn inhibit caspase activation. Other Names: MKL/myocardin-like protein 1, Megakaryoblastic leukemia 1 protein, Megakaryocytic acute leukemia protein, Myocardin-related transcription factor A, MRTF-A, KIAA1438, MAL Source and Purity: Rabbit polyclonal antibodies were produced by immunizing animals with a GST-fusion protein containing the C-terminal region of human MKL1. Antibodies were purified by affinity purification using immunogen. Storage Buffer and Condition: Supplied in 1 x PBS (pH 7.4), 100 ug/ml BSA, 40% Glycerol, 0.01% NaN3. Store at -20 °C. Stable for 6 months from date of receipt. Species Specificity: Human Tested Applications: WB: 1:1,000-1:3,000 (detect endogenous protein*) *: The apparent protein size on WB may be different from the calculated M.W. due to modifications. For research use only. Not for therapeutic or diagnostic purposes. Abiocode, Inc., 29397 Agoura Rd., Ste 106, Agoura Hills, CA 91301 Order: (888)-282-5810 (Phone) (818)-707-0392 (Fax) [email protected] Web: www.Abiocode.com Product Data: kDa A B 250 150 100 75 50 37 Fig 1. -
Detailed Review Paper on Retinoid Pathway Signalling
1 1 Detailed Review Paper on Retinoid Pathway Signalling 2 December 2020 3 2 4 Foreword 5 1. Project 4.97 to develop a Detailed Review Paper (DRP) on the Retinoid System 6 was added to the Test Guidelines Programme work plan in 2015. The project was 7 originally proposed by Sweden and the European Commission later joined the project as 8 a co-lead. In 2019, the OECD Secretariat was added to coordinate input from expert 9 consultants. The initial objectives of the project were to: 10 draft a review of the biology of retinoid signalling pathway, 11 describe retinoid-mediated effects on various organ systems, 12 identify relevant retinoid in vitro and ex vivo assays that measure mechanistic 13 effects of chemicals for development, and 14 Identify in vivo endpoints that could be added to existing test guidelines to 15 identify chemical effects on retinoid pathway signalling. 16 2. This DRP is intended to expand the recommendations for the retinoid pathway 17 included in the OECD Detailed Review Paper on the State of the Science on Novel In 18 vitro and In vivo Screening and Testing Methods and Endpoints for Evaluating 19 Endocrine Disruptors (DRP No 178). The retinoid signalling pathway was one of seven 20 endocrine pathways considered to be susceptible to environmental endocrine disruption 21 and for which relevant endpoints could be measured in new or existing OECD Test 22 Guidelines for evaluating endocrine disruption. Due to the complexity of retinoid 23 signalling across multiple organ systems, this effort was foreseen as a multi-step process. -
Table 2. Significant
Table 2. Significant (Q < 0.05 and |d | > 0.5) transcripts from the meta-analysis Gene Chr Mb Gene Name Affy ProbeSet cDNA_IDs d HAP/LAP d HAP/LAP d d IS Average d Ztest P values Q-value Symbol ID (study #5) 1 2 STS B2m 2 122 beta-2 microglobulin 1452428_a_at AI848245 1.75334941 4 3.2 4 3.2316485 1.07398E-09 5.69E-08 Man2b1 8 84.4 mannosidase 2, alpha B1 1416340_a_at H4049B01 3.75722111 3.87309653 2.1 1.6 2.84852656 5.32443E-07 1.58E-05 1110032A03Rik 9 50.9 RIKEN cDNA 1110032A03 gene 1417211_a_at H4035E05 4 1.66015788 4 1.7 2.82772795 2.94266E-05 0.000527 NA 9 48.5 --- 1456111_at 3.43701477 1.85785922 4 2 2.8237185 9.97969E-08 3.48E-06 Scn4b 9 45.3 Sodium channel, type IV, beta 1434008_at AI844796 3.79536664 1.63774235 3.3 2.3 2.75319499 1.48057E-08 6.21E-07 polypeptide Gadd45gip1 8 84.1 RIKEN cDNA 2310040G17 gene 1417619_at 4 3.38875643 1.4 2 2.69163229 8.84279E-06 0.0001904 BC056474 15 12.1 Mus musculus cDNA clone 1424117_at H3030A06 3.95752801 2.42838452 1.9 2.2 2.62132809 1.3344E-08 5.66E-07 MGC:67360 IMAGE:6823629, complete cds NA 4 153 guanine nucleotide binding protein, 1454696_at -3.46081884 -4 -1.3 -1.6 -2.6026947 8.58458E-05 0.0012617 beta 1 Gnb1 4 153 guanine nucleotide binding protein, 1417432_a_at H3094D02 -3.13334396 -4 -1.6 -1.7 -2.5946297 1.04542E-05 0.0002202 beta 1 Gadd45gip1 8 84.1 RAD23a homolog (S. -
Watsonjn2018.Pdf (1.780Mb)
UNIVERSITY OF CENTRAL OKLAHOMA Edmond, Oklahoma Department of Biology Investigating Differential Gene Expression in vivo of Cardiac Birth Defects in an Avian Model of Maternal Phenylketonuria A THESIS SUBMITTED TO THE GRADUATE FACULTY In partial fulfillment of the requirements For the degree of MASTER OF SCIENCE IN BIOLOGY By Jamie N. Watson Edmond, OK June 5, 2018 J. Watson/Dr. Nikki Seagraves ii J. Watson/Dr. Nikki Seagraves Acknowledgements It is difficult to articulate the amount of gratitude I have for the support and encouragement I have received throughout my master’s thesis. Many people have added value and support to my life during this time. I am thankful for the education, experience, and friendships I have gained at the University of Central Oklahoma. First, I would like to thank Dr. Nikki Seagraves for her mentorship and friendship. I lucked out when I met her. I have enjoyed working on this project and I am very thankful for her support. I would like thank Thomas Crane for his support and patience throughout my master’s degree. I would like to thank Dr. Shannon Conley for her continued mentorship and support. I would like to thank Liz Bullen and Dr. Eric Howard for their training and help on this project. I would like to thank Kristy Meyer for her friendship and help throughout graduate school. I would like to thank my committee members Dr. Robert Brennan and Dr. Lilian Chooback for their advisement on this project. Also, I would like to thank the biology faculty and staff. I would like to thank the Seagraves lab members: Jailene Canales, Kayley Pate, Mckayla Muse, Grace Thetford, Kody Harvey, Jordan Guffey, and Kayle Patatanian for their hard work and support. -
Wide-Scale Analysis of Human Functional Transcription Factor
Wide-Scale Analysis of Human Functional Transcription Factor Binding Reveals a Strong Bias towards the Transcription Start Site Yuval Tabach1,2, Ran Brosh2, Yossi Buganim2, Anat Reiner1, Or Zuk1, Assif Yitzhaky1, Mark Koudritsky1, Varda Rotter2 and Eytan Domany1,* 1Departments of Physics of Complex Systems and 2Molecular Cell Biology, The Weizmann Institute of Science, Rehovot 76100, Israel *Corresponding author. Email: [email protected] Tel: +972-8-9343964 Fax: +972-8- 9344109 Running title: Binding Sites Location Bias Keywords: Transcription factor binding sites, location bias, cell cycle, NF-kB, promoter, Gene Ontology, TATA, myocardin 1 Summary Background: Elucidating basic principles that underlie regulation of gene expression by transcription factors (TFs) is a central challenge of the post-genomic era. Transcription factors regulate expression by binding to specific DNA sequences; such a binding event is functional when it affects gene expression. Functionality of a binding site is reflected in conservation of the binding sequence during evolution and in over represented binding in gene groups with coherent biological functions. Functionality is governed by several parameters such as the TF- DNA binding strength, distance of the binding site from the transcription start site (TSS), DNA packing, and more. Understanding how these parameters control functionality of different TFs in different biological contexts is an essential step towards identifying functional TF binding sites, a must for understanding regulation of transcription. Methodology/Principal Findings: We introduce a novel method to screen the promoters of a set of genes with shared biological function, against a precompiled library of motifs, and find those motifs which are statistically over-represented in the gene set. -
Supplementary Figure S4
18DCIS 18IDC Supplementary FigureS4 22DCIS 22IDC C D B A E (0.77) (0.78) 16DCIS 14DCIS 28DCIS 16IDC 28IDC (0.43) (0.49) 0 ADAMTS12 (p.E1469K) 14IDC ERBB2, LASP1,CDK12( CCNE1 ( NUTM2B SDHC,FCGR2B,PBX1,TPR( CD1D, B4GALT3, BCL9, FLG,NUP21OL,TPM3,TDRD10,RIT1,LMNA,PRCC,NTRK1 0 ADAMTS16 (p.E67K) (0.67) (0.89) (0.54) 0 ARHGEF38 (p.P179Hfs*29) 0 ATG9B (p.P823S) (0.68) (1.0) ARID5B, CCDC6 CCNE1, TSHZ3,CEP89 CREB3L2,TRIM24 BRAF, EGFR (7p11); 0 ABRACL (p.R35H) 0 CATSPER1 (p.P152H) 0 ADAMTS18 (p.Y799C) 19q12 0 CCDC88C (p.X1371_splice) (0) 0 ADRA1A (p.P327L) (10q22.3) 0 CCNF (p.D637N) −4 −2 −4 −2 0 AKAP4 (p.G454A) 0 CDYL (p.Y353Lfs*5) −4 −2 Log2 Ratio Log2 Ratio −4 −2 Log2 Ratio Log2 Ratio 0 2 4 0 2 4 0 ARID2 (p.R1068H) 0 COL27A1 (p.G646E) 0 2 4 0 2 4 2 EDRF1 (p.E521K) 0 ARPP21 (p.P791L) ) 0 DDX11 (p.E78K) 2 GPR101, p.A174V 0 ARPP21 (p.P791T) 0 DMGDH (p.W606C) 5 ANP32B, p.G237S 16IDC (Ploidy:2.01) 16DCIS (Ploidy:2.02) 14IDC (Ploidy:2.01) 14DCIS (Ploidy:2.9) -3 -2 -1 -3 -2 -1 -3 -2 -1 -3 -2 -1 -3 -2 -1 -3 -2 -1 Log Ratio Log Ratio Log Ratio Log Ratio 12DCIS 0 ASPM (p.S222T) Log Ratio Log Ratio 0 FMN2 (p.G941A) 20 1 2 3 2 0 1 2 3 2 ERBB3 (p.D297Y) 2 0 1 2 3 20 1 2 3 0 ATRX (p.L1276I) 20 1 2 3 2 0 1 2 3 0 GALNT18 (p.F92L) 2 MAPK4, p.H147Y 0 GALNTL6 (p.E236K) 5 C11orf1, p.Y53C (10q21.2); 0 ATRX (p.R1401W) PIK3CA, p.H1047R 28IDC (Ploidy:2.0) 28DCIS (Ploidy:2.0) 22IDC (Ploidy:3.7) 22DCIS (Ploidy:4.1) 18IDC (Ploidy:3.9) 18DCIS (Ploidy:2.3) 17q12 0 HCFC1 (p.S2025C) 2 LCMT1 (p.S34A) 0 ATXN7L2 (p.X453_splice) SPEN, p.P677Lfs*13 CBFB 1 2 3 4 5 6 7 8 9 10 11 -
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. -
Myocardin (MYOCD) (NM 001146312) Human Tagged ORF Clone Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for RC229055L3 Myocardin (MYOCD) (NM_001146312) Human Tagged ORF Clone Product data: Product Type: Expression Plasmids Product Name: Myocardin (MYOCD) (NM_001146312) Human Tagged ORF Clone Tag: Myc-DDK Symbol: MYOCD Synonyms: MGBL; MYCD Vector: pLenti-C-Myc-DDK-P2A-Puro (PS100092) E. coli Selection: Chloramphenicol (34 ug/mL) Cell Selection: Puromycin ORF Nucleotide The ORF insert of this clone is exactly the same as(RC229055). Sequence: Restriction Sites: SgfI-MluI Cloning Scheme: ACCN: NM_001146312 ORF Size: 2958 bp This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 3 Myocardin (MYOCD) (NM_001146312) Human Tagged ORF Clone – RC229055L3 OTI Disclaimer: Due to the inherent nature of this plasmid, standard methods to replicate additional amounts of DNA in E. coli are highly likely to result in mutations and/or rearrangements. Therefore, OriGene does not guarantee the capability to replicate this plasmid DNA. Additional amounts of DNA can be purchased from OriGene with batch-specific, full-sequence verification at a reduced cost. Please contact our customer care team at [email protected] or by calling 301.340.3188 option 3 for pricing and delivery. The molecular sequence of this clone aligns with the gene accession number as a point of reference only. However, individual transcript sequences of the same gene can differ through naturally occurring variations (e.g. -
The Regulation of Lunatic Fringe During Somitogenesis
THE REGULATION OF LUNATIC FRINGE DURING SOMITOGENESIS DISSERTATION Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Emily T. Shifley ***** The Ohio State University 2009 Dissertation Committee: Approved by Professor Susan Cole, Advisor Professor Christine Beattie _________________________________ Professor Mark Seeger Advisor Graduate Program in Molecular Genetics Professor Michael Weinstein ABSTRACT Somitogenesis is the morphological hallmark of vertebrate segmentation. Somites bud from the presomitic mesoderm (PSM) in a sequential, periodic fashion and give rise to the rib cage, vertebrae, and dermis and muscles of the back. The regulation of somitogenesis is complex. In the posterior region of the PSM, a segmentation clock operates to organize cohorts of cells into presomites, while in the anterior region of the PSM the presomites are patterned into rostral and caudal compartments (R/C patterning). Both of these stages of somitogenesis are controlled, at least in part, by the Notch pathway and Lunatic fringe (Lfng), a glycosyltransferase that modifies the Notch receptor. To dissect the roles played by Lfng during somitogenesis, we created a novel allele that lacks cyclic Lfng expression within the segmentation clock, but that maintains expression during R/C somite patterning (Lfng∆FCE1). Lfng∆FCE1/∆FCE1 mice have severe defects in their anterior vertebrae and rib cages, but relatively normal sacral and tail vertebrae, unlike Lfng knockouts. Segmentation clock function is differentially affected by the ∆FCE1 deletion; during anterior somitogenesis the expression patterns of many clock genes are disrupted, while during posterior somitogenesis, certain clock components have recovered. R/C patterning occurs relatively normally in Lfng∆FCE1/∆FCE1 embryos, likely contributing to the partial phenotype rescue, and confirming that Lfng ii plays separate roles in the two regions of the PSM. -
Gene Expression During Normal and FSHD Myogenesis Tsumagari Et Al
Gene expression during normal and FSHD myogenesis Tsumagari et al. Tsumagari et al. BMC Medical Genomics 2011, 4:67 http://www.biomedcentral.com/1755-8794/4/67 (27 September 2011) Tsumagari et al. BMC Medical Genomics 2011, 4:67 http://www.biomedcentral.com/1755-8794/4/67 RESEARCHARTICLE Open Access Gene expression during normal and FSHD myogenesis Koji Tsumagari1, Shao-Chi Chang1, Michelle Lacey2,3, Carl Baribault2,3, Sridar V Chittur4, Janet Sowden5, Rabi Tawil5, Gregory E Crawford6 and Melanie Ehrlich1,3* Abstract Background: Facioscapulohumeral muscular dystrophy (FSHD) is a dominant disease linked to contraction of an array of tandem 3.3-kb repeats (D4Z4) at 4q35. Within each repeat unit is a gene, DUX4, that can encode a protein containing two homeodomains. A DUX4 transcript derived from the last repeat unit in a contracted array is associated with pathogenesis but it is unclear how. Methods: Using exon-based microarrays, the expression profiles of myogenic precursor cells were determined. Both undifferentiated myoblasts and myoblasts differentiated to myotubes derived from FSHD patients and controls were studied after immunocytochemical verification of the quality of the cultures. To further our understanding of FSHD and normal myogenesis, the expression profiles obtained were compared to those of 19 non-muscle cell types analyzed by identical methods. Results: Many of the ~17,000 examined genes were differentially expressed (> 2-fold, p < 0.01) in control myoblasts or myotubes vs. non-muscle cells (2185 and 3006, respectively) or in FSHD vs. control myoblasts or myotubes (295 and 797, respectively). Surprisingly, despite the morphologically normal differentiation of FSHD myoblasts to myotubes, most of the disease-related dysregulation was seen as dampening of normal myogenesis- specific expression changes, including in genes for muscle structure, mitochondrial function, stress responses, and signal transduction. -
Modeling the Human Segmentation Clock with Pluripotent Stem Cells 2 3 Mitsuhiro Matsuda1,10, Yoshihiro Yamanaka2,10, Maya Uemura2,3, Mitsujiro Osawa4, 4 Megumu K
bioRxiv preprint doi: https://doi.org/10.1101/562447; this version posted February 27, 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 Modeling the Human Segmentation Clock with Pluripotent Stem Cells 2 3 Mitsuhiro Matsuda1,10, Yoshihiro Yamanaka2,10, Maya Uemura2,3, Mitsujiro Osawa4, 4 Megumu K. Saito4, Ayako Nagahashi4, Megumi Nishio3, Long Guo5, Shiro Ikegawa5, 5 Satoko Sakurai6, Shunsuke Kihara7, Michiko Nakamura6, Tomoko Matsumoto6, Hiroyuki 6 Yoshitomi2,3, Makoto Ikeya6, Takuya Yamamoto6,8, Knut Woltjen6,9, Miki Ebisuya1*, 7 Junya Toguchida2,3, Cantas Alev2* 8 9 1 Laboratory for Reconstitutive Developmental Biology, RIKEN Center for Biosystems 10 Dynamics Research (RIKEN BDR), Kobe 650-0047, Japan. 11 2 Department of Cell Growth and Differentiation, Center for iPS Cell Research and 12 Application (CiRA), Kyoto University, Kyoto 606-8507, Japan. 13 3 Department of Regeneration Science and Engineering, Institute for Frontier Life and 14 Medical Sciences, Kyoto University, Kyoto 606-8507, Japan. 15 4 Department of Clinical Application, Center for iPS Cell Research and Application 16 (CiRA), Kyoto University, Kyoto 606-8507, Japan. 17 5 Laboratory for Bone and Joint Diseases, RIKEN Center for Integrative Medical 18 Sciences (RIKEN IMS), Tokyo 108-8639, Japan. 19 6 Department of Life Science Frontiers, Center for iPS Cell Research and Application 20 (CiRA), Kyoto University, 606-8507, Kyoto 108-8639, Japan. 21 7 Department of Fundamental Cell Technology, Center for iPS Cell Research and 22 Application (CiRA), Kyoto University, Kyoto 606-8507, Japan. 23 8 AMED-CREST, AMED 1-7-1 Otemachi, Chiyodaku, Tokyo 100-004, Japan.