Glucocorticoids Promote Structural and Functional Maturation of Foetal Cardiomyocytes: a Role for PGC-1Α
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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. -
Precision Medicine for Human Cancers with Notch Signaling Dysregulation (Review)
INTERNATIONAL JOURNAL OF MOleCular meDICine 45: 279-297, 2020 Precision medicine for human cancers with Notch signaling dysregulation (Review) MASUKO KATOH1 and MASARU KATOH2 1M & M PrecMed, Tokyo 113-0033; 2Department of Omics Network, National Cancer Center, Tokyo 104-0045, Japan Received September 16, 2019; Accepted November 20, 2019 DOI: 10.3892/ijmm.2019.4418 Abstract. NOTCH1, NOTCH2, NOTCH3 and NOTCH4 are conjugate (ADC) Rova-T, and DLL3-targeting chimeric antigen transmembrane receptors that transduce juxtacrine signals of receptor‑modified T cells (CAR‑Ts), AMG 119, are promising the delta-like canonical Notch ligand (DLL)1, DLL3, DLL4, anti-cancer therapeutics, as are other ADCs or CAR-Ts targeting jagged canonical Notch ligand (JAG)1 and JAG2. Canonical tumor necrosis factor receptor superfamily member 17, Notch signaling activates the transcription of BMI1 proto-onco- CD19, CD22, CD30, CD79B, CD205, Claudin 18.2, fibro- gene polycomb ring finger, cyclin D1, CD44, cyclin dependent blast growth factor receptor (FGFR)2, FGFR3, receptor-type kinase inhibitor 1A, hes family bHLH transcription factor 1, tyrosine-protein kinase FLT3, HER2, hepatocyte growth factor hes related family bHLH transcription factor with YRPW receptor, NECTIN4, inactive tyrosine-protein kinase 7, inac- motif 1, MYC, NOTCH3, RE1 silencing transcription factor and tive tyrosine-protein kinase transmembrane receptor ROR1 transcription factor 7 in a cellular context-dependent manner, and tumor-associated calcium signal transducer 2. ADCs and while non-canonical Notch signaling activates NF-κB and Rac CAR-Ts could alter the therapeutic framework for refractory family small GTPase 1. Notch signaling is aberrantly activated cancers, especially diffuse-type gastric cancer, ovarian cancer in breast cancer, non-small-cell lung cancer and hematological and pancreatic cancer with peritoneal dissemination. -
Activated Peripheral-Blood-Derived Mononuclear Cells
Transcription factor expression in lipopolysaccharide- activated peripheral-blood-derived mononuclear cells Jared C. Roach*†, Kelly D. Smith*‡, Katie L. Strobe*, Stephanie M. Nissen*, Christian D. Haudenschild§, Daixing Zhou§, Thomas J. Vasicek¶, G. A. Heldʈ, Gustavo A. Stolovitzkyʈ, Leroy E. Hood*†, and Alan Aderem* *Institute for Systems Biology, 1441 North 34th Street, Seattle, WA 98103; ‡Department of Pathology, University of Washington, Seattle, WA 98195; §Illumina, 25861 Industrial Boulevard, Hayward, CA 94545; ¶Medtronic, 710 Medtronic Parkway, Minneapolis, MN 55432; and ʈIBM Computational Biology Center, P.O. Box 218, Yorktown Heights, NY 10598 Contributed by Leroy E. Hood, August 21, 2007 (sent for review January 7, 2007) Transcription factors play a key role in integrating and modulating system. In this model system, we activated peripheral-blood-derived biological information. In this study, we comprehensively measured mononuclear cells, which can be loosely termed ‘‘macrophages,’’ the changing abundances of mRNAs over a time course of activation with lipopolysaccharide (LPS). We focused on the precise mea- of human peripheral-blood-derived mononuclear cells (‘‘macro- surement of mRNA concentrations. There is currently no high- phages’’) with lipopolysaccharide. Global and dynamic analysis of throughput technology that can precisely and sensitively measure all transcription factors in response to a physiological stimulus has yet to mRNAs in a system, although such technologies are likely to be be achieved in a human system, and our efforts significantly available in the near future. To demonstrate the potential utility of advanced this goal. We used multiple global high-throughput tech- such technologies, and to motivate their development and encour- nologies for measuring mRNA levels, including massively parallel age their use, we produced data from a combination of two distinct signature sequencing and GeneChip microarrays. -
Id4, a New Candidate Gene for Senile Osteoporosis, Acts As a Molecular Switch Promoting Osteoblast Differentiation
Id4, a New Candidate Gene for Senile Osteoporosis, Acts as a Molecular Switch Promoting Osteoblast Differentiation Yoshimi Tokuzawa1., Ken Yagi1., Yzumi Yamashita1, Yutaka Nakachi1, Itoshi Nikaido1, Hidemasa Bono1, Yuichi Ninomiya1, Yukiko Kanesaki-Yatsuka1, Masumi Akita2, Hiromi Motegi3, Shigeharu Wakana3, Tetsuo Noda3,4, Fred Sablitzky5, Shigeki Arai6, Riki Kurokawa6, Toru Fukuda7, Takenobu Katagiri7, Christian Scho¨ nbach8,9, Tatsuo Suda1, Yosuke Mizuno1, Yasushi Okazaki1* 1 Division of Functional Genomics and Systems Medicine, Research Center for Genomic Medicine, Saitama Medical University, Hidaka, Saitama, Japan, 2 Division of Morphological Science, Biomedical Research Center, Saitama Medical University, Iruma-gun, Saitama, Japan, 3 RIKEN BioResource Center, Tsukuba, Ibaraki, Japan, 4 The Cancer Institute of the Japanese Foundation for Cancer Research, Koto-ward, Tokyo, Japan, 5 Developmental Genetics and Gene Control, Institute of Genetics, University of Nottingham, Queen’s Medical Center, Nottingham, United Kingdom, 6 Division of Gene Structure and Function, Research Center for Genomic Medicine, Saitama Medical University, Hidaka, Saitama, Japan, 7 Division of Pathophysiology, Research Center for Genomic Medicine, Saitama Medical University, Hidaka, Saitama, Japan, 8 Division of Genomics and Genetics, Nanyang Technological University School of Biological Sciences, Singapore, Singapore, 9 Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, Iizuka, Fukuoka, Japan Abstract Excessive accumulation of bone marrow adipocytes observed in senile osteoporosis or age-related osteopenia is caused by the unbalanced differentiation of MSCs into bone marrow adipocytes or osteoblasts. Several transcription factors are known to regulate the balance between adipocyte and osteoblast differentiation. However, the molecular mechanisms that regulate the balance between adipocyte and osteoblast differentiation in the bone marrow have yet to be elucidated. -
TRANSCRIPTIONAL REGULATION of Hur in RENAL STRESS
TRANSCRIPTIONAL REGULATION OF HuR IN RENAL STRESS DISSERTATION Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Sudha Suman Govindaraju Graduate Program in Biochemistry The Ohio State University 2014 Dissertation Committee: Dr. Beth S. Lee, Ph.D., Advisor Dr. Kathleen Boris-Lawrie, Ph.D. Dr. Sissy M. Jhiang, Ph.D. Dr. Arthur R. Strauch, Ph.D Abstract HuR is a ubiquitously expressed RNA-binding protein that affects the post- transcriptional life of thousands of cellular mRNAs by regulating transcript stability and translation. HuR can post-transcriptionally regulate gene expression and modulate cellular responses to stress, differentiation, proliferation, apoptosis, senescence, inflammation, and the immune response. It is an important mediator of survival during cellular stress, but when inappropriately expressed, can promote oncogenic transformation. Not surprisingly, the expression of HuR itself is tightly regulated at multiple transcriptional and post-transcriptional levels. Previous studies demonstrated the existence of two alternate HuR transcripts that differ in their 5’ untranslated regions and have markedly different translatabilities. These forms were also found to be reciprocally expressed following cellular stress in kidney proximal tubule cell lines, and the shorter, more readily translatable variant was shown to be regulated by Smad 1/5/8 pathway and bone morphogenetic protein-7 (BMP-7) signaling. In this study, the factors that promote transcription of the longer alternate form were identified. NF-κB was shown to be important for expression of the long HuR mRNA, as was a newly identified region with potential for binding the Sp/KLF families of transcription factors. -
Age-Dependent Myocardial Transcriptomic Changes in the Rat
Revista Română de Medicină de Laborator Vol. 22, Nr. 1, Martie, 2014 9 Research article DOI: 10.2478/rrlm-2014-0001 Age-dependent myocardial transcriptomic changes in the rat. Novel insights into atrial and ventricular arrhythmias pathogenesis Modificări transcriptomice dependente de vârstă în miocardul de șobolan. Noi aspecte referitoare la patogeneza aritmiilor atriale și ventriculare Alina Scridon1,2, Emmanuelle Fouilloux-Meugnier3, Emmanuelle Loizon3, Marcel Perian1, Sophie Rome3, Claude Julien2, Christian Barrès2, Philippe Chevalier2,4 1.Physiology Department, University of Medicine and Pharmacy of Tîrgu Mureș, 540139, Tîrgu Mureș, Romania 2. Unité de Neurocardiologie, EA4612, Université Lyon 1, F-69008, Lyon, France 3. Unité 1060 INSERM CarMen, Université Lyon 1, F-69008, Lyon, France 4. Hospices Civils de Lyon, Hôpital Louis Pradel, Service de Rythmologie, 69500, Bron, France Abstract Background: Aging is associated with significantly increased prevalence of cardiac arrhythmias, but tran- scriptional events that underlie this process remain to be established. To gain deeper insight into molecular mech- anisms of aging-related cardiac arrhythmias, we performed mRNA expression analysis comparing atrial and ven- tricular myocardium from Wistar-Kyoto (WKY) rats of different ages. Methods: Atrial and ventricular sampling was performed in 3 groups (n=4 each) of young (14-week-old), adult (25-week-old), and aging (47-week-old) WKY rats. mRNA expressions of 89 genes involved in cardiac arrhythmogenicity were investigated using TaqMan Low Density Array analysis. Results: Of the 89 studied genes, 40 and 64 genes presented steady atrial and ventricu- lar expressions, respectively. All genes differentially expressed within the atria of WKY rats were up-regulated with advancing age, mainly the genes encoding for various K+, Ca2+, Na+ channels, and type 6 collagen. -
Multifactorial Erβ and NOTCH1 Control of Squamous Differentiation and Cancer
Multifactorial ERβ and NOTCH1 control of squamous differentiation and cancer Yang Sui Brooks, … , Karine Lefort, G. Paolo Dotto J Clin Invest. 2014;124(5):2260-2276. https://doi.org/10.1172/JCI72718. Research Article Oncology Downmodulation or loss-of-function mutations of the gene encoding NOTCH1 are associated with dysfunctional squamous cell differentiation and development of squamous cell carcinoma (SCC) in skin and internal organs. While NOTCH1 receptor activation has been well characterized, little is known about how NOTCH1 gene transcription is regulated. Using bioinformatics and functional screening approaches, we identified several regulators of the NOTCH1 gene in keratinocytes, with the transcription factors DLX5 and EGR3 and estrogen receptor β (ERβ) directly controlling its expression in differentiation. DLX5 and ERG3 are required for RNA polymerase II (PolII) recruitment to the NOTCH1 locus, while ERβ controls NOTCH1 transcription through RNA PolII pause release. Expression of several identified NOTCH1 regulators, including ERβ, is frequently compromised in skin, head and neck, and lung SCCs and SCC-derived cell lines. Furthermore, a keratinocyte ERβ–dependent program of gene expression is subverted in SCCs from various body sites, and there are consistent differences in mutation and gene-expression signatures of head and neck and lung SCCs in female versus male patients. Experimentally increased ERβ expression or treatment with ERβ agonists inhibited proliferation of SCC cells and promoted NOTCH1 expression and squamous differentiation both in vitro and in mouse xenotransplants. Our data identify a link between transcriptional control of NOTCH1 expression and the estrogen response in keratinocytes, with implications for differentiation therapy of squamous cancer. Find the latest version: https://jci.me/72718/pdf Research article Multifactorial ERβ and NOTCH1 control of squamous differentiation and cancer Yang Sui Brooks,1,2 Paola Ostano,3 Seung-Hee Jo,1,2 Jun Dai,1,2 Spiro Getsios,4 Piotr Dziunycz,5 Günther F.L. -
A Core Transcriptional Network Composed of Pax2/8, Gata3 and Lim1 Regulates Key Players of Pro/Mesonephros Morphogenesis
Developmental Biology 382 (2013) 555–566 Contents lists available at ScienceDirect Developmental Biology journal homepage: www.elsevier.com/locate/developmentalbiology Genomes and Developmental Control A core transcriptional network composed of Pax2/8, Gata3 and Lim1 regulates key players of pro/mesonephros morphogenesis Sami Kamel Boualia a, Yaned Gaitan a, Mathieu Tremblay a, Richa Sharma a, Julie Cardin b, Artur Kania b, Maxime Bouchard a,n a Goodman Cancer Research Centre and Department of Biochemistry, McGill University, 1160 Pine Ave. W., Montreal, Quebec, Canada H3A 1A3 b Institut de Recherches Cliniques de Montréal, Montréal, Québec, Canada H2W 1R7, Department of Anatomy and Cell Biology, Division of Experimental Medicine, McGill University, Montréal, Quebec, Canada, H3A 2B2 and Faculté de médecine, Université de Montréal, Montréal, Quebec, Canada, H3C 3J7. article info abstract Article history: Translating the developmental program encoded in the genome into cellular and morphogenetic Received 23 January 2013 functions requires the deployment of elaborate gene regulatory networks (GRNs). GRNs are especially Received in revised form crucial at the onset of organ development where a few regulatory signals establish the different 27 July 2013 programs required for tissue organization. In the renal system primordium (the pro/mesonephros), Accepted 30 July 2013 important regulators have been identified but their hierarchical and regulatory organization is still Available online 3 August 2013 elusive. Here, we have performed a detailed analysis of the GRN underlying mouse pro/mesonephros Keywords: development. We find that a core regulatory subcircuit composed of Pax2/8, Gata3 and Lim1 turns on a Kidney development deeper layer of transcriptional regulators while activating effector genes responsible for cell signaling Transcription and tissue organization. -
Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
Podocyte Specific Knockdown of Klf15 in Podocin-Cre Klf15flox/Flox Mice Was Confirmed
SUPPLEMENTARY FIGURE LEGENDS Supplementary Figure 1: Podocyte specific knockdown of Klf15 in Podocin-Cre Klf15flox/flox mice was confirmed. (A) Primary glomerular epithelial cells (PGECs) were isolated from 12-week old Podocin-Cre Klf15flox/flox and Podocin-Cre Klf15+/+ mice and cultured at 37°C for 1 week. Real-time PCR was performed for Nephrin, Podocin, Synaptopodin, and Wt1 mRNA expression (n=6, ***p<0.001, Mann-Whitney test). (B) Real- time PCR was performed for Klf15 mRNA expression (n=6, *p<0.05, Mann-Whitney test). (C) Protein was also extracted and western blot analysis for Klf15 was performed. The representative blot of three independent experiments is shown in the top panel. The bottom panel shows the quantification of Klf15 by densitometry (n=3, *p<0.05, Mann-Whitney test). (D) Immunofluorescence staining for Klf15 and Wt1 was performed in 12-week old Podocin-Cre Klf15flox/flox and Podocin-Cre Klf15+/+ mice. Representative images from four mice in each group are shown in the left panel (X 20). Arrows show colocalization of Klf15 and Wt1. Arrowheads show a lack of colocalization. Asterisk demonstrates nonspecific Wt1 staining. “R” represents autofluorescence from RBCs. In the right panel, a total of 30 glomeruli were selected in each mouse and quantification of Klf15 staining in the podocytes was determined by the ratio of Klf15+ and Wt1+ cells to Wt1+ cells (n=6 mice, **p<0.01, unpaired t test). Supplementary Figure 2: LPS treated Podocin-Cre Klf15flox/flox mice exhibit a lack of recovery in proteinaceous casts and tubular dilatation after DEX administration. -
A Genome-Wide Analysis of the ERF Gene Family in Sorghum
A genome-wide analysis of the ERF gene family in sorghum H.W. Yan, L. Hong, Y.Q. Zhou, H.Y. Jiang, S.W. Zhu, J. Fan and B.J. Cheng Key Laboratory of Crop Biology of Anhui Province, Anhui Agricultural University, Hefei, China Corresponding author: B.J. Cheng E-mail: [email protected] Genet. Mol. Res. 12 (2): 2038-2055 (2013) Received November 9, 2012 Accepted March 8, 2013 Published May 13, 2013 DOI http://dx.doi.org/10.4238/2013.May.13.1 ABSTRACT. The ethylene response factor (ERF) family are members of the APETALA2 (AP2)/ERF transcription factor superfamily; they are known to play an important role in plant adaptation to biotic and abiotic stress. ERF genes have been studied in Arabidopsis, rice, grape, and maize; however, there are few reports of ERF genes in sorghum. We identified 105 sorghum ERF (SbERF) genes, which were categorized into 12 groups (A-1 to A-6 and B-1 to B-6) based on their sequence similarity, and this new method of classification for ERF genes was then further characterized. A comprehensive bioinformatic analysis of SbERF genes was performed using a sorghum genomic database, to analyze the phylogeny of SbERF genes, identify other conserved motifs apart from the AP2/ERF domain, map SbERF genes to the 10 sorghum chromosomes, and determine the tissue-specific expression patterns of SbERF genes. Gene clustering indicates that SbERF genes were generated by tandem duplications. Comparison of SbERF genes with maize ERF homologs suggests lateral gene transfer between monocot species. These results can contribute to our understanting of Genetics and Molecular Research 12 (2): 2038-2055 (2013) ©FUNPEC-RP www.funpecrp.com.br Analysis of the ERF gene family in sorghum 2039 the evolution of the ERF gene family. -
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