Complex Formation and Function of Estrogen Receptor a in Transcription Requires RIP140
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Table 2. Functional Classification of Genes Differentially Regulated After HOXB4 Inactivation in HSC/Hpcs
Table 2. Functional classification of genes differentially regulated after HOXB4 inactivation in HSC/HPCs Symbol Gene description Fold-change (mean ± SD) Signal transduction Adam8 A disintegrin and metalloprotease domain 8 1.91 ± 0.51 Arl4 ADP-ribosylation factor-like 4 - 1.80 ± 0.40 Dusp6 Dual specificity phosphatase 6 (Mkp3) - 2.30 ± 0.46 Ksr1 Kinase suppressor of ras 1 1.92 ± 0.42 Lyst Lysosomal trafficking regulator 1.89 ± 0.34 Mapk1ip1 Mitogen activated protein kinase 1 interacting protein 1 1.84 ± 0.22 Narf* Nuclear prelamin A recognition factor 2.12 ± 0.04 Plekha2 Pleckstrin homology domain-containing. family A. (phosphoinosite 2.15 ± 0.22 binding specific) member 2 Ptp4a2 Protein tyrosine phosphatase 4a2 - 2.04 ± 0.94 Rasa2* RAS p21 activator protein 2 - 2.80 ± 0.13 Rassf4 RAS association (RalGDS/AF-6) domain family 4 3.44 ± 2.56 Rgs18 Regulator of G-protein signaling - 1.93 ± 0.57 Rrad Ras-related associated with diabetes 1.81 ± 0.73 Sh3kbp1 SH3 domain kinase bindings protein 1 - 2.19 ± 0.53 Senp2 SUMO/sentrin specific protease 2 - 1.97 ± 0.49 Socs2 Suppressor of cytokine signaling 2 - 2.82 ± 0.85 Socs5 Suppressor of cytokine signaling 5 2.13 ± 0.08 Socs6 Suppressor of cytokine signaling 6 - 2.18 ± 0.38 Spry1 Sprouty 1 - 2.69 ± 0.19 Sos1 Son of sevenless homolog 1 (Drosophila) 2.16 ± 0.71 Ywhag 3-monooxygenase/tryptophan 5- monooxygenase activation protein. - 2.37 ± 1.42 gamma polypeptide Zfyve21 Zinc finger. FYVE domain containing 21 1.93 ± 0.57 Ligands and receptors Bambi BMP and activin membrane-bound inhibitor - 2.94 ± 0.62 -
PAX5 Expression in Acute Leukemias: Higher B-Lineage Specificity Than Cd79a and Selective Association with T(8;21)-Acute Myelogenous Leukemia
[CANCER RESEARCH 64, 7399–7404, October 15, 2004] PAX5 Expression in Acute Leukemias: Higher B-Lineage Specificity Than CD79a and Selective Association with t(8;21)-Acute Myelogenous Leukemia Enrico Tiacci,1 Stefano Pileri,2 Annette Orleth,1 Roberta Pacini,1 Alessia Tabarrini,1 Federica Frenguelli,1 Arcangelo Liso,3 Daniela Diverio,4 Francesco Lo-Coco,5 and Brunangelo Falini1 1Institutes of Hematology and Internal Medicine, University of Perugia, Perugia, Italy; 2Unit of Hematopathology, University of Bologne, Bologne, Italy; 3Section of Hematology, University of Foggia, Foggia, Italy; 4Department of Cellular Biotechnologies and Hematology, University La Sapienza of Rome, Rome, Italy; and 5Department of Biopathology, University Tor Vergata of Rome, Rome, Italy ABSTRACT (13, 16). PAX5 expression also occurs in the adult testis and in the mesencephalon and spinal cord during embryogenesis (17), suggesting an The transcription factor PAX5 plays a key role in the commitment of important role in the development of these tissues. hematopoietic precursors to the B-cell lineage, but its expression in acute Rearrangement of the PAX5 gene through reciprocal chromosomal leukemias has not been thoroughly investigated. Hereby, we analyzed routine biopsies from 360 acute leukemias of lymphoid (ALLs) and mye- translocations has been described in different types of B-cell malig- loid (AMLs) origin with a specific anti-PAX5 monoclonal antibody. Blasts nancies (18–23), and, more recently, PAX5 has also been shown to be from 150 B-cell ALLs showed strong PAX5 nuclear expression, paralleling targeted by aberrant hypermutation in Ͼ50% of diffuse large B-cell that of CD79a in the cytoplasm. Conversely, PAX5 was not detected in 50 lymphomas (24). -
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. -
GATA3 As an Adjunct Prognostic Factor in Breast Cancer Patients with Less Aggressive Disease: a Study with a Review of the Literature
diagnostics Article GATA3 as an Adjunct Prognostic Factor in Breast Cancer Patients with Less Aggressive Disease: A Study with a Review of the Literature Patrizia Querzoli 1, Massimo Pedriali 1 , Rosa Rinaldi 2 , Paola Secchiero 3, Paolo Giorgi Rossi 4 and Elisabetta Kuhn 5,6,* 1 Section of Anatomic Pathology, Department of Morphology, Surgery and Experimental Medicine, University of Ferrara, 44124 Ferrara, Italy; [email protected] (P.Q.); [email protected] (M.P.) 2 Section of Anatomic Pathology, ASST Mantova, Ospedale Carlo Poma, 46100 Mantova, Italy; [email protected] 3 Surgery and Experimental Medicine and Interdepartmental Center of Technology of Advanced Therapies (LTTA), Department of Morphology, University of Ferrara, 44121 Ferrara, Italy; [email protected] 4 Epidemiology Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, 42122 Reggio Emilia, Italy; [email protected] 5 Division of Pathology, Fondazione IRCCS Ca’ Granda, Ospedale Maggiore Policlinico, 20122 Milano, Italy 6 Department of Biomedical, Surgical, and Dental Sciences, University of Milan, 20122 Milano, Italy * Correspondence: [email protected]; Tel.: +39-02-5032-0564; Fax: +39-02-5503-2860 Abstract: Background: GATA binding protein 3 (GATA3) expression is positively correlated with Citation: Querzoli, P.; Pedriali, M.; estrogen receptor (ER) expression, but its prognostic value as an independent factor remains unclear. Rinaldi, R.; Secchiero, P.; Rossi, P.G.; Thus, we undertook the current study to evaluate the expression of GATA3 and its prognostic value Kuhn, E. GATA3 as an Adjunct in a large series of breast carcinomas (BCs) with long-term follow-up. Methods: A total of 702 Prognostic Factor in Breast Cancer consecutive primary invasive BCs resected between 1989 and 1993 in our institution were arranged Patients with Less Aggressive in tissue microarrays, immunostained for ER, progesterone receptor (PR), ki-67, HER2, p53, and Disease: A Study with a Review of GATA3, and scored. -
Cisplatin and Phenanthriplatin Modulate Long-Noncoding
www.nature.com/scientificreports OPEN Cisplatin and phenanthriplatin modulate long‑noncoding RNA expression in A549 and IMR90 cells revealing regulation of microRNAs, Wnt/β‑catenin and TGF‑β signaling Jerry D. Monroe1,2, Satya A. Moolani2,3, Elvin N. Irihamye2,4, Katheryn E. Lett1, Michael D. Hebert1, Yann Gibert1* & Michael E. Smith2* The monofunctional platinum(II) complex, phenanthriplatin, acts by blocking transcription, but its regulatory efects on long‑noncoding RNAs (lncRNAs) have not been elucidated relative to traditional platinum‑based chemotherapeutics, e.g., cisplatin. Here, we treated A549 non‑small cell lung cancer and IMR90 lung fbroblast cells for 24 h with either cisplatin, phenanthriplatin or a solvent control, and then performed microarray analysis to identify regulated lncRNAs. RNA22 v2 microRNA software was subsequently used to identify microRNAs (miRNAs) that might be suppressed by the most regulated lncRNAs. We found that miR‑25‑5p, ‑30a‑3p, ‑138‑5p, ‑149‑3p, ‑185‑5p, ‑378j, ‑608, ‑650, ‑708‑5p, ‑1253, ‑1254, ‑4458, and ‑4516, were predicted to target the cisplatin upregulated lncRNAs, IMMP2L‑1, CBR3‑1 and ATAD2B‑5, and the phenanthriplatin downregulated lncRNAs, AGO2‑1, COX7A1‑2 and SLC26A3‑1. Then, we used qRT‑PCR to measure the expression of miR‑25‑5p, ‑378j, ‑4516 (A549) and miR‑149‑3p, ‑608, and ‑4458 (IMR90) to identify distinct signaling efects associated with cisplatin and phenanthriplatin. The signaling pathways associated with these miRNAs suggests that phenanthriplatin may modulate Wnt/β‑catenin and TGF‑β signaling through the MAPK/ ERK and PTEN/AKT pathways diferently than cisplatin. Further, as some of these miRNAs may be subject to dissimilar lncRNA targeting in A549 and IMR90 cells, the monofunctional complex may not cause toxicity in normal lung compared to cancer cells by acting through distinct lncRNA and miRNA networks. -
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. -
Further Delineation of Chromosomal Consensus Regions in Primary
Leukemia (2007) 21, 2463–2469 & 2007 Nature Publishing Group All rights reserved 0887-6924/07 $30.00 www.nature.com/leu ORIGINAL ARTICLE Further delineation of chromosomal consensus regions in primary mediastinal B-cell lymphomas: an analysis of 37 tumor samples using high-resolution genomic profiling (array-CGH) S Wessendorf1,6, TFE Barth2,6, A Viardot1, A Mueller3, HA Kestler3, H Kohlhammer1, P Lichter4, M Bentz5,HDo¨hner1,PMo¨ller2 and C Schwaenen1 1Klinik fu¨r Innere Medizin III, Zentrum fu¨r Innere Medizin der Universita¨t Ulm, Ulm, Germany; 2Institut fu¨r Pathologie, Universita¨t Ulm, Ulm, Germany; 3Forschungsdozentur Bioinformatik, Universita¨t Ulm, Ulm, Germany; 4Abt. Molekulare Genetik, Deutsches Krebsforschungszentrum, Heidelberg, Germany and 5Sta¨dtisches Klinikum Karlsruhe, Karlsruhe, Germany Primary mediastinal B-cell lymphoma (PMBL) is an aggressive the expression of BSAP, BOB1, OCT2, PAX5 and PU1 was extranodal B-cell non-Hodgkin’s lymphoma with specific clin- added to the spectrum typical of PMBL features.9 ical, histopathological and genomic features. To characterize Genetically, a pattern of highly recurrent karyotype alterations further the genotype of PMBL, we analyzed 37 tumor samples and PMBL cell lines Med-B1 and Karpas1106P using array- with the hallmark of chromosomal gains of the subtelomeric based comparative genomic hybridization (matrix- or array- region of chromosome 9 supported the concept of a unique CGH) to a 2.8k genomic microarray. Due to a higher genomic disease entity that distinguishes PMBL from other B-cell non- resolution, we identified altered chromosomal regions in much Hodgkin’s lymphomas.10,11 Together with less specific gains on higher frequencies compared with standard CGH: for example, 2p15 and frequent mutations of the SOCS1 gene, a notable þ 9p24 (68%), þ 2p15 (51%), þ 7q22 (32%), þ 9q34 (32%), genomic similarity to classical Hodgkin’s lymphoma was þ 11q23 (18%), þ 12q (30%) and þ 18q21 (24%). -
In Acute Myeloid Leukemia
7283 Original Article Comprehensively analyze the expression and prognostic role for ten-eleven translocations (TETs) in acute myeloid leukemia Yan Huang1#, Jie Wei1#, Xunjun Huang1, Weijie Zhou1, Yuling Xu2, Dong-Hong Deng2, Peng Cheng2 1Department of Hematology and Rheumatology, People’s Hospital of Baise, Baise, China; 2Department of Hematology, the First Affiliated Hospital of Guangxi Medical University, Nanning, China Contributions: (I) Conception and design: J Wei, Y Huang; (II) Administrative support: X Huang, Y Xu; (III) Provision of study materials or patients: W Zhou; (IV) Collection and assembly of data: J Wei, Y Huang; (V) Data analysis and interpretation: DH Deng, P Cheng; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors. #These authors contributed equally to this work. Correspondence to: Yuling Xu. Department of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China. Email: [email protected]; Dong-Hong Deng. Department of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China. Email: [email protected]; Peng Cheng. Department of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530000, China. Email: [email protected]. Background: The ten-eleven translocation (TET) family oxidize 5-methylcytosines (5mCs) and promote the locus-specific reversal of DNA. The role of TETs in acute myeloid leukemia (AML) is mostly unknown. Methods: TETs mRNA expression levels were analyzed via Gene Expression Profiling Interactive Analysis (GEPIA). The association TETs expression levels and methylation with prognosis by UALCAN GenomicScape, and METHsurv. We analyzed TETs’ aberration types, located mutations, and structures via cBioPortal. GeneMANIA performed the functional network. Gene ontology (GO) enrichment was analyzed via LinkedOmics. -
HES1, Two Programs: Promoting the Quiescence and Proliferation of Adult Neural Stem Cells
Downloaded from genesdev.cshlp.org on September 30, 2021 - Published by Cold Spring Harbor Laboratory Press OUTLOOK HES1, two programs: promoting the quiescence and proliferation of adult neural stem cells Lachlan Harris and François Guillemot The Francis Crick Institute, London NW1 1AT, United Kingdom Adult neural stem cells are mostly quiescent and only bition of this pathway drives neuronal differentiation rarely enter the cell cycle to self-renew and generate neu- (Imayoshi et al. 2013). Specifically, they had determined ronal or glial progenies. The Notch signaling pathway is that Notch signaling induces proliferation via activating essential for both the quiescent and proliferative states the expression of the transcriptional repressor HES1, of neural stem cells. However, these are mutually exclu- whose protein levels oscillate due to autorepression (Hir- sive cellular states; thus, how Notch promotes both of ata et al. 2002). The oscillation of the HES1 protein then these programs within adult neural stem cells has re- induces the out of phase oscillation of its target gene, mained unclear. In this issue of Genes & Development, Achaete–scute homolog 1 (Ascl1), which in turn activates Sueda and colleagues (pp. 511–523) use an extensive reper- the transcription of positive regulators of cell cycle pro- toire of mouse genetic tools and techniques to demon- gression. Conversely, inhibition of the Notch pathway strate that it is the levels and dynamic expression of the down-regulates HES1 below a critical level, resulting in Notch transcriptional effector Hairy and Enhancer of sustained, rather than oscillatory, ASCL1 expression and Split 1 that enables this dual role. the induction of neuronal genes (Imayoshi et al. -
Genomic Profiling of Adult Acute Lymphoblastic Leukemia by Single
SUPPLEMENTARY APPENDIX Genomic profiling of adult acute lymphoblastic leukemia by single nucleotide polymorphism oligonucleotide microarray and comparison to pediatric acute lymphoblastic leukemia Ryoko Okamoto,1 Seishi Ogawa,2 Daniel Nowak,1 Norihiko Kawamata,1 Tadayuki Akagi,1,3 Motohiro Kato,2 Masashi Sanada,2 Tamara Weiss,4 Claudia Haferlach,4 Martin Dugas,5 Christian Ruckert,5 Torsten Haferlach,4 and H. Phillip Koeffler1,6 1Division of Hematology and Oncology, Cedars-Sinai Medical Center, UCLA School of Medicine, Los Angeles, CA, USA; 2Cancer Genomics Project, Graduate School of Medicine, University of Tokyo, Tokyo, Japan; 3Department of Stem Cell Biology, Graduate School of Medical Science, Kanazawa University 4MLL Munich Leukemia Laboratory, Munich, Germany; 5Department of Medical Informatics and Biomathematics, University of Münster, Münster, Germany; 6Cancer Science Institute of Singapore, National University of Singapore, Singapore Citation: Okamoto R, Ogawa S, Nowak D, Kawamata N, Akagi T, Kato M, Sanada M, Weiss T, Haferlach C, Dugas M, Ruckert C, Haferlach T, and Koeffler HP. Genomic profiling of adult acute lymphoblastic leukemia by single nucleotide polymorphism oligonu- cleotide microarray and comparison to pediatric acute lymphoblastic leukemia. Haematologica 2010;95(9):1481-1488. doi:10.3324/haematol.2009.011114 Online Supplementary Data ed by PCR of genomic DNA and subsequent direct sequencing of SNP in a region of CNN-LOH in an ALL sample versus the corresponding Design and Methods matched normal sample (Online Supplementary -
Homeobox Gene Expression Profile in Human Hematopoietic Multipotent
Leukemia (2003) 17, 1157–1163 & 2003 Nature Publishing Group All rights reserved 0887-6924/03 $25.00 www.nature.com/leu Homeobox gene expression profile in human hematopoietic multipotent stem cells and T-cell progenitors: implications for human T-cell development T Taghon1, K Thys1, M De Smedt1, F Weerkamp2, FJT Staal2, J Plum1 and G Leclercq1 1Department of Clinical Chemistry, Microbiology and Immunology, Ghent University Hospital, Ghent, Belgium; and 2Department of Immunology, Erasmus Medical Center, Rotterdam, The Netherlands Class I homeobox (HOX) genes comprise a large family of implicated in this transformation proces.14 The HOX-C locus transcription factors that have been implicated in normal and has been primarily implicated in lymphomas.15 malignant hematopoiesis. However, data on their expression or function during T-cell development is limited. Using degener- Hematopoietic cells are derived from stem cells that reside in ated RT-PCR and Affymetrix microarray analysis, we analyzed fetal liver (FL) in the embryo and in the adult bone marrow the expression pattern of this gene family in human multipotent (ABM), which have the unique ability to self-renew and thereby stem cells from fetal liver (FL) and adult bone marrow (ABM), provide a life-long supply of blood cells. T lymphocytes are a and in T-cell progenitors from child thymus. We show that FL specific type of hematopoietic cells that play a major role in the and ABM stem cells are similar in terms of HOX gene immune system. They develop through a well-defined order of expression, but significant differences were observed between differentiation steps in the thymus.16 Several transcription these two cell types and child thymocytes. -
Nursing Genetic Research: New Insights Linking Breast Cancer Genetics and Bone Density
healthcare Concept Paper Nursing Genetic Research: New Insights Linking Breast Cancer Genetics and Bone Density 1, 2, 3, Antonio Sanchez-Fernandez y, Raúl Roncero-Martin y, Jose M. Moran * , Jesus Lavado-García 2 , Luis Manuel Puerto-Parejo 2 , Fidel Lopez-Espuela 2, Ignacio Aliaga 3 and María Pedrera-Canal 2 1 Servicio de Tocoginecología, Complejo Hospitalario de Cáceres, 10004 Cáceres, Spain; [email protected] 2 Metabolic Bone Diseases Research Group, Nursing Department, Nursing and Occupational Therapy College, University of Extremadura, Avd. Universidad s/n, 10003 Cáceres, Spain; [email protected] (R.R.-M.); [email protected] (J.L.-G.); [email protected] (L.M.P.-P.); fi[email protected] (F.L.-E.); [email protected] (M.P.-C.) 3 Departamento de Estomatología II, Universidad Complutense de Madrid, 28040 Madrid, Spain; [email protected] * Correspondence: [email protected]; Tel.: +34-927-257450 Both authors contributed equally to this work. y Received: 25 April 2020; Accepted: 11 June 2020; Published: 15 June 2020 Abstract: Nursing research is expected to provide options for the primary prevention of disease and health promotion, regardless of pathology or disease. Nurses have the skills to develop and lead research that addresses the relationship between genetic factors and health. Increasing genetic knowledge and research capacity through interdisciplinary cooperation as well as the development of research resources, will accelerate the rate at which nurses contribute to the knowledge about genetics and health. There are currently different fields in which knowledge can be expanded by research developed from the nursing field. Here, we present an emerging field of research in which it is hypothesized that genetics may affect bone metabolism.