DNA Microarray Expression Profiling of a New T(8;13)
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The T-ALL Related Gene BCL11B Regulates the Initial Stages of Human T-Cell Differentiation
Leukemia (2017) 31, 2503–2514 © 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved 0887-6924/17 www.nature.com/leu ORIGINAL ARTICLE The T-ALL related gene BCL11B regulates the initial stages of human T-cell differentiation VL Ha1, A Luong1,FLi2, D Casero3, J Malvar1,YMKim1,4, R Bhatia5, GM Crooks3,6,7,8 and C Parekh1,4 The initial stages of T-cell differentiation are characterized by a progressive commitment to the T-cell lineage, a process that involves the loss of alternative (myelo-erythroid, NK, B) lineage potentials. Aberrant differentiation during these stages can result in T-cell acute lymphoblastic leukemia (T-ALL). However, the mechanisms regulating the initial stages of human T-cell differentiation are obscure. Through loss of function studies, we showed BCL11B, a transcription factor recurrently mutated T-ALL, is essential for T-lineage commitment, particularly the repression of NK and myeloid potentials, and the induction of T-lineage genes, during the initial stages of human T-cell differentiation. In gain of function studies, BCL11B inhibited growth of and induced a T-lineage transcriptional program in T-ALL cells. We found previously unknown differentiation stage-specific DNA binding of BCL11B at multiple T-lineage genes; target genes showed BCL11B-dependent expression, suggesting a transcriptional activator role for BCL11B at these genes. Transcriptional analyses revealed differences in the regulatory actions of BCL11B between human and murine thymopoiesis. Our studies show BCL11B is a key regulator of the initial stages of human T-cell differentiation and delineate the BCL11B transcriptional program, enabling the dissection of the underpinnings of normal T-cell differentiation and providing a resource for understanding dysregulations in T-ALL. -
MLL1 and DOT1L Cooperate with Meningioma-1 to Induce Acute Myeloid Leukemia
MLL1 and DOT1L cooperate with meningioma-1 to induce acute myeloid leukemia Simone S. Riedel, … , Tobias Neff, Kathrin M. Bernt J Clin Invest. 2016;126(4):1438-1450. https://doi.org/10.1172/JCI80825. Research Article Oncology Meningioma-1 (MN1) overexpression is frequently observed in patients with acute myeloid leukemia (AML) and is predictive of poor prognosis. In murine models, forced expression of MN1 in hematopoietic progenitors induces an aggressive myeloid leukemia that is strictly dependent on a defined gene expression program in the cell of origin, which includes the homeobox genes Hoxa9 and Meis1 as key components. Here, we have shown that this program is controlled by two histone methyltransferases, MLL1 and DOT1L, as deletion of either Mll1 or Dot1l in MN1-expressing cells abrogated the cell of origin–derived gene expression program, including the expression of Hoxa cluster genes. In murine models, genetic inactivation of either Mll1 or Dot1l impaired MN1-mediated leukemogenesis. We determined that HOXA9 and MEIS1 are coexpressed with MN1 in a subset of clinical MN1hi leukemia, and human MN1hi/HOXA9hi leukemias were sensitive to pharmacologic inhibition of DOT1L. Together, these data point to DOT1L as a potential therapeutic target in MN1hi AML. In addition, our findings suggest that epigenetic modulation of the interplay between an oncogenic lesion and its cooperating developmental program has therapeutic potential in AML. Find the latest version: https://jci.me/80825/pdf RESEARCH ARTICLE The Journal of Clinical Investigation MLL1 and DOT1L cooperate with meningioma-1 to induce acute myeloid leukemia Simone S. Riedel,1 Jessica N. Haladyna,1 Matthew Bezzant,1 Brett Stevens,2 Daniel A. -
Stemmacs™ Cebpb Mrna
StemMACS™ Cebpb mRNA human Order no. 130-104-377 Contents 1.3 Applications 1. Description ● Differentiation of pluripotent stem cells into adipose tissue. 1.1 Principle 1.2 Background information 2. Protocol: Reconstitution of lyophilizate 1.2 Applications ▲ RNA is susceptible to degradation by exogenous ribonucleases. 2. Protocol: Dissolving of lyophilizate Wear gloves, use RNase-free reagents, tubes, and pipette tips. 1. Dissolve StemMACS Cebpb mRNA in 200 µL of Double- 1. Description distilled Water. Vortex thoroughly. The final concentration will be 0.1 µg/µL. Components 20 µg StemMACS™ Cebpb mRNA encoding the transcription factor C/EBP-beta (CEBPB, 2. Briefly centrifuge to collect the content at the bottom of the LAP, CRP2, TCF5; Entrez Gene ID 1051). tube. 1 mL Double-distilled Water, RNase-free 3. Prepare aliquots and store at –70 °C to –80 °C. Do not subject Specifications In vitro transcribed, polyadenylated and aliquots to more than two freeze-thaw cycles. capped mRNA that has been modified with pseudouridine and 5-methyl-cytidine to reduce For satisfactory transfection results, use a protocol that is the innate antiviral response to single-stranded optimized for your specific cell type. StemMACS™ eGFP mRNA RNA. or StemMACS™ Nuclear eGFP mRNA allow easy evaluation of Formulation Lyophilized from a filtered (0.2 µm) solution. transfection efficiency and are recommended as positive controls. Storage Store the lyophilized product at –20 °C. The Refer to www.miltenyibiotec.com for all data sheets and protocols. expiration date is indicated on the label. After Miltenyi Biotec provides technical support worldwide. Visit reconstitution, the product can be stored at www.miltenyibiotec.com/local to find your nearest Miltenyi Biotec –70°C for up to 3 month. -
Temporal Mapping of CEBPA and CEBPB Binding
Downloaded from genome.cshlp.org on September 26, 2021 - Published by Cold Spring Harbor Laboratory Press Temporal mapping of CEBPA and CEBPB binding during liver regeneration reveals dynamic occupancy and specific regulatory codes for homeostatic and cell cycle gene batteries Janus Schou Jakobsen1,2,3,*, Johannes Waage1,2,3,4, Nicolas Rapin1,2,3,4, Hanne Cathrine Bisgaard5, Fin Stolze Larsen6, Bo Torben Porse1,2,3,* 1 The Finsen Laboratory, Rigshospitalet, Faculty of Health Sciences, University of Copenhagen, DK2200 Copenhagen, Denmark; 2 Biotech Research and Innovation Centre (BRIC), University of Copenhagen, DK-2200 Copenhagen, Denmark; 3 The Danish Stem Cell Centre (DanStem) Faculty of Health Sciences, University of Copenhagen, DK2200 Copenhagen Denmark; 4 The Bioinformatics Centre, University of Copenhagen, DK2200, Copenhagen, Denmark; 5 Department of Cellular and Molecular Medicine, Faculty of Health Sciences, University of Copenhagen, DK- 2100 Copenhagen, Denmark; 6 Department of Hepatology, Rigshospitalet, DK2200 Copenhagen, Denmark. JW: [email protected]; NR: [email protected]; HCB: [email protected]; FSL: [email protected] * Corresponding authors: BTP: [email protected]; JSJ: [email protected], The Finsen Laboratory, Ole Maaløesvej 5, Copenhagen Biocenter, University of Copenhagen, DK2200 Copenhagen, Denmark. Telephone: +45 3545 6023 Running title: Regulation of liver regeneration Keywords: Temporal ChIP-seq, dynamic binding, liver regeneration, C/EBPalpha, C/EBPbeta, transcriptional networks 1 Downloaded from genome.cshlp.org on September 26, 2021 - Published by Cold Spring Harbor Laboratory Press Abstract Dynamic shifts in transcription factor binding are central to the regulation of biological processes by allowing rapid changes in gene transcription. -
BAALC, the Human Member of a Novel Mammalian Neuroectoderm Gene Lineage, Is Implicated in Hematopoiesis and Acute Leukemia
BAALC, the human member of a novel mammalian neuroectoderm gene lineage, is implicated in hematopoiesis and acute leukemia Stephan M. Tanner*, Jamie L. Austin*, Gustavo Leone*†, Laura J. Rush*‡, Christoph Plass*, Kristiina Heinonen§, Krzysztof Mro´ zek†, Heinz Sill¶, Sakari Knuutilaʈ, Jonathan E. Kolitz**, Kellie J. Archer†, Michael A. Caligiuri*†, Clara D. Bloomfield†, and Albert de la Chapelle*†,†† *Human Cancer Genetics Program, Ohio State University, 646 Medical Research Facility, 420 West 12th Avenue, Columbus, OH 43210; ‡Department of Veterinary Biosciences, Ohio State University, Columbus, OH 43210; §Department of Clinical Genetics, Kuopio University Hospital, 70211 Kuopio, Finland; †Comprehensive Cancer Center, Ohio State University, Columbus, OH 43210; ¶Division of Hematology, Department of Medicine, Karl-Franzens University, 8010 Graz, Austria; ʈDepartment of Medical Genetics, Haartman Institute and Helsinki University Central Hospital, 00014 Helsinki, Finland; and **Don Monti Division of Medical Oncology͞Division of Hematology, North Shore University Hospital, New York University School of Medicine, Manhasset, NY 11030 Contributed by Albert de la Chapelle, October 3, 2001 The molecular basis of human leukemia is heterogeneous. Cyto- cDNA-based representational difference analysis (cDNA- genetic findings are increasingly associated with molecular abnor- RDA), a method that compares relative expression levels malities, some of which are being understood at the functional and allows previously unknown genes to be detected and level. -
BAALC-Associated Gene Expression Profiles Define IGFBP7 As a Novel
Leukemia (2010) 24, 1429–1436 & 2010 Macmillan Publishers Limited All rights reserved 0887-6924/10 www.nature.com/leu ORIGINAL ARTICLE BAALC-associated gene expression profiles define IGFBP7 as a novel molecular marker in acute leukemia S Heesch1,2, C Schlee1, M Neumann1, A Stroux3,AKu¨hnl1, S Schwartz1, T Haferlach4, N Goekbuget5, D Hoelzer5, E Thiel1, W-K Hofmann6 and CD Baldus1 1Charite´ Universita¨tsmedizin Berlin, Campus Benjamin Franklin, Medizinische Klinik III, Berlin, Germany; 2Freie Universita¨t Berlin, Institut fu¨r Biologie, Chemie und Pharmazie, Berlin, Germany; 3Charite´ Universita¨tsmedizin Berlin, Campus Benjamin Franklin, Institut fu¨r Biometrie und klinische Epidemiologie, Berlin, Germany; 4MLL Mu¨nchner Leuka¨mie Labor, Mu¨nchen, Germany; 5Johann Wolfgang Goethe-Universita¨t, Medizinische Klinik II, Frankfurt/Main, Germany and 6Universita¨t Heidelberg, Medizinische Fakulta¨t Mannheim, Medizinische Klinik III, Mannheim, Germany Over expression of BAALC (brain and acute leukemia, cyto- In a search for genes involved in leukemia, the human gene plasmic) predicts an inferior outcome in acute myeloid BAALC (brain and acute leukemia, cytoplasmic) located on leukemia (AML) and acute lymphoblastic leukemia patients. human chromosome 8q22.3 was identified.5 It was shown that To identify BAALC-associated genes that give insights into its functional role in chemotherapy resistance, gene expression over expression of BAALC was associated with an inferior signatures differentiating high from low BAALC expressers outcome and chemotherapy -
The Expression of Genes Contributing to Pancreatic Adenocarcinoma Progression Is Influenced by the Respective Environment – Sagini Et Al
The expression of genes contributing to pancreatic adenocarcinoma progression is influenced by the respective environment – Sagini et al Supplementary Figure 1: Target genes regulated by TGM2. Figure represents 24 genes regulated by TGM2, which were obtained from Ingenuity Pathway Analysis. As indicated, 9 genes (marked red) are down-regulated by TGM2. On the contrary, 15 genes (marked red) are up-regulated by TGM2. Supplementary Table 1: Functional annotations of genes from Suit2-007 cells growing in pancreatic environment Categoriesa Diseases or p-Valuec Predicted Activation Number of genesf Functions activationd Z-scoree Annotationb Cell movement Cell movement 1,56E-11 increased 2,199 LAMB3, CEACAM6, CCL20, AGR2, MUC1, CXCL1, LAMA3, LCN2, COL17A1, CXCL8, AIF1, MMP7, CEMIP, JUP, SOD2, S100A4, PDGFA, NDRG1, SGK1, IGFBP3, DDR1, IL1A, CDKN1A, NREP, SEMA3E SERPINA3, SDC4, ALPP, CX3CL1, NFKBIA, ANXA3, CDH1, CDCP1, CRYAB, TUBB2B, FOXQ1, SLPI, F3, GRINA, ITGA2, ARPIN/C15orf38- AP3S2, SPTLC1, IL10, TSC22D3, LAMC2, TCAF1, CDH3, MX1, LEP, ZC3H12A, PMP22, IL32, FAM83H, EFNA1, PATJ, CEBPB, SERPINA5, PTK6, EPHB6, JUND, TNFSF14, ERBB3, TNFRSF25, FCAR, CXCL16, HLA-A, CEACAM1, FAT1, AHR, CSF2RA, CLDN7, MAPK13, FERMT1, TCAF2, MST1R, CD99, PTP4A2, PHLDA1, DEFB1, RHOB, TNFSF15, CD44, CSF2, SERPINB5, TGM2, SRC, ITGA6, TNC, HNRNPA2B1, RHOD, SKI, KISS1, TACSTD2, GNAI2, CXCL2, NFKB2, TAGLN2, TNF, CD74, PTPRK, STAT3, ARHGAP21, VEGFA, MYH9, SAA1, F11R, PDCD4, IQGAP1, DCN, MAPK8IP3, STC1, ADAM15, LTBP2, HOOK1, CST3, EPHA1, TIMP2, LPAR2, CORO1A, CLDN3, MYO1C, -
BAALC Gene Expression in Adult B-Precursor Acute Lymphoblastic Leukemia: Impact on Prognosis Mona M
isord D ers od & lo T r B f a n o s l Taalab et al., J Blood Disorders Transf 2014, 5:7 f a u n s r Journal of i o u n o J DOI: 10.4172/2155-9864.1000220 ISSN: 2155-9864 Blood Disorders & Transfusion Research Article OpenOpen Access Access BAALC Gene Expression in Adult B-precursor Acute Lymphoblastic Leukemia: Impact on Prognosis Mona M. Taalab1, Iman M. Fawzy2*, Enas F. Goda3 and Eman M. Abdul Salam4 1Department of Clinical Hematology, Internal Medicine, Faculty of Medicine, Mansoura University, Mansoura, Egypt 2Department of Laboratory Medicine, Mansoura Fever Hospital, Ministry of Health, Mansoura, Egypt 3Departments of Clinical Pathology, Faculty of Medicine, Mansoura University, Mansoura, Egypt 4General Medicine, Faculty of Medicine, Azhar University, Cairo, Egypt Abstract Background: Adult B-precursor acute lymphoblastic leukemia (ALL) remains a major therapeutic challenge. Various molecular markers have extensively been investigated to improve its risk profile characterization, disease progression and resistance to treatment. Aim: To analyze the brain and acute leukemia, cytoplasmic (BAALC) gene expression and to assess its prognostic impact in B-precursor ALL. Subjects and Methods: BAALC mRNA expression was analyzed using real time PCR in 200 primary adult B-precursor ALL patients. Patients were grouped into 2 groups according to median BAALC expression. Results: High BAALC expression was associated with older age (P=0.037), higher white blood cell count (P =0.019), LDH concentration (p=0.007), higher incidence of positive CD34 (P =0.011) and positive BCR-ABL (P=0.011). High BAALC expression was associated with primary therapy resistance in the overall cohort (P = 0.001), in BCR-ABL− and BCR-ABL+ subgroups (P = 0.039, 0.003 respectively). -
Gene Regulatory Networks Underlying Human Microglia Maturation 2 3 Claudia Z
bioRxiv preprint doi: https://doi.org/10.1101/2021.06.02.446636; this version posted June 2, 2021. 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 Gene regulatory networks underlying human microglia maturation 2 3 Claudia Z. Han1*, Rick Z. Li1*, Emily Hansen2,3, Hunter R. Bennett1 , Olivier Poirion4, Justin 4 Buchanan1,4, Jean F. Challacombe1, Bethany R. Fixsen1, Samantha Trescott2,3, Johannes C.M. 5 Schlachetzki1, Sebastian Preissl1,4, Allen Wang1,4, Carolyn O’Connor5, Anna S. Warden1,2,3, 6 Shreya Shriram2,3 , Roy Kim2,3, Celina T. Nguyen1,2,3, Danielle M. Schafer2,3, Gabriela Ramirez2,3, 7 Samuel A. Anavim2,3, Avalon Johnson2,3, Eniko Sajti2, Mihir Gupta6, Michael L. Levy6, Sharona 8 Ben-Haim6, David D. Gonda6, Louise Laurent7, Christopher K. Glass1, Nicole G. Coufal2,3,5 9 10 1 Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, 11 CA 92093, USA. 12 2 Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093 13 3 Sanford Consortium for Regenerative Medicine 14 4 Center for Epigenomics, University of California, San Diego, La Jolla, CA 92093 15 5 Salk Institute for Biological Studies, La Jolla, CA 92037 16 6 Department of Neurosurgery, University of California, San Diego-Rady Children's Hospital, San 17 Diego, CA 92123, USA 18 7 Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, 19 San Diego, CA 92123 20 *These authors contributed equally to this work. -
Sox2 Promotes Malignancy in Glioblastoma by Regulating
Volume 16 Number 3 March 2014 pp. 193–206.e25 193 www.neoplasia.com Artem D. Berezovsky*, Laila M. Poisson†, Sox2 Promotes Malignancy in ‡ ‡ David Cherba , Craig P. Webb , Glioblastoma by Regulating Andrea D. Transou*, Nancy W. Lemke*, Xin Hong*, Laura A. Hasselbach*, Susan M. Irtenkauf*, Plasticity and Astrocytic Tom Mikkelsen*,§ and Ana C. deCarvalho* Differentiation1,2 *Department of Neurosurgery, Henry Ford Hospital, Detroit, MI; †Department of Public Health Sciences, Henry Ford Hospital, Detroit, MI; ‡Program of Translational Medicine, Van Andel Research Institute, Grand Rapids, MI; §Department of Neurology, Henry Ford Hospital, Detroit, MI Abstract The high-mobility group–box transcription factor sex-determining region Y–box 2 (Sox2) is essential for the maintenance of stem cells from early development to adult tissues. Sox2 can reprogram differentiated cells into pluripotent cells in concert with other factors and is overexpressed in various cancers. In glioblastoma (GBM), Sox2 is a marker of cancer stemlike cells (CSCs) in neurosphere cultures and is associated with the proneural molecular subtype. Here, we report that Sox2 expression pattern in GBM tumors and patient-derived mouse xenografts is not restricted to a small percentage of cells and is coexpressed with various lineage markers, suggesting that its expression extends beyond CSCs to encompass more differentiated neoplastic cells across molecular subtypes. Employing a CSC derived from a patient with GBM and isogenic differentiated cell model, we show that Sox2 knockdown in the differentiated state abolished dedifferentiation and acquisition of CSC phenotype. Furthermore, Sox2 deficiency specifically impaired the astrocytic component of a biphasic gliosarcoma xenograft model while allowing the formation of tumors with sarcomatous phenotype. -
STAT3 Promotes Melanoma Metastasis by CEBP-Induced Repression of the MITF Pigmentation Pathway
bioRxiv preprint doi: https://doi.org/10.1101/422832; this version posted September 20, 2018. 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. Research Article STAT3 promotes melanoma metastasis by CEBP-induced repression of the MITF pigmentation pathway Alexander Swoboda2,3#, Robert Soukup1#, Katharina Kinslechner1, Bettina Wingelhofer2,3, David Schörghofer1, Christina Sternberg4, Ha T. T. Pham2,3, Maria Vallianou1, Jaqueline Horvath2,5, Dagmar Stoiber2,5, Lukas Kenner2,6,7,8, Lionel Larue9, Valeria Poli10, Friedrich Beermann11, Takashi Yokota12, Stefan Kubicek13, Thomas Krausgruber13, André F. Rendeiro13, Christoph Bock13,14,15 Rainer Zenz16, Boris Kovacic1, Fritz Aberger4, Markus Hengstschläger1, Peter Petzelbauer17, Mario Mikula1* and Richard Moriggl2,3,18* 1Center for Pathobiology and Genetics, Institute of Medical Genetics, Medical University of Vienna, Vienna, Austria 2Ludwig Boltzmann Institute for Cancer Research, Vienna, Austria 3Institute of Animal Breeding and Genetics, University of Veterinary Medicine, Vienna, Austria 4Department of Biosciences, Cancer Cluster Salzburg, University of Salzburg, Austria 5Institute of Pharmacology, Center of Physiology and Pharmacology, Medical University of Vienna, Vienna, Austria 6Institute of Clinical Pathology, Medical University of Vienna, Vienna, Austria 7Unit of Pathology of Laboratory Animals, University of Veterinary Medicine, Vienna, Austria 8CBmed Corelab 2 9Institute Curie, -
X Congress of the Italian Society of Experimental Hematology
Owned & published by the Ferrata Storti Foundation, Pavia, Italy Editor-in-Chief Mario Cazzola (Pavia) Associate Editors Clara Camaschella (Milan), Elias Campo (Barcelona), Jan Cools (Leuven), Elihu Estey (Seattle), Randy Gascoyne (Van- couver), Michael Laffan (London), Pieter H. Reitsma (Leiden), Jesus F. San Miguel (Salamanca), Birgit Schlegelberger (Hannover), Freda K. Stevenson (Southampton), Matthias Theobald (Utrecht), Ivo P. Touw (Rotterdam) Assistant Editors Luca Malcovati (Deputy Editor), Gaetano Bergamaschi (CME), Anne Freckleton (English Editor), Rosangela Invernizzi (CME), Cristiana Pascutto (Statistical Consultant), Rachel Stenner (English Editor), Vittorio Rosti (CME) Editorial Board Walter Ageno (Varese), Maurizio Aricò (Firenze), Paolo Arosio (Brescia), Yesim Aydinok (Izmir), Giuseppe Basso (Pado- va), Sigbjørn Berentsen (Haugesund), Erik Berntorp (Malmö), Jackie Boultwood (Oxford), David Bowen (Leeds), Moni- ka Bruggemann (Kiel), Oystein Bruserud (Bergen), Michele Cavo (Bologna), Francisco Cervantes (Barcelona), Oliver Cor- nely (Köln), Javier Corral (Murcia), Francesco Dazzi (London), Marcos De Lima (Houston), Valerio De Stefano (Roma), Ruud Delwel (Rotterdam), Meletios A. Dimopoulos (Athens), Inderjeet Dokal (London), Hervet Dombret (Paris), Johannes Drach (Vienna), Peter Dreger (Hamburg), Martin Dreyling (München), Sabine Eichinger (Vienna), Emmanuel Favaloro (Westmead), Augusto Federici (Milano), Jean Feuillard (Limoges), Letizia Foroni (London), Jonathan W. Fried- berg (Rochester), Dave Gailani (Nashville), Renzo