Analysis of Estrogen-Regulated Genes in Mouse Uterus Using Cdna Microarray and Laser Capture Microdissection
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Prox1regulates the Subtype-Specific Development of Caudal Ganglionic
The Journal of Neuroscience, September 16, 2015 • 35(37):12869–12889 • 12869 Development/Plasticity/Repair Prox1 Regulates the Subtype-Specific Development of Caudal Ganglionic Eminence-Derived GABAergic Cortical Interneurons X Goichi Miyoshi,1 Allison Young,1 Timothy Petros,1 Theofanis Karayannis,1 Melissa McKenzie Chang,1 Alfonso Lavado,2 Tomohiko Iwano,3 Miho Nakajima,4 Hiroki Taniguchi,5 Z. Josh Huang,5 XNathaniel Heintz,4 Guillermo Oliver,2 Fumio Matsuzaki,3 Robert P. Machold,1 and Gord Fishell1 1Department of Neuroscience and Physiology, NYU Neuroscience Institute, Smilow Research Center, New York University School of Medicine, New York, New York 10016, 2Department of Genetics & Tumor Cell Biology, St. Jude Children’s Research Hospital, Memphis, Tennessee 38105, 3Laboratory for Cell Asymmetry, RIKEN Center for Developmental Biology, Kobe 650-0047, Japan, 4Laboratory of Molecular Biology, Howard Hughes Medical Institute, GENSAT Project, The Rockefeller University, New York, New York 10065, and 5Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724 Neurogliaform (RELNϩ) and bipolar (VIPϩ) GABAergic interneurons of the mammalian cerebral cortex provide critical inhibition locally within the superficial layers. While these subtypes are known to originate from the embryonic caudal ganglionic eminence (CGE), the specific genetic programs that direct their positioning, maturation, and integration into the cortical network have not been eluci- dated. Here, we report that in mice expression of the transcription factor Prox1 is selectively maintained in postmitotic CGE-derived cortical interneuron precursors and that loss of Prox1 impairs the integration of these cells into superficial layers. Moreover, Prox1 differentially regulates the postnatal maturation of each specific subtype originating from the CGE (RELN, Calb2/VIP, and VIP). -
Clinical Utility of Recently Identified Diagnostic, Prognostic, And
Modern Pathology (2017) 30, 1338–1366 1338 © 2017 USCAP, Inc All rights reserved 0893-3952/17 $32.00 Clinical utility of recently identified diagnostic, prognostic, and predictive molecular biomarkers in mature B-cell neoplasms Arantza Onaindia1, L Jeffrey Medeiros2 and Keyur P Patel2 1Instituto de Investigacion Marques de Valdecilla (IDIVAL)/Hospital Universitario Marques de Valdecilla, Santander, Spain and 2Department of Hematopathology, MD Anderson Cancer Center, Houston, TX, USA Genomic profiling studies have provided new insights into the pathogenesis of mature B-cell neoplasms and have identified markers with prognostic impact. Recurrent mutations in tumor-suppressor genes (TP53, BIRC3, ATM), and common signaling pathways, such as the B-cell receptor (CD79A, CD79B, CARD11, TCF3, ID3), Toll- like receptor (MYD88), NOTCH (NOTCH1/2), nuclear factor-κB, and mitogen activated kinase signaling, have been identified in B-cell neoplasms. Chronic lymphocytic leukemia/small lymphocytic lymphoma, diffuse large B-cell lymphoma, follicular lymphoma, mantle cell lymphoma, Burkitt lymphoma, Waldenström macroglobulinemia, hairy cell leukemia, and marginal zone lymphomas of splenic, nodal, and extranodal types represent examples of B-cell neoplasms in which novel molecular biomarkers have been discovered in recent years. In addition, ongoing retrospective correlative and prospective outcome studies have resulted in an enhanced understanding of the clinical utility of novel biomarkers. This progress is reflected in the 2016 update of the World Health Organization classification of lymphoid neoplasms, which lists as many as 41 mature B-cell neoplasms (including provisional categories). Consequently, molecular genetic studies are increasingly being applied for the clinical workup of many of these neoplasms. In this review, we focus on the diagnostic, prognostic, and/or therapeutic utility of molecular biomarkers in mature B-cell neoplasms. -
Genome-Wide DNA Methylation Analysis of KRAS Mutant Cell Lines Ben Yi Tew1,5, Joel K
www.nature.com/scientificreports OPEN Genome-wide DNA methylation analysis of KRAS mutant cell lines Ben Yi Tew1,5, Joel K. Durand2,5, Kirsten L. Bryant2, Tikvah K. Hayes2, Sen Peng3, Nhan L. Tran4, Gerald C. Gooden1, David N. Buckley1, Channing J. Der2, Albert S. Baldwin2 ✉ & Bodour Salhia1 ✉ Oncogenic RAS mutations are associated with DNA methylation changes that alter gene expression to drive cancer. Recent studies suggest that DNA methylation changes may be stochastic in nature, while other groups propose distinct signaling pathways responsible for aberrant methylation. Better understanding of DNA methylation events associated with oncogenic KRAS expression could enhance therapeutic approaches. Here we analyzed the basal CpG methylation of 11 KRAS-mutant and dependent pancreatic cancer cell lines and observed strikingly similar methylation patterns. KRAS knockdown resulted in unique methylation changes with limited overlap between each cell line. In KRAS-mutant Pa16C pancreatic cancer cells, while KRAS knockdown resulted in over 8,000 diferentially methylated (DM) CpGs, treatment with the ERK1/2-selective inhibitor SCH772984 showed less than 40 DM CpGs, suggesting that ERK is not a broadly active driver of KRAS-associated DNA methylation. KRAS G12V overexpression in an isogenic lung model reveals >50,600 DM CpGs compared to non-transformed controls. In lung and pancreatic cells, gene ontology analyses of DM promoters show an enrichment for genes involved in diferentiation and development. Taken all together, KRAS-mediated DNA methylation are stochastic and independent of canonical downstream efector signaling. These epigenetically altered genes associated with KRAS expression could represent potential therapeutic targets in KRAS-driven cancer. Activating KRAS mutations can be found in nearly 25 percent of all cancers1. -
B-Cell Malignancies in Microrna Eμ-Mir-17∼92 Transgenic Mice
B-cell malignancies in microRNA Eμ-miR-17∼92 transgenic mice Sukhinder K. Sandhua, Matteo Fassana,b, Stefano Voliniaa,c, Francesca Lovata, Veronica Balattia, Yuri Pekarskya, and Carlo M. Crocea,1 aDepartment of Molecular Virology, Immunology and Medical Genetics, The Ohio State University Wexner Medical Center, Columbus, OH 43210; bARC-NET Research Centre, University of Verona, VR 37134, Verona, Italy; cDepartment of Morphology, Surgery and Experimental Medicine, University of Ferrara, FE 44121 Ferrara, Italy Contributed by Carlo M. Croce, September 22, 2013 (sent for review July 12, 2013) miR-17∼92 is a polycistronic microRNA (miR) cluster (consisting of cluster, but not of its paralogs, has shown that miR-17∼92 plays miR-17, miR-18a, miR-19a, miR-19b, miR-20a, and miR-92a) which an important role in B-cell development, and the KO mice die frequently is overexpressed in several solid and lymphoid malig- shortly after birth from lung hypoplasia and ventricular septal nancies. Loss- and gain-of-function studies have revealed the role defects (8). Further examination of the role of individual miRs in of miR-17∼92 in heart, lung, and B-cell development and in Myc- B-cell lymphomas showed that miR-19a and miR19b are required induced B-cell lymphomas, respectively. Recent studies indicate and sufficient for the proliferative activities of the cluster (9). that overexpression of this locus leads to lymphoproliferation, To understand better the role of the miR-17∼92 cluster in but no experimental proof that dysregulation of this cluster causes B-cell neoplastic progression, we generated miR-17∼92 B-cell– B-cell lymphomas or leukemias is available. -
Coactivation of NF-Kb and Notch Signaling Is Sufficient to Induce B
Regular Article LYMPHOID NEOPLASIA Coactivation of NF-kB and Notch signaling is sufficient to induce B-cell transformation and enables B-myeloid conversion Downloaded from https://ashpublications.org/blood/article-pdf/135/2/108/1550992/bloodbld2019001438.pdf by UNIV OF IOWA LIBRARIES user on 20 February 2020 Yan Xiu,1,* Qianze Dong,1,2,* Lin Fu,1,2 Aaron Bossler,1 Xiaobing Tang,1,2 Brendan Boyce,3 Nicholas Borcherding,1 Mariah Leidinger,1 Jose´ Luis Sardina,4,5 Hai-hui Xue,6 Qingchang Li,2 Andrew Feldman,7 Iannis Aifantis,8 Francesco Boccalatte,8 Lili Wang,9 Meiling Jin,9 Joseph Khoury,10 Wei Wang,10 Shimin Hu,10 Youzhong Yuan,11 Endi Wang,12 Ji Yuan,13 Siegfried Janz,14 John Colgan,15 Hasem Habelhah,1 Thomas Waldschmidt,1 Markus Muschen,¨ 9 Adam Bagg,16 Benjamin Darbro,17 and Chen Zhao1,18 1Department of Pathology, Carver College of Medicine, University of Iowa, Iowa City, IA; 2Department of Pathology, China Medical University, Shenyang, China; 3Department of Pathology and Laboratory Medicine, University of Rochester Medical Center, Rochester, NY; 4Gene Regulation, Stem Cells and Cancer Program, Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain; 5Josep Carreras Leukaemia Research Institute, Campus ICO-Germans Trias i Pujol, Barcelona, Spain; 6Department of Microbiology and Immunology, Carver College of Medicine, University of Iowa, Iowa City, IA; 7Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN; 8Department of Pathology, NYU School of Medicine, -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
1714 Gene Comprehensive Cancer Panel Enriched for Clinically Actionable Genes with Additional Biologically Relevant Genes 400-500X Average Coverage on Tumor
xO GENE PANEL 1714 gene comprehensive cancer panel enriched for clinically actionable genes with additional biologically relevant genes 400-500x average coverage on tumor Genes A-C Genes D-F Genes G-I Genes J-L AATK ATAD2B BTG1 CDH7 CREM DACH1 EPHA1 FES G6PC3 HGF IL18RAP JADE1 LMO1 ABCA1 ATF1 BTG2 CDK1 CRHR1 DACH2 EPHA2 FEV G6PD HIF1A IL1R1 JAK1 LMO2 ABCB1 ATM BTG3 CDK10 CRK DAXX EPHA3 FGF1 GAB1 HIF1AN IL1R2 JAK2 LMO7 ABCB11 ATR BTK CDK11A CRKL DBH EPHA4 FGF10 GAB2 HIST1H1E IL1RAP JAK3 LMTK2 ABCB4 ATRX BTRC CDK11B CRLF2 DCC EPHA5 FGF11 GABPA HIST1H3B IL20RA JARID2 LMTK3 ABCC1 AURKA BUB1 CDK12 CRTC1 DCUN1D1 EPHA6 FGF12 GALNT12 HIST1H4E IL20RB JAZF1 LPHN2 ABCC2 AURKB BUB1B CDK13 CRTC2 DCUN1D2 EPHA7 FGF13 GATA1 HLA-A IL21R JMJD1C LPHN3 ABCG1 AURKC BUB3 CDK14 CRTC3 DDB2 EPHA8 FGF14 GATA2 HLA-B IL22RA1 JMJD4 LPP ABCG2 AXIN1 C11orf30 CDK15 CSF1 DDIT3 EPHB1 FGF16 GATA3 HLF IL22RA2 JMJD6 LRP1B ABI1 AXIN2 CACNA1C CDK16 CSF1R DDR1 EPHB2 FGF17 GATA5 HLTF IL23R JMJD7 LRP5 ABL1 AXL CACNA1S CDK17 CSF2RA DDR2 EPHB3 FGF18 GATA6 HMGA1 IL2RA JMJD8 LRP6 ABL2 B2M CACNB2 CDK18 CSF2RB DDX3X EPHB4 FGF19 GDNF HMGA2 IL2RB JUN LRRK2 ACE BABAM1 CADM2 CDK19 CSF3R DDX5 EPHB6 FGF2 GFI1 HMGCR IL2RG JUNB LSM1 ACSL6 BACH1 CALR CDK2 CSK DDX6 EPOR FGF20 GFI1B HNF1A IL3 JUND LTK ACTA2 BACH2 CAMTA1 CDK20 CSNK1D DEK ERBB2 FGF21 GFRA4 HNF1B IL3RA JUP LYL1 ACTC1 BAG4 CAPRIN2 CDK3 CSNK1E DHFR ERBB3 FGF22 GGCX HNRNPA3 IL4R KAT2A LYN ACVR1 BAI3 CARD10 CDK4 CTCF DHH ERBB4 FGF23 GHR HOXA10 IL5RA KAT2B LZTR1 ACVR1B BAP1 CARD11 CDK5 CTCFL DIAPH1 ERCC1 FGF3 GID4 HOXA11 IL6R KAT5 ACVR2A -
At the X-Roads of Sex and Genetics in Pulmonary Arterial Hypertension
G C A T T A C G G C A T genes Review At the X-Roads of Sex and Genetics in Pulmonary Arterial Hypertension Meghan M. Cirulis 1,2,* , Mark W. Dodson 1,2, Lynn M. Brown 1,2, Samuel M. Brown 1,2, Tim Lahm 3,4,5 and Greg Elliott 1,2 1 Division of Pulmonary, Critical Care and Occupational Medicine, University of Utah, Salt Lake City, UT 84132, USA; [email protected] (M.W.D.); [email protected] (L.M.B.); [email protected] (S.M.B.); [email protected] (G.E.) 2 Division of Pulmonary and Critical Care Medicine, Intermountain Medical Center, Salt Lake City, UT 84107, USA 3 Division of Pulmonary, Critical Care, Sleep and Occupational Medicine, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA; [email protected] 4 Richard L. Roudebush Veterans Affairs Medical Center, Indianapolis, IN 46202, USA 5 Department of Anatomy, Cell Biology & Physiology, Indiana University School of Medicine, Indianapolis, IN 46202, USA * Correspondence: [email protected]; Tel.: +1-801-581-7806 Received: 29 September 2020; Accepted: 17 November 2020; Published: 20 November 2020 Abstract: Group 1 pulmonary hypertension (pulmonary arterial hypertension; PAH) is a rare disease characterized by remodeling of the small pulmonary arteries leading to progressive elevation of pulmonary vascular resistance, ultimately leading to right ventricular failure and death. Deleterious mutations in the serine-threonine receptor bone morphogenetic protein receptor 2 (BMPR2; a central mediator of bone morphogenetic protein (BMP) signaling) and female sex are known risk factors for the development of PAH in humans. -
Myt1l Safeguards Neuronal Identity by Actively Repressing Many Non-Neuronal Fates Moritz Mall1, Michael S
LETTER doi:10.1038/nature21722 Myt1l safeguards neuronal identity by actively repressing many non-neuronal fates Moritz Mall1, Michael S. Kareta1†, Soham Chanda1,2, Henrik Ahlenius3, Nicholas Perotti1, Bo Zhou1,2, Sarah D. Grieder1, Xuecai Ge4†, Sienna Drake3, Cheen Euong Ang1, Brandon M. Walker1, Thomas Vierbuchen1†, Daniel R. Fuentes1, Philip Brennecke5†, Kazuhiro R. Nitta6†, Arttu Jolma6, Lars M. Steinmetz5,7, Jussi Taipale6,8, Thomas C. Südhof2 & Marius Wernig1 Normal differentiation and induced reprogramming require human Myt1l (Extended Data Fig. 1). Chromatin immunoprecipita- the activation of target cell programs and silencing of donor cell tion followed by DNA sequencing (ChIP–seq) of endogenous Myt1l programs1,2. In reprogramming, the same factors are often used to in fetal neurons (embryonic day (E) 13.5) and ectopic Myt1l in mouse reprogram many different donor cell types3. As most developmental embryonic fibroblasts (MEFs) two days after induction identified 3,325 repressors, such as RE1-silencing transcription factor (REST) and high-confidence Myt1l peaks that overlapped remarkably well between Groucho (also known as TLE), are considered lineage-specific neurons and MEFs (Fig. 1a, Extended Data Fig. 2, Supplementary repressors4,5, it remains unclear how identical combinations of Table 1). Thus, similar to the pioneer factor Ascl1, Myt1l can access transcription factors can silence so many different donor programs. the majority of its cognate DNA binding sites even in a distantly related Distinct lineage repressors would have to be induced in different cell type. However, unlike Ascl1 targets8, the chromatin at Myt1l donor cell types. Here, by studying the reprogramming of mouse fibroblasts to neurons, we found that the pan neuron-specific a Myt1l Myt1l b Myt1l Ascl1 Random Myt1l 6 Ascl1 + Brn2 endogenous transcription factor Myt1-like (Myt1l) exerts its pro-neuronal Closed 0.030 function by direct repression of many different somatic lineage k programs except the neuronal program. -
Next Generation Exome Sequencing of Paediatric Inflammatory Bowel Disease Patients Identifies Rare and Novel Variants in Candida
Gut Online First, published on April 28, 2012 as 10.1136/gutjnl-2011-301833 Inflammatory bowel disease ORIGINAL ARTICLE Gut: first published as 10.1136/gutjnl-2011-301833 on 28 April 2012. Downloaded from Next generation exome sequencing of paediatric inflammatory bowel disease patients identifies rare and novel variants in candidate genes Katja Christodoulou,1 Anthony E Wiskin,2 Jane Gibson,1 William Tapper,1 Claire Willis,2 Nadeem A Afzal,3 Rosanna Upstill-Goddard,1 John W Holloway,4 Michael A Simpson,5 R Mark Beattie,3 Andrew Collins,1 Sarah Ennis1 < Additional materials are ABSTRACT published online only. To view Background Multiple genes have been implicated by Significance of this study these files please visit the association studies in altering inflammatory bowel journal online (http://gut.bmj. com/content/early/recent). disease (IBD) predisposition. Paediatric patients often What is already known on this subject? manifest more extensive disease and a particularly < For numbered affiliations see Genome-wide association studies have impli- end of article. severe disease course. It is likely that genetic cated numerous candidate genes for inflamma- predisposition plays a more substantial role in this group. tory bowel disease (IBD), but evidence of Correspondence to Objective To identify the spectrum of rare and novel causality for specific variants is largely absent. Dr Sarah Ennis, Genetic variation in known IBD susceptibility genes using exome Furthermore, by design, genome-wide associa- Epidemiology and Genomic sequencing analysis in eight individual cases of childhood Informatics Group, Human tion studies are limited to the study of Genetics, Faculty of Medicine, onset severe disease. -
Effects of Targeting the Transcription Factors Ikaros and Aiolos on B Cell Activation and Differentiation in Systemic Lupus Erythematosus
Immunology and inflammation Lupus Sci Med: first published as 10.1136/lupus-2020-000445 on 16 March 2021. Downloaded from Effects of targeting the transcription factors Ikaros and Aiolos on B cell activation and differentiation in systemic lupus erythematosus Felice Rivellese ,1 Sotiria Manou- Stathopoulou,1 Daniele Mauro,1 Katriona Goldmann,1 Debasish Pyne,2 Ravindra Rajakariar,3 Patrick Gordon,4 Peter Schafer,5 Michele Bombardieri,1 Costantino Pitzalis,1 Myles J Lewis 1 To cite: Rivellese F, ABSTRACT Manou- Stathopoulou S, Objective To evaluate the effects of targeting Ikaros and Key messages Mauro D, et al. Effects of Aiolos by cereblon modulator iberdomide on the activation What is already known about this subject? targeting the transcription and differentiation of B- cells from patients with systemic factors Ikaros and Aiolos The transcription factors Ikaros and Aiolos, which lupus erythematosus (SLE). ► on B cell activation and are critical for B cell differentiation, are implicated in Methods CD19+ B- cells isolated from the peripheral differentiation in systemic systemic lupus erythematosus (SLE) pathogenesis. blood of patients with SLE (n=41) were cultured with lupus erythematosus. Targeting Ikaros and Aiolos using the cereblon mod- TLR7 ligand resiquimod ±IFNα together with iberdomide ► Lupus Science & Medicine ulator iberdomide has been proposed as a promising 2021;8:e000445. doi:10.1136/ or control from day 0 (n=16). Additionally, in vitro B- cell therapeutic agent. lupus-2020-000445 differentiation was induced by stimulation with IL-2/IL-10/ IL-15/CD40L/resiquimod with iberdomide or control, given What does this study add? at day 0 or at day 4. -
An Activin A/BMP2 Chimera, AB215, Blocks Estrogen Signaling Via Induction of ID Proteins in Breast Cancer Cells
Jung et al. BMC Cancer 2014, 14:549 http://www.biomedcentral.com/1471-2407/14/549 RESEARCH ARTICLE Open Access An Activin A/BMP2 chimera, AB215, blocks estrogen signaling via induction of ID proteins in breast cancer cells Jae Woo Jung1,3, Sun Young Shim1, Dong Kun Lee1, Witek Kwiatkowski2 and Senyon Choe1,2* Abstract Background: One in eight women will be affected by breast cancer in her lifetime. Approximately 75% of breast cancers express estrogen receptor alpha (ERα) and/or progesterone receptor and these receptors are markers for tumor dependence on estrogen. Anti-estrogenic drugs such as tamoxifen are commonly used to block estrogen-mediated signaling in breast cancer. However, many patients either do not respond to these therapies (de novo resistance) or develop resistance to them following prolonged treatment (acquired resistance). Therefore, it is imperative to continue efforts aimed at developing new efficient and safe methods of targeting ER activity in breast cancer. Methods: AB215 is a chimeric ligand assembled from sections of Activin A and BMP2. BMP2’sandAB215’s inhibition of breast cancer cells growth was investigated. In vitro luciferase and MTT proliferation assays together with western blot, RT_PCR, and mRNA knockdown methods were used to determine the mechanism of inhibition of estrogen positive breast cancer cells growth by BMP2 and AB215. Additionally in vivo xenograft tumor model was used to investigate anticancer properties of AB215. Results: Here we report that AB215, a chimeric ligand assembled from sections of Activin A and BMP2 with BMP2-like signaling, possesses stronger anti-proliferative effects on ERα positive breast cancer cells than BMP2.