The Multifaced Role of STAT3 in Cancer and Its Implication for Anticancer Therapy
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The STAT3 Inhibitor Galiellalactone Reduces IL6-Mediated AR Activity in Benign and Malignant Prostate Models
Author Manuscript Published OnlineFirst on September 25, 2018; DOI: 10.1158/1535-7163.MCT-18-0508 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. The STAT3 inhibitor galiellalactone reduces IL6-mediated AR activity in benign and malignant prostate models Florian Handle1,2, Martin Puhr1, Georg Schaefer3, Nicla Lorito1, Julia Hoefer1, Martina Gruber1, Fabian Guggenberger1, Frédéric R. Santer1, Rute B. Marques4, Wytske M. van Weerden4, Frank Claessens2, Holger H.H. Erb5*, Zoran Culig1* 1 Division of Experimental Urology, Department of Urology, Medical University of Innsbruck, Innsbruck, Austria 2 Molecular Endocrinology Laboratory, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium 3 Department of Pathology, Medical University of Innsbruck, Innsbruck, Austria 4 Department of Urology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands 5 Department of Urology and Pediatric Urology, University Medical Center Mainz, Mainz, Germany *Joint senior authors Running title: Galiellalactone reduces IL6-mediated AR activity Conflict of interest statement: Zoran Culig received research funding and honoraria from Astellas. Other authors declare no potential conflict of interest. Keywords (5): Prostate cancer, androgen receptor, Interleukin-6, STAT3, galiellalactone Financial support: This work was supported by grants from the Austrian Cancer Society/Tirol (to F. Handle) and the Austrian Science Fund (FWF): W1101-B12 (to Z. Culig). Corresponding author: Prof. Zoran Culig, Medical University of Innsbruck, Division of Experimental Urology, Anichstr. 35 6020 Innsbruck, Austria, [email protected] Word counts: Abstract: 242 (limit: 250); Text: 4993 (limit: 5000) Handle et al., 2018 1 Downloaded from mct.aacrjournals.org on October 1, 2021. -
Quantitative Modelling Explains Distinct STAT1 and STAT3
bioRxiv preprint doi: https://doi.org/10.1101/425868; this version posted September 24, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Title Quantitative modelling explains distinct STAT1 and STAT3 activation dynamics in response to both IFNγ and IL-10 stimuli and predicts emergence of reciprocal signalling at the level of single cells. 1,2, 3 1 1 1 1 1 2 Sarma U , Maitreye M , Bhadange S , Nair A , Srivastava A , Saha B , Mukherjee D . 1: National Centre for Cell Science, NCCS Complex, Ganeshkhind, SP Pune University Campus, Pune 411007, India. 2 : Corresponding author. [email protected] , [email protected] 3: Present address. Labs, Persistent Systems Limited, Pingala – Aryabhata, Erandwane, Pune, 411004 India. bioRxiv preprint doi: https://doi.org/10.1101/425868; this version posted September 24, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Abstract Cells use IFNγ-STAT1 and IL-10-STAT3 pathways primarily to elicit pro and anti-inflammatory responses, respectively. However, activation of STAT1 by IL-10 and STAT3 by IFNγ is also observed. The regulatory mechanisms controlling the amplitude and dynamics of both the STATs in response to these functionally opposing stimuli remains less understood. Here, our experiments at cell population level show distinct early signalling dynamics of both STAT1 and STAT3(S/1/3) in responses to IFNγ and IL-10 stimulation. -
Two CD95 Tumor Classes with Different Sensitivities to Antitumor Drugs
Two CD95 tumor classes with different sensitivities to antitumor drugs Alicia Algeciras-Schimnich*†‡, Eric M. Pietras*‡, Bryan C. Barnhart*, Patrick Legembre*, Shrijay Vijayan*, Susan L. Holbeck§, and Marcus E. Peter*¶ *The Ben May Institute for Cancer Research, University of Chicago, 924 East 57th Street, Chicago, IL 60637; and §Developmental Therapeutics Program, Information Technology Branch, National Cancer Institute, 6130 Executive Boulevard, Room 8014, Bethesda, MD 20892-7444 Communicated by Stanley J. Korsmeyer, Dana–Farber Cancer Institute, Boston, MA, August 6, 2003 (received for review April 11, 2003) CD95 type I and II cells differ in their dependence on mitochondria mCD95L. Here we uncover a striking difference in the response to execute apoptosis, because antiapoptotic members of the Bcl-2 of type I and II tumor cell lines to different forms of CD95L. We family render only type II cells resistant to death receptor-induced found that a preparation of soluble sCD95L (S2) (9) efficiently apoptosis. They can also be distinguished by a more efficient kills type II cells. In contrast, type I cells are resistant to this formation of the death-inducing signaling complex in type I cells. cytotoxic activity. S2 therefore represents a tool for identifying We have identified a soluble form of CD95 ligand (S2) that is type I and II cells. We applied this tool to a collection of 58 tumor cytotoxic to type II cells but does not kill type I cells. By testing 58 cell lines of various histologic origin [of the Developmental tumor cell lines of the National Cancer Institute’s anticancer drug- Therapeutics Program of the National Cancer Institute (NCI)] screening panel for apoptosis sensitivity to S2 and performing (10). -
Transcription Factor IRF8 Directs a Silencing Programme for TH17 Cell Differentiation
ARTICLE Received 17 Aug 2010 | Accepted 13 Apr 2011 | Published 17 May 2011 DOI: 10.1038/ncomms1311 Transcription factor IRF8 directs a silencing programme for TH17 cell differentiation Xinshou Ouyang1, Ruihua Zhang1, Jianjun Yang1, Qingshan Li1, Lihui Qin2, Chen Zhu3, Jianguo Liu4, Huan Ning4, Min Sun Shin5, Monica Gupta6, Chen-Feng Qi5, John Cijiang He1, Sergio A. Lira1, Herbert C. Morse III5, Keiko Ozato6, Lloyd Mayer1 & Huabao Xiong1 TH17 cells are recognized as a unique subset of T helper cells that have critical roles in the pathogenesis of autoimmunity and tissue inflammation. Although OR Rγt is necessary for the generation of TH17 cells, the molecular mechanisms underlying the functional diversity of TH17 cells are not fully understood. Here we show that a member of interferon regulatory factor (IRF) family of transcription factors, IRF8, has a critical role in silencing TH17-cell differentiation. Mice with a conventional knockout, as well as a T cell-specific deletion, of the Irf8 gene exhibited more efficient TH17 cells. Indeed, studies of an experimental model of colitis showed that IRF8 deficiency resulted in more severe inflammation with an enhanced TH17 phenotype. IRF8 was induced steadily and inhibited TH17-cell differentiation during TH17 lineage commitment at least in part through its physical interaction with RORγt. These findings define IRF8 as a novel intrinsic transcriptional inhibitor of TH17-cell differentiation. 1 Immunology Institute, Department of Medicine, Mount Sinai School of Medicine, 1 Gustave L. Levy Place, New York, New York 10029, USA. 2 Department of Pathology, Mount Sinai School of Medicine, New York, New York 10029, USA. -
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 -
IL-17-Secreting Th Cells Stat3 and Stat4 Direct Development Of
Stat3 and Stat4 Direct Development of IL-17-Secreting Th Cells Anubhav N. Mathur, Hua-Chen Chang, Dimitrios G. Zisoulis, Gretta L. Stritesky, Qing Yu, John T. O'Malley, This information is current as Reuben Kapur, David E. Levy, Geoffrey S. Kansas and Mark of September 29, 2021. H. Kaplan J Immunol 2007; 178:4901-4907; ; doi: 10.4049/jimmunol.178.8.4901 http://www.jimmunol.org/content/178/8/4901 Downloaded from References This article cites 38 articles, 15 of which you can access for free at: http://www.jimmunol.org/content/178/8/4901.full#ref-list-1 http://www.jimmunol.org/ Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication by guest on September 29, 2021 *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2007 by The American Association of Immunologists All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Stat3 and Stat4 Direct Development of IL-17-Secreting Th Cells1 Anubhav N. Mathur,2*† Hua-Chen Chang,2*† Dimitrios G. Zisoulis,‡ Gretta L. -
Open Chromatin Profiling in Adipose Tissue Marks Genomic Regions with Functional Roles in Cardiometabolic Traits
INVESTIGATION Open Chromatin Profiling in Adipose Tissue Marks Genomic Regions with Functional Roles in Cardiometabolic Traits Maren E. Cannon,*,1 Kevin W. Currin,*,1 Kristin L. Young,† Hannah J. Perrin,* Swarooparani Vadlamudi,* Alexias Safi,‡ Lingyun Song,‡ Ying Wu,* Martin Wabitsch,§ Markku Laakso,** Gregory E. Crawford,‡ and Karen L. Mohlke*,2 *Department of Genetics, †Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, ‡Department of Pediatrics, Division of Medical Genetics and Center for Genomic and Computational Biology, § Duke University, NC 27710, Department of Pediatrics and Adolescents Medicine, Division of Pediatric Endocrinology and Diabetes, University of Ulm, Germany 89081, and **Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland 70210 ORCID ID: 0000-0001-6721-153X (K.L.M.) ABSTRACT Identifying the regulatory mechanisms of genome-wide association study (GWAS) loci KEYWORDS affecting adipose tissue has been restricted due to limited characterization of adipose transcriptional chromatin regulatory elements. We profiled chromatin accessibility in three frozen human subcutaneous adipose accessibility tissue needle biopsies and preadipocytes and adipocytes from the Simpson Golabi-Behmel Syndrome adipose tissue (SGBS) cell strain using an assay for transposase-accessible chromatin (ATAC-seq). We identified preadipocytes 68,571 representative accessible chromatin regions (peaks) across adipose tissue samples (FDR , 5%). GWAS GWAS loci for eight cardiometabolic traits were enriched in these peaks (P , 0.005), with the strongest cardiometabolic enrichment for waist-hip ratio. Of 110 recently described cardiometabolic GWAS loci colocalized with trait adiposetissueeQTLs,59locihadoneormorevariantsoverlappinganadiposetissuepeak.Annotated variants at the SNX10 waist-hip ratio locus and the ATP2A1-SH2B1 body mass index locus showed allelic differences in regulatory assays. -
Single Cell RNA-Seq and Mass Cytometry Reveals a Novel and a Targetable Population Of
bioRxiv preprint doi: https://doi.org/10.1101/2021.01.04.425268; this version posted January 5, 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. Title: Single Cell RNA-seq and Mass Cytometry Reveals a Novel and a Targetable Population of Macrophages in Idiopathic Pulmonary Fibrosis Authors: 5 Ayaub EA4*, Poli S2*, Ng J4, Adams T3, Schupp J3, Quesada-Arias L2, Poli F1, Cosme C3, Robertson M6 , Martinez-Manzano J4, Liang X1,4, Villalba J5, Lederer J4, Chu SG4, Raby BA4, Washko G4, Coarfa C6, Perrella MA4, El-Chemaly S4, Kaminski N3, Rosas IO1 Author Affiliations: 10 1 Pulmonary, Critical Care and Sleep Medicine, Baylor College of Medicine, Houston, TX, USA 2 Mount Sinai Medical Center, Division of Internal Medicine, Miami Beach, FL, USA. 3 Pulmonary, Critical Care and Sleep Medicine, Yale School of Medicine, New Haven, CT, USA 4Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA 15 5 Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA. 6 Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA 20 *These authors contributed equally to the work 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.01.04.425268; this version posted January 5, 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. Author Contributions: EA, SP, IOR, and NK conceptualized the study. -
Cucurbitacin Q: a Selective STAT3 Activation Inhibitor with Potent Antitumor Activity
Oncogene (2005) 24, 3236–3245 & 2005 Nature Publishing Group All rights reserved 0950-9232/05 $30.00 www.nature.com/onc Cucurbitacin Q: a selective STAT3 activation inhibitor with potent antitumor activity Jiazhi Sun1,2, Michelle A Blaskovich1,2, Richard Jove1, Sandra K Livingston1, Domenico Coppola1 and Saı¨ d M Sebti*,1 1Departments of Interdisciplinary Oncology and Biochemistry and Molecular Biology, Drug Discovery and Molecular Oncology Programs, H Lee Moffitt Cancer Center and Research Institute, University of South Florida, 12902 Magnolia Drive, MRC-DRDIS, Tampa, FL 33612-9497, USA Constitutive activation of the JAK/STAT3 pathway is a Introduction major contributor to oncogenesis.In the present study, structure–activity relationship (SAR) studies with five Signal transducers and activators of transcription cucurbitacin (Cuc) analogs, A, B, E, I, and Q, led to the (STATs) are a family of seven proteins (STATs 1, 2, 3, discovery of Cuc Q, which inhibits the activation of 4, 5a, 5b, and 6) unique in their ability both to transduce STAT3 but not JAK2; Cuc A which inhibits JAK2 but not extracellular signals and regulate transcription directly. STAT3 activation; and Cuc B, E, and I, which inhibit the STATs transduce extracellular signals from cytokines activation of both.Furthermore, these SAR studies such as interleukin-6 and interferons or growth factors demonstrated that conversion of the C3 carbonyl of the such as platelet-derived growth factor (PDGF) and cucurbitacins to a hydroxyl results in loss of anti-JAK2 epidermal growth factor (EGF). Upon activation of activity, whereas addition of a hydroxyl group to C11 of these receptors, STATs are recruited to the plasma the cucurbitacins results in loss of anti-STAT3 activity. -
Transcription Factor Gene Expression Profiling and Analysis of SOX Gene Family Transcription Factors in Human Limbal Epithelial
Transcription factor gene expression profiling and analysis of SOX gene family transcription factors in human limbal epithelial progenitor cells Der Naturwissenschaftlichen Fakultät der Friedrich-Alexander-Universität Erlangen-Nürnberg zur Erlangung des Doktorgrades Dr. rer. nat. vorgelegt von Dr. med. Johannes Menzel-Severing aus Bonn Als Dissertation genehmigt von der Naturwissenschaftlichen Fakultät der Friedrich-Alexander-Universität Erlangen-Nürnberg Tag der mündlichen Prüfung: 7. Februar 2018 Vorsitzender des Promotionsorgans: Prof. Dr. Georg Kreimer Gutachter: Prof. Dr. Andreas Feigenspan Prof. Dr. Ursula Schlötzer-Schrehardt 1 INDEX 1. ABSTRACTS Page 1.1. Abstract in English 4 1.2. Zusammenfassung auf Deutsch 7 2. INTRODUCTION 2.1. Anatomy and histology of the cornea and the corneal surface 11 2.2. Homeostasis of corneal epithelium and the limbal stem cell paradigm 13 2.3. The limbal stem cell niche 15 2.4. Cell therapeutic strategies in ocular surface disease 17 2.5. Alternative cell sources for transplantation to the corneal surface 18 2.6. Transcription factors in cell differentiation and reprogramming 21 2.7. Transcription factors in limbal epithelial cells 22 2.8. Research question 25 3. MATERIALS AND METHODS 3.1. Human donor corneas 27 3.2. Laser Capture Microdissection (LCM) 28 3.3. RNA amplification and RT2 profiler PCR arrays 29 3.4. Real-time PCR analysis 33 3.5. Immunohistochemistry 34 3.6. Limbal epithelial cell culture 38 3.7. Transcription-factor knockdown/overexpression in vitro 39 3.8. Proliferation assay 40 3.9. Western blot 40 3.10. Statistical analysis 41 2 4. RESULTS 4.1. Quality control of LCM-isolated and amplified RNA 42 4.2. -
Modulation of STAT Signaling by STAT-Interacting Proteins
Oncogene (2000) 19, 2638 ± 2644 ã 2000 Macmillan Publishers Ltd All rights reserved 0950 ± 9232/00 $15.00 www.nature.com/onc Modulation of STAT signaling by STAT-interacting proteins K Shuai*,1 1Departments of Medicine and Biological Chemistry, University of California, Los Angeles, California, CA 90095, USA STATs (signal transducer and activator of transcription) play important roles in numerous cellular processes Interaction with non-STAT transcription factors including immune responses, cell growth and dierentia- tion, cell survival and apoptosis, and oncogenesis. In Studies on the promoters of a number of IFN-a- contrast to many other cellular signaling cascades, the induced genes identi®ed a conserved DNA sequence STAT pathway is direct: STATs bind to receptors at the named ISRE (interferon-a stimulated response element) cell surface and translocate into the nucleus where they that mediates IFN-a response (Darnell, 1997; Darnell function as transcription factors to trigger gene activa- et al., 1994). Stat1 and Stat2, the ®rst known members tion. However, STATs do not act alone. A number of of the STAT family, were identi®ed in the transcription proteins are found to be associated with STATs. These complex ISGF-3 (interferon-stimulated gene factor 3) STAT-interacting proteins function to modulate STAT that binds to ISRE (Fu et al., 1990, 1992; Schindler et signaling at various steps and mediate the crosstalk of al., 1992). ISGF-3 consists of a Stat1:Stat2 heterodimer STATs with other cellular signaling pathways. This and a non-STAT protein named p48, a member of the article reviews the roles of STAT-interacting proteins in IRF (interferon regulated factor) family (Levy, 1997). -
Xo GENE PANEL
xO GENE PANEL Targeted panel of 1714 genes | Tumor DNA Coverage: 500x | RNA reads: 50 million Onco-seq panel includes clinically relevant genes and a wide array of biologically relevant genes 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