Transcription and Imprinting Dynamics in Developing Postnatal Male Germline Stem Cells
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Microglia Emerge from Erythromyeloid Precursors Via Pu.1- and Irf8-Dependent Pathways
ART ic LE S Microglia emerge from erythromyeloid precursors via Pu.1- and Irf8-dependent pathways Katrin Kierdorf1,2, Daniel Erny1, Tobias Goldmann1, Victor Sander1, Christian Schulz3,4, Elisa Gomez Perdiguero3,4, Peter Wieghofer1,2, Annette Heinrich5, Pia Riemke6, Christoph Hölscher7,8, Dominik N Müller9, Bruno Luckow10, Thomas Brocker11, Katharina Debowski12, Günter Fritz1, Ghislain Opdenakker13, Andreas Diefenbach14, Knut Biber5,15, Mathias Heikenwalder16, Frederic Geissmann3,4, Frank Rosenbauer6 & Marco Prinz1,17 Microglia are crucial for immune responses in the brain. Although their origin from the yolk sac has been recognized for some time, their precise precursors and the transcription program that is used are not known. We found that mouse microglia were derived from primitive c-kit+ erythromyeloid precursors that were detected in the yolk sac as early as 8 d post conception. + lo − + − + These precursors developed into CD45 c-kit CX3CR1 immature (A1) cells and matured into CD45 c-kit CX3CR1 (A2) cells, as evidenced by the downregulation of CD31 and concomitant upregulation of F4/80 and macrophage colony stimulating factor receptor (MCSF-R). Proliferating A2 cells became microglia and invaded the developing brain using specific matrix metalloproteinases. Notably, microgliogenesis was not only dependent on the transcription factor Pu.1 (also known as Sfpi), but also required Irf8, which was vital for the development of the A2 population, whereas Myb, Id2, Batf3 and Klf4 were not required. Our data provide cellular and molecular insights into the origin and development of microglia. Microglia are the tissue macrophages of the brain and scavenge dying have the ability to give rise to microglia and macrophages in vitro cells, pathogens and molecules using pattern recognition receptors and in vivo under defined conditions. -
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 -
A Dual Cis-Regulatory Code Links IRF8 to Constitutive and Inducible Gene Expression in Macrophages
Downloaded from genesdev.cshlp.org on October 1, 2021 - Published by Cold Spring Harbor Laboratory Press A dual cis-regulatory code links IRF8 to constitutive and inducible gene expression in macrophages Alessandra Mancino,1,3 Alberto Termanini,1,3 Iros Barozzi,1 Serena Ghisletti,1 Renato Ostuni,1 Elena Prosperini,1 Keiko Ozato,2 and Gioacchino Natoli1 1Department of Experimental Oncology, European Institute of Oncology (IEO), 20139 Milan, Italy; 2Laboratory of Molecular Growth Regulation, Genomics of Differentiation Program, National Institute of Child Health and Human Development (NICHD), National Institutes of Health, Bethesda, Maryland 20892, USA The transcription factor (TF) interferon regulatory factor 8 (IRF8) controls both developmental and inflammatory stimulus-inducible genes in macrophages, but the mechanisms underlying these two different functions are largely unknown. One possibility is that these different roles are linked to the ability of IRF8 to bind alternative DNA sequences. We found that IRF8 is recruited to distinct sets of DNA consensus sequences before and after lipopolysaccharide (LPS) stimulation. In resting cells, IRF8 was mainly bound to composite sites together with the master regulator of myeloid development PU.1. Basal IRF8–PU.1 binding maintained the expression of a broad panel of genes essential for macrophage functions (such as microbial recognition and response to purines) and contributed to basal expression of many LPS-inducible genes. After LPS stimulation, increased expression of IRF8, other IRFs, and AP-1 family TFs enabled IRF8 binding to thousands of additional regions containing low-affinity multimerized IRF sites and composite IRF–AP-1 sites, which were not premarked by PU.1 and did not contribute to the basal IRF8 cistrome. -
Genequery™ Human Stem Cell Transcription Factors Qpcr Array
GeneQuery™ Human Stem Cell Transcription Factors qPCR Array Kit (GQH-SCT) Catalog #GK125 Product Description ScienCell's GeneQuery™ Human Stem Cell Transcription Factors qPCR Array Kit (GQH-SCT) surveys a panel of 88 transcription factors related to stem cell maintenance and differentiation. Transcription factors are proteins that can regulate target gene transcription level by binding to specific regions of the genome known as enhancers or silencers. Brief examples of how genes may be grouped according to their functions are shown below: • Pluripotency transcription factors: NANOG, POU5F1, SOX2 • Embryonic development: EOMES, FOXC2/D3/O1, HOXA9/A10, KLF2/5, LIN28B, MAX, PITX2, SMAD1, TBX5, ZIC1 • Germ layer formation and differentiation: FOXA2, GATA6, HAND1, ISL1, KLF4, SMAD2, SOX9 • Organ morphogenesis: EZH2, HOXA11/B3/B5/C9, MSX2, MYC, PAX5/8, VDR • Angiogenesis: CDX2, JUN, NR2F2, RUNX1, WT1 • Hematopoiesis and osteogenesis: EGR3, ESR1, GATA1/2/3, GLI2, NFATC1, PAX9, RB1, SOX6, SP1, STAT1 • Neural stem cell maintenance and differentiation: ATF2, CREB1, FOSB, FOXO3, HES1, HOXD10, MCM2/7, MEF2C, NEUROD1/G1, OLIG1/2, PAX3/6, POU4F1, PPARG, SMAD3/4, SNAI1, STAT3 Note : all gene names follow their official symbols by the Human Genome Organization Gene Nomenclature Committee (HGNC). GeneQuery™ qPCR array kits are qPCR ready in a 96-well plate format, with each well containing one primer set that can specifically recognize and efficiently amplify a target gene's cDNA. The carefully designed primers ensure that: (i) the optimal annealing temperature in qPCR analysis is 65°C (with 2 mM Mg 2+ , and no DMSO); (ii) the primer set recognizes all known transcript variants of target gene, unless otherwise indicated; and (iii) only one gene is amplified. -
Supp Table 6.Pdf
Supplementary Table 6. Processes associated to the 2037 SCL candidate target genes ID Symbol Entrez Gene Name Process NM_178114 AMIGO2 adhesion molecule with Ig-like domain 2 adhesion NM_033474 ARVCF armadillo repeat gene deletes in velocardiofacial syndrome adhesion NM_027060 BTBD9 BTB (POZ) domain containing 9 adhesion NM_001039149 CD226 CD226 molecule adhesion NM_010581 CD47 CD47 molecule adhesion NM_023370 CDH23 cadherin-like 23 adhesion NM_207298 CERCAM cerebral endothelial cell adhesion molecule adhesion NM_021719 CLDN15 claudin 15 adhesion NM_009902 CLDN3 claudin 3 adhesion NM_008779 CNTN3 contactin 3 (plasmacytoma associated) adhesion NM_015734 COL5A1 collagen, type V, alpha 1 adhesion NM_007803 CTTN cortactin adhesion NM_009142 CX3CL1 chemokine (C-X3-C motif) ligand 1 adhesion NM_031174 DSCAM Down syndrome cell adhesion molecule adhesion NM_145158 EMILIN2 elastin microfibril interfacer 2 adhesion NM_001081286 FAT1 FAT tumor suppressor homolog 1 (Drosophila) adhesion NM_001080814 FAT3 FAT tumor suppressor homolog 3 (Drosophila) adhesion NM_153795 FERMT3 fermitin family homolog 3 (Drosophila) adhesion NM_010494 ICAM2 intercellular adhesion molecule 2 adhesion NM_023892 ICAM4 (includes EG:3386) intercellular adhesion molecule 4 (Landsteiner-Wiener blood group)adhesion NM_001001979 MEGF10 multiple EGF-like-domains 10 adhesion NM_172522 MEGF11 multiple EGF-like-domains 11 adhesion NM_010739 MUC13 mucin 13, cell surface associated adhesion NM_013610 NINJ1 ninjurin 1 adhesion NM_016718 NINJ2 ninjurin 2 adhesion NM_172932 NLGN3 neuroligin -
A Bioinformatics Model of Human Diseases on the Basis Of
SUPPLEMENTARY MATERIALS A Bioinformatics Model of Human Diseases on the basis of Differentially Expressed Genes (of Domestic versus Wild Animals) That Are Orthologs of Human Genes Associated with Reproductive-Potential Changes Vasiliev1,2 G, Chadaeva2 I, Rasskazov2 D, Ponomarenko2 P, Sharypova2 E, Drachkova2 I, Bogomolov2 A, Savinkova2 L, Ponomarenko2,* M, Kolchanov2 N, Osadchuk2 A, Oshchepkov2 D, Osadchuk2 L 1 Novosibirsk State University, Novosibirsk 630090, Russia; 2 Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk 630090, Russia; * Correspondence: [email protected]. Tel.: +7 (383) 363-4963 ext. 1311 (M.P.) Supplementary data on effects of the human gene underexpression or overexpression under this study on the reproductive potential Table S1. Effects of underexpression or overexpression of the human genes under this study on the reproductive potential according to our estimates [1-5]. ↓ ↑ Human Deficit ( ) Excess ( ) # Gene NSNP Effect on reproductive potential [Reference] ♂♀ NSNP Effect on reproductive potential [Reference] ♂♀ 1 increased risks of preeclampsia as one of the most challenging 1 ACKR1 ← increased risk of atherosclerosis and other coronary artery disease [9] ← [3] problems of modern obstetrics [8] 1 within a model of human diseases using Adcyap1-knockout mice, 3 in a model of human health using transgenic mice overexpressing 2 ADCYAP1 ← → [4] decreased fertility [10] [4] Adcyap1 within only pancreatic β-cells, ameliorated diabetes [11] 2 within a model of human diseases -
Investigation of Germline GFRA4 Mutations and Evaluation of The
1of4 ELECTRONIC LETTER J Med Genet: first published as 10.1136/jmg.40.3.e18 on 1 March 2003. Downloaded from Investigation of germline GFRA4 mutations and evaluation of the involvement of GFRA1, GFRA2, GFRA3, and GFRA4 sequence variants in Hirschsprung disease S Borrego, R M Fernández, H Dziema, A Niess, M López-Alonso, G Antiñolo, C Eng ............................................................................................................................. J Med Genet 2003;40:e18(http://www.jmedgenet.com/cgi/content/full/40/3/e18) he RET proto-oncogene on 10q11.2, which encodes a Key points receptor tyrosine kinase expressed in neural crest and its Tderivatives, is the susceptibility gene for multiple endo- crine neoplasia type 2 (MEN 2), characterised by medullary • Hirschsprung disease (HSCR) occurs in 1:5000 live thyroid carcinoma, phaeochromocytoma, and hyperparathy- births and is currently acknowledged as having a poly- roidism, and one of several susceptibility genes for Hirsch- genic aetiology. Originally reported as the major sprung disease (HSCR).1–4 HSCR is characterised by aganglio- susceptibility gene for both inherited and isolated nosis of the gut resulting from inappropriate and premature HSCR, germline loss of function mutations in the RET apoptosis of the enteric ganglia. Initially, it was believed that proto-oncogene, encoding a receptor tyrosine kinase on approximately 50% of familial HSCR and 30% of isolated 10q11.2, have only been implicated in 3% of a popu- HSCR were the result of germline loss of function mutations lation based series of HSCR. 56 in the RET proto-oncogene (reviewed by Eng and Mulli- • Recently, we and others have shown that germline 7 gan ). However, these data were obtained with highly selected sequence variants within the RET coding sequence are series of families and patients with HSCR. -
The DNA Sequence and Comparative Analysis of Human Chromosome 20
articles The DNA sequence and comparative analysis of human chromosome 20 P. Deloukas, L. H. Matthews, J. Ashurst, J. Burton, J. G. R. Gilbert, M. Jones, G. Stavrides, J. P. Almeida, A. K. Babbage, C. L. Bagguley, J. Bailey, K. F. Barlow, K. N. Bates, L. M. Beard, D. M. Beare, O. P. Beasley, C. P. Bird, S. E. Blakey, A. M. Bridgeman, A. J. Brown, D. Buck, W. Burrill, A. P. Butler, C. Carder, N. P. Carter, J. C. Chapman, M. Clamp, G. Clark, L. N. Clark, S. Y. Clark, C. M. Clee, S. Clegg, V. E. Cobley, R. E. Collier, R. Connor, N. R. Corby, A. Coulson, G. J. Coville, R. Deadman, P. Dhami, M. Dunn, A. G. Ellington, J. A. Frankland, A. Fraser, L. French, P. Garner, D. V. Grafham, C. Grif®ths, M. N. D. Grif®ths, R. Gwilliam, R. E. Hall, S. Hammond, J. L. Harley, P. D. Heath, S. Ho, J. L. Holden, P. J. Howden, E. Huckle, A. R. Hunt, S. E. Hunt, K. Jekosch, C. M. Johnson, D. Johnson, M. P. Kay, A. M. Kimberley, A. King, A. Knights, G. K. Laird, S. Lawlor, M. H. Lehvaslaiho, M. Leversha, C. Lloyd, D. M. Lloyd, J. D. Lovell, V. L. Marsh, S. L. Martin, L. J. McConnachie, K. McLay, A. A. McMurray, S. Milne, D. Mistry, M. J. F. Moore, J. C. Mullikin, T. Nickerson, K. Oliver, A. Parker, R. Patel, T. A. V. Pearce, A. I. Peck, B. J. C. T. Phillimore, S. R. Prathalingam, R. W. Plumb, H. Ramsay, C. M. -
Taqman® Human Protein Kinase Array
TaqMan® Gene Signature Arrays TaqMan® Human Protein Kinase Array This array is part of a collection of TaqMan® Gene Signature these kinases are from receptor protein-tyrosine kinase (RPTK) Arrays that enable analysis of hundreds of TaqMan® Gene families: EGFR, InsulinR, PDGFR, VEGFR, FGFR, CCK, NGFR, Expression Assays on a micro fluidic card with minimal effort. HGFR, EPHR, AXL, TIE, RYK, DDR, RET, ROS, LTK, ROR and MUSK. The remaining 15 kinases are Ser/Thr kinases from the Protein kinases are one of the largest families of genes in kinase families: CAMKL, IRAK, Lmr, RIPK and STKR. eukaryotes. They belong to one superfamily containing a eukaryotic protein kinase catalytic domain. The ability of kinases We have also selected assays for 26 non-kinase genes in the to reversibly phosphorylate and regulate protein function Human Protein Kinase Array. These genes are involved in signal has been a subject of intense investigation. Kinases are transduction and mediate protein-protein interaction, transcrip- responsible for most of the signal transduction in eukaryotic tional regulation, neural development and cell adhesion. cells, affecting cellular processes including metabolism, References: angiogenesis, hemopoiesis, apoptosis, transcription and Manning, G., Whyte, D.B., Martinez, R., Hunter, T., and differentiation. Protein kinases are also involved in functioning Sudarsanam, S. 2002. The Protein Kinase Complement of the of the nervous and immune systems, in physiologic responses Human Genome. Science 298:1912–34. and in development. Imbalances in signal transduction due to accumulation of mutations or genetic alterations have Blume-Jensen, P. and Hunter, T. 2001. Oncogenic kinase been shown to result in malignant transformation. -
Krüppel-Like Factor 4 Promotes Survival and Expansion in Acute Myeloid Leukemia Cells
www.oncotarget.com Oncotarget, 2021, Vol. 12, (No. 4), pp: 255-267 Research Paper Krüppel-like factor 4 promotes survival and expansion in acute myeloid leukemia cells Andrew Henry Lewis1, Cory Seth Bridges1, Viraaj Singh Punia1, Abraham Fausto Jornada Cooper1,2, Monica Puppi1 and H. Daniel Lacorazza1 1Department of Pathology & Immunology, Baylor College of Medicine, Texas Children’s Hospital, Houston, TX 77030, USA 2SMART Program at Baylor College of Medicine Houston, Houston, TX 77030, USA Correspondence to: H. Daniel Lacorazza, email: [email protected] Keywords: acute myeloid leukemia; KLF4; cancer; gene editing; cell growth Received: November 20, 2020 Accepted: January 19, 2021 Published: February 16, 2021 Copyright: © 2021 Lewis et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Acute myeloid leukemia (AML) is an aggressive hematological malignancy of the bone marrow that affects mostly elderly adults. Alternative therapies are needed for AML patients because the overall prognosis with current standard of care, high dose chemotherapy and allogeneic transplantation, remains poor due to the emergence of refractory and relapsed disease. Here, we found expression of the transcription factor KLF4 in AML cell lines is not silenced through KLF4 gene methylation nor via proteasomal degradation. The deletion of KLF4 by CRISPR-CAS9 technology reduced cell growth and increased apoptosis in both NB4 and MonoMac-6 cell lines. Chemical induced differentiation of gene edited NB4 and MonoMac6 cells with ATRA and PMA respectively increased apoptosis and altered expression of differentiating markers CD11b and CD14. -
ERG Promotes Transcriptional Reprogramming of Prostatic Epithelial Cells Toward a Cancer Stem Cell Phenotype
ERG promotes transcriptional reprogramming of prostatic epithelial cells toward a cancer stem cell phenotype Manju Sharma, Yubin Guo, Robert Bell, and Michael E. Cox. Vancouver Prostate Centre. Vancouver British Columbia, Canada Abstract Genomic rearrangements that result in aberrant expression of the proto-oncogene member of the erythroblast transformation-specific family of transcription factors, ERG, occur in almost half of prostate cancers. The most frequent rearrangements are the result of an interstitial deletion that results in fusion of androgen-responsive elements of serine 2-erythroblast transformation-specific-related gene with variable amino terminal ERG open reading frame exons. These TMPRSS2-ERG fusions are the most common cancer-associated mutation. They occur early in prostate cancer initiation, are associated with high Gleason score, and aggressive disease. When amplified and/or expressed at high level, TMPRSS2-ERG is associated with poor prognosis. Mirroring its functions in normal chondrocyte and endothelial cell differentiation, ERG expression in prostatic epithelial cells drives aberrant activation of transcriptional programs promoting migration, invasion, and epithelial-mesenchymal transition. Additionally, TMPRSS2-ERG status appears to enhance resistance to abiraterone and taxane therapies. We hypothesized that ERG expression can promote transformation of prostatic epithelial cells by directing transcriptional reprogramming towards a cancer stem cell phenotype. Transcriptional analysis of ERG-expressing RWPE1 prostatic epithelial cells (ERG-RWPE1) demonstrated up-regulation transcription of a panel of stem cell-related genes. When cultured under non- adherent conditions, ERG-RWPE1 cells selectively demonstrated the ability of form serially passable spheroids and dramatically increased expression of stem cell markers, PROM1, c-KIT and CD33. When re- plated in adherent conditions, cells re-established the expression pattern of parental adherent cultures. -
Xo PANEL DNA GENE LIST
xO PANEL DNA GENE LIST ~1700 gene comprehensive cancer panel enriched for clinically actionable genes with additional biologically relevant genes (at 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