VDAC1 at the Intersection of Cell Metabolism, Apoptosis, and Diseases
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Interplay Between Epigenetics and Metabolism in Oncogenesis: Mechanisms and Therapeutic Approaches
OPEN Oncogene (2017) 36, 3359–3374 www.nature.com/onc REVIEW Interplay between epigenetics and metabolism in oncogenesis: mechanisms and therapeutic approaches CC Wong1, Y Qian2,3 and J Yu1 Epigenetic and metabolic alterations in cancer cells are highly intertwined. Oncogene-driven metabolic rewiring modifies the epigenetic landscape via modulating the activities of DNA and histone modification enzymes at the metabolite level. Conversely, epigenetic mechanisms regulate the expression of metabolic genes, thereby altering the metabolome. Epigenetic-metabolomic interplay has a critical role in tumourigenesis by coordinately sustaining cell proliferation, metastasis and pluripotency. Understanding the link between epigenetics and metabolism could unravel novel molecular targets, whose intervention may lead to improvements in cancer treatment. In this review, we summarized the recent discoveries linking epigenetics and metabolism and their underlying roles in tumorigenesis; and highlighted the promising molecular targets, with an update on the development of small molecule or biologic inhibitors against these abnormalities in cancer. Oncogene (2017) 36, 3359–3374; doi:10.1038/onc.2016.485; published online 16 January 2017 INTRODUCTION metabolic genes have also been identified as driver genes It has been appreciated since the early days of cancer research mutated in some cancers, such as isocitrate dehydrogenase 1 16 17 that the metabolic profiles of tumor cells differ significantly from and 2 (IDH1/2) in gliomas and acute myeloid leukemia (AML), 18 normal cells. Cancer cells have high metabolic demands and they succinate dehydrogenase (SDH) in paragangliomas and fuma- utilize nutrients with an altered metabolic program to support rate hydratase (FH) in hereditary leiomyomatosis and renal cell 19 their high proliferative rates and adapt to the hostile tumor cancer (HLRCC). -
Mutant IDH, (R)-2-Hydroxyglutarate, and Cancer
Downloaded from genesdev.cshlp.org on October 1, 2021 - Published by Cold Spring Harbor Laboratory Press REVIEW What a difference a hydroxyl makes: mutant IDH, (R)-2-hydroxyglutarate, and cancer Julie-Aurore Losman1 and William G. Kaelin Jr.1,2,3 1Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts 02215, USA; 2Howard Hughes Medical Institute, Chevy Chase, Maryland 20815, USA Mutations in metabolic enzymes, including isocitrate whether altered cellular metabolism is a cause of cancer dehydrogenase 1 (IDH1) and IDH2, in cancer strongly or merely an adaptive response of cancer cells in the face implicate altered metabolism in tumorigenesis. IDH1 of accelerated cell proliferation is still a topic of some and IDH2 catalyze the interconversion of isocitrate and debate. 2-oxoglutarate (2OG). 2OG is a TCA cycle intermediate The recent identification of cancer-associated muta- and an essential cofactor for many enzymes, including tions in three metabolic enzymes suggests that altered JmjC domain-containing histone demethylases, TET cellular metabolism can indeed be a cause of some 5-methylcytosine hydroxylases, and EglN prolyl-4-hydrox- cancers (Pollard et al. 2003; King et al. 2006; Raimundo ylases. Cancer-associated IDH mutations alter the enzymes et al. 2011). Two of these enzymes, fumarate hydratase such that they reduce 2OG to the structurally similar (FH) and succinate dehydrogenase (SDH), are bone fide metabolite (R)-2-hydroxyglutarate [(R)-2HG]. Here we tumor suppressors, and loss-of-function mutations in FH review what is known about the molecular mechanisms and SDH have been identified in various cancers, in- of transformation by mutant IDH and discuss their im- cluding renal cell carcinomas and paragangliomas. -
VDAC1 Selectively Transfers Apoptotic Ca2&Plus; Signals to Mitochondria
Cell Death and Differentiation (2012) 19, 267–273 & 2012 Macmillan Publishers Limited All rights reserved 1350-9047/12 www.nature.com/cdd VDAC1 selectively transfers apoptotic Ca2 þ signals to mitochondria D De Stefani1, A Bononi2, A Romagnoli1, A Messina3, V De Pinto3, P Pinton2 and R Rizzuto*,1 Voltage-dependent anion channels (VDACs) are expressed in three isoforms, with common channeling properties and different roles in cell survival. We show that VDAC1 silencing potentiates apoptotic challenges, whereas VDAC2 has the opposite effect. Although all three VDAC isoforms are equivalent in allowing mitochondrial Ca2 þ loading upon agonist stimulation, VDAC1 silencing selectively impairs the transfer of the low-amplitude apoptotic Ca2 þ signals. Co-immunoprecipitation experiments show that VDAC1, but not VDAC2 and VDAC3, forms complexes with IP3 receptors, an interaction that is further strengthened by apoptotic stimuli. These data highlight a non-redundant molecular route for transferring Ca2 þ signals to mitochondria in apoptosis. Cell Death and Differentiation (2012) 19, 267–273; doi:10.1038/cdd.2011.92; published online 1 July 2011 Voltage-dependent anion channels (VDACs), the most Mitochondrial [Ca2 þ ] is commonly regarded as an impor- abundant proteins of the outer mitochondrial membrane tant determinant in cell sensitivity to apoptotic stimuli.21 (OMM), mediate the exchange of ions and metabolites Indeed, mitochondrial Ca2 þ accumulation acts as a ‘priming between the cytoplasm and mitochondria, and are key factors signal’ sensitizing the organelle and promoting the release of in many cellular processes, ranging from metabolism regula- caspase cofactors, both in isolated mitochondria as well as in tion to cell death. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Transcriptomic Analysis of Native Versus Cultured Human and Mouse Dorsal Root Ganglia Focused on Pharmacological Targets Short
bioRxiv preprint doi: https://doi.org/10.1101/766865; this version posted September 12, 2019. 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-ND 4.0 International license. Transcriptomic analysis of native versus cultured human and mouse dorsal root ganglia focused on pharmacological targets Short title: Comparative transcriptomics of acutely dissected versus cultured DRGs Andi Wangzhou1, Lisa A. McIlvried2, Candler Paige1, Paulino Barragan-Iglesias1, Carolyn A. Guzman1, Gregory Dussor1, Pradipta R. Ray1,#, Robert W. Gereau IV2, # and Theodore J. Price1, # 1The University of Texas at Dallas, School of Behavioral and Brain Sciences and Center for Advanced Pain Studies, 800 W Campbell Rd. Richardson, TX, 75080, USA 2Washington University Pain Center and Department of Anesthesiology, Washington University School of Medicine # corresponding authors [email protected], [email protected] and [email protected] Funding: NIH grants T32DA007261 (LM); NS065926 and NS102161 (TJP); NS106953 and NS042595 (RWG). The authors declare no conflicts of interest Author Contributions Conceived of the Project: PRR, RWG IV and TJP Performed Experiments: AW, LAM, CP, PB-I Supervised Experiments: GD, RWG IV, TJP Analyzed Data: AW, LAM, CP, CAG, PRR Supervised Bioinformatics Analysis: PRR Drew Figures: AW, PRR Wrote and Edited Manuscript: AW, LAM, CP, GD, PRR, RWG IV, TJP All authors approved the final version of the manuscript. 1 bioRxiv preprint doi: https://doi.org/10.1101/766865; this version posted September 12, 2019. 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. -
1 PDK4 Augments ER-Mitochondria Contact to Dampen Skeletal Muscle
Page 1 of 91 Diabetes PDK4 augments ER-mitochondria contact to dampen skeletal muscle insulin signaling during obesity Themis Thoudam1,2*, Chae-Myeong Ha1,2*, Jaechan Leem3*, Dipanjan Chanda4*, Jong-Seok Park5, Hyo-Jeong Kim6, Jae-Han Jeon4,7, Yeon-Kyung Choi4,7, Suthat Liangpunsakul 8,9,10, Yang Hoon Huh6, Tae-Hwan Kwon1,2, Keun-Gyu Park4,7, Robert A. Harris9, Kyu-Sang Park11, Hyun-Woo Rhee12 & In-Kyu Lee1,2,4,7 Affiliations 1Department of Biomedical Science, Graduate School, 2BK21 Plus KNU Biomedical Convergence Program, Kyungpook National University, Daegu, Republic of Korea, Department of Immunology, School of Medicine, 3Catholic University of Daegu, Daegu, Republic of Korea, 4Leading-edge Research Center for drug Discovery & Development for Diabetes & Metabolic Disease, Daegu, Republic of Korea, 5Department of Chemistry, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea, 6Electron Microscopy Research Center, Korea Basic Science Institute, Ochang, Chungbuk, Republic of Korea, 7Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea, 8Division of Gastroenterology and Hepatology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA, 9Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA, 10Roudebush Veterans Administration Medical Center, Indianapolis, IN, USA, 11Department of Physiology, Institute of Lifestyle Medicine, Yonsei University Wonju College of Medicine, Gangwon-Do, Republic of Korea, 12Department of Chemistry, Seoul National University, Seoul, Republic of Korea. *These authors contributed equally to this work. 1 Diabetes Publish Ahead of Print, published online December 6, 2018 Diabetes Page 2 of 91 Correspondence to In Kyu Lee, M.D., Ph.D. -
Difluoromethylornithine Attenuates Isoproterenol‑Induced Cardiac Hypertrophy by Regulating Apoptosis, Autophagy and the Mitochondria‑Associated Membranes Pathway
EXPERIMENTAL AND THERAPEUTIC MEDICINE 22: 870, 2021 Difluoromethylornithine attenuates isoproterenol‑induced cardiac hypertrophy by regulating apoptosis, autophagy and the mitochondria‑associated membranes pathway YU ZHAO*, WEI‑WEI JIA*, SAN REN, WEI XIAO, GUANG‑WEI LI, LI JIN and YAN LIN Department of Pathophysiology, Qiqihar Medical University, Qiqihar, Heilongjiang 161006, P.R. China Received October 9, 2020; Accepted April 28, 2021 DOI: 10.3892/etm.2021.10302 Abstract. Myocardial hypertrophy is an independent risk Introduction factor of cardiovascular diseases and is closely associated with the incidence of heart failure. In the present study, we The initial stage of cardiac hypertrophy is an adaptive hypothesized that difluoromethylornithine (DFMO) could response in volume related to hypertension, valvular disease attenuate cardiac hypertrophy through mitochondria‑associ‑ or neurohumoral stimuli. The decompensated stage of patho‑ ated membranes (MAM) and autophagy. Cardiac hypertrophy logical hypertrophy leads to contractile dysfunction and heart was induced in male rats by intravenous administration of failure (HF) (1,2). Mitochondria serve crucial biological roles isoproterenol (ISO; 5 mg/kg/day) for 1, 3,7 and 14 days. For in excitation‑contraction coupling in cardiac muscle, cellular DFMO treatment group, rats were given ISO (5 mg/kg/day) metabolism, HF progression and myocardial ischemia/reper‑ for 14 days and 2% DFMO in their water for 4 weeks. The fusion (3‑5). It has been hypothesized that abnormalities in expression of atrial natriuretic peptide (ANP) mRNA,heart mitochondrial function and endoplasmic reticulum (ER) may parameters, apoptosis rate, fibrotic area and protein expres‑ be related to cardiomyopathy (6,7). sions of cleaved caspase3/9, GRP75, Mfn2, CypD and Increasing evidence suggests that mitochondria and the VDAC1 were measured to confirm the development of cardiac ER are organelles that form an endomembrane network. -
Is VDAC a Regulated Gatekeeper of Mitochondrial Calcium Uptake?
International Journal of Molecular Sciences Review A Calcium Guard in the Outer Membrane: Is VDAC a Regulated Gatekeeper of Mitochondrial Calcium Uptake? Paulina Sander 1 , Thomas Gudermann 1,2 and Johann Schredelseker 1,2,* 1 Walther Straub Institute of Pharmacology and Toxicology, Faculty of Medicine, LMU Munich, 80336 Munich, Germany; [email protected] (P.S.); [email protected] (T.G.) 2 Deutsches Zentrum für Herz-Kreislauf-Forschung, Partner Site Munich Heart Alliance, Munich, Germany * Correspondence: [email protected]; Tel.: +49-(0)89-2180-73831 Abstract: Already in the early 1960s, researchers noted the potential of mitochondria to take up large amounts of Ca2+. However, the physiological role and the molecular identity of the mitochondrial Ca2+ uptake mechanisms remained elusive for a long time. The identification of the individual components of the mitochondrial calcium uniporter complex (MCUC) in the inner mitochondrial membrane in 2011 started a new era of research on mitochondrial Ca2+ uptake. Today, many studies investigate mitochondrial Ca2+ uptake with a strong focus on function, regulation, and localization of the MCUC. However, on its way into mitochondria Ca2+ has to pass two membranes, and the first barrier before even reaching the MCUC is the outer mitochondrial membrane (OMM). The common opinion is that the OMM is freely permeable to Ca2+. This idea is supported by the presence of a high density of voltage-dependent anion channels (VDACs) in the OMM, forming large Ca2+ permeable pores. However, several reports challenge this idea and describe VDAC as a regulated Ca2+ channel. 2+ In line with this idea is the notion that its Ca selectivity depends on the open state of the channel, and its gating behavior can be modified by interaction with partner proteins, metabolites, or small 2+ Citation: Sander, P.; Gudermann, T.; synthetic molecules. -
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 -
Electronic Supplementary Material (ESI) for Metallomics
Electronic Supplementary Material (ESI) for Metallomics. This journal is © The Royal Society of Chemistry 2018 Uniprot Entry name Gene names Protein names Predicted Pattern Number of Iron role EC number Subcellular Membrane Involvement in disease Gene ontology (biological process) Id iron ions location associated 1 P46952 3HAO_HUMAN HAAO 3-hydroxyanthranilate 3,4- H47-E53-H91 1 Fe cation Catalytic 1.13.11.6 Cytoplasm No NAD biosynthetic process [GO:0009435]; neuron cellular homeostasis dioxygenase (EC 1.13.11.6) (3- [GO:0070050]; quinolinate biosynthetic process [GO:0019805]; response to hydroxyanthranilate oxygenase) cadmium ion [GO:0046686]; response to zinc ion [GO:0010043]; tryptophan (3-HAO) (3-hydroxyanthranilic catabolic process [GO:0006569] acid dioxygenase) (HAD) 2 O00767 ACOD_HUMAN SCD Acyl-CoA desaturase (EC H120-H125-H157-H161; 2 Fe cations Catalytic 1.14.19.1 Endoplasmic Yes long-chain fatty-acyl-CoA biosynthetic process [GO:0035338]; unsaturated fatty 1.14.19.1) (Delta(9)-desaturase) H160-H269-H298-H302 reticulum acid biosynthetic process [GO:0006636] (Delta-9 desaturase) (Fatty acid desaturase) (Stearoyl-CoA desaturase) (hSCD1) 3 Q6ZNF0 ACP7_HUMAN ACP7 PAPL PAPL1 Acid phosphatase type 7 (EC D141-D170-Y173-H335 1 Fe cation Catalytic 3.1.3.2 Extracellular No 3.1.3.2) (Purple acid space phosphatase long form) 4 Q96SZ5 AEDO_HUMAN ADO C10orf22 2-aminoethanethiol dioxygenase H112-H114-H193 1 Fe cation Catalytic 1.13.11.19 Unknown No oxidation-reduction process [GO:0055114]; sulfur amino acid catabolic process (EC 1.13.11.19) (Cysteamine -
The Roles of Mitochondria-Associated Membranes in Mitochondrial Quality Control Under Endoplasmic Reticulum Stress
Life Sciences 231 (2019) 116587 Contents lists available at ScienceDirect Life Sciences journal homepage: www.elsevier.com/locate/lifescie Review article The roles of mitochondria-associated membranes in mitochondrial quality control under endoplasmic reticulum stress T ⁎ ⁎⁎ Beiwu Lana, Yichun Hea, Hongyu Sunb, Xinzi Zhengb, Yufei Gaoa, ,NaLib, a Department of Neurosurgery, China-Japan Union Hospital, Jilin University, Changchun, Jilin, China b Department of Pathophysiology, Key Laboratory of Pathobiology, Ministry of Education, College of Basic Medical Sciences, Jilin University, Changchun, Jilin, China ARTICLE INFO ABSTRACT Keywords: The endoplasmic reticulum (ER) and mitochondria are two important organelles in cells. Mitochondria-asso- Endoplasmic reticulum stress ciated membranes (MAMs) are lipid raft-like domains formed in the ER membranes that are in close apposition Mitochondrial quality control to mitochondria. They play an important role in signal transmission between these two essential organelles. Mitochondria associated membranes When cells are exposed to internal or external stressful stimuli, the ER will activate an adaptive response called Ca2+ the ER stress response, which has a significant effect on mitochondrial function. Mitochondrial quality control is an important mechanism to ensure the functional integrity of mitochondria and the effect of ER stress on mi- tochondrial quality control through MAMs is of great significance. Therefore, in this review, we introduce ER stress and mitochondrial quality control, and discuss -
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