Genome-Wide Survey Implicates the Influence of Copy Number
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Gene Regulation and Speciation in House Mice
Downloaded from genome.cshlp.org on September 26, 2021 - Published by Cold Spring Harbor Laboratory Press Research Gene regulation and speciation in house mice Katya L. Mack,1 Polly Campbell,2 and Michael W. Nachman1 1Museum of Vertebrate Zoology and Department of Integrative Biology, University of California, Berkeley, California 94720-3160, USA; 2Department of Integrative Biology, Oklahoma State University, Stillwater, Oklahoma 74078, USA One approach to understanding the process of speciation is to characterize the genetic architecture of post-zygotic isolation. As gene regulation requires interactions between loci, negative epistatic interactions between divergent regulatory elements might underlie hybrid incompatibilities and contribute to reproductive isolation. Here, we take advantage of a cross between house mouse subspecies, where hybrid dysfunction is largely unidirectional, to test several key predictions about regulatory divergence and reproductive isolation. Regulatory divergence between Mus musculus musculus and M. m. domesticus was charac- terized by studying allele-specific expression in fertile hybrid males using mRNA-sequencing of whole testes. We found ex- tensive regulatory divergence between M. m. musculus and M. m. domesticus, largely attributable to cis-regulatory changes. When both cis and trans changes occurred, they were observed in opposition much more often than expected under a neutral model, providing strong evidence of widespread compensatory evolution. We also found evidence for lineage-specific positive se- lection on a subset of genes related to transcriptional regulation. Comparisons of fertile and sterile hybrid males identified a set of genes that were uniquely misexpressed in sterile individuals. Lastly, we discovered a nonrandom association between these genes and genes showing evidence of compensatory evolution, consistent with the idea that regulatory interactions might contribute to Dobzhansky-Muller incompatibilities and be important in speciation. -
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). -
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. -
Noninvasive Sleep Monitoring in Large-Scale Screening of Knock-Out Mice
bioRxiv preprint doi: https://doi.org/10.1101/517680; this version posted January 11, 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. Noninvasive sleep monitoring in large-scale screening of knock-out mice reveals novel sleep-related genes Shreyas S. Joshi1*, Mansi Sethi1*, Martin Striz1, Neil Cole2, James M. Denegre2, Jennifer Ryan2, Michael E. Lhamon3, Anuj Agarwal3, Steve Murray2, Robert E. Braun2, David W. Fardo4, Vivek Kumar2, Kevin D. Donohue3,5, Sridhar Sunderam6, Elissa J. Chesler2, Karen L. Svenson2, Bruce F. O'Hara1,3 1Dept. of Biology, University of Kentucky, Lexington, KY 40506, USA, 2The Jackson Laboratory, Bar Harbor, ME 04609, USA, 3Signal solutions, LLC, Lexington, KY 40503, USA, 4Dept. of Biostatistics, University of Kentucky, Lexington, KY 40536, USA, 5Dept. of Electrical and Computer Engineering, University of Kentucky, Lexington, KY 40506, USA. 6Dept. of Biomedical Engineering, University of Kentucky, Lexington, KY 40506, USA. *These authors contributed equally Address for correspondence and proofs: Shreyas S. Joshi, Ph.D. Dept. of Biology University of Kentucky 675 Rose Street 101 Morgan Building Lexington, KY 40506 U.S.A. Phone: (859) 257-2805 FAX: (859) 257-1717 Email: [email protected] Running title: Sleep changes in knockout mice bioRxiv preprint doi: https://doi.org/10.1101/517680; this version posted January 11, 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. -
Loss of the Tumor Suppressor Spinophilin (PPP1R9B) Increases the Cancer Stem Cell Population in Breast Tumors
Oncogene (2016) 35, 2777–2788 © 2016 Macmillan Publishers Limited All rights reserved 0950-9232/16 www.nature.com/onc ORIGINAL ARTICLE Loss of the tumor suppressor spinophilin (PPP1R9B) increases the cancer stem cell population in breast tumors I Ferrer1, EM Verdugo-Sivianes1, MA Castilla1, R Melendez1, JJ Marin1,2, S Muñoz-Galvan1, JL Lopez-Guerra3, B Vieites4, MJ Ortiz-Gordillo3, JM De León5, JM Praena-Fernandez6, M Perez1, J Palacios7 and A Carnero1,8 The spinophilin (Spn, PPP1R9B) gene is located at 17q21.33, a region frequently associated with microsatellite instability and loss of heterozygosity, especially in breast tumors. Spn is a regulatory subunit of phosphatase1a (PP1), which targets the catalytic subunit to distinct subcellular locations. Spn downregulation reduces PPP1CA activity against the retinoblastoma protein, pRb, thereby maintaining higher levels of phosphorylated pRb. This effect contributes to an increase in the tumorigenic properties of cells in certain contexts. Here, we explored the mechanism of how Spn downregulation contributes to the malignant phenotype and poor prognosis in breast tumors and found an increase in the stemness phenotype. Analysis of human breast tumors showed that Spn mRNA and protein are reduced or lost in 15% of carcinomas, correlating with a worse prognosis, a more aggressive tumor phenotype and triple-negative tumors, whereas luminal tumors showed high Spn levels. Downregulation of Spn by shRNA increased the stemness properties along with the expression of stem-related genes (Sox2, KLF4, Nanog and OCT4), whereas ectopic overexpression of Spn cDNA reduced these properties. Breast tumor stem cells appeared to have low levels of Spn mRNA, and Spn loss correlated with increased stem-like cell appearance in breast tumors as indicated by an increase in CD44+/CD24- cells. -
Spinophilin-Dependent Regulation of The
SPINOPHILIN-DEPENDENT REGULATION OF THE PHOSPHORYLATION, PROTEIN INTERACTIONS, AND FUNCTION OF THE GLUN2B SUBUNIT OF THE NMDAR AND ITS IMPLICATIONS IN NEURONAL CELL DEATH by Asma Beiraghi Salek A Dissertation Submitted to the Faculty of Purdue University In Partial Fulfillment of the Requirements for the degree of Doctor of Philosophy Department of Biology at IUPUI Indianapolis, Indiana December 2020 THE PURDUE UNIVERSITY GRADUATE SCHOOL STATEMENT OF COMMITTEE APPROVAL Dr. AJ Baucum II, Chair Department of Biology Dr. Theodore Cummins Department of Biology Dr. Nicolas Berbari Department of Biology Dr. Yvonne Lai Department of Psychological and Brain Sciences Dr. Andy Hudmon Department of Medicinal Chemistry and Molecular Pharmacology Dr. Jason Meyer Department of Medical and Molecular Genetics Approved by: Dr. Theodore Cummins 2 �ﻮ � ﻮ �ای ﻣﺎ� و �ﺪر و �ای روز� �ﺨﺎ�� ��ﻖ و �ﻤﺎی� ﮫﺎی �ﯽ ��ﻎ و �ﺨﺎ�� � ﻮدﺷﺎن �� �� � ﺧﺎ�ﻢ �ﺸﺎش ﻌ�ﻢ ��� م �ﻪ ﺑﺎ ��ﺮ و ا�تﯿﺎق و �ایت � ﮑﺎو�ﻢ �ای ﻋ�ﻮم ز �ﯽ را �ورا�ﺪ �� و د��ﺮ �ع�� و�ﻦ ��ﺖ �ﻪ ﺑﺎ �ﺮا�ت و دا�ﺶ و �ﮔﺎ�ﯽ �ﻌ� ﻪ ��ﻘﺎت ���و ا�ﺼﺎب را � ذ��ﻢ �ا��و�ﺖ 3 ا�ﺮار ازل را � �ﻮ دا�ﯽ و � �ﻦ � و�ﻦ ﻞ ��ﻤﺎ � �ﻮ �ﻮا�ﯽ و � �ﻦ �� �سﺖ �ز �ﺲ �ده ��ﻮی �ﻦ و � ﻮ �ﻮن �ده �ا��ﺪ � �ﻮ ﻣﺎ�ﯽ و � �ﻦ ﺣ��ﻢ ��� �ﯿﺎم 4 If you keep knocking on a door long enough, sooner or later someone will answer you. 5 ACKNOWLEDGMENTS I would like to acknowledge Dr. A.J. -
Identification of Novel Sleep Related Genes from Large Scale Phenotyping Experiments in Mice
University of Kentucky UKnowledge Theses and Dissertations--Biology Biology 2017 IDENTIFICATION OF NOVEL SLEEP RELATED GENES FROM LARGE SCALE PHENOTYPING EXPERIMENTS IN MICE Shreyas Joshi University of Kentucky, [email protected] Digital Object Identifier: https://doi.org/10.13023/ETD.2017.159 Right click to open a feedback form in a new tab to let us know how this document benefits ou.y Recommended Citation Joshi, Shreyas, "IDENTIFICATION OF NOVEL SLEEP RELATED GENES FROM LARGE SCALE PHENOTYPING EXPERIMENTS IN MICE" (2017). Theses and Dissertations--Biology. 42. https://uknowledge.uky.edu/biology_etds/42 This Doctoral Dissertation is brought to you for free and open access by the Biology at UKnowledge. It has been accepted for inclusion in Theses and Dissertations--Biology by an authorized administrator of UKnowledge. For more information, please contact [email protected]. STUDENT AGREEMENT: I represent that my thesis or dissertation and abstract are my original work. Proper attribution has been given to all outside sources. I understand that I am solely responsible for obtaining any needed copyright permissions. I have obtained needed written permission statement(s) from the owner(s) of each third-party copyrighted matter to be included in my work, allowing electronic distribution (if such use is not permitted by the fair use doctrine) which will be submitted to UKnowledge as Additional File. I hereby grant to The University of Kentucky and its agents the irrevocable, non-exclusive, and royalty-free license to archive and make accessible my work in whole or in part in all forms of media, now or hereafter known. -
Protein Interactions in the Cancer Proteome† Cite This: Mol
Molecular BioSystems View Article Online PAPER View Journal | View Issue Small-molecule binding sites to explore protein– protein interactions in the cancer proteome† Cite this: Mol. BioSyst., 2016, 12,3067 David Xu,ab Shadia I. Jalal,c George W. Sledge Jr.d and Samy O. Meroueh*aef The Cancer Genome Atlas (TCGA) offers an unprecedented opportunity to identify small-molecule binding sites on proteins with overexpressed mRNA levels that correlate with poor survival. Here, we analyze RNA-seq and clinical data for 10 tumor types to identify genes that are both overexpressed and correlate with patient survival. Protein products of these genes were scanned for binding sites that possess shape and physicochemical properties that can accommodate small-molecule probes or therapeutic agents (druggable). These binding sites were classified as enzyme active sites (ENZ), protein–protein interaction sites (PPI), or other sites whose function is unknown (OTH). Interestingly, the overwhelming majority of binding sites were classified as OTH. We find that ENZ, PPI, and OTH binding sites often occurred on the same structure suggesting that many of these OTH cavities can be used for allosteric modulation of Creative Commons Attribution 3.0 Unported Licence. enzyme activity or protein–protein interactions with small molecules. We discovered several ENZ (PYCR1, QPRT,andHSPA6)andPPI(CASC5, ZBTB32,andCSAD) binding sites on proteins that have been seldom explored in cancer. We also found proteins that have been extensively studied in cancer that have not been previously explored with small molecules that harbor ENZ (PKMYT1, STEAP3,andNNMT) and PPI (HNF4A, MEF2B,andCBX2) binding sites. All binding sites were classified by the signaling pathways to Received 29th March 2016, which the protein that harbors them belongs using KEGG. -
BRAF-MAD1L1 and BRAF-ZC3H7A: Novel Gene Fusion in Rhabdomyosarcoma and Lung Adenocarcinoma
Case report: BRAF-MAD1L1 and BRAF-ZC3H7A: novel gene fusion in Rhabdomyosarcoma and Lung adenocarcinoma Da Jiang Fourth Hospital of Heibei Medical University Hui Jin Fourth Hospital of Heibei Medical University Xinliang Zhou Fourth Hospital of Heibei Medical University Shaoshuang Fan Fourth Hospital of Heibei Medical University Mengping Lei Origimed Mian Xu Origimed Xiaoyan Chen ( [email protected] ) The Hospital of Shunyi District Beijing Case Report Keywords: novel gene fusion, BRAF-MAD1L1, BRAF-ZC3H7A, Rhabdomyosarcoma, Lung adenocarcinoma Posted Date: August 26th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-58002/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/13 Abstract Background Rhabdomyosarcoma (RMS) and lung adenocarcinoma (LADC) epitomizes the success of cancer prevention by the development of conventional therapy, but huge challenges remain in the therapy of advanced diseases. Case presentation We reported two cases of novel BRAF gene fusion. The rst case was a 34-year-old female with RMS harboring a BRAF-MAD1L1 fusion. She suffered tumor resection, recurrence and rapid progression. The second case was a 72-year-old female with LADC harboring a BRAF-ZC3H7A fusion, and she gained rapid progression after receiving a rst-line course of chemotherapy. Conclusions These two BRAF fusions retain the intact BRAF kinase domain (exon 11-18) and showed poor prognosis in RMS and LADC. Background Rhabdomyosarcoma (RMS) is an aggressive malignancy of soft-tissue in children and adolescents (1). There are 4.5 cases per 1 million in children per year and it accounts for 4–5% of all childhood malignancies (2). -
NATURAL KILLER CELLS, HYPOXIA, and EPIGENETIC REGULATION of HEMOCHORIAL PLACENTATION by Damayanti Chakraborty Submitted to the G
NATURAL KILLER CELLS, HYPOXIA, AND EPIGENETIC REGULATION OF HEMOCHORIAL PLACENTATION BY Damayanti Chakraborty Submitted to the graduate degree program in Pathology and Laboratory Medicine and the Graduate Faculty of the University of Kansas in partial fulfillment ofthe requirements for the degree of Doctor of Philosophy. ________________________________ Chair: Michael J. Soares, Ph.D. ________________________________ Jay Vivian, Ph.D. ________________________________ Patrick Fields, Ph.D. ________________________________ Soumen Paul, Ph.D. ________________________________ Michael Wolfe, Ph.D. ________________________________ Adam J. Krieg, Ph.D. Date Defended: 04/01/2013 The Dissertation Committee for Damayanti Chakraborty certifies that this is the approved version of the following dissertation: NATURAL KILLER CELLS, HYPOXIA, AND EPIGENETIC REGULATION OF HEMOCHORIAL PLACENTATION ________________________________ Chair: Michael J. Soares, Ph.D. Date approved: 04/01/2013 ii ABSTRACT During the establishment of pregnancy, uterine stromal cells differentiate into decidual cells and recruit natural killer (NK) cells. These NK cells are characterized by low cytotoxicity and distinct cytokine production. In rodent as well as in human pregnancy, the uterine NK cells peak in number around mid-gestation after which they decline. NK cells associate with uterine spiral arteries and are implicated in pregnancy associated vascular remodeling processes and potentially in modulating trophoblast invasion. Failure of trophoblast invasion and vascular remodeling has been shown to be associated with pathological conditions like preeclampsia syndrome, hypertension in mother and/or fetal growth restriction. We hypothesize that NK cells fundamentally contribute to the organization of the placentation site. In order to study the in vivo role of NK cells during pregnancy, gestation stage- specific NK cell depletion was performed in rats using anti asialo GM1 antibodies. -
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