Refinement of the Critical Genomic Region for Congenital Hyperinsulinism in the Chromosome 9P Deletion Syndrome [Version 2; Peer Review: 3 Approved]
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Enhancer-Targeted Genome Editing Selectively Blocks Innate Resistance to Oncokinase Inhibition
Downloaded from genome.cshlp.org on September 26, 2021 - Published by Cold Spring Harbor Laboratory Press Webster et al. Enhancer-targeted genome editing selectively blocks innate resistance to oncokinase inhibition Dan E. Webster1, Brook Barajas1*, Rose T. Bussat1*, Karen J. Yan1, Poornima H. Neela1, Ross J. Flockhart1, Joanna Kovalski1, Ashley Zehnder1, and Paul A. Khavari1, ¶ 1The Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305 USA *These authors made equal and independent contributions. ¶ Correspondence to: P.A.K. at [email protected] Running title: Enhancer disruption blocks oncokinase resistance Keywords: Cancer Epigenomics, Enhancer, TALE nuclease, Chromosome conformation, BRAF, MITF Downloaded from genome.cshlp.org on September 26, 2021 - Published by Cold Spring Harbor Laboratory Press ABSTRACT Thousands of putative enhancers are characterized in the human genome, yet few have been shown to have a functional role in cancer progression. Inhibiting oncokinases, such as EGFR, ALK, ERBB2, and BRAF, is a mainstay of current cancer therapy but is hindered by innate drug resistance mediated by upregulation of the HGF receptor, MET. The mechanisms mediating such genomic responses to targeted therapy are unknown. Here, we identify lineage- specific enhancers at the MET locus for multiple common tumor types, including a melanoma lineage-specific enhancer 63kb downstream of the MET TSS. This enhancer displays inducible chromatin looping with the MET promoter to upregulate MET expression upon BRAF inhibition. Epigenomic analysis demonstrated that the melanocyte-specific transcription factor, MITF, mediates this enhancer function. Targeted genomic deletion (<7bp) of the MITF motif within the MET enhancer suppressed inducible chromatin looping and innate drug resistance, while maintaining MITF-dependent, inhibitor-induced melanoma cell differentiation. -
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. -
Cell-Type–Specific Eqtl of Primary Melanocytes Facilitates Identification of Melanoma Susceptibility Genes
Downloaded from genome.cshlp.org on November 19, 2018 - Published by Cold Spring Harbor Laboratory Press Research Cell-type–specific eQTL of primary melanocytes facilitates identification of melanoma susceptibility genes Tongwu Zhang,1,7 Jiyeon Choi,1,7 Michael A. Kovacs,1 Jianxin Shi,2 Mai Xu,1 NISC Comparative Sequencing Program,9 Melanoma Meta-Analysis Consortium,10 Alisa M. Goldstein,3 Adam J. Trower,4 D. Timothy Bishop,4 Mark M. Iles,4 David L. Duffy,5 Stuart MacGregor,5 Laufey T. Amundadottir,1 Matthew H. Law,5 Stacie K. Loftus,6 William J. Pavan,6,8 and Kevin M. Brown1,8 1Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA; 2Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA; 3Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA; 4Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, LS9 7TF, United Kingdom; 5Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, 4006, Australia; 6Genetic Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA Most expression quantitative trait locus (eQTL) studies to date have been performed in heterogeneous tissues as opposed to specific cell types. To better understand the cell-type–specific regulatory landscape of human melanocytes, which give rise to melanoma but account for <5% of typical human skin biopsies, we performed an eQTL analysis in primary melanocyte cul- tures from 106 newborn males. -
Supplementary Materials
Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine -
Crystal Structure of the Gamma-2 Herpesvirus LANA DNA Binding Domain Identifies Charged Surface Residues Which Impact Viral Latency
Crystal Structure of the Gamma-2 Herpesvirus LANA DNA Binding Domain Identifies Charged Surface Residues Which Impact Viral Latency The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Correia, B., S. A. Cerqueira, C. Beauchemin, M. Pires de Miranda, S. Li, R. Ponnusamy, L. Rodrigues, et al. 2013. “Crystal Structure of the Gamma-2 Herpesvirus LANA DNA Binding Domain Identifies Charged Surface Residues Which Impact Viral Latency.” PLoS Pathogens 9 (10): e1003673. doi:10.1371/journal.ppat.1003673. http://dx.doi.org/10.1371/journal.ppat.1003673. Published Version doi:10.1371/journal.ppat.1003673 Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:11878899 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA Crystal Structure of the Gamma-2 Herpesvirus LANA DNA Binding Domain Identifies Charged Surface Residues Which Impact Viral Latency Bruno Correia1., Sofia A. Cerqueira2., Chantal Beauchemin3, Marta Pires de Miranda2, Shijun Li3, Rajesh Ponnusamy1,Le´nia Rodrigues2, Thomas R. Schneider4, Maria A. Carrondo1*, Kenneth M. Kaye3*, J. Pedro Simas2*, Colin E. McVey1* 1 Instituto de Tecnologia Quı´mica e Biolo´gica, Universidade Nova de Lisboa, Oeiras, Portugal, 2 Instituto de Microbiologia e Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal, 3 Departments of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America, 4 EMBL c/o DESY, Hamburg, Germany Abstract Latency-associated nuclear antigen (LANA) mediates c2-herpesvirus genome persistence and regulates transcription. -
Microarray Analysis of Novel Genes Involved in HSV- 2 Infection
Microarray analysis of novel genes involved in HSV- 2 infection Hao Zhang Nanjing University of Chinese Medicine Tao Liu ( [email protected] ) Nanjing University of Chinese Medicine https://orcid.org/0000-0002-7654-2995 Research Article Keywords: HSV-2 infection,Microarray analysis,Histospecic gene expression Posted Date: May 12th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-517057/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/19 Abstract Background: Herpes simplex virus type 2 infects the body and becomes an incurable and recurring disease. The pathogenesis of HSV-2 infection is not completely clear. Methods: We analyze the GSE18527 dataset in the GEO database in this paper to obtain distinctively displayed genes(DDGs)in the total sequential RNA of the biopsies of normal and lesioned skin groups, healed skin and lesioned skin groups of genital herpes patients, respectively.The related data of 3 cases of normal skin group, 4 cases of lesioned group and 6 cases of healed group were analyzed.The histospecic gene analysis , functional enrichment and protein interaction network analysis of the differential genes were also performed, and the critical components were selected. Results: 40 up-regulated genes and 43 down-regulated genes were isolated by differential performance assay. Histospecic gene analysis of DDGs suggested that the most abundant system for gene expression was the skin, immune system and the nervous system.Through the construction of core gene combinations, protein interaction network analysis and selection of histospecic distribution genes, 17 associated genes were selected CXCL10,MX1,ISG15,IFIT1,IFIT3,IFIT2,OASL,ISG20,RSAD2,GBP1,IFI44L,DDX58,USP18,CXCL11,GBP5,GBP4 and CXCL9.The above genes are mainly located in the skin, immune system, nervous system and reproductive system. -
Exploring the Relationship Between Gut Microbiota and Major Depressive Disorders
E3S Web of Conferences 271, 03055 (2021) https://doi.org/10.1051/e3sconf/202127103055 ICEPE 2021 Exploring the Relationship between Gut Microbiota and Major Depressive Disorders Catherine Tian1 1Shanghai American School, Shanghai, China Abstract. Major Depressive Disorder (MDD) is a psychiatric disorder accompanied with a high rate of suicide, morbidity and mortality. With the symptom of an increasing or decreasing appetite, there is a possibility that MDD may have certain connections with gut microbiota, the colonies of microbes which reside in the human digestive system. In recent years, more and more studies started to demonstrate the links between MDD and gut microbiota from animal disease models and human metabolism studies. However, this relationship is still largely understudied, but it is very innovative since functional dissection of this relationship would furnish a new train of thought for more effective treatment of MDD. In this study, by using multiple genetic analytic tools including Allen Brain Atlas, genetic function analytical tools, and MicrobiomeAnalyst, I explored the genes that shows both expression in the brain and the digestive system to affirm that there is a connection between gut microbiota and the MDD. My approach finally identified 7 MDD genes likely to be associated with gut microbiota, implicating 3 molecular pathways: (1) Wnt Signaling, (2) citric acid cycle in the aerobic respiration, and (3) extracellular exosome signaling. These findings may shed light on new directions to understand the mechanism of MDD, potentially facilitating the development of probiotics for better psychiatric disorder treatment. 1 Introduction 1.1 Major Depressive Disorder Major Depressive Disorder (MDD) is a mood disorder that will affect the mood, behavior and other physical parts. -
Melan-A Antibody [MLANA/788] Cat
Melan-A Antibody [MLANA/788] Cat. No.: 33-360 Melan-A Antibody [MLANA/788] Formalin-fixed, paraffin-embedded human melanoma stained with Melan-A antibody (MLANA/788). Specifications HOST SPECIES: Mouse SPECIES REACTIVITY: Dog, Human, Mouse, Rat Recombinant human MLANA protein was used as the immunogen for the Melan-A IMMUNOGEN: antibody. TESTED APPLICATIONS: Flow, IF, IHC-P, WB September 26, 2021 1 https://www.prosci-inc.com/melan-a-antibody-mlana-788-33-360.html Flow Cytometry: 0.5-1 ug/million cells in 0.1ml Immunofluorescence: 0.5-1 ug/ml Immunohistochemistry (FFPE): 0.5-1 ug/ml for 30 min at RT (1) Western blot: 0.5-1 ug/ml APPLICATIONS: Prediluted format : incubate for 30 min at RT (2) Optimal dilution of the Melan-A antibody should be determined by the researcher. 1. Staining of formalin-fixed tissues is enhanced by boiling tissue sections in 10mM Citrate buffer, pH 6.0, for 10-20 min followed by cooling at RT for 20 minutes 2. The prediluted format is supplied in a dropper bottle and is optimized for use in IHC. After epitope retrieval step (if required), drip mAb solution onto the tissue section and incubate at RT for 30 min. Properties PURIFICATION: Protein G affinity chromatography CLONALITY: Monoclonal ISOTYPE: IgG1 CONJUGATE: Unconjugated PHYSICAL STATE: Liquid BUFFER: PBS with 0.1 mg/ml BSA and 0.05% sodium azide CONCENTRATION: 0.2 mg/mL STORAGE CONDITIONS: Aliquot and Store at 2-8˚C. Avoid freez-thaw cycles. Additional Info OFFICIAL SYMBOL: MLANA ALTERNATE NAMES: MLANA, Antigen LB39-AA, Antigen SK29-AA, Melan-A, Protein Melan-A, MART-1, MART1 GENE ID: 2315 USER NOTE: Optimal dilutions for each application to be determined by the researcher Background and References This antibody recognizes a protein doublet of 20-22kDa, identified as MART-1 (Melanoma Antigen Recognized by T cells 1) or Melan-A. -
Prospective Diagnostic Analysis of Copy Number Variants Using SNP Microarrays in Individuals with Autism Spectrum Disorders
European Journal of Human Genetics (2013), 1–8 & 2013 Macmillan Publishers Limited All rights reserved 1018-4813/13 www.nature.com/ejhg ARTICLE Prospective diagnostic analysis of copy number variants using SNP microarrays in individuals with autism spectrum disorders Caroline Nava1,2,3,4,19, Boris Keren5,19, Cyril Mignot4,6,7,8, Agne`s Rastetter1,2,3, Sandra Chantot-Bastaraud9, Anne Faudet4, Eric Fonteneau5, Claire Amiet10, Claudine Laurent1,2,10, Aure´lia Jacquette4,7,8, Sandra Whalen4, Alexandra Afenjar4,6,7,8,11, Didier Pe´risse10,12, Diane Doummar6, Nathalie Dorison6,11, Marion Leboyer13,14,15,16, Jean-Pierre Siffroi9, David Cohen10,17, Alexis Brice*,1,2,3,4,18, Delphine He´ron4,6,7,8 and Christel Depienne*,1,2,3,4,18 Copy number variants (CNVs) have repeatedly been found to cause or predispose to autism spectrum disorders (ASDs). For diagnostic purposes, we screened 194 individuals with ASDs for CNVs using Illumina SNP arrays. In several probands, we also analyzed candidate genes located in inherited deletions to unmask autosomal recessive variants. Three CNVs, a de novo triplication of chromosome 15q11–q12 of paternal origin, a deletion on chromosome 9p24 and a de novo 3q29 deletion, were identified as the cause of the disorder in one individual each. An autosomal recessive cause was considered possible in two patients: a homozygous 1p31.1 deletion encompassing PTGER3 and a deletion of the entire DOCK10 gene associated with a rare hemizygous missense variant. We also identified multiple private or recurrent CNVs, the majority of which were inherited from asymptomatic parents. Although highly penetrant CNVs or variants inherited in an autosomal recessive manner were detected in rare cases, our results mainly support the hypothesis that most CNVs contribute to ASDs in association with other CNVs or point variants located elsewhere in the genome. -
CBWD1 Mouse Monoclonal Antibody [Clone ID: OTI3F9] Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for CF501612 CBWD1 Mouse Monoclonal Antibody [Clone ID: OTI3F9] Product data: Product Type: Primary Antibodies Clone Name: OTI3F9 Applications: FC, IF, IHC, WB Recommended Dilution: WB 1:500~2000, IHC 1:150, IF 1:100, FLOW 1:100 Reactivity: Human Host: Mouse Isotype: IgG2b Clonality: Monoclonal Immunogen: Full length human recombinant protein of human CBWD1 (NP_060961) produced in HEK293T cell. Formulation: Lyophilized powder (original buffer 1X PBS, pH 7.3, 8% trehalose) Reconstitution Method: For reconstitution, we recommend adding 100uL distilled water to a final antibody concentration of about 1 mg/mL. To use this carrier-free antibody for conjugation experiment, we strongly recommend performing another round of desalting process. (OriGene recommends Zeba Spin Desalting Columns, 7KMWCO from Thermo Scientific) Purification: Purified from mouse ascites fluids or tissue culture supernatant by affinity chromatography (protein A/G) Conjugation: Unconjugated Storage: Store at -20°C as received. Stability: Stable for 12 months from date of receipt. Predicted Protein Size: 43.9 kDa Gene Name: Homo sapiens COBW domain containing 1 (CBWD1), transcript variant 1, mRNA. Database Link: NP_060961 Entrez Gene 55871 Human Q9BRT8 Synonyms: COBP This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 7 CBWD1 Mouse Monoclonal Antibody [Clone ID: OTI3F9] – CF501612 Product images: HEK293T cells were transfected with the pCMV6- ENTRY control (Cat# [PS100001], Left lane) or pCMV6-ENTRY CBWD1 (Cat# [RC222790], Right lane) cDNA for 48 hrs and lysed. -
MART-1 / Melan-A / MLANA (Melanoma Marker); Clone A103 (Concentrate)
Nordic BioSite AB Propellervägen 4A, 183 62 Täby, Sweden T +46 (0)8 544 433 40, F +46 (0)8 756 94 90 [email protected], www.nordicbiosite.com Org. No: 556539-9374, Residence: Täby MART-1 / Melan-A / MLANA (Melanoma Marker); Clone A103 (Concentrate) Availability/Contents: Item # Volume ASC-C4CC85 0.1 ml ASC-B12DCC 0.5 ml Description: Species: Mouse Immunogen: Recombinant hMART-1 protein Clone: A103 Isotype: IgG1, kappa Entrez Gene ID: 2315 (Human); 77836 (Mouse); 293890 (Rat) Chromosome Loc.: 9p24.1 Synonyms: Antigen LB39-AA, Antigen SK29-AA, Melanoma antigen recognized by T-cells 1, MLAN-A, MLANA Mol. Weight of Antigen: 20-22kDa (dimer) Format: 200µg/ml of Ab purified from Bioreactor Concentrate by Protein A/G. Prepared in 10mM PBS with 0.05% BSA & 0.05% azide. Background: MART-1 is a newly identified melanocyte differentiation antigen recognized by autologous cytotoxic T-lymphocytes. Seven other melanoma associated antigens recognized by autologous cytotoxic T-cells include MAGE-1, MAGE-3, tyrosinase, gp100, gp75, BAGE-1, and GAGE-1. Subcellular fractionation shows that MART-1 is present in melanosomes and endoplasmic reticulum. Species Reactivity: Human, Mouse, Rat and Dog. Others not tested Positive Control: SK-MEL-13 and SK-MEL-19 Melanoma cell lines, Melanomas Cellular Localization: Cytoplasmic Titer/ Working Dilution: Immunohistochemistry (Frozen and Formalin-fixed): 0.5-1 µg/ml Flow Cytometry: 0.5-1 µg/million cells Immunofluorescence: 0.5-1 µg/ml Western Blotting: 0.5-1 µg/ml Immunoprecipitation: 0.5-1 µg/500µg protein lysate 2 (3) Microbiological State: This product is not sterile. -
The Discovery of SWI/SNF Chromatin Remodeling Activity As a Novel And
Published OnlineFirst August 3, 2020; DOI: 10.1158/1535-7163.MCT-19-1013 MOLECULAR CANCER THERAPEUTICS | CANCER BIOLOGY AND TRANSLATIONAL STUDIES The Discovery of SWI/SNF Chromatin Remodeling Activity as a Novel and Targetable Dependency in Uveal Melanoma Florencia Rago1, GiNell Elliott1, Ailing Li1, Kathleen Sprouffske2, Grainne Kerr2, Aurore Desplat2, Dorothee Abramowski2, Julie T. Chen1, Ali Farsidjani1, Kay X. Xiang1, Geoffrey Bushold1, Yun Feng1, Matthew D. Shirley1, Anka Bric1, Anthony Vattay1, Henrik Mobitz€ 2, Katsumasa Nakajima1, Christopher D. Adair1, Simon Mathieu1, Rukundo Ntaganda1, Troy Smith1, Julien P.N. Papillon1, Audrey Kauffmann2, David A. Ruddy1, Hyo-eun C. Bhang1, Deborah Castelletti2, and Zainab Jagani1 ABSTRACT ◥ Uveal melanoma is a rare and aggressive cancer that originates screens and further validation in a panel of uveal melanoma cell in the eye. Currently, there are no approved targeted therapies lines using both genetic tools and small-molecule inhibitors of and very few effective treatments for this cancer. Although SWI/SNF. In addition, we describe a functional relationship activating mutations in the G protein alpha subunits, GNAQ between the SWI/SNF complex and the melanocyte lineage– and GNA11, are key genetic drivers of the disease, few additional specific transcription factor Microphthalmia-associated Tran- drug targets have been identified. Recently, studies have identi- scription Factor, suggesting that these two factors cooperate to fied context-specific roles for the mammalian SWI/SNF chro- drive a transcriptional program essential for uveal melanoma cell matin remodeling complexes (also known as BAF/PBAF) in survival. These studies highlight a critical role for SWI/SNF in various cancer lineages. Here, we find evidence that the SWI/ uveal melanoma, and demonstrate a novel path toward the SNF complex is essential through analysis of functional genomics treatment of this cancer.