Histone Acetylation and Histone Acetyltransferases Show Significant
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KAT6A Syndrome: Genotype-Phenotype Correlation in 76 Patients with Pathogenic KAT6A Variants
KAT6A Syndrome: genotype-phenotype correlation in 76 patients with pathogenic KAT6A variants. Item Type Article Authors Kennedy, Joanna;Goudie, David;Blair, Edward;Chandler, Kate;Joss, Shelagh;McKay, Victoria;Green, Andrew;Armstrong, Ruth;Lees, Melissa;Kamien, Benjamin;Hopper, Bruce;Tan, Tiong Yang;Yap, Patrick;Stark, Zornitza;Okamoto, Nobuhiko;Miyake, Noriko;Matsumoto, Naomichi;Macnamara, Ellen;Murphy, Jennifer L;McCormick, Elizabeth;Hakonarson, Hakon;Falk, Marni J;Li, Dong;Blackburn, Patrick;Klee, Eric;Babovic- Vuksanovic, Dusica;Schelley, Susan;Hudgins, Louanne;Kant, Sarina;Isidor, Bertrand;Cogne, Benjamin;Bradbury, Kimberley;Williams, Mark;Patel, Chirag;Heussler, Helen;Duff- Farrier, Celia;Lakeman, Phillis;Scurr, Ingrid;Kini, Usha;Elting, Mariet;Reijnders, Margot;Schuurs-Hoeijmakers, Janneke;Wafik, Mohamed;Blomhoff, Anne;Ruivenkamp, Claudia A L;Nibbeling, Esther;Dingemans, Alexander J M;Douine, Emilie D;Nelson, Stanley F;Arboleda, Valerie A;Newbury-Ecob, Ruth DOI 10.1038/s41436-018-0259-2 Journal Genetics in medicine : official journal of the American College of Medical Genetics Download date 30/09/2021 21:53:13 Link to Item http://hdl.handle.net/10147/627191 Find this and similar works at - http://www.lenus.ie/hse HHS Public Access Author manuscript Author ManuscriptAuthor Manuscript Author Genet Med Manuscript Author . Author manuscript; Manuscript Author available in PMC 2019 October 01. Published in final edited form as: Genet Med. 2019 April ; 21(4): 850–860. doi:10.1038/s41436-018-0259-2. KAT6A Syndrome: Genotype-phenotype correlation in 76 patients with pathogenic KAT6A variants A full list of authors and affiliations appears at the end of the article. Abstract Purpose: Mutations in KAT6A have recently been identified as a cause of syndromic developmental delay. -
ONCOPANEL (Popv3)
ONCOPANEL (POPv3) TEST INFORMATION BACKGROUND: Somatic genetic alterations in oncogenes and tumor-suppressor genes contribute to the pathogenesis and evolution of human cancers. These alterations can provide prognostic and predictive information and stratify cancers for targeted therapeutic information. We classify these alterations into five tiers using the following guidelines: Tier 1: The alteration has well-established published evidence confirming clinical utility in this tumor type, in at least one of the following contexts: predicting response to treatment with an FDA-approved therapy; assessing prognosis; establishing a definitive diagnosis; or conferring an inherited increased risk of cancer to this patient and family. Tier 2: The alteration may have clinical utility in at least one of the following contexts: selection of an investigational therapy in clinical trials for this cancer type; limited evidence of prognostic association; supportive of a specific diagnosis; proven association of response to treatment with an FDA-approved therapy in a different type of cancer; or similar to a different mutation with a proven association with response to treatment with an FDA-approved therapyin this type of cancer. Tier 3: The alteration is of uncertain clinical utility, but may have a role as suggested by at least one of the following: demonstration of association with response to treatment in this cancer type in preclinical studies (e.g., in vitro studies or animal models); alteration in a biochemical pathway that has other known, therapeutically-targetable alterations; alteration in a highly conserved region of the protein predicted, in silico, to alter protein function; or selection of an investigational therapy for a different cancer type. -
KAT5 Promotes Invasion and Metastasis Through C-MYC Stabilization in ATC
26 1 Endocrine-Related X Wei, S Cai et al. KAT5 in anaplastic thyroid 26:1 141–151 Cancer carcinoma RESEARCH KAT5 promotes invasion and metastasis through C-MYC stabilization in ATC Xi Wei1,*, Shang Cai2,3,*, Rebecca J Boohaker2, Joshua Fried2, Ying Li4, Linfei Hu5, Yi Pan5, Ruifen Cheng5, Sheng Zhang1, Ye Tian3, Ming Gao5 and Bo Xu2,6 1Department of Diagnostic and Therapeutic Ultrasonography, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China 2Department of Oncology, Southern Research Institute and Cancer Cell Biology Program, the University of Alabama at Birmingham Comprehensive Cancer Center, Birmingham, Alabama, USA 3Department of Radiotherapy and Oncology, the Second Affiliated Hospital ofoochow S University, Suzhou, China 4The Third Department of Breast Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China 5Department of Thyroid Tumor, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China 6Department of Molecular Radiation Oncology, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center of Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China Correspondence should be addressed to B Xu or M Gao: [email protected] or [email protected] or [email protected] *(X Wei and S Cai contributed equally to this work) Abstract Anaplastic thyroid cancer (ATC) is an aggressive cancer with poor clinical prognosis. Key Words However, mechanisms driving ATC aggressiveness is not well known. -
4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
Methods Mice: 4-6 weeks old female C57BL/6 mice obtained from Jackson labs were used for cell isolation. Female Foxp3-IRES-GFP reporter mice (1), backcrossed to B6/C57 background for 10 generations, were used for the isolation of naïve CD4 and naïve CD8 cells for the RNAseq experiments. The mice were housed in pathogen-free animal facility in the La Jolla Institute for Allergy and Immunology and were used according to protocols approved by the Institutional Animal Care and use Committee. Preparation of cells: Subsets of thymocytes were isolated by cell sorting as previously described (2), after cell surface staining using CD4 (GK1.5), CD8 (53-6.7), CD3ε (145- 2C11), CD24 (M1/69) (all from Biolegend). DP cells: CD4+CD8 int/hi; CD4 SP cells: CD4CD3 hi, CD24 int/lo; CD8 SP cells: CD8 int/hi CD4 CD3 hi, CD24 int/lo (Fig S2). Peripheral subsets were isolated after pooling spleen and lymph nodes. T cells were enriched by negative isolation using Dynabeads (Dynabeads untouched mouse T cells, 11413D, Invitrogen). After surface staining for CD4 (GK1.5), CD8 (53-6.7), CD62L (MEL-14), CD25 (PC61) and CD44 (IM7), naïve CD4+CD62L hiCD25-CD44lo and naïve CD8+CD62L hiCD25-CD44lo were obtained by sorting (BD FACS Aria). Additionally, for the RNAseq experiments, CD4 and CD8 naïve cells were isolated by sorting T cells from the Foxp3- IRES-GFP mice: CD4+CD62LhiCD25–CD44lo GFP(FOXP3)– and CD8+CD62LhiCD25– CD44lo GFP(FOXP3)– (antibodies were from Biolegend). In some cases, naïve CD4 cells were cultured in vitro under Th1 or Th2 polarizing conditions (3, 4). -
KAT5 Acetylates Cgas to Promote Innate Immune Response to DNA Virus
KAT5 acetylates cGAS to promote innate immune response to DNA virus Ze-Min Songa, Heng Lina, Xue-Mei Yia, Wei Guoa, Ming-Ming Hua, and Hong-Bing Shua,1 aDepartment of Infectious Diseases, Zhongnan Hospital of Wuhan University, Frontier Science Center for Immunology and Metabolism, Medical Research Institute, Wuhan University, 430071 Wuhan, China Edited by Adolfo Garcia-Sastre, Icahn School of Medicine at Mount Sinai, New York, NY, and approved July 30, 2020 (received for review December 19, 2019) The DNA sensor cGMP-AMP synthase (cGAS) senses cytosolic mi- suppress its enzymatic activity (15). It has also been shown that crobial or self DNA to initiate a MITA/STING-dependent innate im- the NUD of cGAS is critically involved in its optimal DNA- mune response. cGAS is regulated by various posttranslational binding (16), phase-separation (7), and subcellular locations modifications at its C-terminal catalytic domain. Whether and (17). However, whether and how the NUD of cGAS is regulated how its N-terminal unstructured domain is regulated by posttrans- remains unknown. lational modifications remain unknown. We identified the acetyl- The lysine acetyltransferase 5 (KAT5) is a catalytic subunit of transferase KAT5 as a positive regulator of cGAS-mediated innate the highly conserved NuA4 acetyltransferase complex, which immune signaling. Overexpression of KAT5 potentiated viral- plays critical roles in DNA damage repair, p53-mediated apo- DNA–triggered transcription of downstream antiviral genes, whereas ptosis, HIV-1 transcription, and autophagy (18–21). Although a KAT5 deficiency had the opposite effects. Mice with inactivated KAT5 has been investigated mostly as a transcriptional regula- Kat5 exhibited lower levels of serum cytokines in response to DNA tor, there is increasing evidence that KAT5 also acts as a key virus infection, higher viral titers in the brains, and more susceptibility regulator in signal transduction pathways by targeting nonhis- to DNA-virus–induced death. -
Atrazine and Cell Death Symbol Synonym(S)
Supplementary Table S1: Atrazine and Cell Death Symbol Synonym(s) Entrez Gene Name Location Family AR AIS, Andr, androgen receptor androgen receptor Nucleus ligand- dependent nuclear receptor atrazine 1,3,5-triazine-2,4-diamine Other chemical toxicant beta-estradiol (8R,9S,13S,14S,17S)-13-methyl- Other chemical - 6,7,8,9,11,12,14,15,16,17- endogenous decahydrocyclopenta[a]phenanthrene- mammalian 3,17-diol CGB (includes beta HCG5, CGB3, CGB5, CGB7, chorionic gonadotropin, beta Extracellular other others) CGB8, chorionic gonadotropin polypeptide Space CLEC11A AW457320, C-type lectin domain C-type lectin domain family 11, Extracellular growth factor family 11, member A, STEM CELL member A Space GROWTH FACTOR CYP11A1 CHOLESTEROL SIDE-CHAIN cytochrome P450, family 11, Cytoplasm enzyme CLEAVAGE ENZYME subfamily A, polypeptide 1 CYP19A1 Ar, ArKO, ARO, ARO1, Aromatase cytochrome P450, family 19, Cytoplasm enzyme subfamily A, polypeptide 1 ESR1 AA420328, Alpha estrogen receptor,(α) estrogen receptor 1 Nucleus ligand- dependent nuclear receptor estrogen C18 steroids, oestrogen Other chemical drug estrogen receptor ER, ESR, ESR1/2, esr1/esr2 Nucleus group estrone (8R,9S,13S,14S)-3-hydroxy-13-methyl- Other chemical - 7,8,9,11,12,14,15,16-octahydro-6H- endogenous cyclopenta[a]phenanthren-17-one mammalian G6PD BOS 25472, G28A, G6PD1, G6PDX, glucose-6-phosphate Cytoplasm enzyme Glucose-6-P Dehydrogenase dehydrogenase GATA4 ASD2, GATA binding protein 4, GATA binding protein 4 Nucleus transcription TACHD, TOF, VSD1 regulator GHRHR growth hormone releasing -
Benefits of Cancerplex
CancerPlexSM is a comprehensive genetic assessment of a patient’s tumor that guides oncologists towards effective treatment options. What is CancerPlex? CancerPlex is a next generation DNA sequencing test for solid SM tumors. The specific coding regions of over 400 known cancer Potential outcomes from CancerPlex genes are simultaneously determined using a small amount of Identification of variants associated with response or resis- DNA extracted from tumor samples, including formalin-fixed, tance to an FDA-approved therapy for the patient’s disease. paraffin-embedded (FFPE) tissue and cell blocks from fine-needle aspirates or effusions. This analysis is performed in a single assay, Identification of variants associated with response or resis- simplifying and streamlining the test ordering process, and eliminat- tance to a therapy associated with another clinical indication. ing time consuming serial testing. Clinically actionable information unique to each patient’s tumor is consolidated into a simple report. Identification of variants associated with a therapy(s) in CancerPlex reveals missense changes, insertions and deletions, clinical development. and previously described rearrangements of ALK, RET, and ROS. Benefits of CancerPlex: CancerPlex genes were selected because of their importance in tumor The average turn-around-time for CancerPlex is under 10 biology. Analyzing more genes increases the chance of discovering business days, dramatically shortening the waiting period for actionable findings that lead to more choices for treatment. Our initial the start of treatment. results indicate that CancerPlex analysis identifies actionable findings up to 20% more frequently than previously published studies. CancerPlex ordering is simple: KEW provides all necessary shipping materials, can facilitate tissue retrieval and return with Since knowledge of tumor biology changes rapidly, CancerPlex pathologists, and manages 3rd party payment for the test. -
Cellular and Molecular Signatures in the Disease Tissue of Early
Cellular and Molecular Signatures in the Disease Tissue of Early Rheumatoid Arthritis Stratify Clinical Response to csDMARD-Therapy and Predict Radiographic Progression Frances Humby1,* Myles Lewis1,* Nandhini Ramamoorthi2, Jason Hackney3, Michael Barnes1, Michele Bombardieri1, Francesca Setiadi2, Stephen Kelly1, Fabiola Bene1, Maria di Cicco1, Sudeh Riahi1, Vidalba Rocher-Ros1, Nora Ng1, Ilias Lazorou1, Rebecca E. Hands1, Desiree van der Heijde4, Robert Landewé5, Annette van der Helm-van Mil4, Alberto Cauli6, Iain B. McInnes7, Christopher D. Buckley8, Ernest Choy9, Peter Taylor10, Michael J. Townsend2 & Costantino Pitzalis1 1Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK. Departments of 2Biomarker Discovery OMNI, 3Bioinformatics and Computational Biology, Genentech Research and Early Development, South San Francisco, California 94080 USA 4Department of Rheumatology, Leiden University Medical Center, The Netherlands 5Department of Clinical Immunology & Rheumatology, Amsterdam Rheumatology & Immunology Center, Amsterdam, The Netherlands 6Rheumatology Unit, Department of Medical Sciences, Policlinico of the University of Cagliari, Cagliari, Italy 7Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow G12 8TA, UK 8Rheumatology Research Group, Institute of Inflammation and Ageing (IIA), University of Birmingham, Birmingham B15 2WB, UK 9Institute of -
SETD2 Mutations in Primary Central Nervous System Tumors Angela N
Viaene et al. Acta Neuropathologica Communications (2018) 6:123 https://doi.org/10.1186/s40478-018-0623-0 RESEARCH Open Access SETD2 mutations in primary central nervous system tumors Angela N. Viaene1, Mariarita Santi1, Jason Rosenbaum2, Marilyn M. Li1, Lea F. Surrey1 and MacLean P. Nasrallah2,3* Abstract Mutations in SETD2 are found in many tumors, including central nervous system (CNS) tumors. Previous work has shown these mutations occur specifically in high grade gliomas of the cerebral hemispheres in pediatric and young adult patients. We investigated SETD2 mutations in a cohort of approximately 640 CNS tumors via next generation sequencing; 23 mutations were detected across 19 primary CNS tumors. Mutations were found in a wide variety of tumors and locations at a broad range of allele frequencies. SETD2 mutations were seen in both low and high grade gliomas as well as non-glial tumors, and occurred in patients greater than 55 years of age, in addition to pediatric and young adult patients. High grade gliomas at first occurrence demonstrated either frameshift/truncating mutations or point mutations at high allele frequencies, whereas recurrent high grade gliomas frequently harbored subclones with point mutations in SETD2 at lower allele frequencies in the setting of higher mutational burdens. Comparison with the TCGA dataset demonstrated consistent findings. Finally, immunohistochemistry showed decreased staining for H3K36me3 in our cohort of SETD2 mutant tumors compared to wildtype controls. Our data further describe the spectrum of tumors in which SETD2 mutations are found and provide a context for interpretation of these mutations in the clinical setting. Keywords: SETD2, Histone, Brain tumor, Glioma, Epigenetics, H3K36me3 Introduction (H3K36me3) in humans. -
Sponges Are Highly Resistant to Radiation Exposure and Cancer
bioRxiv preprint doi: https://doi.org/10.1101/2021.03.17.435910; this version posted March 19, 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. Sponges are highly resistant to radiation exposure and cancer Angelo Fortunato1,2,3†, Jake Taylor1,2,3, Jonathan Scirone1,2,3, Athena Aktipis1,4* and Carlo C. Maley1,2,3* 1. Arizona Cancer Evolution Center, Arizona State University, 1001 S. McAllister Ave., Tempe, AZ, 85287, USA. 2. Biodesign Center for Biocomputing, Security and Society, Arizona State University, 727 E. Tyler St.,Tempe, AZ 85281, USA. 3. School of Life Sciences, Arizona State University, 427 East Tyler Mall, Tempe, AZ 85287, USA. 4. Department of Psychology, Arizona State University, Tempe, AZ, USA. † Corresponding author * co-senior authors bioRxiv preprint doi: https://doi.org/10.1101/2021.03.17.435910; this version posted March 19, 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. Abstract There are no reports of cancer in sponges, despite them having somatic cell turnover, long lifespans and no specialized adaptive immune cells. In order to investigate whether sponges are cancer resistant, we exposed a species of sponge, Tethya wilhelma, to X-rays. We found that T. wilhelma can withstand 600 Gy of X-ray radiation. That is approximately 100 times the lethal dose for humans. A single high dose of X-rays did not induce cancer in sponges, providing the first experimental evidence of cancer resistance in the phylum, Porifera. -
Further Delineation of the Clinical Spectrum of KAT6B Disorders and Allelic Series of Pathogenic Variants
ARTICLE © American College of Medical Genetics and Genomics Further delineation of the clinical spectrum of KAT6B disorders and allelic series of pathogenic variants Li Xin Zhang1, Gabrielle Lemire, MD2, Claudia Gonzaga-Jauregui, PhD3, Sirinart Molidperee, Gr. Cert1, Carolina Galaz-Montoya, MD3, David S. Liu, MD3, Alain Verloes, MD PhD4, Amelle G. Shillington, DO5, Kosuke Izumi, MD PhD6, Alyssa L. Ritter, MS LCGC7, Beth Keena, MS LCGC6, Elaine Zackai, MD7,8, Dong Li, PhD9, Elizabeth Bhoj, MD PhD7, Jennifer M. Tarpinian, MS CGC10, Emma Bedoukian, MS LCGC10, Mary K. Kukolich, MD11, A. Micheil Innes, MD12, Grace U. Ediae, BSc13, Sarah L. Sawyer, MD PhD14, Karippoth Mohandas Nair, MD15, Para Chottil Soumya, MD15, Kinattinkara R. Subbaraman, MD15, Frank J. Probst, MD PhD3,16, Jennifer A. Bassetti, MD3,16, Reid V. Sutton, MD3,16, Richard A. Gibbs, PhD3, Chester Brown, MD PhD17, Philip M. Boone, MD PhD18, Ingrid A. Holm, MD MPH18, Marco Tartaglia, PhD19, Giovanni Battista Ferrero, MD PhD20, Marcello Niceta, MD PhD19, Maria Lisa Dentici, MD19, Francesca Clementina Radio, MD PhD19, Boris Keren, MD21, Constance F. Wells, MD22, Christine Coubes, MD22, Annie Laquerrière, MD PhD23, Jacqueline Aziza, MD24, Charlotte Dubucs, MD24, Sheela Nampoothiri, MD25, David Mowat, MD26, Millan S. Patel, MD27, Ana Bracho, MD28, Francisco Cammarata-Scalisi, MD29, Alper Gezdirici, MD30, Alberto Fernandez-Jaen, MD31, Natalie Hauser, MD32, Yuri A. Zarate, MD33, Katherine A. Bosanko, MS CGC33, Klaus Dieterich, MD PhD34, John C. Carey, MD MPH35, Jessica X. Chong, PhD36,37, Deborah A. Nickerson, PhD37,38, Michael J. Bamshad, MD36,37, Brendan H. Lee, MD PhD3, Xiang-Jiao Yang, PhD39, James R. -
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