Diffuse Midline Gliomas, H3 K27M-Mutant
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The Landscape of Somatic Mutations in Epigenetic Regulators Across 1,000 Paediatric Cancer Genomes
ARTICLE Received 24 Sep 2013 | Accepted 12 Mar 2014 | Published 8 Apr 2014 DOI: 10.1038/ncomms4630 The landscape of somatic mutations in epigenetic regulators across 1,000 paediatric cancer genomes Robert Huether1,*, Li Dong2,*, Xiang Chen1, Gang Wu1, Matthew Parker1, Lei Wei1, Jing Ma2, Michael N. Edmonson1, Erin K. Hedlund1, Michael C. Rusch1, Sheila A. Shurtleff2, Heather L. Mulder3, Kristy Boggs3, Bhavin Vadordaria3, Jinjun Cheng2, Donald Yergeau3, Guangchun Song2, Jared Becksfort1, Gordon Lemmon1, Catherine Weber2, Zhongling Cai2, Jinjun Dang2, Michael Walsh4, Amanda L. Gedman2, Zachary Faber2, John Easton3, Tanja Gruber2,4, Richard W. Kriwacki5, Janet F. Partridge6, Li Ding7,8,9, Richard K. Wilson7,8,9, Elaine R. Mardis7,8,9, Charles G. Mullighan2, Richard J. Gilbertson10, Suzanne J. Baker10, Gerard Zambetti6, David W. Ellison2, Jinghui Zhang1 & James R. Downing2 Studies of paediatric cancers have shown a high frequency of mutation across epigenetic regulators. Here we sequence 633 genes, encoding the majority of known epigenetic regulatory proteins, in over 1,000 paediatric tumours to define the landscape of somatic mutations in epigenetic regulators in paediatric cancer. Our results demonstrate a marked variation in the frequency of gene mutations across 21 different paediatric cancer subtypes, with the highest frequency of mutations detected in high-grade gliomas, T-lineage acute lymphoblastic leukaemia and medulloblastoma, and a paucity of mutations in low-grade glioma and retinoblastoma. The most frequently mutated genes are H3F3A, PHF6, ATRX, KDM6A, SMARCA4, ASXL2, CREBBP, EZH2, MLL2, USP7, ASXL1, NSD2, SETD2, SMC1A and ZMYM3. We identify novel loss-of-function mutations in the ubiquitin-specific processing protease 7 (USP7) in paediatric leukaemia, which result in decreased deubiquitination activity. -
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. -
Anti- Histone-H3 Antibody
anti- Histone-H3 antibody Product Information Catalog No.: FNab03890 Size: 100μg Form: liquid Purification: Immunogen affinity purified Purity: ≥95% as determined by SDS-PAGE Host: Rabbit Clonality: polyclonal Clone ID: None IsoType: IgG Storage: PBS with 0.02% sodium azide and 50% glycerol pH 7.3, -20℃ for 12 months (Avoid repeated freeze / thaw cycles.) Background HIST2H3A,histone cluster 2, H3a.It is the core component of nucleosome. Nucleosomes wrap and compact DNA into chromatin, limiting DNA accessibility to the cellular machineries which require DNA as a template. Histones thereby play a central role in transcription regulation, DNA repair, DNA replication and chromosomal stability. DNA accessibility is regulated via a complex set of post-translational modifications of histones, also called histone code, and nucleosome remodeling. HIST2H3A is Expressed during S phase, then expression strongly decreases as cell division slows down during the process of differentiation. Immunogen information Immunogen: histone cluster 2, H3a Synonyms: H3/n, H3/o, H3F2, H3FM, HIST2H3A, HIST2H3C, HIST2H3D, histone cluster 2, H3a, Histone H3, Histone H3.2, Histone H3/m, Histone H3/o Observed MW: 15-17 kDa Uniprot ID : Q71DI3 Application 1 Wuhan Fine Biotech Co., Ltd. B9 Bld, High-Tech Medical Devices Park, No. 818 Gaoxin Ave.East Lake High-Tech Development Zone.Wuhan, Hubei, China(430206) Tel :( 0086)027-87384275 Fax: (0086)027-87800889 www.fn-test.com Reactivity: Human, Mouse, Rat Tested Application: ELISA, WB, IHC, IF Recommended dilution: WB: 1:500-1:5000; IHC: 1:50-1:200; IF: 1:20-1:200 Image: Immunohistochemistry of paraffin-embedded human breast cancer tissue slide using FNab03890(Histone-H3 Antibody) at dilution of 1:50 Immunofluorescent analysis of HEK-293 cells using FNab03890 (Histone-H3 Antibody) at dilution of 1:50 and Rhodamine-Goat anti-Rabbit IgG 2 Wuhan Fine Biotech Co., Ltd. -
M2139: Molecular Analysis for Gliomas
Molecular Analysis for Gliomas Policy Number: AHS – M2139 – Molecular Analysis Prior Policy Name and Number, as applicable: for Gliomas • AHS – M2139 – Analysis of MGMT Promoter Methylation for Malignant Gliomas Initial Presentation Date: 06/16/2021 Revision Date: N/A I. Policy Description Glioma refers to tumors resulting from metaplastic transformation of glial tissue of the nervous system. Tumors have historically been classified by the retained histologic features of the three types of glial cells: astrocytes, oligodendrocytes, and ependymal cells. Tumors of each type can vary widely in aggressiveness, response to treatment, and prognosis (Louis, Schiff, & Batchelor, 2020). Molecular genetic features were added to histopathologic appearance in the current WHO classification to yield more biologically homogeneous and narrowly defined diagnostic entities for greater diagnostic accuracy, improved patient management, more accurate determinations of prognosis, and better treatment response (Louis et al., 2016). II. Related Policies Policy Number Policy Title AHS-M2109 Molecular Panel Testing of Cancers for Diagnosis, Prognosis, and Identification of Targeted Therapy III. Indications and/or Limitations of Coverage Application of coverage criteria is dependent upon an individual’s benefit coverage at the time of the request 1. MGMT promoter methylation testing IS MEDICALLY NECESSARY for prognosis of malignant gliomas. 2. IDH1 and IDH2 testing IS MEDICALLY NECESSARY for prognosis of malignant gliomas. M2139 Molecular Analysis for Gliomas Page 1 of 15 3. Testing for the co-deletion of 1p and 19q by either fluorescence in situ hybridization (FISH) or polymerase chain reaction (PCR) for the characterization of gliomas and/or to guide treatment decisions IS MEDICALLY NECESSARY. 4. ATRX mutation testing via EITHER immunohistochemistry OR gene sequencing IS MEDICALLY NECESSARY for the prognosis of malignant gliomas. -
HIST2H3C(27Ac) Antibody Purified Mouse Monoclonal Antibody Catalog # Ao2159a
10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 HIST2H3C(27Ac) Antibody Purified Mouse Monoclonal Antibody Catalog # AO2159a Specification HIST2H3C(27Ac) Antibody - Product Information Application E, WB, FC, IHC Primary Accession Q71DI3 Reactivity Human Host Mouse Clonality Monoclonal Isotype IgG1 Calculated MW 15.4kDa KDa Description Histones are basic nuclear proteins that are responsible for the nucleosome structure of the chromosomal fiber in eukaryotes. This structure consists of approximately 146 bp of DNA wrapped around a nucleosome, an octamer composed of pairs of each of the four core histones (H2A, H2B, H3, and H4). The chromatin fiber is further compacted through the interaction of a linker histone, H1, with the DNA between the nucleosomes to form higher order chromatin structures. This gene is intronless and encodes a member of the histone H3 family. Transcripts from this gene lack polyA tails; instead, they contain a palindromic termination element. This gene is found in a histone cluster on chromosome 1. This gene is one of four histone genes in the cluster that are duplicated; this record represents the telomeric copy. Immunogen Synthesized peptide of human HIST2H3C (AA: ATKAARK(Ac)SAPATGGV). Formulation Purified antibody in PBS with 0.05% sodium azide HIST2H3C(27Ac) Antibody - Additional Information Gene ID 126961;333932;653604 Dilution E~~1/10000 Page 1/2 10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 WB~~1/500 - 1/2000 FC~~1/200 - 1/400 IHC~~1/200 - 1/1000 Storage Maintain refrigerated at 2-8°C for up to 6 months. -
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. -
Expression Analysis of Progesterone‑Regulated Mirnas in Cells Derived from Human Glioblastoma
MOLECULAR MEDICINE REPORTS 23: 475, 2021 Expression analysis of progesterone‑regulated miRNAs in cells derived from human glioblastoma DIANA ELISA VELÁZQUEZ‑VÁZQUEZ1, AYLIN DEL MORAL‑MORALES1, JENIE MARIAN CRUZ‑BURGOS2, EDUARDO MARTÍNEZ‑MARTÍNEZ3, MAURICIO RODRÍGUEZ‑DORANTES2 and IGNACIO CAMACHO‑ARROYO1 1Unidad de Investigación en Reproducción Humana, Instituto Nacional de Perinatología‑Facultad de Química, Universidad Nacional Autónoma de México, Mexico City 04510; 2Oncogenomics Laboratory, The National Institute of Genomic Medicine; 3Laboratory of Cell Communication and Extracellular Vesicles, The National Institute of Genomic Medicine, Mexico City 14610, Mexico Received August 16, 2020; Accepted February 2, 2021 DOI: 10.3892/mmr.2021.12114 Abstract. Glioblastomas (GBMs) are the most frequent and is characterized by being highly infiltrative, angiogenic and malignant type of brain tumor. It has been reported that resistant to chemotherapy and radiotherapy. The medical progesterone (P4) regulates the progression of GBMs by modi‑ history of patients with GBM is short as few of them survive fying the expression of genes that promote cell proliferation, more than one year (1‑3). GBM is mainly diagnosed in adults migration and invasion; however, it is not fully understood >50 years old, but it can occur at any age and the incidence is how these processes are regulated. It is possible that P4 medi‑ higher in men than in women (3:2) (4). ates some of these effects through changes in the microRNA Studies have focused on the identification of new biomarkers (miRNA) expression profile in GBM cells. The present study and therapeutic agents in GBM. Of particular interest are the investigated the effects of P4 on miRNAs expression profile microRNAs (miRNAs), which are single‑stranded, short, in U‑251MG cells derived from a human GBM. -
Application of NGS Technology in Understanding the Pathology of Autoimmune Diseases
Journal of Clinical Medicine Review Application of NGS Technology in Understanding the Pathology of Autoimmune Diseases Anna Wajda 1 , Larysa Sivitskaya 2,* and Agnieszka Paradowska-Gorycka 1 1 Department of Molecular Biology, National Institute of Geriatrics, Rheumatology and Rehabilitation, 02-637 Warsaw, Poland; [email protected] (A.W.); [email protected] (A.P.-G.) 2 Institute of Genetics and Cytology, National Academy of Sciences of Belarus, 220072 Minsk, Belarus * Correspondence: [email protected] Abstract: NGS technologies have transformed clinical diagnostics and broadly used from neonatal emergencies to adult conditions where the diagnosis cannot be made based on clinical symptoms. Autoimmune diseases reveal complicate molecular background and traditional methods could not fully capture them. Certainly, NGS technologies meet the needs of modern exploratory research, diagnostic and pharmacotherapy. Therefore, the main purpose of this review was to briefly present the application of NGS technology used in recent years in the understanding of autoimmune diseases paying particular attention to autoimmune connective tissue diseases. The main issues are presented in four parts: (a) panels, whole-genome and -exome sequencing (WGS and WES) in diagnostic, (b) Human leukocyte antigens (HLA) as a diagnostic tool, (c) RNAseq, (d) microRNA and (f) microbiome. Although all these areas of research are extensive, it seems that epigenetic impact on the development of systemic autoimmune diseases will set trends for future studies on this area. Citation: Wajda, A.; Sivitskaya, L.; Keywords: next-generation sequencing; autoimmune diseases; autoimmune connective tissue dis- Paradowska-Gorycka, A. Application eases; HLA; microRNA; microbiome of NGS Technology in Understanding the Pathology of Autoimmune Diseases. J. Clin. -
Somatic Histone H3 Alterations in Pediatric Diffuse Intrinsic Pontine
BRIEF COMMUNICATIONS (c.83A>T) in H3F3A resulting in a substitution to methionine at lysine 27 Somatic histone H3 alterations in (p.Lys27Met) in the histone H3.3 protein (Supplementary Fig. 1). In the tumor from a fifth affected individual, an analogous adenine-to- pediatric diffuse intrinsic pontine thymine transversion (c.83A>T) encoding a p.Lys27Met alteration was gliomas and non-brainstem identified in the closely related HIST1H3B gene, which codes for the histone H3.1 isoform. glioblastomas To determine the frequency of mutations in the histone H3 gene family, we performed targeted sequencing of the exons encoding Lys27 in all 16 1,8 2,8 3,8 Gang Wu , Alberto Broniscer , Troy A McEachron , genes that code for histone H3 isoforms in a validation cohort comprising 4 3 5 5 Charles Lu , Barbara S Paugh , Jared Becksfort , Chunxu Qu , 43 DIPGs as well as 36 non-BS-PGs (see Supplementary Methods and 4 1 1 3 Li Ding , Robert Huether , Matthew Parker , Junyuan Zhang , Supplementary Tables 1 and 2). Including the original seven individuals 2 3 6 Amar Gajjar , Michael A Dyer , Charles G Mullighan , with DIPG analyzed by WGS, we found recurrent adenine-to-thymine 3 4 4 Richard J Gilbertson , Elaine R Mardis , Richard K Wilson , transversions encoding p.Lys27Met alterations in H3F3A or HIST1H3B in 6 6 1 James R Downing , David W Ellison , Jinghui Zhang & 78% of DIPGs and 22% of non-BS-PGs (Fig. 1 and Table 1). In addition, 3 Suzanne J Baker for the St. Jude Children’s Research Hospital– a new guanine-to-adenine transition resulting in a p.Gly34Arg alteration 7 Washington University Pediatric Cancer Genome Project in H3F3A was identified in 5 of 36 (14%) non-BS-PGs but not in any of the 50 DIPGs analyzed. -
Pentosan Polysulfate Binds to STRO
Wu et al. Stem Cell Research & Therapy (2017) 8:278 DOI 10.1186/s13287-017-0723-y RESEARCH Open Access Pentosan polysulfate binds to STRO-1+ mesenchymal progenitor cells, is internalized, and modifies gene expression: a novel approach of pre-programing stem cells for therapeutic application requiring their chondrogenesis Jiehua Wu1,7, Susan Shimmon1,8, Sharon Paton2, Christopher Daly3,4,5, Tony Goldschlager3,4,5, Stan Gronthos6, Andrew C. W. Zannettino2 and Peter Ghosh1,5* Abstract Background: The pharmaceutical agent pentosan polysulfate (PPS) is known to induce proliferation and chondrogenesis of mesenchymal progenitor cells (MPCs) in vitro and in vivo. However, the mechanism(s) of action of PPS in mediating these effects remains unresolved. In the present report we address this issue by investigating the binding and uptake of PPS by MPCs and monitoring gene expression and proteoglycan biosynthesis before and after the cells had been exposed to limited concentrations of PPS and then re-established in culture in the absence of the drug (MPC priming). Methods: Immuno-selected STRO-1+ mesenchymal progenitor stem cells (MPCs) were prepared from human bone marrow aspirates and established in culture. The kinetics of uptake, shedding, and internalization of PPS by MPCs was determined by monitoring the concentration-dependent loss of PPS media concentrations using an enzyme-linked immunosorbent assay (ELISA) and the uptake of fluorescein isothiocyanate (FITC)-labelled PPS by MPCs. The proliferation of MPCs, following pre-incubation and removal of PPS (priming), was assessed using the Wst-8 assay 35 method, and proteoglycan synthesis was determined by the incorporation of SO4 into their sulphated glycosaminoglycans. -
Product Data Sheet
For research purposes only, not for human use Product Data Sheet Anti-Histone H3 (MonoMethyl K36) Antibody Catalog # Source Reactivity Applications CPA9358 Rabbit H, M, R WB, IH Description Rabbit polyclonal to Histone H3 (MonoMethyl K36) Immunogen KLH-conjugated synthetic peptide encompassing a sequence of human Histone H3. The exact sequence is proprietary. Purification The antibody was purified by affinity chromatography. Specificity Recognizes endogenous levels of Histone H3 (MonoMethyl K36) protein. Clonality Polyclonal Form Liquid in 0.42% Potassium phosphate, 0.87% Sodium chloride, pH 7.3, 30% glycerol, and 0.01% sodium azide. Dilution WB (1/200 - 1/500), IH (1/200 - 1/500) Gene Symbol HIST1H3A; HIST1H3B; HIST1H3C; HIST1H3D; HIST1H3E; HIST1H3F; HIST1H3G; HIST1H3H; HIST1H3I; HIST1H3J; HIST2H3A; HIST2H3C; HIST2H3D; H3F3A; H3F3B Alternative Names HIST1H3A; H3FA; HIST1H3B; H3FL; HIST1H3C; H3FC; HIST1H3D; H3FB; HIST1H3E; H3FD; HIST1H3F; H3FI; HIST1H3G; H3FH; HIST1H3H; H3FK; HIST1H3I; H3FF; HIST1H3J; H3FJ; Histone H3.1; Histone H3/a; Histone H3/b; Histone H3/c; Histone H3/d; Histone H3/f; Histone H3/ Entrez Gene 8350, 8351, 8352, 8353, 8354, 8355, 8356, 8357, 8358, 8968 (Human); 319152, 15077, 15078 (Mouse); 291159, 100361558 (Rat) SwissProt P68431, Q71DI3, P84243 (Human); P68433, P84228, P84244 (Mouse); Q6LED0, P84245 (Rat) Storage/Stability Shipped at 4°C. Upon delivery aliquot and store at -20°C for one year. Avoid freeze/thaw cycles. Application key: E- ELISA, WB- Western blot, IH- Immunohistochemistry, IF- Immunofluorescence, FC- -
Clinical and Genomic Characteristics of Adult Diffuse Midline Glioma
pISSN 1598-2998, eISSN 2005-9256 https://doi.org/10.4143/crt.2020.694 Cancer Res Treat. 2021;53(2):389-398 Original Article Clinical and Genomic Characteristics of Adult Diffuse Midline Glioma Changhee Park1, Tae Min Kim1,2, Jeong Mo Bae3, Hongseok Yun4, Jin Wook Kim5, Seung Hong Choi6, Soon-Tae Lee7, Joo Ho Lee8, Sung-Hye Park3, Chul-Kee Park5 1Department of Internal Medicine, Seoul National University Hospital, Seoul, 2Cancer Research Institute, Seoul National University, Seoul, 3Department of Pathology, Seoul National University Hospital, Seoul, 4Biomedical Research Institute, Seoul National University Hospital, Seoul, Departments of 5Neurosurgery, 6Radiology, 7Neurology, and 8Radiation Oncology, Seoul National University Hospital, Seoul, Korea Purpose The treatment outcomes and genomic profiles of diffuse midline glioma (DMG) in adult patients are rarely characterized. We performed a retrospective study to evaluate the clinicogenomic profiles of adult patients with brain DMG. Materials and Methods Patients aged ≥ 18 years diagnosed with brain DMG at Seoul National University Hospital were included. The clinicopathological parameters, treatment outcomes, survival, and genomic profiles using 82-gene targeted next-generation sequenc- ing (NGS) were analyzed. The 6-month progression-free survival (PFS6) after radiotherapy and overall survival (OS) were evaluated. Results Thirty-three patients with H3-mutant brain DMG were identified. The median OS from diagnosis was 21.8 months (95% confi- dence interval [CI], 13.2 to not available [NA]) and involvement of the ponto-medullary area tended to have poor OS (median OS, 20.4 months [95% CI, 9.3 to NA] vs. 43.6 months [95% CI, 18.2 to NA]; p=0.07).