Cpg Island Hypermethylation in Human Astrocytomas
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Leveraging Mouse Chromatin Data for Heritability Enrichment Informs Common Disease Architecture and Reveals Cortical Layer Contributions to Schizophrenia
Downloaded from genome.cshlp.org on October 5, 2021 - Published by Cold Spring Harbor Laboratory Press Research Leveraging mouse chromatin data for heritability enrichment informs common disease architecture and reveals cortical layer contributions to schizophrenia Paul W. Hook1 and Andrew S. McCallion1,2,3 1McKusick-Nathans Department of Genetic Medicine, 2Department of Comparative and Molecular Pathobiology, 3Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA Genome-wide association studies have implicated thousands of noncoding variants across common human phenotypes. However, they cannot directly inform the cellular context in which disease-associated variants act. Here, we use open chro- matin profiles from discrete mouse cell populations to address this challenge. We applied stratified linkage disequilibrium score regression and evaluated heritability enrichment in 64 genome-wide association studies, emphasizing schizophrenia. We provide evidence that mouse-derived human open chromatin profiles can serve as powerful proxies for difficult to ob- tain human cell populations, facilitating the illumination of common disease heritability enrichment across an array of hu- man phenotypes. We demonstrate that signatures from discrete subpopulations of cortical excitatory and inhibitory neurons are significantly enriched for schizophrenia heritability with maximal enrichment in cortical layer V excitatory neu- rons. We also show that differences between schizophrenia and bipolar disorder are concentrated in excitatory neurons in cortical layers II-III, IV, and V, as well as the dentate gyrus. Finally, we leverage these data to fine-map variants in 177 schiz- ophrenia loci nominating variants in 104/177. We integrate these data with transcription factor binding site, chromatin in- teraction, and validated enhancer data, placing variants in the cellular context where they may modulate risk. -
Knock-In of a 25-Kilobase Pair BAC-Derived Donor Molecule By
ManuscriptbioRxiv preprint doi: https://doi.org/10.1101/076612; this version posted SeptemberClick here23, 2016. to download The copyright Manuscript holder for this BIM preprint CRISPR (which Paper.docxwas not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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 4.0 International license. 1 2 3 4 5 6 7 8 Knock-In of a 25-Kilobase Pair BAC-Derived Donor Molecule 9 by Traditional and CRISPR/Cas9-Stimulated Homologous Recombination 10 11 Short title: 25-Kilobase Pair Traditional and CRISPR/Cas9-Stimulated Knock-Ins 12 13 14 15 16 17 18 19 20 Tiffany Leidy-Davis1, Kai Cheng1,†, Leslie O. Goodwin1, Judith L. Morgan1, Wen Chun Juan2,‡, Xavier Roca3, 21 Sin-Tiong Ong4-7, David E. Bergstrom1,8,* 22 23 24 25 26 27 28 29 30 31 32 33 1Genetic Resource Science, The Jackson Laboratory, Bar Harbor, ME, USA 34 2Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR), Singapore 35 3 School of Biological Sciences, Nanyang Technological University, Singapore 36 4Cancer and Stem Cell Biology Signature Research Programme, Duke-NUS Medical School, Singapore 37 5Department of Haematology, Singapore General Hospital, Singapore 38 6Department of Medical Oncology, National Cancer Centre Singapore, Singapore 39 7Department of Medicine, Duke University Medical Center, Durham, NC, USA 40 8Cancer Center, The Jackson Laboratory, Bar Harbor, ME, USA 41 42 43 44 †Current address: Genetically Engineered Models and Services, Charles River Laboratories, Wilmington, MA, 45 USA 46 47 48 49 ‡ Current address: MSD Pharma (Singapore) Private Limited, Singapore 50 51 52 53 *To whom correspondence should be addressed at [email protected] 54 55 1 bioRxiv preprint doi: https://doi.org/10.1101/076612; this version posted September 23, 2016. -
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. -
Synergy of Bcl2 and Histone Deacetylase Inhibition Against Leukemic Cells from Cutaneous T-Cell Lymphoma Patients Benoit Cyrenne
Yale University EliScholar – A Digital Platform for Scholarly Publishing at Yale Yale Medicine Thesis Digital Library School of Medicine January 2018 Synergy Of Bcl2 And Histone Deacetylase Inhibition Against Leukemic Cells From Cutaneous T-Cell Lymphoma Patients Benoit Cyrenne Follow this and additional works at: https://elischolar.library.yale.edu/ymtdl Recommended Citation Cyrenne, Benoit, "Synergy Of Bcl2 And Histone Deacetylase Inhibition Against Leukemic Cells From Cutaneous T-Cell Lymphoma Patients" (2018). Yale Medicine Thesis Digital Library. 3388. https://elischolar.library.yale.edu/ymtdl/3388 This Open Access Thesis is brought to you for free and open access by the School of Medicine at EliScholar – A Digital Platform for Scholarly Publishing at Yale. It has been accepted for inclusion in Yale Medicine Thesis Digital Library by an authorized administrator of EliScholar – A Digital Platform for Scholarly Publishing at Yale. For more information, please contact [email protected]. i Synergy of BCL2 and histone deacetylase inhibition against leukemic cells from cutaneous T-cell lymphoma patients A Thesis Submitted to the Yale University School of Medicine in Partial Fulfillment of the Requirements for the Degree of Doctor of Medicine Benoit M. Cyrenne 2018 ii SYNERGY OF BCL2 AND HISTONE DEACETYLASE INHIBITION AGAINST LEUKEMIC CELLS FROM CUTANEOUS T-CELL LYMPHOMA PATIENTS. Benoit Cyrenne, Julia Lewis, Jason Weed, Kacie Carlson, Fatima Mirza, Francine Foss, and Michael Girardi. Department of Dermatology, Yale University, School of Medicine, New Haven, CT. The presence and degree of peripheral blood involvement in patients with cutaneous T-cell lymphoma (CTCL) portend a worse clinical outcome. Available systemic therapies for CTCL may variably decrease tumor burden and improve quality of life, but offer limited effects on survival; thus, novel approaches to the treatment of advanced stages of this non-Hodgkin lymphoma are clearly warranted. -
Gene Expression Profile in Different Age Groups and Its Association With
cells Article Gene Expression Profile in Different Age Groups and Its Association with Cognitive Function in Healthy Malay Adults in Malaysia Nur Fathiah Abdul Sani 1 , Ahmad Imran Zaydi Amir Hamzah 1, Zulzikry Hafiz Abu Bakar 1 , Yasmin Anum Mohd Yusof 2, Suzana Makpol 1 , Wan Zurinah Wan Ngah 1 and Hanafi Ahmad Damanhuri 1,* 1 Department of Biochemistry, Faculty of Medicine, Universiti Kebangsaan Malaysia Medical Center, Jalan Yaacob Latif, Cheras, Kuala Lumpur 56000, Malaysia; [email protected] (N.F.A.S.); [email protected] (A.I.Z.A.H.); zulzikryhafi[email protected] (Z.H.A.B.); [email protected] (S.M.); [email protected] (W.Z.W.N.) 2 Faculty of Medicine and Defence Health, National Defence University of Malaysia, Kem Sungai Besi, Kuala Lumpur 57000, Malaysia; [email protected] * Correspondence: hanafi[email protected] Abstract: The mechanism of cognitive aging at the molecular level is complex and not well under- stood. Growing evidence suggests that cognitive differences might also be caused by ethnicity. Thus, this study aims to determine the gene expression changes associated with age-related cognitive decline among Malay adults in Malaysia. A cross-sectional study was conducted on 160 healthy Malay subjects, aged between 28 and 79, and recruited around Selangor and Klang Valley, Malaysia. Citation: Abdul Sani, N.F.; Amir Gene expression analysis was performed using a HumanHT-12v4.0 Expression BeadChip microarray Hamzah, A.I.Z.; Abu Bakar, Z.H.; kit. The top 20 differentially expressed genes at p < 0.05 and fold change (FC) = 1.2 showed that Mohd Yusof, Y.A.; Makpol, S.; Wan PAFAH1B3, HIST1H1E, KCNA3, TM7SF2, RGS1, and TGFBRAP1 were regulated with increased Ngah, W.Z.; Damanhuri, H.A. -
FMRP Links Optimal Codons to Mrna Stability in Neurons
FMRP links optimal codons to mRNA stability in neurons Huan Shua,1, Elisa Donnardb, Botao Liua, Suna Junga, Ruijia Wanga, and Joel D. Richtera aProgram in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01605; and bBioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA 01605 Edited by Lynne E. Maquat, University of Rochester School of Medicine and Dentistry, Rochester, NY, and approved October 12, 2020 (received for review May 8, 2020) Fragile X syndrome (FXS) is caused by inactivation of the FMR1 Here, we have used ribosome profiling and RNA sequencing gene and loss of encoded FMRP, an RNA binding protein that re- (RNA-seq) to investigate translational dysregulation in the presses translation of some of its target transcripts. Here we use FMRP KO cortex and found that FMRP coordinates the link ribosome profiling and RNA sequencing to investigate the dysre- between RNA destruction and codon usage bias (codon opti- gulation of translation in the mouse brain cortex. We find that mality). We find that the apparent dysregulation of translational most changes in ribosome occupancy on hundreds of mRNAs are activity (i.e., ribosome occupancy) in FMRP KO cortex can be largely driven by dysregulation in transcript abundance. Many accounted for by commensurate changes in steady-state RNA down-regulated mRNAs, which are mostly responsible for neuro- levels. Down-regulated mRNAs in FMRP KO cortex are nal and synaptic functions, are highly enriched for FMRP binding enriched for those that encode factors involved in neuronal and targets. RNA metabolic labeling demonstrates that, in FMRP- synaptic functions and are highly enriched for FMRP binding deficient cortical neurons, mRNA down-regulation is caused by targets. -
Growth and Molecular Profile of Lung Cancer Cells Expressing Ectopic LKB1: Down-Regulation of the Phosphatidylinositol 3-Phosphate Kinase/PTEN Pathway1
[CANCER RESEARCH 63, 1382–1388, March 15, 2003] Growth and Molecular Profile of Lung Cancer Cells Expressing Ectopic LKB1: Down-Regulation of the Phosphatidylinositol 3-Phosphate Kinase/PTEN Pathway1 Ana I. Jimenez, Paloma Fernandez, Orlando Dominguez, Ana Dopazo, and Montserrat Sanchez-Cespedes2 Molecular Pathology Program [A. I. J., P. F., M. S-C.], Genomics Unit [O. D.], and Microarray Analysis Unit [A. D.], Spanish National Cancer Center, 28029 Madrid, Spain ABSTRACT the cell cycle in G1 (8, 9). However, the intrinsic mechanism by which LKB1 activity is regulated in cells and how it leads to the suppression Germ-line mutations in LKB1 gene cause the Peutz-Jeghers syndrome of cell growth is still unknown. It has been proposed that growth (PJS), a genetic disease with increased risk of malignancies. Recently, suppression by LKB1 is mediated through p21 in a p53-dependent LKB1-inactivating mutations have been identified in one-third of sporadic lung adenocarcinomas, indicating that LKB1 gene inactivation is critical in mechanism (7). In addition, it has been observed that LKB1 binds to tumors other than those of the PJS syndrome. However, the in vivo brahma-related gene 1 protein (BRG1) and this interaction is required substrates of LKB1 and its role in cancer development have not been for BRG1-induced growth arrest (10). Similar to what happens in the completely elucidated. Here we show that overexpression of wild-type PJS, Lkb1 heterozygous knockout mice show gastrointestinal hamar- LKB1 protein in A549 lung adenocarcinomas cells leads to cell-growth tomatous polyposis and frequent hepatocellular carcinomas (11, 12). suppression. To examine changes in gene expression profiles subsequent to Interestingly, the hamartomas, but not the malignant tumors, arising in exogenous wild-type LKB1 in A549 cells, we used cDNA microarrays. -
Triplet Repeat Length Bias and Variation in the Human Transcriptome
Triplet repeat length bias and variation in the human transcriptome Michael Mollaa,1,2, Arthur Delcherb,1, Shamil Sunyaevc, Charles Cantora,d,2, and Simon Kasifa,e aDepartment of Biomedical Engineering and dCenter for Advanced Biotechnology, Boston University, Boston, MA 02215; bCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20742; cDepartment of Medicine, Division of Genetics, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115; and eCenter for Advanced Genomic Technology, Boston University, Boston, MA 02215 Contributed by Charles Cantor, July 6, 2009 (sent for review May 4, 2009) Length variation in short tandem repeats (STRs) is an important family including Huntington’s disease (10) and hereditary ataxias (11, 12). of DNA polymorphisms with numerous applications in genetics, All Huntington’s patients exhibit an expanded number of copies in medicine, forensics, and evolutionary analysis. Several major diseases the CAG tandem repeat subsequence in the N terminus of the have been associated with length variation of trinucleotide (triplet) huntingtin gene. Moreover, an increase in the repeat length is repeats including Huntington’s disease, hereditary ataxias and spi- anti-correlated to the onset age of the disease (13). Multiple other nobulbar muscular atrophy. Using the reference human genome, we diseases have also been associated with copy number variation of have catalogued all triplet repeats in genic regions. This data revealed tandem repeats (8, 14). Researchers have hypothesized that inap- a bias in noncoding DNA repeat lengths. It also enabled a survey of propriate repeat variation in coding regions could result in toxicity, repeat-length polymorphisms (RLPs) in human genomes and a com- incorrect folding, or aggregation of a protein. -
The Structure-Function Relationship of Angular Estrogens and Estrogen Receptor Alpha to Initiate Estrogen-Induced Apoptosis in Breast Cancer Cells S
Supplemental material to this article can be found at: http://molpharm.aspetjournals.org/content/suppl/2020/05/03/mol.120.119776.DC1 1521-0111/98/1/24–37$35.00 https://doi.org/10.1124/mol.120.119776 MOLECULAR PHARMACOLOGY Mol Pharmacol 98:24–37, July 2020 Copyright ª 2020 The Author(s) This is an open access article distributed under the CC BY Attribution 4.0 International license. The Structure-Function Relationship of Angular Estrogens and Estrogen Receptor Alpha to Initiate Estrogen-Induced Apoptosis in Breast Cancer Cells s Philipp Y. Maximov, Balkees Abderrahman, Yousef M. Hawsawi, Yue Chen, Charles E. Foulds, Antrix Jain, Anna Malovannaya, Ping Fan, Ramona F. Curpan, Ross Han, Sean W. Fanning, Bradley M. Broom, Daniela M. Quintana Rincon, Jeffery A. Greenland, Geoffrey L. Greene, and V. Craig Jordan Downloaded from Departments of Breast Medical Oncology (P.Y.M., B.A., P.F., D.M.Q.R., J.A.G., V.C.J.) and Computational Biology and Bioinformatics (B.M.B.), University of Texas, MD Anderson Cancer Center, Houston, Texas; King Faisal Specialist Hospital and Research (Gen.Org.), Research Center, Jeddah, Kingdom of Saudi Arabia (Y.M.H.); The Ben May Department for Cancer Research, University of Chicago, Chicago, Illinois (R.H., S.W.F., G.L.G.); Center for Precision Environmental Health and Department of Molecular and Cellular Biology (C.E.F.), Mass Spectrometry Proteomics Core (A.J., A.M.), Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Mass Spectrometry Proteomics Core (A.M.), and Dan L. Duncan molpharm.aspetjournals.org -
Characterizing Novel Interactions of Transcriptional Repressor Proteins BCL6 & BCL6B
Characterizing Novel Interactions of Transcriptional Repressor Proteins BCL6 & BCL6B by Geoffrey Graham Lundell-Smith A thesis submitted in conformity with the requirements for the degree of Master of Science Department of Biochemistry University of Toronto © Copyright by Geoffrey Lundell-Smith, 2017 Characterizing Novel Interactions of Transcriptional Repression Proteins BCL6 and BCL6B Geoffrey Graham Lundell-Smith Masters of Science Department of Biochemistry University of Toronto 2016 Abstract B-cell Lymphoma 6 (BCL6) and its close homolog BCL6B encode proteins that are members of the BTB-Zinc Finger family of transcription factors. BCL6 plays an important role in regulating the differentiation and proliferation of B-cells during the adaptive immune response, and is also involved in T cell development and inflammation. BCL6 acts by repressing genes involved in DNA damage response during the affinity maturation of immunoglobulins, and the mis- expression of BCL6 can lead to diffuse large B-cell lymphoma. Although BCL6B shares high sequence similarity with BCL6, the functions of BCL6B are not well-characterized. I used BioID, an in vivo proximity-dependent labeling method, to identify novel BCL6 and BCL6B protein interactors and validated a number of these interactions with co-purification experiments. I also examined the evolutionary relationship between BCL6 and BCL6B and identified conserved residues in an important interaction interface that mediates corepressor binding and gene repression. ii Acknowledgments Thank you to my supervisor, Gil Privé for his mentorship, guidance, and advice, and for giving me the opportunity to work in his lab. Thanks to my committee members, Dr. John Rubinstein and Dr. Jeff Lee for their ideas, thoughts, and feedback during my Masters. -
CPEB1 (NM 001079533) Human Tagged ORF Clone 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 RG213281 CPEB1 (NM_001079533) Human Tagged ORF Clone Product data: Product Type: Expression Plasmids Product Name: CPEB1 (NM_001079533) Human Tagged ORF Clone Tag: TurboGFP Symbol: CPEB1 Synonyms: CPE-BP1; CPEB; CPEB-1; h-CPEB; hCPEB-1 Vector: pCMV6-AC-GFP (PS100010) E. coli Selection: Ampicillin (100 ug/mL) Cell Selection: Neomycin 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 / 5 CPEB1 (NM_001079533) Human Tagged ORF Clone – RG213281 ORF Nucleotide >RG213281 representing NM_001079533 Sequence: Red=Cloning site Blue=ORF Green=Tags(s) TTTTGTAATACGACTCACTATAGGGCGGCCGGGAATTCGTCGACTGGATCCGGTACCGAGGAGATCTGCC GCCGCGATCGCC ATGCTTTTCCCAACCTCTGCGCAAGAATCTTCCCGTGGCCTCCCAGATGCAAATGACTTGTGCCTTGGCC TGCAGTCCCTCAGTCTGACAGGCTGGGACCGACCCTGGAGCACCCAGGACTCAGATTCCTCAGCCCAGAG CAGCACACACTCGGTACTGAGCATGCTCCATAACCCACTGGGAAATGTCCTAGGAAAACCCCCCTTGAGC TTCCTGCCTCTGGATCCCCTTGGGTCTGACTTGGTGGACAAGTTTCCAGCACCCTCAGTTAGAGGATCAC GCCTGGACACCCGGCCCATCCTGGACTCTCGATCTAGCAGCCCCTCTGACTCAGACACCAGTGGCTTCAG CTCTGGATCAGATCATCTCTCAGATTTGATTTCAAGCCTTCGCATTTCTCCACCTCTGCCCTTCCTGTCT CTGTCAGGGGGTGGTCCCAGAGACCCTTTAAAGATGGGGGTAGGGTCTCGGATGGACCAAGAGCAAGCTG CTCTTGCTGCAGTCACTCCCTCCCCAACCAGTGCTTCAAAGAGATGGCCAGGAGCTTCTGTGTGGCCATC CTGGGACCTCCTCGAAGCTCCCAAAGACCCCTTCAGCATAGAGAGAGAGGCCAGGCTGCACCGACAAGCT -
Revealing Transcription Factor and Histone Modification Co-Localization and Dynamics Across Cell Lines by Integrating Chip-Seq A
Zhang et al. BMC Genomics 2018, 19(Suppl 10):914 https://doi.org/10.1186/s12864-018-5278-5 RESEARCH Open Access Revealing transcription factor and histone modification co-localization and dynamics across cell lines by integrating ChIP-seq and RNA-seq data Lirong Zhang1*, Gaogao Xue1, Junjie Liu1, Qianzhong Li1* and Yong Wang2,3,4* From 29th International Conference on Genome Informatics Yunnan, China. 3-5 December 2018 Abstract Background: Interactions among transcription factors (TFs) and histone modifications (HMs) play an important role in the precise regulation of gene expression. The context specificity of those interactions and further its dynamics in normal and disease remains largely unknown. Recent development in genomics technology enables transcription profiling by RNA-seq and protein’s binding profiling by ChIP-seq. Integrative analysis of the two types of data allows us to investigate TFs and HMs interactions both from the genome co-localization and downstream target gene expression. Results: We propose a integrative pipeline to explore the co-localization of 55 TFs and 11 HMs and its dynamics in human GM12878 and K562 by matched ChIP-seq and RNA-seq data from ENCODE. We classify TFs and HMs into three types based on their binding enrichment around transcription start site (TSS). Then a set of statistical indexes are proposed to characterize the TF-TF and TF-HM co-localizations. We found that Rad21, SMC3, and CTCF co-localized across five cell lines. High resolution Hi-C data in GM12878 shows that they associate most of the Hi-C peak loci with a specific CTCF-motif “anchor” and supports that CTCF, SMC3, and RAD2 co-localization serves important role in 3D chromatin structure.