A Human Embryonic Stem Cell Model of Aβ-Dependent Chronic
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
Genome-Wide DNA Methylation and Long-Term Ambient Air Pollution
Lee et al. Clinical Epigenetics (2019) 11:37 https://doi.org/10.1186/s13148-019-0635-z RESEARCH Open Access Genome-wide DNA methylation and long- term ambient air pollution exposure in Korean adults Mi Kyeong Lee1 , Cheng-Jian Xu2,3,4, Megan U. Carnes5, Cody E. Nichols1, James M. Ward1, The BIOS consortium, Sung Ok Kwon6, Sun-Young Kim7*†, Woo Jin Kim6*† and Stephanie J. London1*† Abstract Background: Ambient air pollution is associated with numerous adverse health outcomes, but the underlying mechanisms are not well understood; epigenetic effects including altered DNA methylation could play a role. To evaluate associations of long-term air pollution exposure with DNA methylation in blood, we conducted an epigenome- wide association study in a Korean chronic obstructive pulmonary disease cohort (N = 100 including 60 cases) using Illumina’s Infinium HumanMethylation450K Beadchip. Annual average concentrations of particulate matter ≤ 10 μmin diameter (PM10) and nitrogen dioxide (NO2) were estimated at participants’ residential addresses using exposure prediction models. We used robust linear regression to identify differentially methylated probes (DMPs) and two different approaches, DMRcate and comb-p, to identify differentially methylated regions (DMRs). Results: After multiple testing correction (false discovery rate < 0.05), there were 12 DMPs and 27 DMRs associated with PM10 and 45 DMPs and 57 DMRs related to NO2. DMP cg06992688 (OTUB2) and several DMRs were associated with both exposures. Eleven DMPs in relation to NO2 confirmed previous findings in Europeans; the remainder were novel. Methylation levels of 39 DMPs were associated with expression levels of nearby genes in a separate dataset of 3075 individuals. -
Investigation of the Underlying Hub Genes and Molexular Pathogensis in Gastric Cancer by Integrated Bioinformatic Analyses
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 2020. 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. Investigation of the underlying hub genes and molexular pathogensis in gastric cancer by integrated bioinformatic analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 2020. 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 The high mortality rate of gastric cancer (GC) is in part due to the absence of initial disclosure of its biomarkers. The recognition of important genes associated in GC is therefore recommended to advance clinical prognosis, diagnosis and and treatment outcomes. The current investigation used the microarray dataset GSE113255 RNA seq data from the Gene Expression Omnibus database to diagnose differentially expressed genes (DEGs). Pathway and gene ontology enrichment analyses were performed, and a proteinprotein interaction network, modules, target genes - miRNA regulatory network and target genes - TF regulatory network were constructed and analyzed. Finally, validation of hub genes was performed. The 1008 DEGs identified consisted of 505 up regulated genes and 503 down regulated genes. -
Supplementary Table S2
1-high in cerebrotropic Gene P-value patients Definition BCHE 2.00E-04 1 Butyrylcholinesterase PLCB2 2.00E-04 -1 Phospholipase C, beta 2 SF3B1 2.00E-04 -1 Splicing factor 3b, subunit 1 BCHE 0.00022 1 Butyrylcholinesterase ZNF721 0.00028 -1 Zinc finger protein 721 GNAI1 0.00044 1 Guanine nucleotide binding protein (G protein), alpha inhibiting activity polypeptide 1 GNAI1 0.00049 1 Guanine nucleotide binding protein (G protein), alpha inhibiting activity polypeptide 1 PDE1B 0.00069 -1 Phosphodiesterase 1B, calmodulin-dependent MCOLN2 0.00085 -1 Mucolipin 2 PGCP 0.00116 1 Plasma glutamate carboxypeptidase TMX4 0.00116 1 Thioredoxin-related transmembrane protein 4 C10orf11 0.00142 1 Chromosome 10 open reading frame 11 TRIM14 0.00156 -1 Tripartite motif-containing 14 APOBEC3D 0.00173 -1 Apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like 3D ANXA6 0.00185 -1 Annexin A6 NOS3 0.00209 -1 Nitric oxide synthase 3 SELI 0.00209 -1 Selenoprotein I NYNRIN 0.0023 -1 NYN domain and retroviral integrase containing ANKFY1 0.00253 -1 Ankyrin repeat and FYVE domain containing 1 APOBEC3F 0.00278 -1 Apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like 3F EBI2 0.00278 -1 Epstein-Barr virus induced gene 2 ETHE1 0.00278 1 Ethylmalonic encephalopathy 1 PDE7A 0.00278 -1 Phosphodiesterase 7A HLA-DOA 0.00305 -1 Major histocompatibility complex, class II, DO alpha SOX13 0.00305 1 SRY (sex determining region Y)-box 13 ABHD2 3.34E-03 1 Abhydrolase domain containing 2 MOCS2 0.00334 1 Molybdenum cofactor synthesis 2 TTLL6 0.00365 -1 Tubulin tyrosine ligase-like family, member 6 SHANK3 0.00394 -1 SH3 and multiple ankyrin repeat domains 3 ADCY4 0.004 -1 Adenylate cyclase 4 CD3D 0.004 -1 CD3d molecule, delta (CD3-TCR complex) (CD3D), transcript variant 1, mRNA. -
Transposable Elements Resistant to Epigenetic Resetting in the Human Germline Are Epigenetic Hotspots for Development and Disease
bioRxiv preprint doi: https://doi.org/10.1101/2020.03.19.998930; this version posted March 20, 2020. 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-NC-ND 4.0 International license. 1 Transposable elements resistant to epigenetic resetting in the human germline are epigenetic hotspots for development and disease Sabine Dietmann1,2,3,11*, Michael J Keogh4,5,11, Walfred Tang2, Erna Magnusdottir6, Toshihiro Kobayashi7,8, Patrick F Chinnery5,9 and M. Azim Surani 1,2,10* ** 1. Wellcome Trust – Medical Research Council Stem Cell Institute, University of Cambridge, UK 2. Wellcome Trust/Cancer Research UK Gurdon Institute, University of Cambridge, Cambridge, UK 3. Department of Developmental Biology and Division of Nephrology, Washington University School of Medicine, St. Louis, MO, USA 4. Institute of Genetic Medicine, Newcastle University, Newcastle Upon Tyne, UK 5. MRC-Mitochondrial Biology Unit, University of Cambridge, Cambridge, UK 6. Department of Biomedical Science and Anatomy, Faculty of Medicine, University of Iceland, Reykjavik, Iceland 7. Section of Mammalian Transgenesis, Center for Genetic Analysis of Behavior, National Institute for Physiological Sciences, Okazaki, Japan 8. Department of Physiological Sciences, The Graduate University of Advanced Studies, Okazaki, Japan 9. Department of Clinical Neurosciences, Cambridge Biomedical Campus, University of Cambridge, Cambridge, UK 10. Department of Physiology and Development of Neuroscience, University of Cambridge, UK 11. These authors contributed equally * Co-corresponding authors; [email protected]; [email protected] ** lead contact:[email protected] bioRxiv preprint doi: https://doi.org/10.1101/2020.03.19.998930; this version posted March 20, 2020. -
Identification of Potential Key Genes and Pathway Linked with Sporadic Creutzfeldt-Jakob Disease Based on Integrated Bioinformatics Analyses
medRxiv preprint doi: https://doi.org/10.1101/2020.12.21.20248688; this version posted December 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Identification of potential key genes and pathway linked with sporadic Creutzfeldt-Jakob disease based on integrated bioinformatics analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. medRxiv preprint doi: https://doi.org/10.1101/2020.12.21.20248688; this version posted December 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Abstract Sporadic Creutzfeldt-Jakob disease (sCJD) is neurodegenerative disease also called prion disease linked with poor prognosis. The aim of the current study was to illuminate the underlying molecular mechanisms of sCJD. The mRNA microarray dataset GSE124571 was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened. -
Plasma Cells in Vitro Generation of Long-Lived Human
Downloaded from http://www.jimmunol.org/ by guest on September 24, 2021 is online at: average * The Journal of Immunology , 32 of which you can access for free at: 2012; 189:5773-5785; Prepublished online 16 from submission to initial decision 4 weeks from acceptance to publication November 2012; doi: 10.4049/jimmunol.1103720 http://www.jimmunol.org/content/189/12/5773 In Vitro Generation of Long-lived Human Plasma Cells Mario Cocco, Sophie Stephenson, Matthew A. Care, Darren Newton, Nicholas A. Barnes, Adam Davison, Andy Rawstron, David R. Westhead, Gina M. Doody and Reuben M. Tooze J Immunol cites 65 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription http://www.jimmunol.org/content/suppl/2012/11/16/jimmunol.110372 0.DC1 This article http://www.jimmunol.org/content/189/12/5773.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2012 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 24, 2021. The Journal of Immunology In Vitro Generation of Long-lived Human Plasma Cells Mario Cocco,*,1 Sophie Stephenson,*,1 Matthew A. -
Gene Section Review
Atlas of Genetics and Cytogenetics in Oncology and Haematology OPEN ACCESS JOURNAL AT INIST-CNRS Gene Section Review PARVB (parvin, beta) Cameron N Johnstone Cancer Metastasis Laboratory, Research Division, Peter MacCallum Cancer Centre, 2 St Andrew's Place, East Melbourne, 3002, Victoria, Australia (CNJ) Published in Atlas Database: April 2010 Online updated version : http://AtlasGeneticsOncology.org/Genes/PARVBID46486ch22q13.html DOI: 10.4267/2042/44936 This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 2.0 France Licence. © 2011 Atlas of Genetics and Cytogenetics in Oncology and Haematology Identity DNA/RNA Other names: CGI-56, affixin, beta-parvin Note HGNC (Hugo): PARVB Genethon marker D22S1171 is located at the 5' end of Location: 22q13.31 the gene (Mongroo et al., 2004). Genethon marker Local order: PARVB is located telomeric to the D22S1171 is located between exon 2 and exon 1A of SAMM50 gene and centromeric to the PARVG gene the PARVB gene. at 22q13.31. The PARVA gene is located at 11p15.3. Figure A. Generation of transcript diversity by alternative promoter usage. Horizontal lines above the gene structure indicate human genomic DNA BAC clones. The NCBI accession numbers of the clones, and clone names (in brackets) are shown. Figure adapted from Mongroo et al., 2004. Atlas Genet Cytogenet Oncol Haematol. 2011; 15(1) 34 PARVB (parvin, beta) Johnstone CN Figure B. Human polyA+ RNA Multiple Tissue Northern blot (Origene) probed with full-length PARVB1 cDNA probe radiolabeled to a specific activity of > 5 x 108 cpm / mg (Johnstone C.N., unpublished). The two PARVB mRNA transcripts are indicated. -
Expression of Parvin-Β Is a Prognostic Factor for Patients with Urothelial Cell
British Journal of Cancer (2010) 103, 852 – 860 & 2010 Cancer Research UK All rights reserved 0007 – 0920/10 www.bjcancer.com Expression of parvin-b is a prognostic factor for patients with urothelial cell carcinoma of the upper urinary tract 1,2 3 1 4,5 4 6 2,7 ,2,4, C-F Wu , K-F Ng , C-S Chen , P-L Chang , C-K Chuang , W-H Weng , S-K Liao and S-T Pang* 1Department of Surgery, Division of Urology, Chia-Yi Chang Gung Memorial Hospital, Chia-Yi, Taiwan; 2Graduate Institute of Clinical Medical Sciences, Chang Gung University, Kwei-shan, Taoyuan, Taiwan; 3Department of Pathology, Lin-Kou Chang Gung Memorial Hospital, Kwei-shan, Taoyuan, Taiwan; 4 5 Department of Surgery, Division of Urology, Lin-Kou Chang Gung Memorial Hospital, No. 5, Fushing Road, Kwei-Shan, Taoyuan, Taiwan; Chang Gung 6 Bioinformatics Center, Lin-Kou Chang Gung Memorial Hospital, Kwei-shan, Taoyuan, Taiwan; Department of Chemical Engineering and Biotechnology, 7 Graduate Institute of Biotechnology, National Taipei University of Technology, Taipei, Taiwan; Cancer Immunotherapy Program, Taipei Medical University Hospital, Taipei, Taiwan BACKGROUND: Parvin-b (ParvB), a potential tumour suppressor gene, is a focal adhesion protein. We evaluated the role of ParvB in the upper urinary tract urothelial cell carcinoma (UUT-UC). METHODS: ParvB mRNA and proteins levels in UUT-UC tissue were investigated by quantitative real-time polymerase chain reaction and western blot analysis, respectively. In addition, the expression of ParvB in tissues from patients with UUT-UC at different stages was evaluated by immunohistochemistry. Furthermore, biological functions of ParvB in urothelial cancer cells were investigated using a doxycycline-inducible overexpression system and siRNA. -
Transcriptome Profiling of Cleft Palate Intgf-Beta3 Knockout Mice Alleles: RNA-SEQ Analysis of TGF-Beta3 Mice" (2017)
University of Nebraska Medical Center DigitalCommons@UNMC Theses & Dissertations Graduate Studies Fall 12-15-2017 Transcriptome Profiling of Cleft alateP inTGF-beta3 Knockout Mice Alleles: RNA-SEQ Analysis of TGF-beta3 Mice Kelsey White University of Nebraska Medical Center Follow this and additional works at: https://digitalcommons.unmc.edu/etd Part of the Bioinformatics Commons, and the Developmental Biology Commons Recommended Citation White, Kelsey, "Transcriptome Profiling of Cleft Palate inTGF-beta3 Knockout Mice Alleles: RNA-SEQ Analysis of TGF-beta3 Mice" (2017). Theses & Dissertations. 239. https://digitalcommons.unmc.edu/etd/239 This Thesis is brought to you for free and open access by the Graduate Studies at DigitalCommons@UNMC. It has been accepted for inclusion in Theses & Dissertations by an authorized administrator of DigitalCommons@UNMC. For more information, please contact [email protected]. TRANSCRIPTOME PROFILING OF CLEFT PALATE IN TGF-3 KNOCKOUT MICE ALLELES: RNA-SEQ ANALYSIS OF TGF-3 MICE By Kelsey Marie White, D.D.S. A THESIS Presented to the Faculty of the University of Nebraska Graduate College in Partial Fulfillment of Requirements for the Degree of Master of Science Medical Sciences Interdepartmental Area Graduate Program (Oral Biology) Under the Supervision of Ali Nawshad, Ph.D. University of Nebraska Medical Center Omaha, Nebraska December, 2017 Advisory Committee: Peter Giannini, D.D.S., M.S Ali Nawshad, Ph.D. S. Prem Premaraj, B.D.S., M.S., Ph. D. FRCD(C) Hasan Otu, Ph.D. i ACKNOWLEDGEMENTS First, I would like to sincerely thank my leader and mentor, Dr. Ali Nawshad, for the opportunity to work with and learn from him. -
Replicability Assessment of Disease Expression Signals
bioRxiv preprint doi: https://doi.org/10.1101/128439; this version posted December 26, 2018. 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-NC-ND 4.0 International license. 1 Not by systems alone: replicability assessment of disease expression 2 signals 3 4 Authors: 5 Sara Ballouz,1 6 Max Dӧrfel,1,2+ 7 Megan Crow,1 8 Jonathan Crain,1,3+ 9 Laurence Faivre,4,5 10 Catherine E. Keegan,6 11 Sophia Kitsiou-Tzeli,7 12 Maria Tzetis,7 13 Gholson J. Lyon, 1,8+ 14 Jesse Gillis*,1 15 Affiliations: 16 1 The Stanley Institute for Cognitive Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, 17 11724, USA 18 2 Oxacell AG, Helene-Lange-Straße 12, 14469 Potsdam, Germany 19 3 Department of Chemistry, Stony Brook University, Stony Brook, NY, 11794, USA 20 4 GAD team, INSERM UMR 1231, Université Bourgogne Franche-Comté, Dijon, France 21 5 Centre de Référence Maladies Rares Anomalies du Développement et FHU TRANSLAD, CHU Dijon, 22 Dijon, France; 23 6 Department of Pediatrics, Division of Genetics and Department of Human Genetics, University of 24 Michigan, Ann Arbor, MI 48109, USA 25 7 Department of Medical Genetics, National Kapodistrian University of Athens, Athens, Greece; 26 8 Institute for Basic Research in Developmental Disabilities (IBR), Staten Island, New York, USA 27 * Corresponding author: Dr Jesse Gillis, The Stanley Institute for Cognitive Genomics, Cold Spring Harbor 28 Laboratory, Cold Spring Harbor, NY, 11724, USA 29 + Current addresses 30 Contact Information: 31 JG: [email protected] 32 GJL: [email protected] 33 SB: [email protected] 34 MD: [email protected] 35 MC: [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/128439; this version posted December 26, 2018. -
Differences in Gene Expression Profiles and Carcinogenesis Pathways Involved in Cisplatin Resistance of Four Types of Cancer
596 ONCOLOGY REPORTS 30: 596-614, 2013 Differences in gene expression profiles and carcinogenesis pathways involved in cisplatin resistance of four types of cancer YONG YANG1,2, HUI LI1,2, SHENGCAI HOU1,2, BIN HU1,2, JIE LIU1,3 and JUN WANG1,3 1Beijing Key Laboratory of Respiratory and Pulmonary Circulation, Capital Medical University, Beijing 100069; 2Department of Thoracic Surgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020; 3Department of Physiology, Capital Medical University, Beijing 100069, P.R. China Received December 23, 2012; Accepted March 4, 2013 DOI: 10.3892/or.2013.2514 Abstract. Cisplatin-based chemotherapy is the standard Introduction therapy used for the treatment of several types of cancer. However, its efficacy is largely limited by the acquired drug Cisplatin is primarily effective through DNA damage and is resistance. To date, little is known about the RNA expression widely used for the treatment of several types of cancer, such changes in cisplatin-resistant cancers. Identification of the as testicular, lung and ovarian cancer. However, the ability RNAs related to cisplatin resistance may provide specific of cancer cells to become resistant to cisplatin remains a insight into cancer therapy. In the present study, expression significant impediment to successful chemotherapy. Although profiling of 7 cancer cell lines was performed using oligo- previous studies have identified numerous mechanisms in nucleotide microarray analysis data obtained from the GEO cisplatin resistance, it remains a major problem that severely database. Bioinformatic analyses such as the Gene Ontology limits the usefulness of this chemotherapeutic agent. Therefore, (GO) and KEGG pathway were used to identify genes and it is crucial to examine more elaborate mechanisms of cisplatin pathways specifically associated with cisplatin resistance.