Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
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PARSANA-DISSERTATION-2020.Pdf
DECIPHERING TRANSCRIPTIONAL PATTERNS OF GENE REGULATION: A COMPUTATIONAL APPROACH by Princy Parsana A dissertation submitted to The Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland July, 2020 © 2020 Princy Parsana All rights reserved Abstract With rapid advancements in sequencing technology, we now have the ability to sequence the entire human genome, and to quantify expression of tens of thousands of genes from hundreds of individuals. This provides an extraordinary opportunity to learn phenotype relevant genomic patterns that can improve our understanding of molecular and cellular processes underlying a trait. The high dimensional nature of genomic data presents a range of computational and statistical challenges. This dissertation presents a compilation of projects that were driven by the motivation to efficiently capture gene regulatory patterns in the human transcriptome, while addressing statistical and computational challenges that accompany this data. We attempt to address two major difficulties in this domain: a) artifacts and noise in transcriptomic data, andb) limited statistical power. First, we present our work on investigating the effect of artifactual variation in gene expression data and its impact on trans-eQTL discovery. Here we performed an in-depth analysis of diverse pre-recorded covariates and latent confounders to understand their contribution to heterogeneity in gene expression measurements. Next, we discovered 673 trans-eQTLs across 16 human tissues using v6 data from the Genotype Tissue Expression (GTEx) project. Finally, we characterized two trait-associated trans-eQTLs; one in Skeletal Muscle and another in Thyroid. Second, we present a principal component based residualization method to correct gene expression measurements prior to reconstruction of co-expression networks. -
Arabidopsis Adaptor Protein 1G2 Is Required for Female and Male Gametogenesis
Arabidopsis adaptor protein 1G2 is required for female and male gametogenesis Yongmei Zhou Fujian Agriculture and Forestry University Wenqin Fang Fujian Agriculture and Forestry University Li-Yu Chen Fujian Agriculture and Forestry University Neha Pandey Fujian Agriculture and Forestry University Azam Syed Muhammad Fujian Agriculture and Forestry University Ray Ming ( [email protected] ) University of Illinois at Urbana-Champaign https://orcid.org/0000-0002-9417-5789 Research article Keywords: Arabidopsis, AP1G2, megagametogenesis, microgametogenesis, development. Posted Date: November 12th, 2019 DOI: https://doi.org/10.21203/rs.2.17134/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/22 Abstract Background: The gametophyte s are essential for the productive process in angiosperms. During sexual reproduction in owering plants, haploid spores are formed from meioses of spore mother cells. The spores then undergo mitosis and develop into female and male gametes and give rise to seeds after fertilization. Results: We identied a female sterile mutant from EMS mutagenesis, and a BC1F2 population was generated for map based cloning of the causal gene. Genome re-sequencing of mutant and non-mutant pools revealed a candidate gene, AP1G2 . Analyses of two insertions mutants, ap1g2-1 +/- in exon 7 and ap1g2-3 -/- in 3’ UTR, revealed partial female sterility. Complementation test using native promoter of AP1G2 restored the function in ap1g2-1 +/- and ap1g2-3 -/- . AP1G2 is a paralog of AP1G1 , encoding the large subunit (γ) of adaptor protein-1 (AP-1). ap1g2 mutation led to defective female and male gametophyte development was determined. -
Chromatin State Barriers Enforce an Irreversible Mammalian Cell Fate Decision
bioRxiv preprint doi: https://doi.org/10.1101/2021.05.12.443709; this version posted May 14, 2021. 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. Chromatin state barriers… Blanco et al. 2021 Chromatin state barriers enforce an irreversible mammalian cell fate decision M. Andrés Blanco1,19,*,†,, David B. Sykes6,8,19, Lei Gu2,15,17,18,19, Mengjun Wu2,4,15, Ricardo Petroni1, Rahul Karnik7,8,9, Mathias Wawer10, Joshua Rico1, Haitao Li1, William D. Jacobus2,12,15, Ashwini Jambhekar2,15,11, Sihem Cheloufi5, Alexander Meissner7,8,9,13, Konrad Hochedlinger6,7,8,14, David T. Scadden6,8,9,*, and Yang Shi2,3,* 1 Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA 2 Division of Newborn Medicine, Boston Children’s Hospital, Boston, MA 02115, USA 3 Ludwig Institute for Cancer Research, Oxford Branch, Oxford University, UK 4 Current address: The Bioinformatics Centre, Department of Biology and Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark 5 Department of Biochemistry, Stem Cell Center, University of California, Riverside, Riverside, CA 92521, USA. 6 Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA. 7 Broad Institute of MIT and Harvard, Cambridge, MA, USA 8 Harvard Stem Cell Institute, Cambridge, Massachusetts, -
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. -
Edinburgh Research Explorer
Edinburgh Research Explorer International Union of Basic and Clinical Pharmacology. LXXXVIII. G protein-coupled receptor list Citation for published version: Davenport, AP, Alexander, SPH, Sharman, JL, Pawson, AJ, Benson, HE, Monaghan, AE, Liew, WC, Mpamhanga, CP, Bonner, TI, Neubig, RR, Pin, JP, Spedding, M & Harmar, AJ 2013, 'International Union of Basic and Clinical Pharmacology. LXXXVIII. G protein-coupled receptor list: recommendations for new pairings with cognate ligands', Pharmacological reviews, vol. 65, no. 3, pp. 967-86. https://doi.org/10.1124/pr.112.007179 Digital Object Identifier (DOI): 10.1124/pr.112.007179 Link: Link to publication record in Edinburgh Research Explorer Document Version: Publisher's PDF, also known as Version of record Published In: Pharmacological reviews Publisher Rights Statement: U.S. Government work not protected by U.S. copyright General rights Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policy The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer content complies with UK legislation. If you believe that the public display of this file breaches copyright please contact [email protected] providing details, and we will remove access to the work immediately and investigate your claim. Download date: 02. Oct. 2021 1521-0081/65/3/967–986$25.00 http://dx.doi.org/10.1124/pr.112.007179 PHARMACOLOGICAL REVIEWS Pharmacol Rev 65:967–986, July 2013 U.S. -
Seq2pathway Vignette
seq2pathway Vignette Bin Wang, Xinan Holly Yang, Arjun Kinstlick May 19, 2021 Contents 1 Abstract 1 2 Package Installation 2 3 runseq2pathway 2 4 Two main functions 3 4.1 seq2gene . .3 4.1.1 seq2gene flowchart . .3 4.1.2 runseq2gene inputs/parameters . .5 4.1.3 runseq2gene outputs . .8 4.2 gene2pathway . 10 4.2.1 gene2pathway flowchart . 11 4.2.2 gene2pathway test inputs/parameters . 11 4.2.3 gene2pathway test outputs . 12 5 Examples 13 5.1 ChIP-seq data analysis . 13 5.1.1 Map ChIP-seq enriched peaks to genes using runseq2gene .................... 13 5.1.2 Discover enriched GO terms using gene2pathway_test with gene scores . 15 5.1.3 Discover enriched GO terms using Fisher's Exact test without gene scores . 17 5.1.4 Add description for genes . 20 5.2 RNA-seq data analysis . 20 6 R environment session 23 1 Abstract Seq2pathway is a novel computational tool to analyze functional gene-sets (including signaling pathways) using variable next-generation sequencing data[1]. Integral to this tool are the \seq2gene" and \gene2pathway" components in series that infer a quantitative pathway-level profile for each sample. The seq2gene function assigns phenotype-associated significance of genomic regions to gene-level scores, where the significance could be p-values of SNPs or point mutations, protein-binding affinity, or transcriptional expression level. The seq2gene function has the feasibility to assign non-exon regions to a range of neighboring genes besides the nearest one, thus facilitating the study of functional non-coding elements[2]. Then the gene2pathway summarizes gene-level measurements to pathway-level scores, comparing the quantity of significance for gene members within a pathway with those outside a pathway. -
Regulation of Oxidized Base Damage Repair by Chromatin Assembly Factor 1 Subunit a Chunying Yang1,*,†, Shiladitya Sengupta1,2,*,†, Pavana M
Published online 27 October 2016 Nucleic Acids Research, 2017, Vol. 45, No. 2 739–748 doi: 10.1093/nar/gkw1024 Regulation of oxidized base damage repair by chromatin assembly factor 1 subunit A Chunying Yang1,*,†, Shiladitya Sengupta1,2,*,†, Pavana M. Hegde1,JoyMitra1, Shuai Jiang3, Brooke Holey3, Altaf H. Sarker3, Miaw-Sheue Tsai3, Muralidhar L. Hegde1,2,4 and Sankar Mitra1,2,* 1Department of Radiation Oncology, Houston Methodist Research Institute, Houston, TX 77030, USA, 2Weill Cornell Medical College, Cornell University, New York, NY 10065, USA, 3Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA and 4Houston Methodist Neurological Institute, Houston, TX 77030, USA Received March 23, 2016; Revised October 13, 2016; Editorial Decision October 17, 2016; Accepted October 19, 2016 ABSTRACT INTRODUCTION Reactive oxygen species (ROS), generated both en- ROS, continuously generated in mammalian cells both en- dogenously and in response to exogenous stress, in- dogenously and by environmental genotoxicants, induce duce point mutations by mis-replication of oxidized various genomic lesions, including oxidized bases, abasic bases and other lesions in the genome. Repair of (AP) sites and single-strand breaks (SSBs). If unrepaired or these lesions via base excision repair (BER) pathway mis-repaired, DNA lesions would cause mutations which may lead to cytotoxicity and cell death and also carcino- maintains genomic fidelity. Regulation of the BER genic transformation (1). The base excision repair (BER) pathway for mutagenic oxidized bases, initiated by pathway, responsible for repair of oxidized base lesions NEIL1 and other DNA glycosylases at the chromatin which contribute to drug/radiation sensitivity is highly con- level remains unexplored. -
Monitoring Nociception by Analyzing Gene Expression Changes in the Central Nervous System of Mice
Zurich Open Repository and Archive University of Zurich Main Library Strickhofstrasse 39 CH-8057 Zurich www.zora.uzh.ch Year: 2010 Monitoring nociception by analyzing gene expression changes in the central nervous system of mice Asner, I N Posted at the Zurich Open Repository and Archive, University of Zurich ZORA URL: https://doi.org/10.5167/uzh-46678 Dissertation Originally published at: Asner, I N. Monitoring nociception by analyzing gene expression changes in the central nervous system of mice. 2010, University of Zurich, Vetsuisse Faculty. Monitoring Nociception by Analyzing Gene Expression Changes in the Central Nervous System of Mice Dissertation zur Erlangung der naturwissenschaftlichen Doktorwürde (Dr. sc. nat) vorgelegt der Mathematisch-naturwissenschaftlichen Fakultät der Universität Zürich von Igor Asner von St. Cergue VD Promotionskomitee Prof. Dr. Peter Sonderegger Prof. Dr. Kurt Bürki Prof. Dr. Hanns Ulrich Zeilhofer Dr. Paolo Cinelli (Leitung der Dissertation) Zürich, 2010 Table of contents Table of content Curriculum vitae 6 Publications 9 Summary 11 Zusammenfassung 14 1. Introduction 17 1.1. Pain and nociception 17 1.1.1 Nociceptive neurons and Mechanoceptors 18 1.1.2 Activation of the nociceptive neurons at the periphery 21 1.1.2.1 Response to noxious heat 22 1.1.2.2 Response to noxious cold 23 1.1.2.3 Response to mechanical stress 24 1.1.3 Nociceptive message processing in the Spinal Cord 25 1.1.3.1 The lamina I and the ascending pathways 25 1.1.3.2 The lamina II and the descending pathways 26 1.1.4 Pain processing and integration in the brain 27 1.1.4.1 The Pain Matrix 27 1.1.4.2 Activation of the descending pathways 29 1.1.5 Inflammatory Pain 31 1.2. -
Transcriptome-Wide Profiling of Cerebral Cavernous Malformations
www.nature.com/scientificreports OPEN Transcriptome-wide Profling of Cerebral Cavernous Malformations Patients Reveal Important Long noncoding RNA molecular signatures Santhilal Subhash 2,8, Norman Kalmbach3, Florian Wegner4, Susanne Petri4, Torsten Glomb5, Oliver Dittrich-Breiholz5, Caiquan Huang1, Kiran Kumar Bali6, Wolfram S. Kunz7, Amir Samii1, Helmut Bertalanfy1, Chandrasekhar Kanduri2* & Souvik Kar1,8* Cerebral cavernous malformations (CCMs) are low-fow vascular malformations in the brain associated with recurrent hemorrhage and seizures. The current treatment of CCMs relies solely on surgical intervention. Henceforth, alternative non-invasive therapies are urgently needed to help prevent subsequent hemorrhagic episodes. Long non-coding RNAs (lncRNAs) belong to the class of non-coding RNAs and are known to regulate gene transcription and involved in chromatin remodeling via various mechanism. Despite accumulating evidence demonstrating the role of lncRNAs in cerebrovascular disorders, their identifcation in CCMs pathology remains unknown. The objective of the current study was to identify lncRNAs associated with CCMs pathogenesis using patient cohorts having 10 CCM patients and 4 controls from brain. Executing next generation sequencing, we performed whole transcriptome sequencing (RNA-seq) analysis and identifed 1,967 lncRNAs and 4,928 protein coding genes (PCGs) to be diferentially expressed in CCMs patients. Among these, we selected top 6 diferentially expressed lncRNAs each having signifcant correlative expression with more than 100 diferentially expressed PCGs. The diferential expression status of the top lncRNAs, SMIM25 and LBX2-AS1 in CCMs was further confrmed by qRT-PCR analysis. Additionally, gene set enrichment analysis of correlated PCGs revealed critical pathways related to vascular signaling and important biological processes relevant to CCMs pathophysiology. -
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 Data
SUPPLEMENTARY DATA A cyclin D1-dependent transcriptional program predicts clinical outcome in mantle cell lymphoma Santiago Demajo et al. 1 SUPPLEMENTARY DATA INDEX Supplementary Methods p. 3 Supplementary References p. 8 Supplementary Tables (S1 to S5) p. 9 Supplementary Figures (S1 to S15) p. 17 2 SUPPLEMENTARY METHODS Western blot, immunoprecipitation, and qRT-PCR Western blot (WB) analysis was performed as previously described (1), using cyclin D1 (Santa Cruz Biotechnology, sc-753, RRID:AB_2070433) and tubulin (Sigma-Aldrich, T5168, RRID:AB_477579) antibodies. Co-immunoprecipitation assays were performed as described before (2), using cyclin D1 antibody (Santa Cruz Biotechnology, sc-8396, RRID:AB_627344) or control IgG (Santa Cruz Biotechnology, sc-2025, RRID:AB_737182) followed by protein G- magnetic beads (Invitrogen) incubation and elution with Glycine 100mM pH=2.5. Co-IP experiments were performed within five weeks after cell thawing. Cyclin D1 (Santa Cruz Biotechnology, sc-753), E2F4 (Bethyl, A302-134A, RRID:AB_1720353), FOXM1 (Santa Cruz Biotechnology, sc-502, RRID:AB_631523), and CBP (Santa Cruz Biotechnology, sc-7300, RRID:AB_626817) antibodies were used for WB detection. In figure 1A and supplementary figure S2A, the same blot was probed with cyclin D1 and tubulin antibodies by cutting the membrane. In figure 2H, cyclin D1 and CBP blots correspond to the same membrane while E2F4 and FOXM1 blots correspond to an independent membrane. Image acquisition was performed with ImageQuant LAS 4000 mini (GE Healthcare). Image processing and quantification were performed with Multi Gauge software (Fujifilm). For qRT-PCR analysis, cDNA was generated from 1 µg RNA with qScript cDNA Synthesis kit (Quantabio). qRT–PCR reaction was performed using SYBR green (Roche). -
NF-Y Inactivation Causes Atypical Neurodegeneration Characterized by Ubiquitin and P62 Accumulation and Endoplasmic Reticulum Disorganization
ARTICLE Received 25 Jul 2013 | Accepted 30 Jan 2014 | Published 25 Feb 2014 DOI: 10.1038/ncomms4354 NF-Y inactivation causes atypical neurodegeneration characterized by ubiquitin and p62 accumulation and endoplasmic reticulum disorganization Tomoyuki Yamanaka1,2,3,4, Asako Tosaki2,4, Masaru Kurosawa1,2,3,4, Gen Matsumoto1,2,3,4, Masato Koike5, Yasuo Uchiyama5, Sankar N. Maity6, Tomomi Shimogori3, Nobutaka Hattori7 & Nobuyuki Nukina1,2,3,4 Nuclear transcription factor-Y (NF-Y), a key regulator of cell-cycle progression, often loses its activity during differentiation into nonproliferative cells. In contrast, NF-Y is still active in mature, differentiated neurons, although its neuronal significance remains obscure. Here we show that conditional deletion of the subunit NF-YA in postmitotic mouse neurons induces progressive neurodegeneration with distinctive ubiquitin/p62 pathology; these proteins are not incorporated into filamentous inclusion but co-accumulated with insoluble membrane proteins broadly on endoplasmic reticulum (ER). The degeneration also accompanies drastic ER disorganization, that is, an aberrant increase in ribosome-free ER in the perinuclear region, without inducing ER stress response. We further perform chromatin immunoprecipitation and identify several NF-Y physiological targets including Grp94 potentially involved in ER disorganization. We propose that NF-Y is involved in a unique regulation mechanism of ER organization in mature neurons and its disruption causes previously undescribed novel neuropathology accompanying abnormal ubiquitin/p62 accumulation. 1 Department of Neuroscience for Neurodegenerative Disorders, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-8421, Japan. 2 Laboratory for Structural Neuropathology, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan.