rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Transcriptional Profiling of Polarized Macrophages using RNA-Sequencing
  name:
    name part: Kanameni, Srikanth
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Zhou, Beiyan
    role:
      role term: thesis advisor.
  name:
    name part: Texas A & M University
    role:
      role term: degree granting institution.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: txu
    date issued: 2015
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: Adipose tissue macrophages (ATMs) are pivotal regulators for adipose tissue function, specifically contributing to the homeostasis of the adipose niche. Significantly increased ATMs and their altered activation patterns are causal factors to the pathogenesis of adipose tissue inflammation, and subsequently, obesity associated cardiovascular risks, type II diabetes and other metabolic syndromes. Macrophages primarily display an anti-inflammatory M2 status in lean adipose tissues whereas a pro-inflammatory M1 state in adipose tissues of obese individuals. Modulatory networks governing ATMs polarized activation have been investigated but the full picture remains vague. To understand the genome wide signaling networks in controlling ATM polarization, we generated transcriptome profiles from macrophages with various activation statuses- M0, M1 and M2. Among 23400 aligned unique loci from the RNA-sequencing results, around 3500 displayed differential expression pattern during macrophage polarization. The most enriched Gene Ontology terms in the category of KEGG pathways are allograft rejection and Type I diabetes mellitus pathways in M1 macrophages. IFNg was found to be one of the top upstream regulator in M1 playing pivotal role in different functional pathways. In addition, the anti-inflammatory regulator miR-223 was found to be one of top upstream regulator in M2 datasets and playing role in important functional pathways. Understanding of the complex network of interactions among different factors involved in state of polarization of macrophages would be of great advantage in finding solutions to major health issues. The electronic version of this dissertation is accessible from http://hdl.handle.net/1969.1/155022
  note: by Srikanth Kanameni.
  note: "Major Subject: Biomedical Sciences"
  note: Includes vita.
  note: Master of Science Texas A & M University 2015 http://hdl.handle.net/1969.1/155022
  note: Includes bibliographical references.
  note: Text (Thesis)
  subject:
    topic: Major Biomedical Sciences
  subject:
    topic: Macrophages
  subject:
    topic: RNA-Sequencing
  identifier: http://hdl.handle.net/1969.1/155022
  record info:
    record content source: TXA
    record creation date: 160226
    record change date: 20170928111957.0
    record identifier: in00003610276
    language of cataloging:
      language term: eng