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Approaches of the transcriptomic analysis in astrocytes: Potential pharmacological targets

  • George E. Barreto
  • , Rosa M. Gómez
  • , Rosa Helena Bustos
  • , Diego A. Forero
  • , Gjumrakch Aliev
  • , Vadim V. Tarasov
  • , Nagendra S. Yarla
  • , Valentina Echeverria
  • , Janneth Gonzalez
  • Universidad Javeriana
  • Universidad Autónoma de Chile
  • Fundación de Neuroregeneración en Colombia
  • Universidad de la Sabana
  • Universidad Antonio Nariño
  • University of Atlanta
  • GALLY International Biomedical Research Consulting LLC
  • Russian Academy of Sciences
  • Sechenov First Moscow State Medical University
  • Gandhi Institute of Technology and Management
  • Universidad San Sebastián

Research output: Contribution to journalReview articlepeer-review

Abstract

Astrocytes are important glial cells involved in the ionic regulation of the extracellular fluid in the Central Nervous System (CNS), the formation of the blood brain barrier (BBB) and the support to neurons for the maintenance of the Krebs cycle intermediaries. Even though these cells are known to be important for the brain functioning, several of their functions and their development have not been fully elucidated. In this context, identifying the algorithms used for their analysis plays a pivotal role in the development of new strategies in the study of astrocytes. The main objective of this review is to summarize the techniques that have helped to obtain transcriptomic data in astrocytes and the new algorithms that were used to perform the analysis of experimental data, elucidating new studies in which these had been used. We also highlight the current transcriptomics approaches targeting astrocytes function as a possible target for pharmacological interventions.

Original languageEnglish
Pages (from-to)4189-4197
Number of pages9
JournalCurrent Pharmaceutical Design
Volume23
Issue number28
DOIs
Publication statusPublished - 1 Aug 2017
Externally publishedYes

Keywords

  • Astrocytes
  • Blood brain barrier
  • Brain
  • Central nervous system
  • Neurological disorders
  • Transcriptome methods

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