Your browser doesn't support javascript.
loading
Single-cell RNA sequencing reveals a heterogeneous response to Glucocorticoids in breast cancer cells.
Hoffman, Jackson A; Papas, Brian N; Trotter, Kevin W; Archer, Trevor K.
Afiliação
  • Hoffman JA; Chromatin and Gene Expression Section, Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, NC, USA.
  • Papas BN; Integrative Bioinformatics, Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, NC, USA.
  • Trotter KW; Chromatin and Gene Expression Section, Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, NC, USA.
  • Archer TK; Chromatin and Gene Expression Section, Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, NC, USA. trevor.archer@nih.gov.
Commun Biol ; 3(1): 126, 2020 03 13.
Article em En | MEDLINE | ID: mdl-32170217
ABSTRACT
Steroid hormone receptors such as the Glucocorticoid Receptor (GR) mediate transcriptional responses to hormones and are frequently targeted in the treatment of human diseases. Experiments using bulk populations of cells have provided a detailed picture of the global transcriptional hormone response but are unable to interrogate cell-to-cell transcriptional heterogeneity. To examine the glucocorticoid response in individual cells, we performed single cell RNA sequencing (scRNAseq) in a human breast cancer cell line. The transcriptional response to hormone was robustly detected in individual cells and scRNAseq provided additional statistical power to identify over 100 GR-regulated genes that were not detected in bulk RNAseq. scRNAseq revealed striking cell-to-cell variability in the hormone response. On average, individual hormone-treated cells showed a response at only 30% of the total set of GR target genes. Understanding the basis of this heterogeneity will be critical for the development of more precise models of steroid hormone signaling.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Dexametasona / Análise de Sequência de RNA / Heterogeneidade Genética / Análise de Célula Única / Transcriptoma / Glucocorticoides Limite: Female / Humans Idioma: En Revista: Commun Biol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Dexametasona / Análise de Sequência de RNA / Heterogeneidade Genética / Análise de Célula Única / Transcriptoma / Glucocorticoides Limite: Female / Humans Idioma: En Revista: Commun Biol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos