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Decoding breast cancer tissue-stroma interactions using species-specific sequencing.

Author:
  • Indira V Chivukula
  • Daniel Ramsköld
  • Helena Storvall
  • Charlotte Anderberg
  • Shaobo Jin
  • Veronika Mamaeva
  • Cecilia Sahlgren
  • Kristian Pietras
  • Rickard Sandberg
  • Urban Lendahl
Publishing year: 2015
Language: English
Publication/Series: Breast Cancer Research
Volume: 17
Document type: Journal article
Publisher: BioMed Central

Abstract english

Decoding transcriptional effects of experimental tissue-tissue or cell-cell interactions is important; for example, to better understand tumor-stroma interactions after transplantation of human cells into mouse (xenografting). Transcriptome analysis of intermixed human and mouse cells has, however, frequently relied on the need to separate the two cell populations prior to transcriptome analysis, which introduces confounding effects on gene expression.

Keywords

  • Cancer and Oncology

Other

Published
  • ISSN: 1465-5411
Kristian Pietras
E-mail: kristian.pietras [at] med.lu.se

Professor

Division of Translational Cancer Research

+46 46 222 64 29

MV404 A31B1

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Project manager

Experimental oncology