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

ABSTRACT:

Introduction

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.

Methods

To circumvent this problem, we here describe a bioinformatics-based, genome-wide transcriptome analysis technique, which allows the human and mouse transcriptomes to be decoded from a mixed mouse and human cell population. The technique is based on a bioinformatic separation of the mouse and human transcri

SUBMITTER: Chivukula IV 

PROVIDER: S-EPMC4534116 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature