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

Summary, in 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.

• Författare: Indira V Chivukula; Daniel Ramsköld; Helena Storvall; Charlotte Anderberg; Shaobo Jin; Veronika Mamaeva; Cecilia Sahlgren; Kristian Pietras; Rickard Sandberg; Urban Lendahl
• Avdelning/ar: Avdelningen för translationell cancerforskning; BioCARE: Biomarkers in Cancer Medicine improving Health Care, Education and Innovation
• Publiceringsår: 2015
• Språk: Engelska
• Publikation/Tidskrift/Serie: Breast Cancer Research
• Volym: 17
• Fulltext: - 1 MB; Download statistics
• Länkar: http://www.ncbi.nlm.nih.gov/pubmed/26265142?dopt=Abstract; http://dx.doi.org/10.1186/s13058-015-0616-x
• Dokumenttyp: Artikel i tidskrift
• Förlag: BioMed Central (BMC)
• Ämne: Cancer and Oncology
• Status: Published
• ISBN/ISSN/Övrigt: ISSN: 1465-5411