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

  • IV Chivukula
  • , D Ramskold
  • , H Storvall
  • , C Anderberg
  • , SB Jin
  • , V Mamaeva
  • , Cecilia Sahlgren
  • , K Pietras
  • , R Sandberg
  • , U Lendahl

Forskningsoutput: TidskriftsbidragArtikelVetenskapligPeer review

10 Citeringar (Scopus)

Sammanfattning

Conclusions: In conclusion, the data show that the S-3 technology allows for faithful recording of transcriptomic changes when human and mouse cells are intermixed and that it can be applied to address a broad spectrum of research questions.
OriginalspråkOdefinierat/okänt
Sidor (från-till)
Antal sidor14
TidskriftBreast Cancer Research
Volym17
DOI
StatusPublicerad - 2015
MoE-publikationstypA1 Tidskriftsartikel-refererad

Finansiering

This work was financially supported by the Marie Curie ITN-FP7 NotchIT (IVC), Swedish Cancer Society, the Swedish Research Council (DBRM and Project Grant), Knut och Alice Wallenbergs Stiftelse and Karolinska Institutet (BRECT, Theme Center in Regenerative Medicine (KP, RS and UL) and a Distinguished Professor Award to UL). CS is supported by the Academy of Finland.

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