Data in Brief (Aug 2020)

Characterization of cell-free breast cancer patient-derived scaffolds using liquid chromatography-mass spectrometry/mass spectrometry data and RNA sequencing data

  • Göran Landberg,
  • Emma Jonasson,
  • Anna Gustafsson,
  • Paul Fitzpatrick,
  • Pauline Isakson,
  • Joakim Karlsson,
  • Erik Larsson,
  • Andreas Svanström,
  • Svanheidur Rafnsdottir,
  • Emma Persson,
  • Daniel Andersson,
  • Jennifer Rosendahl,
  • Sarunas Petronis,
  • Parmida Ranji,
  • Pernilla Gregersson,
  • Ylva Magnusson,
  • Joakim Håkansson,
  • Anders Ståhlberg

Journal volume & issue
Vol. 31
p. 105860

Abstract

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Patient-derived scaffolds (PDSs) generated from primary breast cancer tumors can be used to model the tumor microenvironment in vitro. Patient-derived scaffolds are generated by repeated detergent washing, removing all cells. Here, we analyzed the protein composition of 15 decellularized PDSs using liquid chromatography-mass spectrometry/mass spectrometry. One hundred forty-three proteins were detected and their relative abundance was calculated using a reference sample generated from all PDSs. We performed heatmap analysis of all the detected proteins to display their expression patterns across different PDSs together with pathway enrichment analysis to reveal which processes that were connected to PDS protein composition. This protein dataset together with clinical information is useful to investigators studying the microenvironment of breast cancers. Further, after repopulating PDSs with either MCF7 or MDA-MB-231 cells, we quantified their gene expression profiles using RNA sequencing. These data were also compared to cells cultured in conventional 2D conditions, as well as to cells cultured as xenografts in immune-deficient mice. We investigated the overlap of genes regulated between these different culture conditions and performed pathway enrichment analysis of genes regulated by both PDS and xenograft cultures compared to 2D in both cell lines to describe common processes associated with both culture conditions. Apart from our described analyses of these systems, these data are useful when comparing different experimental model systems. Downstream data analyses and interpretations can be found in the research article “Patient-derived scaffolds uncover breast cancer promoting properties of the microenvironment” [1].

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