PuSH - Publikationsserver des Helmholtz Zentrums München: Pheno-seq - linking visual features and gene expression in 3D cell culture systems.

Navigation

Startseite

English

Recherche

Erweiterte Suche

Durchblättern nach ...

... Zeitschriften

... Publikationstypen

... Forschungsdaten

... Erscheinungsjahr

Publikationen im Überblick

Hilfe & Kontakt

Ansprechpartner

Hilfe

Datenschutz

Tirier, S.M.* ; Park, J.* ; Preußer, F.* ; Amrhein, L. ; Gu, Z.* ; Steiger, S.* ; Mallm, J.P.* ; Krieger, T.* ; Waschow, M.* ; Eismann, B.* ; Gut, M.* ; Gut, I.G.* ; Rippe, K.* ; Schlesner, M.* ; Theis, F.J. ; Fuchs, C. ; Ball, C.R.* ; Glimm, H.* ; Conrad, C.*

Pheno-seq - linking visual features and gene expression in 3D cell culture systems.

Sci. Rep. 9:12367 (2019)

Verlagsversion

Forschungsdaten

DOI

PMC

	Open Access Gold

Abstract
Metriken
Zusatzinfos

Patient-derived 3D cell culture systems are currently advancing cancer research since they potentiate the molecular analysis of tissue-like properties and drug response under well-defined conditions. However, our understanding of the relationship between the heterogeneity of morphological phenotypes and the underlying transcriptome is still limited. To address this issue, we here introduce "pheno-seq" to directly link visual features of 3D cell culture systems with profiling their transcriptome. As prototypic applications breast and colorectal cancer (CRC) spheroids were analyzed by pheno-seq. We identified characteristic gene expression signatures of epithelial-to-mesenchymal transition that are associated with invasive growth behavior of clonal breast cancer spheroids. Furthermore, we linked long-term proliferative capacity in a patient-derived model of CRC to a lowly abundant PROX1-positive cancer stem cell subtype. We anticipate that the ability to integrate transcriptome analysis and morphological patho-phenotypes of cancer cells will provide novel insight on the molecular origins of intratumor heterogeneity.

Altmetric

Weitere Metriken?

[➜Einloggen]