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Series GSE210648 Query DataSets for GSE210648
Status Public on Aug 06, 2022
Title Integrated multi-omics reveals cellular and molecular interactions governing the invasive niche of basal cell carcinoma (Digital Spatial Profiling)
Organism Homo sapiens
Experiment type Expression profiling by array
Summary To progress, tumors need to invade the surrounding tissues. However, the heterogeneity of cell types at the tumor-stroma interface and the complexity of their potential interactions hampered mechanistic insights for efficient therapeutic targeting. Here, combining single-cell and spatial transcriptomics on human basal cell carcinomas (BCCs), we define the cellular contributors of the invasive front. In the invasive niche, tumor cells harbor a collective migration phenotype, supported by the expression of cell-cell junction complexes. In physical proximity, we identify cancer-associated fibroblasts (CAFs) with extracellular matrix-remodeling features, as required to support collective migration. Moreover, while tumor cells specifically express Activin A, we find Activin A-induced gene signature enrichment in adjacent CAFs subpopulations, further supporting their biological crosstalk. Altogether, our data identify the subpopulations and their transcriptional reprogramming contributing to the spatial organization of the BCC invasive niche. They also bring the proof-of-concept for integrated spatial and single-cell multi-omics to decipher cancer-specific invasive properties and develop therapeutic targeting.
 
Overall design Total 95 areas of interest from 12 basal cell carcinomas were sequenced using Digital Spatial Profiling (DSP) using GeoMX Nanostring, with the Cancer Transcriptome Altas (1812 genes)
 
Contributor(s) Yerly L, Tissot S, Kuonen F
Citation(s) 35986012, 37327314
Submission date Aug 05, 2022
Last update date Sep 14, 2023
Contact name François Kuonen
E-mail(s) francois.kuonen@chuv.ch
Organization name CHUV
Street address Av. de Beaumont 29
City Lausanne
State/province ...
ZIP/Postal code 1011
Country Switzerland
 
Platforms (1)
GPL32550 Cancer Transcriptomic Atlas, Human, 1812 genes, Nanostring GeoMx Digital Spatial Profiling (DSP) Platform
Samples (95)
GSM6434074 Patient 12 ROI 08 DSP12_08_CK
GSM6434075 Patient 12 ROI 08 DSP12_08_Stroma
GSM6434076 Patient 12 ROI 09 DSP12_09_CK
Relations
BioProject PRJNA866548

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE210648_RAW.tar 2.8 Mb (http)(custom) TAR (of DCC)
Processed data included within Sample table

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