2026-06-21T16:05:26Z https://api.figshare.com/v2/oai
oai:figshare.com:article/16608235 2021-09-14T08:56:56Z category_24208 category_24811 category_24298 portal_549 item_type_5 month_year_09_2021
10.5522/04/16608235.v1 https://figshare.com/articles/poster/Novel_computational_approaches_to_study_CRC_tumour_microenvironment_organoids_using_scRNA-seq/16608235 https://ndownloader.figshare.com/files/30738841 Cardoso Rodriguez, Ferran Ferran Cardoso Rodriguez 0000-0002-1376-1242 <![CDATA[Novel computational approaches to study CRC tumour microenvironment organoids using scRNA-seq]]> Bioinformatics and computational biology not elsewhere classified Oncology and carcinogenesis not elsewhere classified Gene expression (incl. microarray and other genome-wide approaches) CRC Tumour microenvironment organoids scRNAseq transcriptomics cell communication differential abundance colon fibroblasts Bioinformatics Cancer Gene Expression (incl. Microarray and other genome-wide approaches) 2021-09-14 2021-09-14 Poster 2021 University College London Poster for the 2021 CRUK Cancer Evolution Symposium.

Colorectal cancer (CRC) tumours present as a heterocellular setting where the colon epithelia harbouring oncogenic mutations interacts with the surrounding stromal and immune compartments. Despite epithelial organoids being used to model CRC there is a lack of complex coculture systems that also model the tumour microenvironment (TME). Here we present such a system, able to model both the oncogenic and microenvironmental axes, and report how scRNA-seq analysis reveals that stromal cells modulate differentiation in normal colonic epithelia but fail to do so in the altered CRC organoids.
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