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Establishment of a reference single-cell RNA sequencing dataset for human pancreatic adenocarcinoma
Single-cell RNA sequencing (scRNAseq) has been used to assess the intra-tumor heterogeneity and microenvironment of pancreatic ductal adenocarcinoma (PDAC). However, previous knowledge is not fully universalized. Here, we built a single cell atlas of PDAC from six datasets containing over 70 samples...
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Published in: | iScience 2022-08, Vol.25 (8), p.104659, Article 104659 |
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Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Single-cell RNA sequencing (scRNAseq) has been used to assess the intra-tumor heterogeneity and microenvironment of pancreatic ductal adenocarcinoma (PDAC). However, previous knowledge is not fully universalized. Here, we built a single cell atlas of PDAC from six datasets containing over 70 samples and >130,000 cells, and demonstrated its application to the reanalysis of the previous bulk transcriptomic cohorts and inferring cell–cell communications. The cell decomposition of bulk transcriptomics using scRNAseq data showed the cellular heterogeneity of PDAC; moreover, high levels of tumor cells and fibroblasts were indicative of poor-prognosis. Refined tumor subtypes signature indicated the tumor cell dynamics in intra-tumor and their specific regulatory network. We further identified functionally distinct tumor clusters that had close interaction with fibroblast subtypes via different signaling pathways dependent on subtypes. Our analysis provided a reference dataset for PDAC and showed its utility in research on the microenvironment of intra-tumor heterogeneity.
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•Generation of reference single cell atlas for pancreatic adenocarcinoma•Decomposition of bulk transcriptomics showed the heterogeneous microenvironment•Refined tumor subtypes signature indicated the tumor cell dynamics in intra-tumor•Two subtype of fibroblast support the growth of tumor cell with distinct pathways
Cancer systems biology; Cancer; Transcriptomics |
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ISSN: | 2589-0042 2589-0042 |
DOI: | 10.1016/j.isci.2022.104659 |