Accession PRJCA001063
Title Single-Cell RNA-seq Highlights Intra-tumoral Heterogeneity and Malignant Progression in Pancreatic Ductal Adenocarcinoma
Relevance Medical
Data Types Transcriptome or Gene expression
Organisms Homo sapiens
Description Herein, we implemented the single-cell RNA-seq to determine the transcriptomes of over 50,000 individual pancreatic cells from 24 primary PDAC tumors and 11 normal pancreas. We detected two ductal subtypes representing nonmalignant and malignant ductal cells in PDAC. The malignant cells show high CNV and heterogeneity within and between tumors, in which specific proliferation and metastatic sub-malignant cells present in PDAC patients. Computational cell trajectory analysis revealed that multiple pathways and TFs dynamic expressed during the malignant, proliferation and metastasis progress. By integrating single-cell transcriptomes with bulk expression prfiles for PDAC, we established the association of malignant ductal cells and T cell signals with clinical pathological features.
Sample scope Single cell
Release date 2019-07-09
Publication
PubMed ID Article title Journal name DOI Year
31273297 Single-cell RNA-seq highlights intra-tumoral heterogeneity and malignant progression in pancreatic ductal adenocarcinoma. Cell Research 10.1038/s41422-019-0195-y 2019
Grants
Agency program Grant ID Grant title
National Natural Science Foundation of China (NSFC) 31625016
National Natural Science Foundation of China (NSFC) 81672443
National Natural Science Foundation of China (NSFC) 81773292
Chinese Academy of Medical Sciences (CAMS) Initiative for Innovative Medicine 2017 I2M 1 001
Ministry of Science and Technology of the People's Republic of China (MOST) National Key R&D Program of China 2018YFA0109700
Submitter sun    baofa  (sunbf@big.ac.cn)
Organization Beijing Institute of Genomics, Chinese Academy of Sciences
Submission date 2018-10-12

Project Data

Resource name Description
BioSample (35) -
SAMC047106 N11_single cell RNAseq
SAMC047105 N10_single cell RNAseq
SAMC047104 N9_single cell RNAseq
SAMC047103 N8_single cell RNAseq
SAMC047102 N7_single cell RNAseq
SAMC047101 N6_single cell RNAseq
SAMC047100 N5_single cell RNAseq
SAMC047099 N4_single cell RNAseq
SAMC047098 N3_single cell RNAseq
SAMC047097 N2_single cell RNAseq
SAMC047096 N1_single cell RNAseq
SAMC047095 T24_single cell RNAseq
SAMC047094 T23_single cell RNAseq
SAMC047093 T22_single cell RNAseq
SAMC047092 T21_single cell RNAseq
SAMC047091 T20_single cell RNAseq
SAMC047090 T19_single cell RNAseq
SAMC047089 T18_single cell RNAseq
SAMC047088 T17_single cell RNAseq
SAMC047087 T16_single cell RNAseq
SAMC047086 T15_single cell RNAseq
SAMC047085 T14_single cell RNAseq
SAMC047084 T13_single cell RNAseq
SAMC047083 T12_single cell RNAseq
SAMC047082 T11_single cell RNAseq
SAMC047081 T10_single cell RNAseq
SAMC047080 T9_single cell RNAseq
SAMC047079 T8_single cell RNAseq
SAMC047078 T7_single cell RNAseq
SAMC047077 T6_single cell RNAseq
SAMC047076 T5_single cell RNAseq
SAMC047075 T4_single cell RNAseq
SAMC047074 T3_single cell RNAseq
SAMC047073 T2_single cell RNAseq
SAMC047072 T1_single cell RNAseq
GSA (1) -
CRA001160 GSA-PDAC
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