Single cell Transcriptomic Analysis of Cellular Heterogeneity in Human Colorectal Tumors

1,591 single cells from 11 colorectal cancer patients were profiled using Fluidigm based single cell RNA-seq protocol to characterized cellular heterogeneity of colorectal cancer. 630 single cells from 7 cell lines were profiled similarly to benchmark de novo cell type identification algorithms.

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

2 Datasets 3 Publications

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001002727	1,591 single cells from 11 colorectal cancer patients were profiled using Fluidigm based single cell RNA-seq protocol to characterized cellular heterogeneity of colorectal cancer. 630 single cells from 7 cell lines were profiled similarly to benchmark de novo cell type identification algorithms.	Illumina HiSeq 3000	2221
EGAD00001007946	57 Bone marrow specimens for 5 healthy bone marrow and 24 CML samples profiled with 10X scRNA-seq 5' upon separation using MACS for CD34.	Illumina HiSeq 2000 Illumina HiSeq 3000 Illumina HiSeq 4000	57

Publications	Citations
Tumor-promoting macrophages prevail in malignant ascites of advanced gastric cancer. Eum HH, Kwon M, Ryu D, Jo A, Chung W, Kim N, Hong Y, Son DS, Kim ST, Lee J, Lee HO, Park WY. Exp Mol Med 52: 2020 1976-1988	51
Transposon-activated POU5F1B promotes colorectal cancer growth and metastasis. Simó-Riudalbas L, Offner S, Planet E, Duc J, Abrami L, Dind S, Coudray A, Coto-Llerena M, Ercan C, Piscuoglio S, Andersen CL, Bramsen JB, Trono D. Nat Commun 13: 2022 4913	7
Genome-scale modeling predicts metabolic differences between macrophage subtypes in colorectal cancer. Gelbach PE, Finley SD. iScience 26: 2023 107569	4