Project description:For the understanding intrinsic cancer cell signatures and the surrounding microenviroment, we provide single-cell 3' RNA sequencing dataon 63,689 cells from 23 CRC patients with 23 primary colorectal cancer and 10 matched normal mucosa samples. Analysis of primary colorectal cancer and normal mucosa samples depicts a comprehensive cellular landscape of colorectal cancer and potential cellular interaction, which would be a valuable resource for the development of therapeutic strategies.

2020-04-04 | GSE132465 | GEO

Single cell 3' RNA sequencing of 6 Belgian colorectal cancer patients

Project description:For the understanding of intrinsic cancer cell signatures and the surrounding microenvironment, we provide single-cell 3’ RNA sequencing data on 27,414 cells from 6 CRC patients in core and border tumor regions, as well as in matched normal mucosa. Analysis of primary colorectal cancer and normal mucosa samples depicts a comprehensive cellular landscape of colorectal cancer and potential cellular interactions, which would be a valuable resource for the development of therapeutic strategies.

2020-04-05 | GSE144735 | GEO

Project description:WGS of the red silk cotton tree (Bombax ceiba)

| PRJNA429932 | ENA

scSLAM-seq reveals core features of transcription dynamics in single cells

Project description:Single cell RNA sequencing so far only depicts cellular transcriptomes at a single time point with low temporal resolution for kinetic changes. Here, we present a single-cell approach based on metabolic RNA labelling for combined sequencing of total and newly transcribed RNA as well as computational analysis of the RNA present prior to labelling. We apply it to cytomegalovirus infection of fibroblasts and reveal its potential for delineating alterations in transcriptional activity and decay in single cells under perturbed experimental conditions.

2019-07-10 | GSE115612 | GEO

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