Transcriptomics

Dataset Information

0

Phenotypically supervised single cell sequencing parses within-cell-type heterogeneity


ABSTRACT: We used a phenotypic cell sorting technique to ask whether phenotypically supervised scRNAseq analysis (pheno-scRNAseq) can provide more insight into heterogeneous cell behaviors than unsupervised scRNAseq. Using a simple 3D in vitro breast cancer (BRCA) model, we conducted pheno-scRNAseq on invasive and non-invasive cells and compared the results to phenotype-agnostic scRNAseq analysis. Pheno-scRNAseq identified unique and more selective differentially expressed genes (DEGs) than unsupervised scRNAseq analysis. Functional studies validated the utility of pheno-scRNAseq in understanding within-cell-type functional heterogeneity and revealed that migration phenotypes were coordinated with specific metabolic, proliferation, stress, and immune phenotypes.

ORGANISM(S): Mus musculus Homo sapiens

PROVIDER: GSE158844 | GEO | 2020/10/31

REPOSITORIES: GEO

Similar Datasets

| S-EPMC7808958 | biostudies-literature
2014-10-01 | E-GEOD-57270 | biostudies-arrayexpress
| PRJEB26737 | ENA
2014-10-01 | E-GEOD-56443 | biostudies-arrayexpress
2014-10-01 | E-GEOD-57276 | biostudies-arrayexpress
2014-10-01 | E-GEOD-57279 | biostudies-arrayexpress
2019-09-01 | GSE130001 | GEO
| PRJNA661677 | ENA
| PRJNA666683 | ENA