Transcriptomics

Dataset Information

0

Expression data from a new FACS approach isolated hESC derived endoderm cells using transcription factors


ABSTRACT: We show that high quality microarray gene expression profiles can be obtained following FACS sorting of cells using combinations of transcription factors. We use this transcription factor FACS (tfFACS) methodology to perform a genomic analysis of hESC-derived endodermal lineages marked by combinations of SOX17, GATA4, and CXCR4, and find that triple positive cells have a much stronger definitive endoderm signature than other combinations of these markers. Additionally, SOX17+GATA4+ cells can be obtained at a much earlier stage of differentiation, prior to expression of CXCR4+ cells, providing an important new tool to isolate this earlier definitive endoderm subtype. Overall, tfFACS represents an advancement in FACS technology which broadly crosses multiple disciplines, most notably in regenerative medicine to redefine cellular populations.

ORGANISM(S): Homo sapiens

PROVIDER: GSE24135 | GEO | 2011/08/24

SECONDARY ACCESSION(S): PRJNA130133

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2011-08-23 | E-GEOD-24135 | biostudies-arrayexpress
2008-10-20 | E-GEOD-10809 | biostudies-arrayexpress
2007-10-05 | E-GEOD-4448 | biostudies-arrayexpress
2008-08-11 | GSE10809 | GEO
2006-03-11 | GSE4448 | GEO
2011-01-12 | E-GEOD-25337 | biostudies-arrayexpress
2024-10-31 | E-MTAB-14000 | biostudies-arrayexpress
2023-02-08 | GSE178990 | GEO
2022-01-22 | GSE125477 | GEO
2011-01-12 | GSE25337 | GEO