Unknown

Dataset Information

0

Profiling of Pluripotency Factors in Single Cells and Early Embryos.


ABSTRACT: Cell fate decisions are governed by sequence-specific transcription factors (TFs) that act in small populations of cells within developing embryos. To understand their functions in vivo, it is important to identify TF binding sites in these cells. However, current methods cannot profile TFs genome-wide at or near the single-cell level. Here we adapt the cleavage under targets and release using nuclease (CUT&RUN) method to profile TFs in low cell numbers, including single cells and individual pre-implantation embryos. Single-cell experiments suggest that only a fraction of TF binding sites are occupied in most cells, in a manner broadly consistent with measurements of peak intensity from multi-cell studies. We further show that chromatin binding by the pluripotency TF NANOG is highly dependent on the SWI/SNF chromatin remodeling complex in individual blastocysts but not in cultured cells. Ultra-low input CUT&RUN (uliCUT&RUN) therefore enables interrogation of TF binding from rare cell populations of particular importance in development or disease.

SUBMITTER: Hainer SJ 

PROVIDER: S-EPMC6525046 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

altmetric image

Publications

Profiling of Pluripotency Factors in Single Cells and Early Embryos.

Hainer Sarah J SJ   Bošković Ana A   McCannell Kurtis N KN   Rando Oliver J OJ   Fazzio Thomas G TG  

Cell 20190404 5


Cell fate decisions are governed by sequence-specific transcription factors (TFs) that act in small populations of cells within developing embryos. To understand their functions in vivo, it is important to identify TF binding sites in these cells. However, current methods cannot profile TFs genome-wide at or near the single-cell level. Here we adapt the cleavage under targets and release using nuclease (CUT&RUN) method to profile TFs in low cell numbers, including single cells and individual pre  ...[more]

Similar Datasets

2018-07-20 | GSE111121 | GEO
| PRJNA435965 | ENA
| S-EPMC5539349 | biostudies-literature
2013-08-10 | E-GEOD-36552 | biostudies-arrayexpress
| S-EPMC6353908 | biostudies-literature
| S-EPMC5477564 | biostudies-literature
2013-08-10 | GSE36552 | GEO
| S-EPMC7089971 | biostudies-literature
2018-07-25 | ST001028 | MetabolomicsWorkbench
| S-EPMC2990473 | biostudies-literature