Other

Dataset Information

0

Measuring transcription factor binding and gene expression using barcoded self-reporting transposon calling cards and transcriptomes


ABSTRACT: Calling cards technology using self-reporting transposons enables the identification of DNA-protein interactions through RNA sequencing . Here, we have drastically reduced the cost and labor requirements of calling card experiments in bulk populations of cells by introducing a DNA barcode into the calling card itself. An additional barcode incorporated during reverse transcription enables simultaneous transcriptome measurement in a facile and affordable protocol. We demonstrate that barcoded self-reporting transposons recover in vitro binding sites for four basic helix-loop-helix transcription factors with important roles in cell fate specification: ASCL1, MYOD1, NEUROD2, and NGN1. Further, simultaneous calling cards and transcriptional profiling during transcription factor overexpression identified both binding sites and gene expression changes for two of these factors. In sum, RNA-based identification of transcription factor binding sites and gene expression through barcoded self-reporting transposon calling cards and transcriptomes is an efficient and powerful method to infer gene regulatory networks in a population of cells. 

ORGANISM(S): Homo sapiens

PROVIDER: GSE195992 | GEO | 2022/02/04

REPOSITORIES: GEO

Dataset's files

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

Similar Datasets

2023-02-01 | GSE223926 | GEO
| PRJNA802849 | ENA
| PRJNA624288 | ENA
2011-02-18 | GSE27381 | GEO
2020-07-23 | GSE148448 | GEO
2017-09-18 | GSE103943 | GEO
2020-08-23 | GSE156678 | GEO
2011-12-31 | GSE34791 | GEO
2020-01-03 | GSE142838 | GEO
2014-02-11 | E-GEOD-54831 | biostudies-arrayexpress