Transcriptomics

Dataset Information

0

RNAseq to determine gene expression changes following depletion of SETDB1 in THP-1 AML Cells


ABSTRACT: Purpose: To determine how loss of SETDB1 effects gene expression in THP-1 AML cells. Methods: THP-1 cells were treated with two different SETDB1 sgRNAs (6, and 9) or Non-targeting control sgRNA (NTC) for 4 and 7 days. RNA was isolated and prepared for RNAseq with Qiagen RNeasy kits. Results: Using an optimized data analysis workflow, we mapped 23 million or more sequence reads per sample to the human genome (GRCh38) with GSNAP for obtaining standard gene expression measurements. Since SETDB1 is also know to regulate repetitive elements we also mapped sequences to a pseudogenome containing tranposable elements from hg19 repeatmasker annotations using RepEnrich and following the pipeline published on GitHub (https://github.com/nskvir/RepEnrich). Conclusions: Our data determined that immediately following the disruption of SETDB1, a strong type I Interferon response can be observed at day 4. In addition, many repetitive elements are also significanly induced, including L1 LINEs, Endogenous Retroviruses, and Satellite repeats.

ORGANISM(S): Homo sapiens

PROVIDER: GSE103409 | GEO | 2017/09/06

SECONDARY ACCESSION(S): PRJNA401801

REPOSITORIES: GEO

Dataset's files

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

Similar Datasets

2017-09-06 | GSE103410 | GEO
2018-06-30 | GSE100677 | GEO
2016-05-26 | GSE81868 | GEO
2020-12-11 | MSV000086580 | MassIVE
2011-05-21 | E-GEOD-29413 | biostudies-arrayexpress
2021-01-04 | GSE108731 | GEO
2019-03-10 | GSE107387 | GEO
2021-03-18 | GSE155972 | GEO
2023-11-01 | GSE184471 | GEO
2020-12-21 | GSE108393 | GEO