Transcriptomics

Dataset Information

0

A549 cells with glucocorticoid treatment


ABSTRACT: Processing bodies (P-bodies) are cytoplasmic, membraneless organelles that play a key role in regulating RNA translation. To identify new pathways controlling their formation, we conducted a Food and Drug Administration (FDA)-approved drug screen. We found that glucocorticoids, among the most prescribed medicines, significantly increase P-body numbers across diverse epithelial cell types. This effect was fully reversible after glucocorticoid withdrawal, illustrating the adaptive dynamics of P-bodies. Using genetic invalidation and rescue approaches, we demonstrated that this accumulation requires the Glucocorticoid Receptor alpha isoform. P-body accumulation was associated with selective post-transcriptional regulation of P-body-associated mRNAs rather than global inhibition of translation. This selectivity was driven by intrinsic transcript features, including nucleotide composition and codon usage: AU-rich transcripts with low Codon Adaptation Index (CAI) were preferentially accumulated and translationally repressed, whereas GC-rich transcripts with higher CAI displayed enhanced protein output under glucocorticoid treatment. Furthermore, we associated the decrease of LSM14B, a negative regulator of P-bodies, under glucocorticoid treatment to P-body reshaping. Our results reveal that, beyond their known transcriptional activity, prolonged exposure to glucocorticoids influences mRNA post-transcription and translation through a nucleotide composition-based mechanism.

ORGANISM(S): Homo sapiens

PROVIDER: GSE295999 | GEO | 2026/03/02

REPOSITORIES: GEO

Dataset's files

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

Similar Datasets

2010-07-30 | E-GEOD-22647 | biostudies-arrayexpress
| phs001314 | dbGaP
2018-04-23 | GSE103675 | GEO
2010-06-30 | GSE22647 | GEO
2016-01-08 | E-GEOD-76193 | biostudies-arrayexpress
2016-01-08 | E-GEOD-76627 | biostudies-arrayexpress
2018-05-08 | GSE103721 | GEO
2019-05-01 | GSE126522 | GEO
2026-02-03 | GSE294082 | GEO
2015-01-05 | E-GEOD-63789 | biostudies-arrayexpress