Transcriptomics

Dataset Information

0

Translational buffering tunes gene expression in mouse and human


ABSTRACT: Translational buffering refers to the regulation of ribosome occupancy to offset the effects of transcriptional variation. While previous work reported translational buffering in a limited set of conditions, it remains unknown whether this is an intrinsic property of specific genes across a large number of different cell types. To identify genes exhibiting this phenomenon on a global scale and across different experimental conditions, we uniformly analyzed 1515 matched ribosome profiling and RNA-seq datasets from human and mouse tissues or cell lines. This resource enabled us to determine the set of genes exhibiting translational buffering by comparative analysis of variation at ribosome occupancy and the RNA levels across cell types and the relationship between mRNA abundance and translation efficiency. We demonstrate that translational buffering is a conserved property of genes using homologous gene pairs from humans and mice. Genes exhibiting translational buffering have lower variation in protein abundance in cancer cell lines, primary human tissues and mouse samples. Moreover, we observed that translationally buffered genes are more likely to be haploinsufficient and triplosensitive suggesting a demand for stringent dosage limits in these genes. We hypothesized two models of translational buffering, namely “differential accessibility model” and “change in translation initiation rate model”. Our experiment suggests that some transcripts conform to the former and others align with the alternate model. Overall, our work broadens the catalog of genes subjected to translational buffering, underscores the characteristics of genes that demonstrate this phenomenon and additionally provides an insight into the rationale driving this effect.

ORGANISM(S): Homo sapiens

PROVIDER: GSE297442 | GEO | 2025/06/24

REPOSITORIES: GEO

Dataset's files

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

Similar Datasets

2014-12-19 | E-GEOD-61742 | biostudies-arrayexpress
2014-12-19 | PXD001406 | Pride
2016-07-03 | E-GEOD-68265 | biostudies-arrayexpress
2014-12-19 | GSE61742 | GEO
2015-02-14 | E-GEOD-65912 | biostudies-arrayexpress
2019-10-03 | GSE131111 | GEO
2018-05-10 | GSE71808 | GEO
2016-02-11 | E-GEOD-76117 | biostudies-arrayexpress
2024-02-01 | GSE173654 | GEO
2015-11-09 | PXD002837 | Pride