Genomics

Dataset Information

0

Small RNA-seq from FPLC-fractionated leaf and flower crude extracts


ABSTRACT: Background: RNA interference (RNAi) is an indispensable regulatory mechanism governing developmental processes and stress responses via sequence-specific control of target RNAs mediated by the action of small, 20–24-nt-long, non-coding regulatory (s)RNAs such as micro (mi) and small interfering (si) RNAs. Biogenesis and sorting of miRNAs into ARGONAUTE (AGO) proteins are intensively investigated, however very few information is available about the presence and distribution of distinct sRNA pools in plant cells. Results: High-throughput sequencing of size-separated sRNA pools of plant crude extracts revealed that the majority of the canonical miRNAs were associated with high molecular weight RNA-induced silencing complexes co-migrating with AGO1 (HMW RISC). In contrast, the majority of 24-nt-long siRNAs were found in association with low molecular weight complexes co-migrating with AGO4 (LMW RISC). Intriguingly, we identified a large set of sRNAs in the cytoplasm, including mature miRNA sequences, in the low molecular size range corresponding to protein-unbound sRNAs. By comparing the RISC-loaded and protein-unbound pools of miRNAs, we identified miRNAs with highly different loading efficiencies. Investigation of some selected miRNAs in a transient expression system validated this finding. We also showed that the availability of RISCs is a limiting factor determining the loading efficiency of miRNAs. Conclusion: Our data reveal the existence of a regulatory checkpoint, likely controlled by information carried by the diverse miRNA precursors, determining the RISC-loading efficiencies of various miRNAs by sorting only a subset of the produced miRNAs into the biologically active RISCs.

ORGANISM(S): Arabidopsis thaliana

PROVIDER: GSE130431 | GEO | 2019/07/29

REPOSITORIES: GEO

Dataset's files

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

Similar Datasets

2021-09-08 | PXD015395 | Pride
2020-02-28 | GSE146015 | GEO
2020-07-01 | GSE134516 | GEO
2023-04-24 | GSE184124 | GEO
2018-04-09 | GSE105262 | GEO
2015-11-19 | E-GEOD-71563 | biostudies-arrayexpress
2017-04-01 | GSE97285 | GEO
2015-11-19 | GSE71563 | GEO
2017-03-22 | PXD000891 | Pride
2019-11-18 | GSE140538 | GEO