Proteomics

Dataset Information

0

An integrative, multi-omics analysis of the Hfq regulon


ABSTRACT: The ability of bacteria to respond to environmental change is based on the exploration of sophisticated regulatory landscapes. While we can learn a great deal from reductive analyses of individual pathways, and global approaches to gene regulation, a deeper understanding of these complex signalling networks requires the simultaneous consideration of several regulatory layers at the genome-scale. To highlight the power of this approach we analysed the Hfq transcriptional/translational regulatory network in the plant-associated rhizobacterium Pseudomonas fluorescens. Extensive multi-omics analyses including proteomics quantification using isobaric isotope labelling (iTRAQ )were used to assess how hfq deletion affects gene transcription, translation and protein abundance. The subsequent integration of these datasets highlighted the discrete contributions by Hfq to gene regulation at different levels, confirmed previous predictions, and suggested novel regulatory principles for Hfq function. The integrative approach to regulatory analysis described here has significant potential, for both dissecting individual signalling pathways and understanding the strategies bacteria use to cope with external challenges.

INSTRUMENT(S): LTQ Orbitrap

ORGANISM(S): Pseudomonas Fluorescens (strain Sbw25)

TISSUE(S): Cell Culture

SUBMITTER: Gerhard Saalbach  

LAB HEAD: Jacob George Malone

PROVIDER: PXD005621 | Pride | 2017-10-18

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
151125_09.raw Raw
151130_01.raw Raw
151130_02.raw Raw
151130_03.raw Raw
151130_04.raw Raw
Items per page:
1 - 5 of 15
altmetric image

Publications

Analyzing the Complex Regulatory Landscape of Hfq - an Integrative, Multi-Omics Approach.

Grenga Lucia L   Chandra Govind G   Saalbach Gerhard G   Galmozzi Carla V CV   Kramer Günter G   Malone Jacob G JG  

Frontiers in microbiology 20170920


The ability of bacteria to respond to environmental change is based on the ability to coordinate, redirect and fine-tune their genetic repertoire as and when required. While we can learn a great deal from reductive analysis of individual pathways and global approaches to gene regulation, a deeper understanding of these complex signaling networks requires the simultaneous consideration of several regulatory layers at the genome scale. To highlight the power of this approach we analyzed the Hfq tr  ...[more]

Similar Datasets

2019-07-02 | PXD013953 | Pride
2019-02-07 | E-MTAB-5396 | biostudies-arrayexpress
2012-10-01 | GSE38884 | GEO
2015-06-22 | GSE66891 | GEO
2012-10-01 | E-GEOD-38884 | biostudies-arrayexpress
2015-06-22 | GSE66892 | GEO
2015-06-22 | E-GEOD-66891 | biostudies-arrayexpress
2019-06-19 | GSE77555 | GEO
2021-09-17 | GSE139988 | GEO
2015-06-22 | E-GEOD-66892 | biostudies-arrayexpress