scispace - formally typeset
Open AccessJournal ArticleDOI

Stress induces remodelling of yeast interaction and co-expression networks

Reads0
Chats0
TLDR
Stress induces tighter co-regulation of non-coding RNAs, decreased functional importance of splicing factors, as well as changes in the centrality of genes involved in chromatin organization, cytoskeleton organization, cell division, and protein turnover.
Abstract
Network analysis provides a powerful framework for the interpretation of genome-wide data. While static network approaches have proved fruitful, there is increasing interest in the insights gained from the analysis of cellular networks under different conditions. In this work, we study the effect of stress on cellular networks in fission yeast. Stress elicits a sophisticated and large scale cellular response, involving a shift of resources from cell growth and metabolism towards protection and maintenance. Previous work has suggested that these changes can be appreciated at the network level. In this paper, we study two types of cellular networks: gene co-regulation networks and weighted protein interaction networks. We show that in response to oxidative stress, the co-regulation networks re-organize towards a more modularised structure: while sets of genes become more tightly co-regulated, co-regulation between these modules is decreased. This shift translates into longer average shortest path length, increased transitivity, and decreased modular overlap in these networks. We also find a similar change in structure in the weighted protein interaction network in response to both oxidative stress and nitrogen starvation, confirming and extending previous findings. These changes in network structure could represent an increase in network robustness and/or the emergence of more specialised functional modules. Additionally, we find stress induces tighter co-regulation of non-coding RNAs, decreased functional importance of splicing factors, as well as changes in the centrality of genes involved in chromatin organization, cytoskeleton organization, cell division, and protein turnover.

read more

Content maybe subject to copyright    Report

Citations
More filters
Book ChapterDOI

WGCNA Application to Proteomic and Metabolomic Data Analysis.

TL;DR: This chapter provides a detailed introduction of the modified protocol and its tutorials for applying the WGCNA approach in analyzing proteomic and metabolomic datasets.
Journal ArticleDOI

Different subunits belonging to the same protein complex often exhibit discordant expression levels and evolutionary properties.

TL;DR: Multi-functionality of subunits and mechanisms of complex assembly are discussed as possible sources for the lack of coherence inetero-oligomeric protein complexes.
Journal ArticleDOI

Gene co-expression network reconstruction: a review on computational methods for inferring functional information from plant-based expression data

TL;DR: The presented example shows that using co-expression networks is an efficient way to detect genes, which may involve in various critical biological processes such as defense response, in Arabidopsis thaliana as a model plant using publicly available data.
Journal ArticleDOI

Condition-Specific Modeling of Biophysical Parameters Advances Inference of Regulatory Networks

TL;DR: InfereCLaDR demonstrates that more biophysically realistic modeling of regulatory networks advances prediction accuracy both in eukaryotes and prokaryotes.
Journal ArticleDOI

Independent effects of dietary fat and sucrose content on chondrocyte metabolism and osteoarthritis pathology in mice

TL;DR: It is shown how dietary fat and sucrose independently alter cartilage metabolic enzymes and osteoarthritis pathophysiology in mice, indicating that altered cartilage metabolism might be a contributing factor to how diet and obesity increase the risk of osteoartritis.
References
More filters
Journal ArticleDOI

The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored

TL;DR: An update on the online database resource Search Tool for the Retrieval of Interacting Genes (STRING), which provides uniquely comprehensive coverage and ease of access to both experimental as well as predicted interaction information.
Journal ArticleDOI

Evidence for dynamically organized modularity in the yeast protein–protein interaction network

TL;DR: This work investigated how hubs might contribute to robustness and other cellular properties for protein–protein interactions dynamically regulated both in time and in space, and uncovered two types of hub: ‘party’ hubs, which interact with most of their partners simultaneously, and ‘date’ Hubs, which bind their different partners at different times or locations.
Journal ArticleDOI

Link communities reveal multiscale complexity in networks

TL;DR: In this article, the authors show that link communities are fundamental building blocks that reveal overlap and hierarchical organization in networks, and show that a large social network contains hierarchically organized community structures spanning inner-city to regional scales while maintaining pervasive overlap.
Journal ArticleDOI

Genomic analysis of regulatory network dynamics reveals large topological changes

TL;DR: The dynamics of a biological network on a genomic scale is presented, by integrating transcriptional regulatory information and gene-expression data for multiple conditions in Saccharomyces cerevisiae, using an approach for the statistical analysis of network dynamics, called SANDY, combining well-known global topological measures, local motifs and newly derived statistics.
Journal ArticleDOI

The importance of bottlenecks in protein networks: correlation with gene essentiality and expression dynamics.

TL;DR: In this article, the authors define bottlenecks as proteins with a high betweenness centrality (i.e., network nodes that have many "shortest paths" going through them, analogous to major bridges and tunnels on a highway map).
Related Papers (5)