Scientific Article
previous document  unige:124373  next document
add to browser collection
Title

Integration of multi-omics data of a genome-reduced bacterium: Prevalence of post-transcriptional regulation and its correlation with protein abundances

Authors
Chen, Wei-Hua
van Noort, Vera
Lluch-Senar, Maria
Hennrich, Marco L
Wodke, Judith A H
Yus, Eva
Alibés, Andreu
Roma, Guglielmo
show hidden authors show all authors [1 - 14]
Published in Nucleic Acids Research. 2016, vol. 44, no. 3, p. 1192-1202
Abstract We developed a comprehensive resource for the genome-reduced bacterium Mycoplasma pneumoniae comprising 1748 consistently generated '-omics' data sets, and used it to quantify the power of antisense non-coding RNAs (ncRNAs), lysine acetylation, and protein phosphorylation in predicting protein abundance (11%, 24% and 8%, respectively). These factors taken together are four times more predictive of the proteome abundance than of mRNA abundance. In bacteria, post-translational modifications (PTMs) and ncRNA transcription were both found to increase with decreasing genomic GC-content and genome size. Thus, the evolutionary forces constraining genome size and GC-content modify the relative contributions of the different regulatory layers to proteome homeostasis, and impact more genomic and genetic features than previously appreciated. Indeed, these scaling principles will enable us to develop more informed approaches when engineering minimal synthetic genomes.
Keywords Amino Acid SequenceBacterial Proteins/genetics/metabolismBase SequenceCluster AnalysisGene Expression Profiling/methods/statistics & numerical dataGene Expression RegulationGenomeBacterial/geneticsGenomics/methods/statistics & numerical dataMolecular Sequence AnnotationMolecular Sequence DataMycoplasma pneumoniae/genetics/metabolismProtein ProcessingPost-TranslationalProteome/genetics/metabolismProteomics/methods/statistics & numerical dataRNAUntranslated/geneticsSystems Biology/methods/statistics & numerical data
Identifiers
PMID: 26773059
Full text
Article (Published version) (3.6 MB) - public document Free access
Research group Métabolisme des lipides (1001)
Projects FP7: CELLDOCTOR
H2020: MycoSynVac
Citation
(ISO format)
CHEN, Wei-Hua et al. Integration of multi-omics data of a genome-reduced bacterium: Prevalence of post-transcriptional regulation and its correlation with protein abundances. In: Nucleic Acids Research, 2016, vol. 44, n° 3, p. 1192-1202. doi: 10.1093/nar/gkw004 https://archive-ouverte.unige.ch/unige:124373

103 hits

60 downloads

Update

Deposited on : 2019-10-15

Export document
Format :
Citation style :