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Proteome organization in a genome-reduced bacterium
- Source :
- Science, Vol. 326, No 5957 (2009) pp. 1235-1240, Science
- Publication Year :
- 2009
-
Abstract
- Simply Mycoplasma The bacterium Mycoplasma pneumoniae , a human pathogen, has a genome of reduced size and is one of the simplest organisms that can reproduce outside of host cells. As such, it represents an excellent model organism in which to attempt a systems-level understanding of its biological organization. Now three papers provide a comprehensive and quantitative analysis of the proteome, the metabolic network, and the transcriptome of M. pneumoniae (see the Perspective by Ochman and Raghavan ). Anticipating what might be possible in the future for more complex organisms, Kühner et al. (p. 1235 ) combine analysis of protein interactions by mass spectrometry with extensive structural information on M. pneumoniae proteins to reveal how proteins work together as molecular machines and map their organization within the cell by electron tomography. The manageable genome size of M. pneumoniae allowed Yus et al. (p. 1263 ) to map the metabolic network of the organism manually and validate it experimentally. Analysis of the network aided development of a minimal medium in which the bacterium could be cultured. Finally, G‡ell et al. (p. 1268 ) applied state-of-the-art sequencing techniques to reveal that this “simple” organism makes extensive use of noncoding RNAs and has exon- and intron-like structure within transcriptional operons that allows complex gene regulation resembling that of eukaryotes.
- Subjects :
- Models, Molecular
Multiprotein complex
Proteome
Systems biology
Biology
Genome
Models, Biological
Mass Spectrometry
Pattern Recognition, Automated
Bacterial protein
03 medical and health sciences
Bacterial Proteins
Protein Interaction Mapping
030304 developmental biology
0303 health sciences
Multidisciplinary
Systems Biology
030302 biochemistry & molecular biology
Computational Biology
biology.organism_classification
Mycoplasma pneumoniae
Microscopy, Electron
Biochemistry
Multiprotein Complexes
Bacteria
Genome, Bacterial
Metabolic Networks and Pathways
Subjects
Details
- Language :
- English
- ISSN :
- 10959203 and 00368075
- Volume :
- 326
- Database :
- OpenAIRE
- Journal :
- Science
- Accession number :
- edsair.doi.dedup.....2ec43b58acfe15882879a63d4cd5d213