| Large scale physiological readjustment during growth enables rapid, comprehensive and inexpensive systems analysis. | |
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MedLine Citation:
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PMID: 20470417 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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BACKGROUND: Rapidly characterizing the operational interrelationships among all genes in a given organism is a critical bottleneck to significantly advancing our understanding of thousands of newly sequenced microbial and eukaryotic species. While evolving technologies for global profiling of transcripts, proteins, and metabolites are making it possible to comprehensively survey cellular physiology in newly sequenced organisms, these experimental techniques have not kept pace with sequencing efforts. Compounding these technological challenges is the fact that individual experiments typically only stimulate relatively small-scale cellular responses, thus requiring numerous expensive experiments to survey the operational relationships among nearly all genetic elements. Therefore, a relatively quick and inexpensive strategy for observing changes in large fractions of the genetic elements is highly desirable. RESULTS: We have discovered in the model organism Halobacterium salinarum NRC-1 that batch culturing in complex medium stimulates meaningful changes in the expression of approximately two thirds of all genes. While the majority of these changes occur during transition from rapid exponential growth to the stationary phase, several transient physiological states were detected beyond what has been previously observed. In sum, integrated analysis of transcript and metabolite changes has helped uncover growth phase-associated physiologies, operational interrelationships among two thirds of all genes, specialized functions for gene family members, waves of transcription factor activities, and growth phase associated cell morphology control. CONCLUSIONS: Simple laboratory culturing in complex medium can be enormously informative regarding the activities of and interrelationships among a large fraction of all genes in an organism. This also yields important baseline physiological context for designing specific perturbation experiments at different phases of growth. The integration of such growth and perturbation studies with measurements of associated environmental factor changes is a practical and economical route for the elucidation of comprehensive systems-level models of biological systems. |
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Authors:
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Marc T Facciotti; Wyming L Pang; Fang-yin Lo; Kenia Whitehead; Tie Koide; Ken-ichi Masumura; Min Pan; Amardeep Kaur; David J Larsen; David J Reiss; Linh Hoang; Ewa Kalisiak; Trent Northen; Sunia A Trauger; Gary Siuzdak; Nitin S Baliga |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S. Date: 2010-05-14 |
Journal Detail:
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Title: BMC systems biology Volume: 4 ISSN: 1752-0509 ISO Abbreviation: BMC Syst Biol Publication Date: 2010 |
Date Detail:
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Created Date: 2010-06-07 Completed Date: 2010-07-28 Revised Date: 2010-09-28 |
Medline Journal Info:
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Nlm Unique ID: 101301827 Medline TA: BMC Syst Biol Country: England |
Other Details:
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Languages: eng Pagination: 64 Citation Subset: IM |
Affiliation:
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Institute for Systems Biology, 1441 North 34th Street, Seattle, WA 98103, USA. mtfacciotti@ucdavis.edu |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Chromatography, Liquid
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methods Escherichia coli / metabolism Gene Expression Profiling Gene Regulatory Networks Halobacterium salinarum / genetics*, metabolism Mass Spectrometry / methods Models, Biological Models, Genetic Oligonucleotide Array Sequence Analysis Phenotype RNA, Messenger / metabolism Systems Analysis* Systems Biology* Transcription, Genetic |
| Grant Support | |
ID/Acronym/Agency:
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1R01GM077398-01A2/GM/NIGMS NIH HHS; P50GM076547/GM/NIGMS NIH HHS |
| Chemical | |
Reg. No./Substance:
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0/RNA, Messenger |
| Comments/Corrections | |
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