ArticleBMC systems biology2010
Large scale physiological readjustment during growth enables rapid, comprehensive and inexpensive systems analysis.
Article in BMC systems biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
14 citing papers in PubMed, 36 citations in OpenAlex.
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- The Exploration of Novel Regulatory Relationships Drives Haloarchaeal Operon-Like Structural Dynamics over Short Evolutionary Distances.Microorganisms · 2020Article
- Selective Translation of Low Abundance and Upregulated Transcripts in Halobacterium salinarum.mSystems · 2020Article
- Complex Effects of Cytochrome P450 Monooxygenase on Purple Membrane and Bacterioruberin Production in an Extremely Halophilic Archaeon: Genetic, Phenotypic, and Transcriptomic Analyses.Frontiers in microbiology · 2018Article
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- Model organisms retain an "ecological memory" of complex ecologically relevant environmental variation.Applied and environmental microbiology · 2014Article
- Protein-DNA binding dynamics predict transcriptional response to nutrients in archaea.Nucleic acids research · 2013Article
- A workflow for genome-wide mapping of archaeal transcription factors with ChIP-seq.Nucleic acids research · 2012Article
- Niche adaptation by expansion and reprogramming of general transcription factors.Molecular systems biology · 2011Article
- Hot transcriptomics.Archaea (Vancouver, B.C.) · 2011Article
- Regulatory multidimensionality of gas vesicle biogenesis in Halobacterium salinarum NRC-1.Archaea (Vancouver, B.C.) · 2011Article
- Article
Corrections and comments
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Authors and funding
16 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundRapidly 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.
resultsWe 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.
conclusionsSimple 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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.