| Title |
Inferring Carbon Sources from Gene Expression Profiles Using Metabolic Flux Models
|
|---|---|
| Published in |
PLOS ONE, May 2012
|
| DOI | 10.1371/journal.pone.0036947 |
| Pubmed ID | |
| Authors |
Aaron Brandes, Desmond S. Lun, Kuhn Ip, Jeremy Zucker, Caroline Colijn, Brian Weiner, James E. Galagan |
| Abstract |
Bacteria have evolved the ability to efficiently and resourcefully adapt to changing environments. A key means by which they optimize their use of available nutrients is through adjustments in gene expression with consequent changes in enzyme activity. We report a new method for drawing environmental inferences from gene expression data. Our method prioritizes a list of candidate carbon sources for their compatibility with a gene expression profile using the framework of flux balance analysis to model the organism's metabolic network. |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | 1% |
| Chile | 1 | 1% |
| Singapore | 1 | 1% |
| Unknown | 67 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 30% |
| Student > Master | 11 | 16% |
| Researcher | 10 | 14% |
| Professor > Associate Professor | 5 | 7% |
| Other | 5 | 7% |
| Other | 13 | 19% |
| Unknown | 5 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 37% |
| Biochemistry, Genetics and Molecular Biology | 12 | 17% |
| Computer Science | 9 | 13% |
| Engineering | 5 | 7% |
| Immunology and Microbiology | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 7 | 10% |