@article {457,
	title = {Proteogenomic monitoring of Geobacter physiology during stimulated uranium bioremediation.},
	journal = {Appl Environ Microbiol},
	volume = {75},
	year = {2009},
	month = {2009 Oct},
	pages = {6591-9},
	abstract = {Implementation of uranium bioremediation requires methods for monitoring the membership and activities of the subsurface microbial communities that are responsible for reduction of soluble U(VI) to insoluble U(IV). Here, we report a proteomics-based approach for simultaneously documenting the strain membership and microbial physiology of the dominant Geobacter community members during in situ acetate amendment of the U-contaminated Rifle, CO, aquifer. Three planktonic Geobacter-dominated samples were obtained from two wells down-gradient of acetate addition. Over 2,500 proteins from each of these samples were identified by matching liquid chromatography-tandem mass spectrometry spectra to peptides predicted from seven isolate Geobacter genomes. Genome-specific peptides indicate early proliferation of multiple M21 and Geobacter bemidjiensis-like strains and later possible emergence of M21 and G. bemidjiensis-like strains more closely related to Geobacter lovleyi. Throughout biostimulation, the proteome is dominated by enzymes that convert acetate to acetyl-coenzyme A and pyruvate for central metabolism, while abundant peptides matching tricarboxylic acid cycle proteins and ATP synthase subunits were also detected, indicating the importance of energy generation during the period of rapid growth following the start of biostimulation. Evolving Geobacter strain composition may be linked to changes in protein abundance over the course of biostimulation and may reflect changes in metabolic functioning. Thus, metagenomics-independent community proteogenomics can be used to diagnose the status of the subsurface consortia upon which remediation biotechnology relies.},
	keywords = {Amino Acid Sequence, Bacterial Proteins, Biodegradation, Environmental, Genomics, Geobacter, Molecular Sequence Data, Oxidation-Reduction, Peptide Mapping, Plankton, Proteomics, Uranium, Water Microbiology, Water Pollutants, Radioactive},
	issn = {1098-5336},
	doi = {10.1128/AEM.01064-09},
	author = {Wilkins, Michael J and VerBerkmoes, Nathan C and Williams, Kenneth H and Callister, Stephen J and Mouser, Paula J and Elifantz, Hila and N{\textquoteright}guessan, Lucie A and Thomas, Brian C and Nicora, Carrie D and Shah, Manesh B and Abraham, Paul and Lipton, Mary S and Lovley, Derek R and Hettich, Robert L and Long, Philip E and Banfield, Jillian F}
}
@article {1215,
	title = {Identification of 2D-gel proteins: a comparison of MALDI/TOF peptide mass mapping to mu LC-ESI tandem mass spectrometry.},
	journal = {J Am Soc Mass Spectrom},
	volume = {14},
	year = {2003},
	month = {2003 Sep},
	pages = {957-70},
	abstract = {<p>A comparative analysis of protein identification for a total of 162 protein spots separated by two-dimensional gel electrophoresis from two fully sequenced archaea, Methanococcus jannaschii and Pyrococcus furiosus, using MALDI-TOF peptide mass mapping (PMM) and mu LC-MS/MS is presented. 100\% of the gel spots analyzed were successfully matched to the predicted proteins in the two corresponding open reading frame databases by mu LC-MS/MS while 97\% of them were identified by MALDI-TOF PMM. The high success rate from the PMM resulted from sample desalting/concentrating with ZipTip(C18) and optimization of several PMM search parameters including a 25 ppm average mass tolerance and the application of two different protein molecular weight search windows. By using this strategy, low-molecular weight (<23 kDa) proteins could be identified unambiguously with less than 5 peptide matches. Nine percent of spots were identified as containing multiple proteins. By using mu LC-MS/MS, 50\% of the spots analyzed were identified as containing multiple proteins. mu LC-MS/MS demonstrated better protein sequence coverage than MALDI-TOF PMM over the entire mass range of proteins identified. MALDI-TOF and PMM produced unique peptide molecular weight matches that were not identified by mu LC-MS/MS. By incorporating amino acid sequence modifications into database searches, combined sequence coverage obtained from these two complimentary ionization methods exceeded 50\% for approximately 70\% of the 162 spots analyzed. This improved sequence coverage in combination with enzymatic digestions of different specificity is proposed as a method for analysis of post-translational modification from 2D-gel separated proteins.</p>},
	keywords = {Amino Acid Sequence, Chromatography, Liquid, Databases, Protein, Electrophoresis, Gel, Two-Dimensional, Methanococcus, Molecular Sequence Data, Molecular Weight, Peptide Mapping, Proteins, Pyrococcus furiosus, Sensitivity and Specificity, Software, Spectrometry, Mass, Electrospray Ionization, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, Trypsin},
	issn = {1044-0305},
	author = {Lim, Hanjo and Eng, Jimmy and Yates, John R and Tollaksen, Sandra L and Giometti, Carol S and Holden, James F and Adams, Michael W W and Reich, Claudia I and Olsen, Gary J and Hays, Lara G}
}
