skip to main content

Title: Automated data extraction from in situ protein stable isotope probing studies

Protein stable isotope probing (protein-SIP) has strong potential for revealing key metabolizing taxa in complex microbial communities. While most protein-SIP work to date has been performed under controlled laboratory conditions to allow extensive isotope labeling of the target organism, a key application will be in situ studies of microbial communities under conditions that result in small degrees of partial labeling. One hurdle restricting large scale in situ protein-SIP studies is the lack of algorithms and software for automated data processing of the massive data sets resulting from such studies. In response, we developed Stable Isotope Probing Protein Extraction Resources software (SIPPER) and applied it for large scale extraction and visualization of data from short term (3 h) protein-SIP experiments performed in situ on Yellowstone phototrophic bacterial mats. Several metrics incorporated into the software allow it to support exhaustive analysis of the complex composite isotopic envelope observed as a result of low amounts of partial label incorporation. SIPPER also enables the detection of labeled molecular species without the need for any prior identification.
; ; ; ; ; ; ; ; ;
Publication Date:
OSTI Identifier:
Report Number(s):
47418; KP1601010
DOE Contract Number:
Resource Type:
Journal Article
Resource Relation:
Journal Name: Journal of Proteome Research, 13(3):1200-1210
Research Org:
Pacific Northwest National Laboratory (PNNL), Richland, WA (US), Environmental Molecular Sciences Laboratory (EMSL)
Sponsoring Org:
Country of Publication:
United States
Stable isotope probing; 13C labeling; carbon metabolism, proteomics, bioinformatics, metaproteomics; Environmental Molecular Sciences Laboratory