Premium
Microproteomics: Analysis of protein diversity in small samples
Author(s) -
Gutstein Howard B.,
Morris Jeffrey S.,
Annangudi Suresh P.,
Sweedler Jonathan V.
Publication year - 2008
Publication title -
mass spectrometry reviews
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.035
H-Index - 126
eISSN - 1098-2787
pISSN - 0277-7037
DOI - 10.1002/mas.20161
Subject(s) - chemistry , proteomics , computational biology , protein expression , identification (biology) , miniaturization , posttranslational modification , proteome , nanotechnology , biochemical engineering , neuroscience , biochemistry , biology , enzyme , botany , materials science , gene , engineering
Abstract Proteomics, the large‐scale study of protein expression in organisms, offers the potential to evaluate global changes in protein expression and their post‐translational modifications that take place in response to normal or pathological stimuli. One challenge has been the requirement for substantial amounts of tissue in order to perform comprehensive proteomic characterization. In heterogeneous tissues, such as brain, this has limited the application of proteomic methodologies. Efforts to adapt standard methods of tissue sampling, protein extraction, arraying, and identification are reviewed, with an emphasis on those appropriate to smaller samples ranging in size from several microliters down to single cells. The effects of miniaturization on these analyses are highlighted using neuroscience‐related examples, as are statistical issues unique to the high‐dimensional datasets generated by proteomic experiments. © 2008 Wiley Periodicals, Inc., Mass Spec Rev 27: 316–330, 2008