PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
August 16, 2018Journal of Proteome Research369 citations

S-Trap, an Ultrafast Sample-Preparation Approach for Shotgun Proteomics

View Full Paper
MHMilkessa HailemariamRERodrigo Vargas EguezHSHarinder Singh

Key Points

Key points are not available for this paper at this time.

Abstract

The success of shotgun proteomic analysis depends largely on how samples are prepared. Current approaches (such as those that are gel-, solution-, or filter-based), although being extensively employed in the field, are time-consuming and less effective with respect to the repetitive sample processing, recovery, and overall yield. As an alternative, the suspension trapping (S-Trap) filter has been commercially available very recently in the format of a single or 96-well filter plate. In contrast to the conventional filter-aided sample preparation (FASP) approach, which utilizes a molecular weight cut-off (MWCO) membrane as the filter and requires hours of processing before digestion-ready proteins can be obtained, the S-Trap employs a three-dimensional porous material as filter media and traps particulate protein suspensions with the subsequent depletion of interfering substances and in-filter digestion. Due to the large (submicron) pore size, each centrifugation cycle of the S-Trap filter only takes 1 min, which significantly reduces the total processing time from approximately 3 h by FASP to less than 15 min, suggesting an ultrafast sample-preparation approach for shotgun proteomics. Here, we comprehensively evaluate the performance of the individual S-Trap filter and 96-well filter plate in the context of global protein identification and quantitation using whole-cell lysate and clinically relevant sputum samples.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Hailemariam et al. (2018) studied this question.

synapsesocial.com/papers/69dee1b240ea065679559b35https://doi.org/10.1021/acs.jproteome.8b00505
Ask AI
Helpful
Bookmark
Share
View Full Paper