| Literature DB >> 28750034 |
Jeremy Potriquet1, Marut Laohaviroj2, Jeffrey M Bethony3,4, Jason Mulvenna1,5.
Abstract
To facilitate high-throughput proteomic analyses we have developed a modified FASP protocol which improves the rate at which protein samples can be processed prior to mass spectrometry. Adapting the original FASP protocol to a 96-well format necessitates extended spin times for buffer exchange due to the low centrifugation speeds tolerated by these devices. However, by using 96-well plates with a more robust polyethersulfone molecular weight cutoff membrane, instead of the cellulose membranes typically used in these devices, we could use isopropanol as a wetting agent, decreasing spin times required for buffer exchange from an hour to 30 minutes. In a typical work flow used in our laboratory this equates to a reduction of 3 hours per plate, providing processing times similar to FASP for the processing of up to 96 samples per plate. To test whether our modified protocol produced similar results to FASP and other FASP-like protocols we compared the performance of our modified protocol to the original FASP and the more recently described eFASP and MStern-blot. We show that all FASP-like methods, including our modified protocol, display similar performance in terms of proteins identified and reproducibility. Our results show that our modified FASP protocol is an efficient method for the high-throughput processing of protein samples for mass spectral analysis.Entities:
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Year: 2017 PMID: 28750034 PMCID: PMC5531558 DOI: 10.1371/journal.pone.0175967
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Total protein identification using different processing methods.
A. Bar plot comparison of the average number of non-redundant proteins identified across three replicates of each sample preparation method; B. Bar plot comparison of the average number of unique proteins identified in each replicate of each method; C. Average percent of total ‘cellular component’ GO terms returned by proteins identified in each replicate of each method that were associated with a cytosolic, membrane or nuclear subcellular location; D. Density plots of GRAVY scores for proteins identified using each protein processing method; E. The average mass of proteins identified in each replicate of each protein processing method; and F. Radar plot showing selected characteristics of proteins and peptides identified using each protein processing method.
Fig 2Upset analysis of proteins identified using each sample preparation method and characteristics of unique proteins only identified using a single method.
A. Upset chart showing overlap in proteins identified using each protein processing method. Numbers of identified proteins shared between different sets of methods are indicated in the top bar chart and the specific methods in each set are indicated with solid points below the bar chart. Total identifications for each method are indicated on the left as ‘Identifications per method’. Figure generated using Upset R package [18]; B. Density plots of GRAVY scores for proteins uniquely identified in each protein processing method; and C. Average percent of total ‘cellular component’ GO terms returned by proteins uniquely identified in each replicate of each method that were associated with a cytosolic, membrane or nuclear subcellular location.