The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Enhanced FASP (eFASP) to Increase Proteome Coverage and Sample Recovery for Quantitative Proteomic Experiments
Open accessAbstract
The integrity of quantitative proteomic experiments depends on the reliability and the robustness of the protein extraction, solubilization, and digestion methods utilized. Combinations of detergents, chaotropes, and mechanical disruption can yield successful protein preparations; however, the methods subsequently required to eliminate these added contaminants, in addition to the salts, nucleic acids, and lipids already in the sample, can result in significant sample losses and incomplete contaminant removal. A recently introduced method for proteomic sample preparation, filter-aided sample preparation (FASP), cleverly circumvents many of the challenges associated with traditional protein purification methods but is associated with significant sample loss. Presented here is an enhanced FASP (eFASP) approach that incorporates alternative reagents to those of traditional FASP, improving sensitivity, recovery, and proteomic coverage for processed samples. The substitution of 0.2% deoxycholic acid for urea during eFASP digestion increases tryptic digestion efficiency for both cytosolic and membrane proteins yet obviates needed cleanup steps associated with use of the deoxycholate sodium salt. For classic FASP, prepassivating Microcon filter surfaces with 5% TWEEN-20 reduces peptide loss by 300%. An express eFASP method uses tris(2-carboxyethyl)phosphine and 4-vinylpyridine to alkylate proteins prior to deposition on the Microcon filter, increasing alkylation specificity and speeding processing.
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Cites
Universal sample preparation method for proteome analysis
Wiśniewski, J. R., Zougman, A., Nagaraj, N., & Mann, M. (2009) · Nature Methods · doi:10.1038/nmeth.1322 · Cited by 8,352
Absolute Quantification of Proteins by LCMSE
Silva, J. C., Gorenstein, M. V., Li, G.-Z., Vissers, J. P. C., & Geromanos, S. J. (2006) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m500230-mcp200 · Cited by 1,529
Wiśniewski, J. R., Zougman, A., & Mann, M. (2009) · Journal of Proteome Research · doi:10.1021/pr900748n · Cited by 545
Wiśniewski, J. R., Ostasiewicz, P., & Mann, M. (2011) · Journal of Proteome Research · doi:10.1021/pr200019m · Cited by 290
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Rustenhoven, J., Drieu, A., Mamuladze, T., de Lima, K. A., Dykstra, T., Wall, M., Papadopoulos, Z., Kanamori, M., Salvador, A. F., Baker, W., et al. (2021) · Cell · doi:10.1016/j.cell.2020.12.040 · Cited by 685
Essuman, K., Summers, D. W., Sasaki, Y., Mao, X., DiAntonio, A., & Milbrandt, J. (2017) · Neuron · doi:10.1016/j.neuron.2017.02.022 · Cited by 619
Best practices and benchmarks for intact protein analysis for top-down mass spectrometry
Donnelly, D. P., Rawlins, C. M., DeHart, C. J., Fornelli, L., Schachner, L. F., Lin, Z., Lippens, J. L., Aluri, K. C., Sarin, R., Chen, B., et al. (2019) · Nature Methods · doi:10.1038/s41592-019-0457-0 · Cited by 377
Self-citationRABIF/MSS4 is a Rab-stabilizing holdase chaperone required for GLUT4 exocytosis
Gulbranson, D. R., Davis, E. M., Demmitt, B. A., Ouyang, Y., Ye, Y., Yu, H., & Shen, J. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1712176114 · Cited by 67
Doucette, A. A., Vieira, D. B., Orton, D. J., & Wall, M. J. (2014) · Journal of Proteome Research · doi:10.1021/pr500864a · Cited by 63
Metadata
- Authors
- Erde, J., Loo, R. R. O., & Loo, J. A.
- Venue
- Journal of Proteome Research
- Publisher
- American Chemical Society (ACS)
- Published
- 2014-03-06
- Volume
- 13
- Issue
- 4
- Pages
- 1885-1895
- ISSN
- 1535-3893 (ISSN-L)
- 1535-3907
- OpenAlex
- W1973592885
- Cited by
- 331
- References
- 4
- FWCI
- 11.70
- Type
- journal article
- Language
- en
- Open access
- hybrid
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