An automated multidimensional protein identification technology for shotgun proteomics.
By Dirk Wolters, M. Washburn, John R. Yates III. Analytical Chemistry, 2001
1,692 citations recorded by the source corpus.
Subfields: Business and International Management, Information Systems and Management
View Paper: https://www.semanticscholar.org/paper/933e11db848c8941bd4fd74fdeb27e0a83eae270
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Citations in the corpus
- Proteomics by mass spectrometry: approaches, advances, and applications. (2009, methodology): “Other materials used as first dimension (1D) are size exclusion (97), anion-exchange, (105) and a mixed-bed approach (106).”
- Metabolomics in systems biology. (2003, methodology): “Alternatively, LC/LC coupling of different chromatographic columns prior to metabolite detection might work for metabolomic approaches; however, no method has been developed that is as successful as coupling ion exchange to reverse phase LC in peptide mixture analysis (105, 110).”
- Histone H3 methylation by Set2 directs deacetylation of coding regions by Rpd3S to suppress spurious intragenic transcription. (2005, methodology): “…G o [ D a t s b S 9 i t S S d c c etailed description of purifications is provided in the Supplemenal Data. udPIT Analysis of Protein Complexes ass spectrometry of protein complexes by MudPIT was perormed as described previously (McDonald et al., 2002; Washburn t al., 2001; Wolters et al., 2001).”
- Proteomics: the first decade and beyond (2003, background): “This approach is often referred to as 'shotgun' proteomic”
- Target identification using drug affinity responsive target stability (DARTS) (2009, methodology): “Furthermore, proteomic techniques including 2D gels (48), DIGE (49), and gel-free approaches like MudPIT (50) would likely provide even greater sensitivity in conjunction with DARTS.”