Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312138271> ?p ?o ?g. }
- W4312138271 abstract "ABSTRACT Recent advances in proteomics technologies have enabled analysis of thousands of proteins in a high-throughput manner. Mass Spectrometry (MS) based proteomics, uses a peptide centric approach where biological samples undergo a specific proteolytic digestion and then only unique peptides are used for protein identification and quantification. Considering the fact that a single protein may have multiple unique peptides and a number of different forms, it becomes essential to understand dynamic protein-peptide relationship to ensure robust and reliable peptide centric protein analysis. In this study, we investigated the correlation between protein concentration and corresponding unique peptide responses under conventional proteolytic digestion conditions. Protein-peptide correlation, digestion efficiency, matrix-effect, and concentration-effect were evaluated. Twelve unique alpha-2-macroglobulin (A2MG) peptides were monitored using a targeted MS approach to acquire insights into protein-peptide dynamics. Although the peptide responses were reproducible between replicates, protein-peptide correlation was moderate in protein standards and low in complex matrices. The results suggest that reproducible peptide signal could be misleading in clinical studies and a peptide selection could dramatically change the outcome at protein level. This is the first study investigating quantitative protein-peptide correlations in biological samples using all unique peptides representing the same protein and opens a discussion on peptide-based proteomics." @default.
- W4312138271 created "2023-01-04" @default.
- W4312138271 creator A5010868898 @default.
- W4312138271 creator A5076876012 @default.
- W4312138271 date "2022-12-12" @default.
- W4312138271 modified "2023-10-17" @default.
- W4312138271 title "A single protein to multiple peptides: Investigation of protein-peptide relationship using targeted alpha-2-macroglobulin analysis" @default.
- W4312138271 cites W1552928638 @default.
- W4312138271 cites W1561283795 @default.
- W4312138271 cites W1576487122 @default.
- W4312138271 cites W1877838458 @default.
- W4312138271 cites W1974500649 @default.
- W4312138271 cites W1977181213 @default.
- W4312138271 cites W1982782877 @default.
- W4312138271 cites W1988213262 @default.
- W4312138271 cites W1991683095 @default.
- W4312138271 cites W1995403127 @default.
- W4312138271 cites W1995638700 @default.
- W4312138271 cites W1996992222 @default.
- W4312138271 cites W1997552453 @default.
- W4312138271 cites W2009117778 @default.
- W4312138271 cites W2012900739 @default.
- W4312138271 cites W2014093205 @default.
- W4312138271 cites W2021724642 @default.
- W4312138271 cites W2051319314 @default.
- W4312138271 cites W2051915643 @default.
- W4312138271 cites W2061678926 @default.
- W4312138271 cites W2065096062 @default.
- W4312138271 cites W2068873142 @default.
- W4312138271 cites W2075023376 @default.
- W4312138271 cites W2077796330 @default.
- W4312138271 cites W2085639857 @default.
- W4312138271 cites W2093348051 @default.
- W4312138271 cites W2101303489 @default.
- W4312138271 cites W2106376891 @default.
- W4312138271 cites W2107710616 @default.
- W4312138271 cites W2109326791 @default.
- W4312138271 cites W2109821812 @default.
- W4312138271 cites W2118812883 @default.
- W4312138271 cites W2124157967 @default.
- W4312138271 cites W2133527488 @default.
- W4312138271 cites W2141091417 @default.
- W4312138271 cites W2151131770 @default.
- W4312138271 cites W2155298453 @default.
- W4312138271 cites W2167089719 @default.
- W4312138271 cites W2170791918 @default.
- W4312138271 cites W2321436468 @default.
- W4312138271 cites W2463634719 @default.
- W4312138271 cites W2488048472 @default.
- W4312138271 cites W2526195589 @default.
- W4312138271 cites W2554018612 @default.
- W4312138271 cites W2560310361 @default.
- W4312138271 cites W2586691160 @default.
- W4312138271 cites W2588608138 @default.
- W4312138271 cites W2615854615 @default.
- W4312138271 cites W2762693156 @default.
- W4312138271 cites W2769981563 @default.
- W4312138271 cites W2786505886 @default.
- W4312138271 cites W2791319349 @default.
- W4312138271 cites W2884823586 @default.
- W4312138271 cites W2888320012 @default.
- W4312138271 cites W2917576966 @default.
- W4312138271 cites W2945591362 @default.
- W4312138271 cites W2958167545 @default.
- W4312138271 cites W2963810657 @default.
- W4312138271 cites W2971455026 @default.
- W4312138271 cites W2974333366 @default.
- W4312138271 cites W2976501792 @default.
- W4312138271 cites W2999304916 @default.
- W4312138271 cites W3011812214 @default.
- W4312138271 cites W3037981603 @default.
- W4312138271 cites W3038570617 @default.
- W4312138271 cites W308482741 @default.
- W4312138271 cites W3093527828 @default.
- W4312138271 cites W3109239954 @default.
- W4312138271 cites W3111214914 @default.
- W4312138271 cites W3112376646 @default.
- W4312138271 cites W3139359193 @default.
- W4312138271 cites W3197489780 @default.
- W4312138271 cites W3211318948 @default.
- W4312138271 cites W3213430228 @default.
- W4312138271 cites W4206796650 @default.
- W4312138271 cites W4214530719 @default.
- W4312138271 cites W4220828159 @default.
- W4312138271 cites W4244736178 @default.
- W4312138271 cites W4280574325 @default.
- W4312138271 cites W4289313872 @default.
- W4312138271 cites W4304183098 @default.
- W4312138271 cites W4309541197 @default.
- W4312138271 doi "https://doi.org/10.1101/2022.12.11.519938" @default.
- W4312138271 hasPublicationYear "2022" @default.
- W4312138271 type Work @default.
- W4312138271 citedByCount "0" @default.
- W4312138271 crossrefType "posted-content" @default.
- W4312138271 hasAuthorship W4312138271A5010868898 @default.
- W4312138271 hasAuthorship W4312138271A5076876012 @default.
- W4312138271 hasBestOaLocation W43121382711 @default.
- W4312138271 hasConcept C104317684 @default.
- W4312138271 hasConcept C112979427 @default.
- W4312138271 hasConcept C162356407 @default.