2016
DOI: 10.1253/circj.cj-16-0499
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Current Trends and Future Perspectives of State-of-the-Art Proteomics Technologies Applied to Cardiovascular Disease Research

Abstract: The ongoing development of MS is in part influenced by the drive to identify and quantify as many proteins as possible in a given sample. 1,15-17 A major challenge in proteomics, however, is that the dynamic range of a typical deep sequencing analysis (5-6 orders in magnitude) does not reflect the more extensive dynamic range of protein abundance that is as extensive as 12 orders in plasma. 18-20 In addition, cytoskeletal and extracellular matrix proteins dominate samples, masking the less abundant transcripti… Show more

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Cited by 11 publications
(8 citation statements)
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“…1d). The high proportion of calcific stage-overrepresented transcripts may indicate a more diverse cellular environment potentially due to infiltration of inflammatory cells that would be more readily detected by the high sensitivity of mRNA-sequencing, in contrast to the relatively lower limit in the dynamic range of a typical proteomics analysis 14 . Gene expression profiling is frequently used to investigate disease states, however proteins are the major functional entity driving diseases 15 , for which reason we elected to pursue the remainder of the study with a specific focus on the valvular proteome.…”
Section: Resultsmentioning
confidence: 99%
“…1d). The high proportion of calcific stage-overrepresented transcripts may indicate a more diverse cellular environment potentially due to infiltration of inflammatory cells that would be more readily detected by the high sensitivity of mRNA-sequencing, in contrast to the relatively lower limit in the dynamic range of a typical proteomics analysis 14 . Gene expression profiling is frequently used to investigate disease states, however proteins are the major functional entity driving diseases 15 , for which reason we elected to pursue the remainder of the study with a specific focus on the valvular proteome.…”
Section: Resultsmentioning
confidence: 99%
“…The peptide library resources for glial fibrillary acidic protein (GFAP) and TUJ1 included the DDA data above (both proteins), our previous AV proteomics data (GFAP) ( 14 ), and http://www.peptideatlas.org/ [TUJ1 (TUBB3)]. We reacquired two peptide spectra per protein running the instrument in a targeted mode, also known as PRM ( 19 , 20 ). The chromatographic gradients were the same as the DDA runs.…”
Section: Methodsmentioning
confidence: 99%
“…While TMT coupled with mudpit offers certain advantages, some of the proteins are often missed due to limited dynamic range and contaminating peptides (Singh, Aikawa, & Aikawa, ). It is sometimes beneficial to apply more than one technique for quantification, as the complementarity of various approaches might generate a greater proteome coverage (O'Connell, Paulo, O'Brien, & Gygi, ).…”
Section: Resultsmentioning
confidence: 99%