| Title |
Plasma preparation to measure FDA‐approved protein markers by selected reaction monitoring
|
|---|---|
| Published in |
Clinical and Translational Medicine, October 2015
|
| DOI | 10.1186/s40169-015-0071-4 |
| Pubmed ID | |
| Authors |
Olga I. Kiseleva, Yulia A. Romashova, Natalia E. Moskaleva, Natalia A. Petushkova, Nadezhda B. Teryaeva, Artem Yu. Belyaev, Andrey V. Lisitsa |
| Abstract |
The development of commercially available panels for human blood plasma screening via selected reaction monitoring (SRM) offers reliable, cost-efficient and highly-standardized discovery and validation of protein biomarkers. However, protein detection by SRM can be hampered by interfering peptide fragment ions. To estimate the influence of interference on protein detection, we performed different types of sample preparation and implemented SRM measurements for well-characterized protein targets approved by the US Food and Drug Administration. We used the PlasmaDeepDive™ SRM assay from BiognoSYS AG for absolute quantification of 18 proteins in 19 samples of human plasma using three different protocols for sample preparation. SRM measurements were performed using iRT standards for retention time normalization and isotopically-labeled reference peptides for absolute quantification. SpectroDive™ software was used for automated detection of reliable peak groups. Fourteen targeted proteins were quantitatively measured in more than half of the samples. Depletion of highly-abundant plasma proteins and peptide fraction clean-up on centrifuge plates resulted in detection of all 18 targeted proteins in femtomolar to picomolar concentrations. It was shown that commercially designed SRM kits are suitable for SRM detection of well-established plasma/serum biomarkers. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 31% |
| Student > Postgraduate | 2 | 15% |
| Researcher | 2 | 15% |
| Student > Doctoral Student | 1 | 8% |
| Other | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 2 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 31% |
| Unspecified | 1 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Medicine and Dentistry | 1 | 8% |
| Neuroscience | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 4 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 October 2015.
All research outputs
#19,945,185
of 25,374,917 outputs
Outputs from Clinical and Translational Medicine
#712
of 1,060 outputs
Outputs of similar age
#199,211
of 291,054 outputs
Outputs of similar age from Clinical and Translational Medicine
#2
of 4 outputs
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