| Title |
Design and Application of a Data-Independent Precursor and Product Ion Repository
|
|---|---|
| Published in |
Journal of the American Society for Mass Spectrometry, July 2012
|
| DOI | 10.1007/s13361-012-0416-9 |
| Pubmed ID | |
| Authors |
Konstantinos Thalassinos, Johannes P. C. Vissers, Stefan Tenzer, Yishai Levin, J. Will Thompson, David Daniel, Darrin Mann, Mark R. DeLong, M. Arthur Moseley, Antoine H. America, Andrew K. Ottens, Greg S. Cavey, Georgios Efstathiou, James H. Scrivens, James I. Langridge, Scott J. Geromanos |
| Abstract |
The functional design and application of a data-independent LC-MS precursor and product ion repository for protein identification, quantification, and validation is conceptually described. The ion repository was constructed from the sequence search results of a broad range of discovery experiments investigating various tissue types of two closely related mammalian species. The relative high degree of similarity in protein complement, ion detection, and peptide and protein identification allows for the analysis of normalized precursor and product ion intensity values, as well as standardized retention times, creating a multidimensional/orthogonal queryable, qualitative, and quantitative space. Peptide ion map selection for identification and quantification is primarily based on replication and limited variation. The information is stored in a relational database and is used to create peptide- and protein-specific fragment ion maps that can be queried in a targeted fashion against the raw or time aligned ion detections. These queries can be conducted either individually or as groups, where the latter affords pathway and molecular machinery analysis of the protein complement. The presented results also suggest that peptide ionization and fragmentation efficiencies are highly conserved between experiments and practically independent of the analyzed biological sample when using similar instrumentation. Moreover, the data illustrate only minor variation in ionization efficiency with amino acid sequence substitutions occurring between species. Finally, the data and the presented results illustrate how LC-MS performance metrics can be extracted and utilized to ensure optimal performance of the employed analytical workflows. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 38% |
| Student > Ph. D. Student | 8 | 22% |
| Other | 4 | 11% |
| Lecturer | 1 | 3% |
| Professor | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 6 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 32% |
| Chemistry | 10 | 27% |
| Biochemistry, Genetics and Molecular Biology | 5 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 5 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 29 November 2022.
All research outputs
#6,784,176
of 25,460,914 outputs
Outputs from Journal of the American Society for Mass Spectrometry
#888
of 3,849 outputs
Outputs of similar age
#46,545
of 179,050 outputs
Outputs of similar age from Journal of the American Society for Mass Spectrometry
#9
of 56 outputs
Altmetric has tracked 25,460,914 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 3,849 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 76% of its peers.
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We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.