The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Plasma Proteome Database as a resource for proteomics research: 2014 update
Open accessAbstract
Plasma Proteome Database (PPD; http://www.plasmaproteomedatabase.org/) was initially described in the year 2005 as a part of Human Proteome Organization's (HUPO's) pilot initiative on Human Plasma Proteome Project. Since then, improvements in proteomic technologies and increased throughput have led to identification of a large number of novel plasma proteins. To keep up with this increase in data, we have significantly enriched the proteomic information in PPD. This database currently contains information on 10,546 proteins detected in serum/plasma of which 3784 have been reported in two or more studies. The latest version of the database also incorporates mass spectrometry-derived data including experimentally verified proteotypic peptides used for multiple reaction monitoring assays. Other novel features include published plasma/serum concentrations for 1278 proteins along with a separate category of plasma-derived extracellular vesicle proteins. As plasma proteins have become a major thrust in the field of biomarkers, we have enabled a batch-based query designated Plasma Proteome Explorer, which will permit the users in screening a list of proteins or peptides against known plasma proteins to assess novelty of their data set. We believe that PPD will facilitate both clinical and basic research by serving as a comprehensive reference of plasma proteins in humans and accelerate biomarker discovery and translation efforts.
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Revisiting biomarker discovery by plasma proteomics
Geyer, P. E., Holdt, L. M., Teupser, D., & Mann, M. (2017) · Molecular Systems Biology · doi:10.15252/msb.20156297 · Cited by 917
Plasma Proteome Profiling to Assess Human Health and Disease
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Rapid, deep and precise profiling of the plasma proteome with multi-nanoparticle protein corona
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Detection of early pancreatic ductal adenocarcinoma with thrombospondin-2 and CA19-9 blood markers
Kim, J., Bamlet, W. R., Oberg, A. L., Chaffee, K. G., Donahue, G., Cao, X.-J., Chari, S., Garcia, B. A., Petersen, G. M., & Zaret, K. S. (2017) · Science Translational Medicine · doi:10.1126/scitranslmed.aah5583 · Cited by 269
Metadata
- Authors
- Nanjappa, V., Thomas, J. K., Marimuthu, A., Muthusamy, B., Radhakrishnan, A., Sharma, R., Ahmad Khan, A., Balakrishnan, L., Sahasrabuddhe, N. A., Kumar, S., Jhaveri, B. N., Sheth, K. V., Kumar Khatana, R., Shaw, P. G., Srikanth, S. M., Mathur, P. P., Shankar, S., Nagaraja, D., Christopher, R., Mathivanan, S., Raju, R., Sirdeshmukh, R., Chatterjee, A., Simpson, R. J., Harsha, H. C., Pandey, A., & Prasad, T. S. K.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-12-03
- Volume
- 42
- Issue
- D1
- Pages
- D959-D965
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W1975290591
- Cited by
- 314
- References
- 48
- FWCI
- 11.99
- Type
- journal article
- Language
- en
- Open access
- gold
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- The paper
- Nanjappa, V., Thomas, J. K., Marimuthu, A., Muthusamy, B., Radhakrishnan, A., Sharma, R., Ahmad Khan, A., Balakrishnan, L., Sahasrabuddhe, N. A., Kumar, S., Jhaveri, B. N., Sheth, K. V., Kumar Khatana, R., Shaw, P. G., Srikanth, S. M., Mathur, P. P., Shankar, S., Nagaraja, D., Christopher, R., . . . Prasad, T. S. K. (2014). Plasma Proteome Database as a resource for proteomics research: 2014 update. Nucleic Acids Research. https://doi.org/10.1093/nar/gkt1251
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
