The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
High-pH reversed-phase chromatography with fraction concatenation for 2D proteomic analysis
Open accessAbstract
Orthogonal high-resolution separations are critical for attaining improved analytical dynamic range and protein coverage in proteomic measurements. High-pH reversed-phase liquid chromatography (RPLC), followed by fraction concatenation, affords better peptide analysis than conventional strong cation-exchange chromatography applied for 2D proteomic analysis. For example, concatenated high-pH RPLC increased identification of peptides (by 1.8-fold) and proteins (by 1.6-fold) in shotgun proteomics analyses of a digested human protein sample. Additional advantages of high-pH RPLC with fraction concatenation include improved protein sequence coverage, simplified sample processing and reduced sample losses, making this an attractive alternative to strong cation-exchange chromatography in conjunction with second-dimension low-pH RPLC for 2D proteomics analyses.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Large-scale phosphorylation analysis of mouse liver
Villén, J., Beausoleil, S. A., Gerber, S. A., & Gygi, S. P. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0609836104 · Cited by 730
Cited by
Large-scale identification of ubiquitination sites by mass spectrometry
Udeshi, N. D., Mertins, P., Svinkina, T., & Carr, S. A. (2013) · Nature Protocols · doi:10.1038/nprot.2013.120 · Cited by 296
Proteomic techniques for characterisation of mesenchymal stem cell secretome
Kupcova Skalnikova, H. (2013) · Biochimie · doi:10.1016/j.biochi.2013.07.015 · Cited by 266
Khan, S. A., Wollaston-Hayden, E. E., Markowski, T. W., Higgins, L., & Mashek, D. G. (2015) · Journal of Lipid Research · doi:10.1194/jlr.m056812 · Cited by 64
Metadata
- Authors
- Yang, F., Shen, Y., Camp, D. G., & Smith, R. D.
- Venue
- Expert Review of Proteomics
- Publisher
- Informa UK Limited
- Published
- 2012-04
- Volume
- 9
- Issue
- 2
- Pages
- 129-134
- ISSN
- 1478-9450 (ISSN-L)
- 1744-8387
- OpenAlex
- W2052365638
- Cited by
- 294
- References
- 1
- FWCI
- 5.59
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: High-pH reversed-phase chromatography with fraction concatenation for 2D proteomic analysis. https://app.cochat.ai/papers/10.1586/epr.12.15
- The paper
- Yang, F., Shen, Y., Camp, D. G., & Smith, R. D. (2012). High-pH reversed-phase chromatography with fraction concatenation for 2D proteomic analysis. Expert Review of Proteomics. https://doi.org/10.1586/epr.12.15
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
