The DOI matches its Crossref record.
An Automated On-Line Multidimensional HPLC System for Protein and Peptide Mapping with Integrated Sample Preparation
Abstract
A comprehensive on-line two-dimensional 2D-HPLC system with integrated sample preparation was developed for the analysis of proteins and peptides with a molecular weight below 20 kDa. The system setup provided fast separations and high resolving power and is considered to be a complementary technique to 2D gel electrophoresis in proteomics. The on-line system reproducibly resolved approximately 1000 peaks within the total analysis time of 96 min and avoided sample losses by off-line sample handling. The low-molecular-weight target analytes were separated from the matrix using novel silica-based restricted access materials (RAM) with ion exchange functionalities. The size-selective sample fractionation step was followed by anion or cation exchange chromatography as the first dimension. The separation mechanism in the subsequent second dimension employed hydrophobic interactions using short reversed-phase (RP) columns. A new column-switching technique, including four parallel reversed-phase columns, was employed in the second dimension for on-line fractionation and separation. Gradient elution and UV detection of two columns were performed simultaneously while loading the third and regenerating the fourth column. The total integrated workstation was operated in an unattended mode. Selected peaks were collected and analyzed off-line by MALDI-TOF mass spectrometry. The system was applied to protein mapping of biological samples of human hemofiltrate as well as of cell lysates originating from a human fetal fibroblast cell line, demonstrating it to be a viable alternative to 2D gel electrophoresis for mapping peptides and small proteins.
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
Cited by
Gilar, M., Olivova, P., Daly, A. E., & Gebler, J. C. (2005) · Journal of Separation Science · doi:10.1002/jssc.200500116 · Cited by 425
Wu, Q., Yuan, H., Zhang, L., & Zhang, Y. (2012) · Analytica Chimica Acta · doi:10.1016/j.aca.2012.04.010 · Cited by 94
Hu, L., Boos, K.-S., Ye, M., Wu, R., & Zou, H. (2009) · Journal of Chromatography A · doi:10.1016/j.chroma.2009.05.030 · Cited by 56
Shi, C., Chen, X., Zhong, X., Yang, Y., Lin, D., & Chen, R. (2024) · Biotechnology and Bioengineering · doi:10.1002/bit.28660 · Cited by 13
Metadata
- Authors
- Wagner, K., Miliotis, T., Marko-Varga, G., Bischoff, R., & Unger, K. K.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2002-01-18
- Volume
- 74
- Issue
- 4
- Pages
- 809-820
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W2151002547
- Cited by
- 258
- References
- 0
- FWCI
- 12.22
- Type
- journal article
- Language
- en
- Open access
- closed
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
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.