The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Current developments in SELDI affinity technology
Abstract
I. Introduction 34 II. Affinity Probes 35 A. Initial Surface‐Affinity Research 36 B. Self‐Assembled Monolayers 36 C. Dextran 36 D. Metal Affinity 36 E. Antibody‐ and Protein‐Affinity Probes 37 F. Lectin Affinity Capture 38 G. Inherent Hydrophobic Interaction Bio‐Probes 38 H. Bio‐Molecular Interaction Probes 39 III. SELDI 39 A. Fundamentals of SELDI 39 B. SELDI in Proteomics 40 IV. Conclusions 41 References 41 The overall history and recent advancements in Surface‐Enhanced Laser Desorption/Ionization (SELDI) affinity technology is reviewed. A detailed account of SELDI technology, utilizing Immobilized‐Metal Affinity surfaces, pseudo‐specific chromatographic surfaces, and biospecific interactive surfaces, is presented with particular emphasis placed upon examination of fundamental characteristics as well as specific applications for each. Finally, a detailed review of the specific use of such affinity surfaces in fundamental aspects of clinical, process, and research proteomics activity is presented. © 2003 Wiley Periodicals, Inc., Mass Spec Rev 23:34–44, 2004
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
Use of proteomic patterns in serum to identify ovarian cancer
Petricoin, E. F., Ardekani, A. M., Hitt, B. A., Levine, P. J., Fusaro, V. A., Steinberg, S. M., Mills, G. B., Simone, C., Fishman, D. A., Kohn, E. C., et al. (2002) · The Lancet · doi:10.1016/s0140-6736(02)07746-2 · Cited by 3,236
Cited by
Graphene-Based SELDI Probe with Ultrahigh Extraction and Sensitivity for DNA Oligomer
Tang, L. A. L., Wang, J., & Loh, K. P. (2010) · Journal of the American Chemical Society · doi:10.1021/ja104017y · Cited by 273
Gravett, M. G., Thomas, A., Schneider, K. A., Reddy, A. P., Dasari, S., Jacob, T., Lu, X., Rodland, M., Pereira, L., Sadowsky, D. W., et al. (2007) · Journal of Proteome Research · doi:10.1021/pr060149v · Cited by 81
Metadata
- Authors
- Tang, N., Tornatore, P., & Weinberger, S. R.
- Venue
- Mass Spectrometry Reviews
- Publisher
- Wiley
- Published
- 2003-11-07
- Volume
- 23
- Issue
- 1
- Pages
- 34-44
- ISSN
- 0277-7037 (ISSN-L)
- 1098-2787
- OpenAlex
- W2033166984
- Cited by
- 425
- References
- 1
- FWCI
- 21.35
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Current developments in SELDI affinity technology. https://app.cochat.ai/papers/10.1002/mas.10066
- The paper
- Tang, N., Tornatore, P., & Weinberger, S. R. (2004). Current developments in SELDI affinity technology. Mass Spectrometry Reviews. https://doi.org/10.1002/mas.10066
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.