The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
8‐Plex quantitation of changes in cerebrospinal fluid protein expression in subjects undergoing intravenous immunoglobulin treatment for Alzheimer's disease
Open accessAbstract
An 8‐plex version of an isobaric reagent for the quantitation of proteins using shotgun methods is presented. The 8‐plex version of the reagent relies on amine‐labeling chemistry of peptides similar to 4‐plex reagents. MS/MS reporter ions at 113, 114, 115, 116, 117, 118, 119, and 121 m/z are used to quantify protein expression. This technology which was first applied to a test mixture consisting of eight proteins and resulted in accurate quantitation, has the potential to increase throughput of analysis for quantitative shotgun proteomics experiments when compared to 2‐ and 4‐plex methods. The technology was subsequently applied to a longitudinal study of cerebrospinal fluid (CSF) proteins from subjects undergoing intravenous Ig treatment for Alzheimer's disease. Results from this study identify a number of protein expression changes that occur in CSF after 3 and 6 months of treatment compared to a baseline and compared to a drug washout period. A visualization tool was developed for this dataset and is presented. The tool can aid in the identification of key peptides and measurements. One conclusion aided by the visualization tool is that there are differences in considering peptide‐based observations versus protein‐based observations from quantitative shotgun proteomics studies.
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
Ross, P. L., Huang, Y. N., Marchese, J. N., Williamson, B., Parker, K., Hattan, S., Khainovski, N., Pillai, S., Dey, S., Daniels, S., et al. (2004) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m400129-mcp200 · Cited by 4,401
Self-citationImmunization with amyloid-β attenuates Alzheimer-disease-like pathology in the PDAPP mouse
Schenk, D., Barbour, R., Dunn, W., Gordon, G., Grajeda, H., Guido, T., Hu, K., Huang, J., Johnson-Wood, K., Khan, K., et al. (1999) · Nature · doi:10.1038/22124 · Cited by 3,160
Nilselid, A.-M., Davidsson, P., Nägga, K., Andreasen, N., Fredman, P., & Blennow, K. (2006) · Neurochemistry International · doi:10.1016/j.neuint.2005.12.005 · Cited by 104
Cited by
Proteomics by Mass Spectrometry: Approaches, Advances, and Applications
Yates, J. R., Ruse, C. I., & Nakorchevsky, A. (2009) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-061008-124934 · Cited by 1,078
MS3 eliminates ratio distortion in isobaric multiplexed quantitative proteomics
Ting, L., Rad, R., Gygi, S. P., & Haas, W. (2011) · Nature Methods · doi:10.1038/nmeth.1714 · Cited by 1,009
Increasing the Multiplexing Capacity of TMTs Using Reporter Ion Isotopologues with Isobaric Masses
McAlister, G. C., Huttlin, E. L., Haas, W., Ting, L., Jedrychowski, M. P., Rogers, J. C., Kuhn, K., Pike, I., Grothe, R. A., Blethrow, J. D., et al. (2012) · Analytical Chemistry · doi:10.1021/ac301572t · Cited by 605
Quantitative Proteomics by Metabolic Labeling of Model Organisms
Gouw, J. W., Krijgsveld, J., & Heck, A. J. R. (2010) · Molecular & Cellular Proteomics · doi:10.1074/mcp.r900001-mcp200 · Cited by 151
Importance of systems biology in engineering microbes for biofuel production
Mukhopadhyay, A., Redding, A. M., Rutherford, B. J., & Keasling, J. D. (2008) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2008.05.003 · Cited by 129
Metadata
- Authors
- Choe, L., D'Ascenzo, M., Relkin, N. R., Pappin, D., Ross, P., Williamson, B., Guertin, S., Pribil, P., & Lee, K. H.
- Venue
- PROTEOMICS
- Publisher
- Wiley
- Published
- 2007-10
- Volume
- 7
- Issue
- 20
- Pages
- 3651-3660
- ISSN
- 1615-9853 (ISSN-L)
- 1615-9861
- OpenAlex
- W2059179399
- Cited by
- 326
- References
- 3
- FWCI
- 12.05
- 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
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.