Evidence map›Paper›PMID 25512614›Full record

ArticleMolecular & cellular proteomics : MCP2015

Anti-peptide monoclonal antibodies generated for immuno-multiple reaction monitoring-mass spectrometry assays have a high probability of supporting Western blot and ELISA.

Regine M Schoenherr, Richard G Saul, Jeffrey R Whiteaker, Ping Yan, Gordon R Whiteley, Amanda G Paulovich

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 33 citations in OpenAlex.

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  7. Localization and function of aExperimental biology and medicine (Maywood, N.J.) · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Regine M SchoenherrFrom the ‡Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N., P.O. Box 19024, Seattle, Washington 98109-1024;
Richard G Saul§Leidos Biochemical Research, Inc., Frederick National Laboratory for Cancer Research ATRF, C1014, 8560 Progress Drive, Frederick, Maryland 21701.
Jeffrey R WhiteakerFrom the ‡Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N., P.O. Box 19024, Seattle, Washington 98109-1024;
Ping YanFrom the ‡Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N., P.O. Box 19024, Seattle, Washington 98109-1024;
Gordon R Whiteley§Leidos Biochemical Research, Inc., Frederick National Laboratory for Cancer Research ATRF, C1014, 8560 Progress Drive, Frederick, Maryland 21701.
Amanda G PaulovichFrom the ‡Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N., P.O. Box 19024, Seattle, Washington 98109-1024; apaulovi@fhcrc.org.
Cape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa · ZALeidos (United States) · US

Funding

Proteo-genomic Discovery, Prioritization and Verification of Cancer BiomarkersU24CA160034 · NCI · BROAD INSTITUTE, INC. · PI CARR, STEVEN A, PAULOVICH, AMANDA G · 2011 to 2016
$16.2M
NCI NIH HHS U24 CA160034NCI NIH HHS U24CA160034
6 · The paper itself

Abstract

Immunoaffinity enrichment of peptides coupled to targeted, multiple reaction monitoring-mass spectrometry (immuno-MRM) has recently been developed for quantitative analysis of peptide and protein expression. As part of this technology, antibodies are generated to short, linear, tryptic peptides that are well-suited for detection by mass spectrometry. Despite its favorable analytical performance, a major obstacle to widespread adoption of immuno-MRM is a lack of validated affinity reagents because commercial antibody suppliers are reluctant to commit resources to producing anti-peptide antibodies for immuno-MRM while the market is much larger for conventional technologies, especially Western blotting and ELISA. Part of this reluctance has been the concern that affinity reagents generated to short, linear, tryptic peptide sequences may not perform well in traditional assays that detect full-length proteins. In this study, we test the feasibility and success rates of generating immuno-MRM monoclonal antibodies (mAbs) (targeting tryptic peptide antigens) that are also compatible with conventional, protein-based immuno-affinity technologies. We generated 40 novel, peptide immuno-MRM assays and determined that the cross-over success rates for using immuno-MRM monoclonals for Western blotting is 58% and for ELISA is 43%, which compare favorably to cross-over success rates amongst conventional immunoassay technologies. These success rates could most likely be increased if conventional and immuno-MRM antigen design strategies were combined, and we suggest a workflow for such a comprehensive approach. Additionally, the 40 novel immuno-MRM assays underwent fit-for-purpose analytical validation, and all mAbs and assays have been made available as a resource to the community via the Clinical Proteomic Tumor Analysis Consortium's (CPTAC) Antibody (http://antibodies.cancer.gov) and Assay Portals (http://assays.cancer.gov), respectively. This study also represents the first determination of the success rate (92%) for generating mAbs for immuno-MRM using a recombinant B cell cloning approach, which is considerably faster than the traditional hybridoma approach.

Indexed as

Blotting, WesternEnzyme-Linked Immunosorbent AssayAmino Acid SequenceAnimalsAntibodies, MonoclonalHumansHybridomasIndicators and ReagentsMass SpectrometryMolecular Sequence DataPeptidesRabbitsRecombinant ProteinsReproducibility of ResultsAntibodies, MonoclonalIndicators and ReagentsPeptidesRecombinant Proteins

Identifiers

PMID25512614
PMCPMC4350033
OpenAlexW2085707013

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.