Evidence map›Paper›PMID 22446692›Full record

ArticleNature biotechnology2012

A proteomics approach for the identification and cloning of monoclonal antibodies from serum.

Wan Cheung Cheung, Sean A Beausoleil, Xiaowu Zhang, Shuji Sato, Sandra M Schieferl, James S Wieler, Jason G Beaudet, Ravi K Ramenani, Lana Popova, Michael J Comb and 2 more

Abstract read
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Article in Nature biotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed
16.0field-weighted citation impact, top 1% 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

103 citing papers in PubMed, 192 citations in OpenAlex.

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  7. A Handle on Mass Coincidence Errors inJournal of proteome research · 2024
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43 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

Wan Cheung CheungCell Signaling Technology, Inc., Danvers, Massachusetts, USA.
Sean A Beausoleil
Xiaowu Zhang
Shuji Sato
Sandra M Schieferl
James S Wieler
Jason G Beaudet
Ravi K Ramenani
Lana Popova
Michael J Comb
John Rush
Roberto D Polakiewicz
Cell Signaling Technology (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe a proteomics approach that identifies antigen-specific antibody sequences directly from circulating polyclonal antibodies in the serum of an immunized animal. The approach involves affinity purification of antibodies with high specific activity and then analyzing digested antibody fractions by nano-flow liquid chromatography coupled to tandem mass spectrometry. High-confidence peptide spectral matches of antibody variable regions are obtained by searching a reference database created by next-generation DNA sequencing of the B-cell immunoglobulin repertoire of the immunized animal. Finally, heavy and light chain sequences are paired and expressed as recombinant monoclonal antibodies. Using this technology, we isolated monoclonal antibodies for five antigens from the sera of immunized rabbits and mice. The antigen-specific activities of the monoclonal antibodies recapitulate or surpass those of the original affinity-purified polyclonal antibodies. This technology may aid the discovery and development of vaccines and antibody therapeutics, and help us gain a deeper understanding of the humoral response.

Indexed as

AnimalsAntibodiesAntibodies, MonoclonalAntibody SpecificityBlood ProteinsB-LymphocytesChromatography, LiquidImmunoglobulin GImmunoglobulin Variable RegionMiceProteomicsRabbitsReceptors, ProgesteroneSerumTandem Mass SpectrometryAntibodiesAntibodies, MonoclonalBlood ProteinsImmunoglobulin GImmunoglobulin Variable RegionReceptors, Progesterone

Identifiers

PMID22446692
OpenAlexW2050139272

What OpenQuestion holds

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Registered trials

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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.