Evidence map›Paper›PMID 23017270›Full record

ArticleBMC biology2012

Rapid production of antigen-specific monoclonal antibodies from a variety of animals.

Nobuyuki Kurosawa, Megumi Yoshioka, Rika Fujimoto, Fuminori Yamagishi, Masaharu Isobe

Open access · goldAbstract read
In one paragraph

Article in BMC biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

30 citing papers in PubMed, 62 citations in OpenAlex.

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  13. Nanobodies-Useful Tools for Allergy Treatment?Frontiers in immunology · 2020
    Review
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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

5 authors at 2 institutions in 1 country.

Nobuyuki KurosawaLaboratory of Molecular and Cellular Biology, Faculty of Science and Engineering, Graduate School, University of Toyama, 3190 Gofuku, Toyama-shi, Toyama, 930-8555, Japan.
Megumi Yoshioka
Rika Fujimoto
Fuminori Yamagishi
Masaharu Isobe
University of Toyama · JPKōchi University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough a variety of animals have been used to produce polyclonal antibodies against antigens, the production of antigen-specific monoclonal antibodies from animals remains challenging.

resultsWe propose a simple and rapid strategy to produce monoclonal antibodies from a variety of animals. By staining lymph node cells with an antibody against immunoglobulin and a fluorescent dye specific for the endoplasmic reticulum, plasma/plasmablast cells were identified without using a series of antibodies against lineage markers. By using a fluorescently labeled antigen as a tag for a complementary cell surface immunoglobulin, antigen-specific plasma/plasmablast cells were sorted from the rest of the cell population by fluorescence-activated cell sorting. Amplification of cognate pairs of immunoglobulin heavy and light chain genes followed by DNA transfection into 293FT cells resulted in the highly efficient production of antigen-specific monoclonal antibodies from a variety of immunized animals.

conclusionsOur technology eliminates the need for both cell propagation and screening processes, offering a significant advantage over hybridoma and display strategies.

Indexed as

AnimalsAntibodies, MonoclonalAntibody SpecificityBiomarkersCell LineageCell SeparationEndoplasmic ReticulumEpitope MappingEpitopesFlow CytometryFluorescent DyesHumansImmunoassayImmunoglobulin GInsulinPhylogenyAntibodies, MonoclonalBiomarkersEpitopesFluorescent DyesImmunoglobulin GInsulin

Identifiers

PMID23017270
PMCPMC3520816
OpenAlexW2058777306

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.