Evidence map›Paper›PMID 35645210›Full record

ArticleAntibodies (Basel, Switzerland)2022

Antibody Light Chains: Key to Increased Monoclonal Antibody Yields in Expi293 Cells?

Siqi Gong, Seijal Gautam, Joshua D Coneglio, Hanna B Scinto, Ruth M Ruprecht

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Antibodies (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 46% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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 3 institutions in 1 country.

Siqi GongNew Iberia Research Center, University of Louisiana at Lafayette, New Iberia, LA 70560, USA.
Seijal GautamNew Iberia Research Center, University of Louisiana at Lafayette, New Iberia, LA 70560, USA.
Joshua D ConeglioNew Iberia Research Center, University of Louisiana at Lafayette, New Iberia, LA 70560, USA.
Hanna B ScintoDepartment of Microbiology, Immunology & Molecular Genetics, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA.
Ruth M RuprechtNew Iberia Research Center, University of Louisiana at Lafayette, New Iberia, LA 70560, USA.
Texas Biomedical Research Institute · USUniversity of Louisiana at Lafayette · USThe University of Texas Health Science Center at San Antonio · US

Funding

Virology and ImmunologyP01AI048240 · NIAID · UNIVERSITY OF WASHINGTON · PI RUPRECHT, RUTH MARGRIT · 2000 to 2020
$46.7M
Humoral Correlates of Protection Against HIVR01AI100703 · NIAID · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI RUPRECHT, RUTH MARGRIT · 2012 to 2016
$4.0M
NIAID NIH HHS P01 AI048240NIAID NIH HHS R01 AI100703
6 · The paper itself

Abstract

When constructing isogenic recombinant IgM-IgG pairs, we discovered that μ heavy chains strongly prefer partnering with λ light chains for optimal IgM expression in transiently cotransfected Expi293 cells. When μ chains were paired with κ light chains, IgM yields were low but increased by logs-up to 20,000 X-by using λ chains instead. Switching light chains did not alter epitope specificity. For dimeric IgA2, optimal expression involved pairing with λ chains, whereas light-chain preference varied for other immunoglobulin classes. In summary, recombinant IgM production can be drastically increased by using λ chains, an important finding in the use of IgM for mucosal immunoprophylaxis.

Indexed as

lambda light-chain preferencemAb yieldmonoclonal antibodyrecombinant dIgArecombinant IgGrecombinant IgM

Identifiers

PMID35645210
PMCPMC9149950
OpenAlexW4280499424

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.