Evidence map›Paper›PMID 25345460›Full record

ArticleScientific reports2014

Toward a more accurate view of human B-cell repertoire by next-generation sequencing, unbiased repertoire capture and single-molecule barcoding.

Linling He, Devin Sok, Parisa Azadnia, Jessica Hsueh, Elise Landais, Melissa Simek, Wayne C Koff, Pascal Poignard, Dennis R Burton, Jiang Zhu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

55 citing papers in PubMed, 88 citations in OpenAlex.

  1. Review
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  11. A VScience advances · 2020
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  17. Review
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  19. Article
  20. 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

10 authors at 2 institutions in 1 country.

Linling HeDepartment of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, California 92037, USA.
Devin Sok1] Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, California 92037, USA [2] IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, California 92037, USA [3] International AIDS Vaccine Initiative (IAVI), New York, NY 10004, USA [4] Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, California 92037, USA.
Parisa AzadniaDepartment of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, California 92037, USA.
Jessica Hsueh1] Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, California 92037, USA [2] IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, California 92037, USA [3] Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, California 92037, USA.
Elise LandaisIAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, California 92037, USA.
Melissa SimekInternational AIDS Vaccine Initiative (IAVI), New York, NY 10004, USA.
Wayne C KoffInternational AIDS Vaccine Initiative (IAVI), New York, NY 10004, USA.
Pascal Poignard1] Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, California 92037, USA [2] IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, California 92037, USA [3] International AIDS Vaccine Initiative (IAVI), New York, NY 10004, USA.
Dennis R Burton1] Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, California 92037, USA [2] IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, California 92037, USA [3] International AIDS Vaccine Initiative (IAVI), New York, NY 10004, USA [4] Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, California 92037, USA [5] Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard, Cambridge, MA 02139-3583, USA.
Jiang Zhu1] Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, California 92037, USA [2] Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, California 92037, USA [3] Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, California 92037, USA.
Scripps Research Institute · USInternational AIDS Vaccine Initiative · US

Funding

Support Component D/Vaccine Discovery, Concept to ClinicUM1AI100663 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI BAROUCH, DAN H. · 2012 to 2018
$131.5M
NIAID NIH HHS UM1 AI100663
6 · The paper itself

Abstract

B-cell repertoire analysis using next-generation sequencing has become a valuable tool for interrogating the genetic record of humoral response to infection. However, key obstacles such as low throughput, short read length, high error rate, and undetermined bias of multiplex PCR method have hindered broader application of this technology. In this study, we report several technical advances in antibody repertoire sequencing. We first demonstrated the ability to sequence antibody variable domains using the Ion Torrent PGM platform. As a test case, we analyzed the PGT121 class of antibodies from IAVI donor 17, an HIV-1-infected individual. We then obtained "unbiased" antibody repertoires by sequencing the 5'-RACE PCR products of B-cell transcripts from IAVI donor 17 and two HIV-1-uninfected individuals. We also quantified the bias of previously published gene-specific primers by comparing the repertoires generated by 5'-RACE PCR and multiplex PCR. We further developed a single-molecule barcoding strategy to reduce PCR-based amplification noise. Lastly, we evaluated several new PGM technologies in the context of antibody sequencing. We expect that, based upon long-read and high-fidelity next-generation sequencing technologies, the unbiased analysis will provide a more accurate view of the overall antibody repertoire while the barcoding strategy will facilitate high-resolution analysis of individual antibody families.

Indexed as

AntibodiesAntibodies, NeutralizingAntibody FormationB-LymphocytesDNA Barcoding, TaxonomicHigh-Throughput Nucleotide SequencingHIV-1HIV InfectionsHumansImmunoglobulin Heavy ChainsImmunoglobulin Light ChainsPhylogenyPolymerase Chain ReactionReproducibility of ResultsSomatic Hypermutation, ImmunoglobulinAntibodiesAntibodies, NeutralizingImmunoglobulin Heavy ChainsImmunoglobulin Light Chains

Identifiers

PMID25345460
PMCPMC4894419
OpenAlexW2039512961

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.