Evidence map›Paper›PMID 29973938›Full record

ArticleFrontiers in immunology2018

Synthetic Standards Combined With Error and Bias Correction Improve the Accuracy and Quantitative Resolution of Antibody Repertoire Sequencing in Human Naïve and Memory B Cells.

Simon Friedensohn, John M Lindner, Vanessa Cornacchione, Mariavittoria Iazeolla, Enkelejda Miho, Andreas Zingg, Simon Meng, Elisabetta Traggiai, Sai T Reddy

Abstract read
In one paragraph

Article in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

  1. Challenges and future directions of AIRR-seq-based diagnostics.Immunoinformatics (Amsterdam, Netherlands) · 2025
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  5. AIRR Community Guide to Planning and Performing AIRR-Seq Experiments.Methods in molecular biology (Clifton, N.J.) · 2022
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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

9 authors.

Simon FriedensohnDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
John M LindnerNovartis Institutes for BioMedical Research, Basel, Switzerland.
Vanessa CornacchioneNovartis Institutes for BioMedical Research, Basel, Switzerland.
Mariavittoria IazeollaNovartis Institutes for BioMedical Research, Basel, Switzerland.
Enkelejda MihoDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Andreas ZinggDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Simon MengDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Elisabetta TraggiaiNovartis Institutes for BioMedical Research, Basel, Switzerland.
Sai T ReddyDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput sequencing of immunoglobulin (Ig) repertoires (Ig-seq) is a powerful method for quantitatively interrogating B cell receptor sequence diversity. When applied to human repertoires, Ig-seq provides insight into fundamental immunological questions, and can be implemented in diagnostic and drug discovery projects. However, a major challenge in Ig-seq is ensuring accuracy, as library preparation protocols and sequencing platforms can introduce substantial errors and bias that compromise immunological interpretation. Here, we have established an approach for performing highly accurate human Ig-seq by combining synthetic standards with a comprehensive error and bias correction pipeline. First, we designed a set of 85 synthetic antibody heavy-chain standards (

Indexed as

antibody repertoireB cellsbioinformaticsnext-generation sequencingsystems immunologyunique molecular identifiers

Identifiers

PMID29973938
PMCPMC6019461

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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.