Evidence map›Paper›PMID 40699424›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

RNA-Based High-Throughput Sequencing of the Human Immunoglobulin Repertoire.

Séléna Teillaud, Sébastien Bender, Virginie Pascal

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Séléna TeillaudImmunology Laboratory of Dupuytren Hospital University Center (CHU) of Limoges, Limoges, France.ORCID https://orcid.org/0000-0002-8830-955X
Sébastien BenderImmunology Laboratory of Dupuytren Hospital University Center (CHU) of Limoges, Limoges, France.
Virginie PascalImmunology Laboratory of Dupuytren Hospital University Center (CHU) of Limoges, Limoges, France. virginie.pascal@unilim.fr.ORCID https://orcid.org/0000-0002-1069-3248

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lymphocytes use somatic diversification processes to express a wide variability of antigen receptors, generating a highly diversified repertoire that is unique to each individual. The study of these repertoires is now possible with the advent of next-generation sequencing (NGS) techniques. Here we describe the "RACE Rep-Seq" methodology for high-throughput sequencing of immunoglobulin (Ig) repertoires using RNA templates. The preparation of libraries is based on the conversion of RNA samples into cDNA using the 5'RACE (Rapid Amplification of cDNA Ends) technique and a set of primers specific for the constant domains of the heavy (Cμ, Cγ, Cα) and light (Cκ, Cλ) chains, thus targeting almost the entire Ig repertoire. During this reverse transcription step, unique molecular identifiers (UMIs) are incorporated at the 5' ends to correct PCR amplification biases and sequencing errors. An initial amplification step is then performed using nested primers specific for the heavy and light constant domains to increase the specificity of the amplification of Ig transcripts. This is followed by two sequential PCRs required for paired-end sequencing using asymmetric paired-end Illumina

Indexed as

High-Throughput Nucleotide SequencingImmunoglobulinsRNADNA, ComplementaryGene LibraryHumansPolymerase Chain ReactionDNA, ComplementaryImmunoglobulinsRNA5′RACEAsymmetric paired-end sequencingImmunoglobulin repertoiremRNANext-generation sequencingRepSeqUnique molecular identifiers (UMI)

Identifiers

PMID40699424

What OpenQuestion holds

Textmetadata
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.