Evidence map›Paper›PMID 24391640›Full record

ArticleFrontiers in immunology2013

Preparing unbiased T-cell receptor and antibody cDNA libraries for the deep next generation sequencing profiling.

Ilgar Z Mamedov, Olga V Britanova, Ivan V Zvyagin, Maria A Turchaninova, Dmitriy A Bolotin, Ekaterina V Putintseva, Yuriy B Lebedev, Dmitriy M Chudakov

Abstract read
In one paragraph

Article in Frontiers in immunology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers.

0numbers the graph read from it
0cells of the map it votes in
96citing 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

96 citing papers in PubMed.

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  18. T-Cell Receptor Repertoire Sequencing in the Era of Cancer Immunotherapy.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
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36 more citing papers are in PubMed but not listed here.

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

8 authors.

Ilgar Z MamedovShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science , Moscow , Russia ; CEITEC, Masaryk University , Brno , Czech Republic.
Olga V BritanovaShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science , Moscow , Russia.
Ivan V ZvyaginShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science , Moscow , Russia ; CEITEC, Masaryk University , Brno , Czech Republic.
Maria A TurchaninovaShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science , Moscow , Russia.
Dmitriy A BolotinShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science , Moscow , Russia.
Ekaterina V PutintsevaShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science , Moscow , Russia.
Yuriy B LebedevShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science , Moscow , Russia.
Dmitriy M ChudakovShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science , Moscow , Russia ; CEITEC, Masaryk University , Brno , Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput sequencing has the power to reveal the nature of adaptive immunity as represented by the full complexity of T-cell receptor (TCR) and antibody (IG) repertoires, but is at present severely compromised by the quantitative bias, bottlenecks, and accumulated errors that inevitably occur in the course of library preparation and sequencing. Here we report an optimized protocol for the unbiased preparation of TCR and IG cDNA libraries for high-throughput sequencing, starting from thousands or millions of live cells in an investigated sample. Critical points to control are revealed, along with tips that allow researchers to minimize quantitative bias, accumulated errors, and cross-sample contamination at each stage, and to enhance the subsequent bioinformatic analysis. The protocol is simple, reliable, and can be performed in 1-2 days.

Indexed as

BCR repertoirescDNA librariesIG repertoiresMiTCRNGS applicationsT-cell receptorT-cell receptor repertoireTCR repertoires

Identifiers

PMID24391640
PMCPMC3870325

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.