Evidence map›Paper›PMID 24793455›Full record

ArticleNature methods2014

Towards error-free profiling of immune repertoires.

Mikhail Shugay, Olga V Britanova, Ekaterina M Merzlyak, Maria A Turchaninova, Ilgar Z Mamedov, Timur R Tuganbaev, Dmitriy A Bolotin, Dmitry B Staroverov, Ekaterina V Putintseva, Karla Plevova and 6 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature methods, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 284 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
284citing papers in PubMed, 1 pooled it
–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

284 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Resolving SARS-CoV-2 CD4Cell reports. Medicine · 2022
    Pooled it
  2. Trial
  3. mAbs · 2026
    Article
  4. Article
  5. Review
  6. T Cell Thoughts.Immunological reviews · 2026
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. General and individualized changes in T cell immunity during aging.Journal of immunology (Baltimore, Md. : 1950) · 2025
    Review
  20. Article

224 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Mikhail Shugay1] Shemiakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science, Moscow, Russia. [2] Pirogov Russian National Research Medical University, Moscow, Russia. [3].ORCID 0000000178267942
Olga V Britanova1] Shemiakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science, Moscow, Russia. [2].
Ekaterina M Merzlyak1] Shemiakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science, Moscow, Russia. [2].
Maria A Turchaninova1] Shemiakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science, Moscow, Russia. [2].
Ilgar Z Mamedov1] Shemiakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science, Moscow, Russia. [2] Central European Institute of Technology, Masaryk University, Brno, Czech Republic.
Timur R TuganbaevShemiakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science, Moscow, Russia.
Dmitriy A BolotinShemiakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science, Moscow, Russia.
Dmitry B StaroverovShemiakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science, Moscow, Russia.
Ekaterina V PutintsevaShemiakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science, Moscow, Russia.
Karla PlevovaCentral European Institute of Technology, Masaryk University, Brno, Czech Republic.
Carsten LinnemannDivision of Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Dmitriy Shagin1] Shemiakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science, Moscow, Russia. [2] Pirogov Russian National Research Medical University, Moscow, Russia.
Sarka PospisilovaCentral European Institute of Technology, Masaryk University, Brno, Czech Republic.
Sergey Lukyanov1] Shemiakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science, Moscow, Russia. [2] Pirogov Russian National Research Medical University, Moscow, Russia.
Ton N SchumacherDivision of Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Dmitriy M Chudakov1] Shemiakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science, Moscow, Russia. [2] Pirogov Russian National Research Medical University, Moscow, Russia. [3] Central European Institute of Technology, Masaryk University, Brno, Czech Republic.ORCID 000000030430790X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep profiling of antibody and T cell-receptor repertoires by means of high-throughput sequencing has become an attractive approach for adaptive immunity studies, but its power is substantially compromised by the accumulation of PCR and sequencing errors. Here we report MIGEC (molecular identifier groups-based error correction), a strategy for high-throughput sequencing data analysis. MIGEC allows for nearly absolute error correction while fully preserving the natural diversity of complex immune repertoires.

Indexed as

Research DesignDNA FingerprintingHigh-Throughput Nucleotide SequencingPolymerase Chain ReactionReceptors, Antigen, T-CellReceptors, Antigen, T-Cell

Identifiers

PMID24793455

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.