Evidence map›Paper›PMID 21374820›Full record

ArticleEMBO molecular medicine2011

Quantitative tracking of T cell clones after haematopoietic stem cell transplantation.

Ilgar Z Mamedov, Olga V Britanova, Dmitriy A Bolotin, Anna V Chkalina, Dmitriy B Staroverov, Ivan V Zvyagin, Alexey A Kotlobay, Maria A Turchaninova, Denis A Fedorenko, Andrew A Novik and 4 more

Open access · goldAbstract read
In one paragraph

Article in EMBO molecular medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

43 citing papers in PubMed, 67 citations in OpenAlex.

  1. T Cell Thoughts.Immunological reviews · 2026
    Review
  2. Article
  3. T-Cell Receptor Sequences Identify Combined Coxsackievirus-International journal of molecular sciences · 2024
    Article
  4. Targeted depletion of TRBV9Nature medicine · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. T Cell Receptor Profiling in Type 1 Diabetes.Current diabetes reports · 2017
    Review
  17. Article
  18. Article
  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

14 authors at 3 institutions in 1 country.

Ilgar Z MamedovShemiakin-Ovchinnikov Institute of Bioorganic Chemistry, RAS, Moscow, Russia.
Olga V Britanova
Dmitriy A Bolotin
Anna V Chkalina
Dmitriy B Staroverov
Ivan V Zvyagin
Alexey A Kotlobay
Maria A Turchaninova
Denis A Fedorenko
Andrew A Novik
George V Sharonov
Sergey Lukyanov
Dmitriy M Chudakov
Yuri B Lebedev
Institute of Bioorganic Chemistry · RUNational Medical and Surgical Center named after N.I. Pirogov · RULomonosov Moscow State University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autologous haematopoietic stem cell transplantation is highly efficient for the treatment of systemic autoimmune diseases, but its consequences for the immune system remain poorly understood. Here, we describe an optimized RNA-based technology for unbiased amplification of T cell receptor beta-chain libraries and use it to perform the first detailed, quantitative tracking of T cell clones during 10 months after transplantation. We show that multiple clones survive the procedure, contribute to the immune response to activated infections, and form a new skewed and stable T cell receptor repertoire.

Indexed as

Hematopoietic Stem Cell TransplantationAutoimmune DiseasesCell SurvivalClone CellsFollow-Up StudiesHematopoietic Stem CellsHumansReceptors, Antigen, T-Cell, alpha-betaT-LymphocytesTransplantation, AutologousReceptors, Antigen, T-Cell, alpha-beta

Identifiers

PMID21374820
PMCPMC3377069
OpenAlexW2127500306

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.