Evidence map›Paper›PMID 28912776›Full record

ArticleFrontiers in immunology2017

Human CD5

Maho Nagasawa, Kristine Germar, Bianca Blom, Hergen Spits

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

31 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Frontiers in immunology · 2025
    Article
  6. Article
  7. Review
  8. ILC3: a case of conflicted identity.Frontiers in immunology · 2023
    Review
  9. Review
  10. Heterogeneity of type 2 innate lymphoid cells.Nature reviews. Immunology · 2022
    Review
  11. Engineering complexity in human tissue models of cancer.Advanced drug delivery reviews · 2022
    Review
  12. Innate lymphoid cells in colorectal cancer.Scandinavian journal of immunology · 2022
    Review
  13. Article
  14. ILC Differentiation in the Thymus.Advances in experimental medicine and biology · 2022
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
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

4 authors at 2 institutions in 1 country.

Maho NagasawaDepartment of Experimental Immunology, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands.
Kristine GermarDepartment of Clinical Immunology and Rheumatology Center, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands.
Bianca BlomDepartment of Experimental Immunology, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands.
Hergen SpitsDepartment of Experimental Immunology, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands.
Academic Medical Center · NLUniversity of Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Innate lymphoid cells (ILCs) have emerged as a key cell type involved in surveillance and maintenance of mucosal tissues. Mouse ILCs rely on the transcriptional regulator Inhibitor of DNA-binding protein 2 (Id2) for their development. Here, we show that Id2 also drives development of human ILC because forced expression of Id2 in human thymic progenitors blocked T cell commitment, upregulated CD161 and promyelocytic leukemia zinc finger (PLZF), and maintained CD127 expression, markers that are characteristic for human ILCs. Surprisingly CD5 was also expressed on these

Indexed as

CD5CD5+ ILCdevelopmenthumanId2innate lymphoid cells

Identifiers

PMID28912776
PMCPMC5583608
OpenAlexW2753467385

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.