Evidence map›Paper›PMID 29707204›Full record

ArticleF1000Research2018

Loss of Zbtb32 in NOD mice does not significantly alter T cell responses.

William D Coley, Yongge Zhao, Charles J Benck, Yi Liu, Chie Hotta-Iwamura, M Jubayer Rahman, Kristin V Tarbell

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in F1000Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

7 authors at 1 institution in 1 country.

William D Coley *Immune Tolerance Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda , MD, 20892, USA.
Yongge Zhao *Immune Tolerance Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda , MD, 20892, USA.ORCID 0000-0003-4466-2391
Charles J BenckImmune Tolerance Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda , MD, 20892, USA.
Yi LiuImmune Tolerance Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda , MD, 20892, USA.
Chie Hotta-IwamuraImmune Tolerance Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda , MD, 20892, USA.
M Jubayer RahmanImmune Tolerance Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda , MD, 20892, USA.
Kristin V TarbellImmune Tolerance Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda , MD, 20892, USA.ORCID 0000-0003-3738-379X
National Institutes of Health · US

Funding

Targeting antigen to dendritic cells in autoimmune diabetesZIADK075065 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI TARBELL, KRISTIN · 2012 to 2017
$3.2M
Intramural NIH HHS ZIA DK075065NIDDK NIH HHS ZIA DK075065
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AnimalsCD4-Positive T-LymphocytesCells, CulturedCRISPR-Cas SystemsCytokinesDendritic CellsDiabetes Mellitus, ExperimentalFemaleImmune ToleranceIncidenceLymphocyte ActivationMaleMiceMice, Inbred NODRepressor ProteinsCytokinesRepressor ProteinsRog protein, mouseCRISPRCRISPR/Cas9diabetesNODROGZbtb32

Identifiers

PMID29707204
PMCPMC5909056
OpenAlexW2793996301

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.