Evidence map›Paper›PMID 30556901›Full record

ArticleImmunology2019

Correlation of cell-surface CD8 levels with function, phenotype and transcriptome of naive CD8 T cells.

Renu Balyan, Rupali Gund, Amanpreet Singh Chawla, Satyajeet P Khare, Saurabh J Pradhan, Sanket Rane, Sanjeev Galande, Jeannine Marie Durdik, Anna George, Vineeta Bal and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Immunology, 2019. 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
0.1field-weighted citation impact, top 52% 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, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. An expanded population of CD8Frontiers in cell and developmental biology · 2022
    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

11 authors at 4 institutions in 3 countries.

Renu BalyanNational Institute of Immunology, New Delhi, India.
Rupali GundNational Institute of Immunology, New Delhi, India.
Amanpreet Singh ChawlaNational Institute of Immunology, New Delhi, India.
Satyajeet P KhareIndian Institute of Science Education and Research, Pune, India.
Saurabh J PradhanIndian Institute of Science Education and Research, Pune, India.
Sanket RaneNational Institute of Immunology, New Delhi, India.
Sanjeev GalandeIndian Institute of Science Education and Research, Pune, India.
Jeannine Marie DurdikUniversity of Arkansas, Fayetteville, AR, USA.
Anna GeorgeNational Institute of Immunology, New Delhi, India.ORCID 0000-0001-9401-0944
Vineeta BalNational Institute of Immunology, New Delhi, India.
Satyajit RathNational Institute of Immunology, New Delhi, India.ORCID 0000-0002-7343-1173
National Institute of Immunology · INIndian Institute of Science Education and Research Pune · INNational University of Singapore · SGUniversity of Arkansas at Fayetteville · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have previously demonstrated co-receptor level-associated functional heterogeneity in apparently homogeneous naive peripheral CD4 T cells, dependent on MHC-mediated tonic signals. Maturation pathways can differ between naive CD4 and naive CD8 cells, so we tested whether the latter showed similar co-receptor level-associated functional heterogeneity. We report that, when either polyclonal and T-cell receptor (TCR)-transgenic monoclonal peripheral naive CD8 T cells from young mice were separated into CD8

Indexed as

TranscriptomeAdultAnimalsCD8 AntigensCD8-Positive T-LymphocytesCellular SenescenceFemaleHealthy VolunteersHumansMaleMiceMice, Inbred C57BLMice, TransgenicYoung AdultCD8 AntigensCD8 T cellscellular agingimmune aging phenotypeT-cell transcriptometonic signals

Identifiers

PMID30556901
PMCPMC6418459
OpenAlexW2904012114

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.