Evidence map›Paper›PMID 23200626›Full record

ReviewTrends in immunology2013

The dynamic lives of T cells: new approaches and themes.

Yvonne J Yamanaka, Todd M Gierahn, J Christopher Love

Abstract readReview
In one paragraph

Review in Trends in immunology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. A new toolbox for assessing single cells.Annual review of chemical and biomolecular engineering · 2014
    Review
  8. Review
  9. 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

3 authors.

Yvonne J YamanakaDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Todd M Gierahn
J Christopher Love

Funding

LC: HIV Vaccine Trials NetworkUM1AI068618 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Margaret Juliana McElrath · 2011 to 2026
$483.6M
Systems investigation of vaccine responses in B cell depleted autoimmune patientsU19AI089992 · NIAID · YALE UNIVERSITY · PI David A. Hafler, RUTH R MONTGOMERY · 2010 to 2026
$50.4M
TCR recognition of MHC class II peptide compexes in multiple sclerosisP01AI045757 · NIAID · DANA-FARBER CANCER INSTITUTE · PI KUCHROO, VIJAY K., LOVE, JOHN CHRISTOPHER · 1999 to 2017
$22.8M
Impact of MHC Genotype on Ex Vivo T cell Function in Type 1 DiabetesDP3DK097681 · NIDDK · DANA-FARBER CANCER INST · PI LOVE, JOHN CHRISTOPHER, WUCHERPFENNIG, KAI W · 2012 to 2012
$3.9M
NIAID NIH HHS 4U19AI089992NIAID NIH HHS 5P01AI045757NIAID NIH HHS P01 AI045757NIAID NIH HHS U19 AI089992NIAID NIH HHS UM1 AI068618NIAID NIH HHS UMI AI068618NIDDK NIH HHS DP3 DK097681
6 · The paper itself

Abstract

Activated T cells have classically been thought to progress unidirectionally through discrete phenotypic states and differentiate into static lineages. It is increasingly evident, however, that T cells exhibit much more complex and flexible dynamic behaviors than initially appreciated, and that these behaviors influence the efficacy of T cell responses to immunological challenges. In this review, we discuss how new technologies for monitoring the dynamics of T cells are enhancing the resolution of the fine phenotypic and functional heterogeneity within populations of T cells and revealing how individual T cells transition among a continuum of states. Such insights into the dynamic properties of T cells should improve immune monitoring and inform strategies for therapeutic interventions.

Indexed as

Cell DifferentiationAnimalsFlow CytometryHumansImmunologic MemoryLymphocyte ActivationMiceMicroscopy, Fluorescence, MultiphotonPhenotypeT-Lymphocytes

Identifiers

PMID23200626
PMCPMC3565007

What OpenQuestion holds

Textmetadata
LicenceTDM
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.