Evidence map›Paper›PMID 30894850›Full record

ReviewFrontiers in immunology2019

Fate of a Naive T Cell: A Stochastic Journey.

Luis de la Higuera, Martín López-García, Mario Castro, Niloufar Abourashchi, Grant Lythe, Carmen Molina-París

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

6 authors.

Luis de la HigueraDepartment of Applied Mathematics, School of Mathematics, University of Leeds, Leeds, United Kingdom.
Martín López-GarcíaDepartment of Applied Mathematics, School of Mathematics, University of Leeds, Leeds, United Kingdom.
Mario CastroDepartment of Applied Mathematics, School of Mathematics, University of Leeds, Leeds, United Kingdom.
Niloufar AbourashchiDepartment of Statistical Science, University College London, London, United Kingdom.
Grant LytheDepartment of Applied Mathematics, School of Mathematics, University of Leeds, Leeds, United Kingdom.
Carmen Molina-ParísDepartment of Applied Mathematics, School of Mathematics, University of Leeds, Leeds, United Kingdom.

Funding

Arthritis Research UK A25929Cancer Research UK C62155
6 · The paper itself

Abstract

The homeostasis of T cell populations depends on migration, division and death of individual cells (1). T cells migrate between spatial compartments (spleen, lymph nodes, lung, liver, etc.), where they may divide or differentiate, and eventually die (2). The kinetics of recirculation influences the speed at which local infections are detected and controlled (3). New experimental techniques have been developed to measure the lifespan of cells, and their migration dynamics; for example, fluorescence-activated cell sorting (4),

Indexed as

Models, BiologicalAlgorithmsAnimalsCell DifferentiationCell MovementCell ProliferationHumansT-Lymphocytesapoptosiscellular fatecontinuous-time Markov chaindivisionmigrationsingle cellstochastic modelT cell

Identifiers

PMID30894850
PMCPMC6415700

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.