Evidence map›Paper›PMID 25233372›Full record

ArticlePLoS computational biology2014

Spatial heterogeneity and peptide availability determine CTL killing efficiency in vivo.

Thea Hogan, Ulrich Kadolsky, Sim Tung, Benedict Seddon, Andrew Yates

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. How is the effectiveness of immune surveillance impacted by the spatial distribution of spreading infections?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015
    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

5 authors at 3 institutions in 3 countries.

Thea HoganImmune Cell Biology, MRC National Institute for Medical Research, Mill Hill, London, United Kingom.
Ulrich KadolskyDepartment of Systems and Computational Biology, Albert Einstein College of Medicine, New York, New York, United States of America.
Sim TungImmune Cell Biology, MRC National Institute for Medical Research, Mill Hill, London, United Kingom.
Benedict SeddonInstitute of Immunity and Transplantation, Division of Infection and Immunity, UCL, Royal Free Hospital, London, United Kingdom.
Andrew YatesDepartment of Systems and Computational Biology, Albert Einstein College of Medicine, New York, New York, United States of America; Department of Microbiology and Immunology, Albert Einstein College of Medicine, New York, New York, United States of America; Institute of Infection, Immunity & Inflammation, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, United Kingdom.
Albert Einstein College of Medicine · USNational Institute for Medical Research · TZUniversity College London · GB

Funding

Modeling the development, structure and regulation of T cell memoryR01AI093870 · NIAID · UNIVERSITY OF GLASGOW · PI YATES, ANDREW · 2011 to 2025
$5.9M
Systems biology analysis of in vivo impact of substance abuse on HIV infectionR01DA033788 · NIDA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI GOLDSTEIN, HARRIS · 2012 to 2016
$3.0M
Medical Research Council MC_PC_13055Medical Research Council MC_U117573801Medical Research Council U117573801NIAID NIH HHS R01 AI093870NIDA NIH HHS R01 DA033788
6 · The paper itself

Abstract

The rate at which a cytotoxic T lymphocyte (CTL) can survey for infected cells is a key ingredient of models of vertebrate immune responses to intracellular pathogens. Estimates have been obtained using in vivo cytotoxicity assays in which peptide-pulsed splenocytes are killed by CTL in the spleens of immunised mice. However the spleen is a heterogeneous environment and splenocytes comprise multiple cell types. Are some cell types intrinsically more susceptible to lysis than others? Quantitatively, what impacts are made by the spatial distribution of targets and effectors, and the level of peptide-MHC on the target cell surface? To address these questions we revisited the splenocyte killing assay, using CTL specific for an epitope of influenza virus. We found that at the cell population level T cell targets were killed more rapidly than B cells. Using modeling, quantitative imaging and in vitro killing assays we conclude that this difference in vivo likely reflects different migratory patterns of targets within the spleen and a heterogeneous distribution of CTL, with no detectable difference in the intrinsic susceptibilities of the two populations to lysis. Modeling of the stages involved in the detection and killing of peptide-pulsed targets in vitro revealed that peptide dose influenced the ability of CTL to form conjugates with targets but had no detectable effect on the probability that conjugation resulted in lysis, and that T cell targets took longer to lyse than B cells. We also infer that incomplete killing in vivo of cells pulsed with low doses of peptide may be due to a combination of heterogeneity in peptide uptake and the dissociation, but not internalisation, of peptide-MHC complexes. Our analyses demonstrate how population-averaged parameters in models of immune responses can be dissected to account for both spatial and cellular heterogeneity.

Indexed as

Models, ImmunologicalAnimalsB-LymphocytesCell DeathDisease Models, AnimalHumansInfluenza, HumanMiceMice, TransgenicPeptidesSpleenT-Lymphocytes, CytotoxicPeptides

Identifiers

PMID25233372
PMCPMC4168979
OpenAlexW1966459978

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.