Evidence map›Paper›PMID 36303793›Full record

ArticleFrontiers in bioinformatics2021

Cyton2: A Model of Immune Cell Population Dynamics That Includes Familial Instructional Inheritance.

HoChan Cheon, Andrey Kan, Giulio Prevedello, Simone C Oostindie, Simon J Dovedi, Edwin D Hawkins, Julia M Marchingo, Susanne Heinzel, Ken R Duffy, Philip D Hodgkin

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Functional immune profiling reveals CD4Immunology and cell biology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. A mean-field description for the expansion kinetics of activated T cell populations.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  8. Modeling T Cell Fate.Annual review of immunology · 2023
    Review
  9. Article
  10. 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

10 authors at 5 institutions in 3 countries.

HoChan CheonHamilton Institute, Maynooth University, Maynooth, Ireland.
Andrey KanImmunology Division, the Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Giulio PrevedelloHamilton Institute, Maynooth University, Maynooth, Ireland.
Simone C OostindieImmunology Division, the Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Simon J DovediOncology R&D, AstraZeneca, Cambridge, United Kingdom.
Edwin D HawkinsDepartment of Medical Biology, the University of Melbourne, Parkville, VIC, Australia.
Julia M MarchingoCell Signalling and Immunology Division, School of Life Sciences, University of Dundee, Dundee, United Kingdom.
Susanne HeinzelImmunology Division, the Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Ken R DuffyHamilton Institute, Maynooth University, Maynooth, Ireland.
Philip D HodgkinImmunology Division, the Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
National University of Ireland, Maynooth · IEUniversity of Melbourne · AUWalter and Eliza Hall Institute of Medical Research · AUAstraZeneca (United Kingdom) · GBUniversity of Dundee · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lymphocytes are the central actors in adaptive immune responses. When challenged with antigen, a small number of B and T cells have a cognate receptor capable of recognising and responding to the insult. These cells proliferate, building an exponentially growing, differentiating clone army to fight off the threat, before ceasing to divide and dying over a period of weeks, leaving in their wake memory cells that are primed to rapidly respond to any repeated infection. Due to the non-linearity of lymphocyte population dynamics, mathematical models are needed to interrogate data from experimental studies. Due to lack of evidence to the contrary and appealing to arguments based on Occam's Razor, in these models newly born progeny are typically assumed to behave independently of their predecessors. Recent experimental studies, however, challenge that assumption, making clear that there is substantial inheritance of timed fate changes from each cell by its offspring, calling for a revision to the existing mathematical modelling paradigms used for information extraction. By assessing long-term live-cell imaging of stimulated murine B and T cells

Indexed as

familial correlationsimmune responsemathematical modelpopulation dynamicsproliferation

Identifiers

PMID36303793
PMCPMC9581048
OpenAlexW3211054697

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.