Evidence map›Paper›PMID 36830988›Full record

ArticleBiomedicines2023

Holistic View on the Structure of Immune Response: Petri Net Model.

Sonja Scharf, Jörg Ackermann, Leonie Bender, Patrick Wurzel, Hendrik Schäfer, Martin-Leo Hansmann, Ina Koch

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2023. 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
2.0field-weighted citation impact, top 14% 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, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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

7 authors at 1 institution in 1 country.

Sonja ScharfMolecular Bioinformatics, Institute of Computer Science, Goethe University Frankfurt, Robert-Mayer Str. 11-15, 60325 Frankfurt am Main, Germany.ORCID 0000-0002-0300-7027
Jörg AckermannMolecular Bioinformatics, Institute of Computer Science, Goethe University Frankfurt, Robert-Mayer Str. 11-15, 60325 Frankfurt am Main, Germany.ORCID 0000-0002-9942-0958
Leonie BenderMolecular Bioinformatics, Institute of Computer Science, Goethe University Frankfurt, Robert-Mayer Str. 11-15, 60325 Frankfurt am Main, Germany.
Patrick WurzelMolecular Bioinformatics, Institute of Computer Science, Goethe University Frankfurt, Robert-Mayer Str. 11-15, 60325 Frankfurt am Main, Germany.ORCID 0000-0002-2366-9124
Hendrik SchäferInstitute of General Pharmacology and Toxicology, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany.
Martin-Leo HansmannFrankfurt Institute for Advanced Studies, Ruth-Moufang-Str. 1, 60438 Frankfurt am Main, Germany.
Ina KochMolecular Bioinformatics, Institute of Computer Science, Goethe University Frankfurt, Robert-Mayer Str. 11-15, 60325 Frankfurt am Main, Germany.ORCID 0000-0002-3621-003X
Goethe University Frankfurt · DE

Funding

Deutsche Forschungsgemeinschaft 3212070002/TP2German Federal Ministry for Education and Research 031LO207
6 · The paper itself

Abstract

The simulation of immune response is a challenging task because quantitative data are scarce. Quantitative theoretical models either focus on specific cell-cell interactions or have to make assumptions about parameters. The broad variation of, e.g., the dimensions and abundance between lymph nodes as well as between individual patients hampers conclusive quantitative modeling. No theoretical model has been established representing a consensus on the set of major cellular processes involved in the immune response. In this paper, we apply the Petri net formalism to construct a semi-quantitative mathematical model of the lymph nodes. The model covers the major cellular processes of immune response and fulfills the formal requirements of Petri net models. The intention is to develop a model taking into account the viewpoints of experienced pathologists and computer scientists in the field of systems biology. In order to verify formal requirements, we discuss invariant properties and apply the asynchronous firing rule of a place/transition net. Twenty-five transition invariants cover the model, and each is assigned to a functional mode of the immune response. In simulations, the Petri net model describes the dynamic modes of the immune response, its adaption to antigens, and its loss of memory.

Indexed as

antigenB-cell differentiationinvariantlymph nodePetri netsimulation

Identifiers

PMID36830988
PMCPMC9953182
OpenAlexW4319298145

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.