Evidence map›Paper›PMID 21461760›Full record

ArticleJournal of mathematical biology2012

Mathematical modelling of stem cell differentiation: the PU.1-GATA-1 interaction.

Campbell Duff, Kate Smith-Miles, Leo Lopes, Tianhai Tian

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Article in Journal of mathematical biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  7. Reprogramming cooperative monotone dynamical systems.Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control · 2018
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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

4 authors.

Campbell DuffSchool of Mathematical Sciences, Monash University, Melbourne, VIC, 3800, Australia.
Kate Smith-Miles
Leo Lopes
Tianhai Tian

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transcription factors PU.1 and GATA-1 are known to be important in the development of blood progenitor cells. Specifically they are thought to regulate the differentiation of progenitor cells into the granulocyte/macrophage lineage and the erythrocyte/megakaryocite lineage. While several mathematical models have been proposed to investigate the interaction between the transcription factors in recent years, there is still debate about the nature of the progenitor state in the dynamical system, and whether the existing models adequately capture new knowledge about the interactions gleaned from experimental data. Further, the models utilise different formalisms to represent the genetic regulation, and it appears that the resulting dynamical system depends upon which formalism is adopted. In this paper we analyse the four existing models, and propose an alternative model which is shown to demonstrate a rich variety of dynamical systems behaviours found across the existing models, including both bistability and tristability required for modelling the undifferentiated progenitors.

Indexed as

Cell DifferentiationModels, BiologicalGATA1 Transcription FactorGene Expression RegulationGranulocytesHematopoietic Stem CellsHumansMacrophagesProto-Oncogene ProteinsProto-Oncogene Protein Spi-1Trans-ActivatorsGATA1 Transcription FactorProto-Oncogene ProteinsProto-Oncogene Protein Spi-1Trans-Activators

Identifiers

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Registered trials

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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.