Evidence map›Paper›PMID 21336259›Full record

ArticleThe EMBO journal2011

The gata1/pu.1 lineage fate paradigm varies between blood populations and is modulated by tif1γ.

Rui Monteiro, Claire Pouget, Roger Patient

Open access · bronzeAbstract read
In one paragraph

Article in The EMBO journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

48 citing papers in PubMed, 92 citations in OpenAlex.

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  15. Causal Gene Regulatory Network Modeling and Genomics: Second-Generation Challenges.Journal of computational biology : a journal of computational molecular cell biology · 2019
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  17. The zebrafish: A fintastic model for hematopoietic development and disease.Wiley interdisciplinary reviews. Developmental biology · 2018
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Rui MonteiroMolecular Haematology Unit, Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, Oxford University, Oxford, UK.
Claire Pouget
Roger Patient
University of Oxford · GB

Funding

Medical Research Council
6 · The paper itself

Abstract

Lineage fate decisions underpin much of development as well as tissue homeostasis in the adult. A mechanistic paradigm for such decisions is the erythroid versus myeloid fate decision controlled by cross-antagonism between gata1 and pu.1 transcription factors. In this study, we have systematically tested this paradigm in blood-producing populations in zebrafish embryos, including the haematopoietic stem cells (HSCs), and found that it takes a different form in each population. In particular, gata1 activity varies from autostimulation to autorepression. In addition, we have added a third member to this regulatory kernel, tif1γ (transcription intermediate factor-1γ). We show that tif1γ modulates the erythroid versus myeloid fate outcomes from HSCs by differentially controlling the levels of gata1 and pu.1. By contrast, tif1γ positively regulates both gata1 and pu.1 in primitive erythroid and prodefinitive erythromyeloid progenitors. We therefore conclude that the gata1/pu.1 paradigm for lineage decisions takes different forms in different cellular contexts and is modulated by tif1γ.

Indexed as

Cell DifferentiationGene Expression Regulation, DevelopmentalZebrafishAnimalsEmbryo, NonmammalianGATA1 Transcription FactorHematopoietic Stem CellsNuclear ProteinsProto-Oncogene ProteinsProto-Oncogene Protein Spi-1Trans-ActivatorsTranscription FactorsZebrafish Proteinsgata1a protein, zebrafishGATA1 Transcription FactorNuclear ProteinsProto-Oncogene ProteinsProto-Oncogene Protein Spi-1Trans-Activatorstranscriptional intermediary factor 1Transcription FactorsZebrafish Proteins

Identifiers

PMID21336259
PMCPMC3061038
OpenAlexW1590938212

What OpenQuestion holds

Textmetadata
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.