Evidence map›Paper›PMID 39639033›Full record

ArticleNPJ systems biology and applications2024

A system-level model reveals that transcriptional stochasticity is required for hematopoietic stem cell differentiation.

Joel Herrera, Antonio Bensussen, Mónica L García-Gómez, Adriana Garay-Arroyo, Elena R Álvarez-Buylla

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Joel HerreraInstituto de Ecología, Universidad Nacional Autónoma de México, Ciudad de México, México.
Antonio BensussenDepartamento de Control Automático, Cinvestav-IPN, Ciudad de México, México.
Mónica L García-GómezTheoretical Biology, Institute of Biodynamics and Biocomplexity; Experimental and Computational Plant Development, Institute of Environmental Biology, Department of Biology, Utrecht University, Utrecht, Netherlands.
Adriana Garay-ArroyoInstituto de Ecología, Universidad Nacional Autónoma de México, Ciudad de México, México.
Elena R Álvarez-BuyllaInstituto de Ecología, Universidad Nacional Autónoma de México, Ciudad de México, México. eabuylla@gmail.com.ORCID 0000-0002-7938-6473

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

HSCs differentiation has been difficult to study experimentally due to the high number of components and interactions involved, as well as the impact of diverse physiological conditions. From a 200-node network, that was grounded on experimental data, we derived a 21-node regulatory network by collapsing linear pathways and retaining the functional feedback loops. This regulatory network core integrates key nodes and interactions underlying HSCs differentiation, including transcription factors, metabolic, and redox signaling pathways. We used Boolean, continuous, and stochastic dynamic models to simulate the hypoxic conditions of the HSCs niche, as well as the patterns and temporal sequences of HSCs transitions and differentiation. Our findings indicate that HSCs differentiation is a plastic process in which cell fates can transdifferentiate among themselves. Additionally, we found that cell heterogeneity is fundamental for HSCs differentiation. Lastly, we found that oxygen activates ROS production, inhibiting quiescence and promoting growth and differentiation pathways of HSCs.

Indexed as

Cell DifferentiationGene Regulatory NetworksHematopoietic Stem CellsAnimalsHumansModels, BiologicalReactive Oxygen SpeciesSignal TransductionStochastic ProcessesSystems BiologyTranscription FactorsReactive Oxygen SpeciesTranscription Factors

Identifiers

PMID39639033
PMCPMC11621455

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.