Evidence map›Paper›PMID 42118810›Full record

ArticlePLoS computational biology2026

The differentiation of myeloid progenitors is effected by cascading waves of coordinated gene expression that remodel cellular physiology in a characteristic sequence.

Andrea Repele, Joanna Handzlik, Nimasha Samarawickrama, Trevor Long, Sunil Nooti, Veena Potluri, Yen Lee Loh, Manu

Abstract read
In one paragraph

Article in PLoS computational biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Andrea RepeleDepartment of Biology, University of North Dakota, Grand Forks, North Dakota, United States of America.
Joanna HandzlikDepartment of Biology, University of North Dakota, Grand Forks, North Dakota, United States of America.
Nimasha SamarawickramaDepartment of Physics, University of North Dakota, Grand Forks, North Dakota, United States of America.
Trevor LongDepartment of Biology, University of North Dakota, Grand Forks, North Dakota, United States of America.
Sunil NootiDepartment of Biology, University of North Dakota, Grand Forks, North Dakota, United States of America.
Veena PotluriPathology, Altru Health System, Grand Forks, North Dakota, United States of America.
Yen Lee LohDepartment of Physics, University of North Dakota, Grand Forks, North Dakota, United States of America.
ManuDepartment of Biology, University of North Dakota, Grand Forks, North Dakota, United States of America.ORCID https://orcid.org/0000-0001-7677-7228

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The differentiation of hematopoietic progenitors into specialized types requires the transmittal of information from a few external or internal regulators to the thousands of genes that produce a cell type's characteristic phenotypes. While the main signaling pathways, transcription factors, and the genes eliciting the terminal phenotypes are known, how information flows from a few regulators to thousands of genes to change the state of the cell remains to be fleshed out. To profile this information transfer process, we sampled the differentiation of the PUER myeloid cell line into macrophages and neutrophils at 27 time points over seven days. There is extensive transient regulation; the number of transcripts modulated in time is twice the number differentially expressed between endpoints. Differentiation is marked by two sharp transitions, at ∼8h and ∼80h, when transcriptomic state changes suddenly. We utilized non-negative matrix factorization to identify behaviors, characteristic temporal patterns of gene expression, and to classify transcripts by behavior. Only 10 distinct behaviors are sufficient to recapitulate the expression of ∼36,000 transcripts with high fidelity. Gene expression in most of the behaviors occurs in pulses of varying initiation times and durations. This implies that information transfer during differentiation occurs in cascading waves of gene expression culminating in the permanent turning on of certain genes after ∼80h. Each behavior is enriched in specific biological processes, so that physiological remodeling proceeds in a characteristic order-signal transduction, translation and mRNA processing, metabolism, and, ultimately, myeloid phenotypic processes. The sharp transition at 8h corresponds to the completion of transcriptional and translational remodeling and the initiation of metabolic remodeling; the one at 80h corresponds to the elicitation of myeloid phenotypes. Our analysis shows that differentiation relies upon a series of transient, rapid, and complex gene regulatory events and highlights the importance of profiling it at a high temporal resolution.

Indexed as

Cell DifferentiationMyeloid Progenitor CellsAnimalsCell LineComputational BiologyGene Expression ProfilingMacrophagesMiceNeutrophilsSignal TransductionTranscriptome

Identifiers

PMID42118810
PMCPMC13189416

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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.