Evidence map›Paper›PMID 41270744›Full record

ArticleStem cell reports2025

Stem cell-based approach to identify regulatory TFs during mammalian cell differentiation.

Yingzhen Pei, Siyi Li, Görkem Garipler, Kenji Kamimoto, Esteban O Mazzoni

Abstract read
In one paragraph

Article in Stem cell reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

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

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

5 authors.

Yingzhen PeiDepartment of Cell Biology, New York University Grossman School of Medicine, New York, NY, USA; Department of Biology, New York University, New York, NY, USA.
Siyi LiDepartment of Cell Biology, New York University Grossman School of Medicine, New York, NY, USA.
Görkem GariplerDepartment of Biology, New York University, New York, NY, USA.
Kenji KamimotoResearch Institute for Microbial Diseases, Premium Research Institute for Human Metaverse Medicine (WPI-PRIMe), Osaka University, Osaka, Japan.
Esteban O MazzoniDepartment of Cell Biology, New York University Grossman School of Medicine, New York, NY, USA. Electronic address: esteban.mazzoni@nyulangone.org.

Funding

Uncovering the transcription factors that control human motor neuron cell fateF30HD117663 · NICHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Siyi Li · 2025 to 2026
$109k
NICHD NIH HHS F30 HD117663
6 · The paper itself

Abstract

Cell differentiation is regulated by transcription factors (TFs), but specific TFs needed for mammalian differentiation pathways are not fully understood. For example, during spinal motor neuron (MN) differentiation, 1,370 TFs are transcribed, yet only 55 have reported functional relevance. We developed a method combining pluripotent stem cell differentiation, single-cell transcriptomics, and a CRISPR-based TF loss-of-function screen and applied it to MN differentiation. The CRISPR screen identified 245 genes important for mouse MN differentiation, including 116 TFs. This screen uncovered important genes not showing differential transcription and identified a regulatory hub at the MN progenitor (pMN) stage. A secondary human screen of 69 selected candidates revealed a conservation between mouse pMN and human pMN and ventral pMN (vpMN) regulations. The validation of three hits required for efficient human MN differentiation supported the effectiveness of our approach. Collectively, our strategy offers a framework for identifying important TFs in various differentiation pathways.

Indexed as

Cell DifferentiationPluripotent Stem CellsTranscription FactorsAnimalsCRISPR-Cas SystemsHumansMiceMotor NeuronsSingle-Cell AnalysisTranscriptomeTranscription FactorsCRISPR screendevelopmentdifferentiationmotor neuronscRNA-seqspinal cordtranscription factorszinc finger

Identifiers

PMID41270744
PMCPMC12744843

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.