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Record W4412410357 · doi:10.1186/s13287-025-04487-z

A roadmap towards targeted differentiation of mouse trophoblast stem cells into cell types of the feto-maternal exchange surface

2025· article· en· W4412410357 on OpenAlexafffund
Noura Ballasy, Bethany N. Radford, Shuhiba Mohammad, Wendy Dean, Myriam Hemberger

Bibliographic record

VenueStem Cell Research & Therapy · 2025
Typearticle
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
FundersCanadian Institutes of Health ResearchNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsAlberta Children's Hospital Research InstituteMolly Towell Perinatal Research Foundation
KeywordsStem cellTrophoblastCell biologyBiologyCellular differentiationFetusPlacentaPregnancyGeneticsGene

Abstract

fetched live from OpenAlex

BACKGROUND: The characteristic constituents of the mature placenta are made up of highly specialised trophoblast cell types. Trophoblast stem cells (TSCs) possess the developmental plasticity to differentiate into all these mature placental cell types. However, TSCs are typically a heterogenous population with individual cells exhibiting varying degrees of stem cell marker expression. Moreover, standard differentiation protocols of mouse TSCs are based on a release from the stem cell state and result in a mixed population of various trophoblast cell types. This mix of differentiating cells is a particular impediment for functional investigations into the roles of specific trophoblast subtypes of the mouse placental labyrinth, i.e. the portion of the placenta that establishes the feto-maternal exchange unit. METHODS: Murine TSCs were used to establish culture protocols that enhance the stem cell state of mouse TSCs and that drive differentiation into specific labyrinth trophoblast cell types. TSCs were treated with a panel of 35 epigenetic inhibitors and with 12 selected small molecule compounds either alone or in combination, and across a wide range of doses. TSC stemness and differentiation was assessed by RT-qPCR to determine the relative expression of trophoblast cell type-specific marker genes, and by immunofluorescence staining to verify enrichment of the cell type(s) of interest. RESULTS: TSC markers CDX2 and SOX2 were robustly enriched upon treatment of mouse TSCs with the KDM1A inhibitor GSK-LSD1, indicative of an enhanced stem cell state. Treatment of differentiating TSCs with the LIMK2 inhibitor BMS-3 in conjunction with either the PPARG agonist rosiglitazone (Rosi) or with Tunicamycin and GSK-LSD1 promoted differentiation of labyrinth trophoblast cell types in general, at the expense of junctional zone trophoblast. Rosi in combination with the KDM1A1 inhibitor GSK-LSD1 or BMS-3 enriched for syncytiotrophoblast layer I cells and sinusoidal trophoblast giant cells, while high doses of Rosi resulted specifically in sinusoidal trophoblast giant cell differentiation. Rosi in combination with the protein synthesis inhibitor Tunicamycin enriched for syncytiotrophoblast layer I cells only. Activin A and the WNT agonist Chiron99021 resulted in predominant syncytiotrophoblast layer II differentiation. CONCLUSION: Collectively, we establish a roadmap of treatment regimens that promote the differentiation of mouse TSCs into specific trophoblast cell types of the feto-maternal exchange surface. These insights will enable refined biochemical and molecular assessment strategies on defined trophoblast cell types that govern reproductive outcome.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.520

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.313
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes2
Has abstractyes

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