Evidence map›Paper›PMID 40601157›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Generating Human Blastoids Following Transient Naïve Resetting of Primed Pluripotent Stem Cells.

Maria Carolina Zimara, Carlos A Pinzon-Arteaga, Kun Liu, Toshihiko Ezashi, Seiya Oura, Shijian Lyu, Menaka Sanghvi, Ye Yuan, Jun Wu

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Article in Methods in molecular biology (Clifton, N.J.), 2026. 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

9 authors.

Maria Carolina ZimaraColorado Center for Reproductive Medicine, Lone Tree, CO, USA.
Carlos A Pinzon-ArteagaDepartment of Molecular Biology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Kun LiuColorado Center for Reproductive Medicine, Lone Tree, CO, USA.
Toshihiko EzashiColorado Center for Reproductive Medicine, Lone Tree, CO, USA.
Seiya OuraDepartment of Molecular Biology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Shijian LyuDepartment of Molecular Biology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Menaka SanghviDepartment of Molecular Biology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Ye YuanColorado Center for Reproductive Medicine, Lone Tree, CO, USA. YYuan@ccrmivf.com.
Jun WuDepartment of Molecular Biology, University of Texas Southwestern Medical Center, Dallas, TX, USA. Jun2.Wu@utsouthwestern.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human pluripotent stem cells (hPSCs) exist in at least two distinct states of pluripotency: naïve and primed. While naïve hPSCs possess the unique ability to generate blastocyst-like structures, they are often genetically and epigenetically unstable, which compromises the quality and developmental potential of naïve hPSC-derived blastoids. This protocol presents an optimized human blastoid protocol through a transient resetting method that converts primed hPSCs into a naïve-like state, addressing the stability issues associated with long-term naïve hPSC maintenance. The approach is compatible with both feeder-free and feeder-based culture systems and demonstrates high efficiency in generating human blastoids directly from primed hPSCs. This advancement provides a more robust and reliable strategy for blastoid formation, circumventing the limitations of suboptimal naïve hPSC cultures.

Indexed as

Cell Culture TechniquesPluripotent Stem CellsCell DifferentiationCells, CulturedHumansEmbryonic stem cellsHuman blastoidsNaïve pluripotent stem cellsPrimed pluripotent stem cells

Identifiers

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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.