Evidence map›Paper›PMID 42414293›Full record

ArticleNature communications2026

Delicate inhibition of NFκB/RELA circuitry facilitates efficient transition towards ground-state pluripotency in human.

Luqin Wang, Lizhan Xiao, Gaoyang Zou, Huiping Mao, Shihao Zhang, Qiusheng Yang, Chunkou Yin, Jiani Wan, Manish Kumar, Haokaifeng Wu and 11 more

Abstract read
In one paragraph

Article in Nature communications, 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

21 authors.

Luqin Wang *China-New Zealand Belt and Road Joint Laboratory on Biomedicine and Health, Institute of Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China. wang_luqin@gibh.ac.cn.ORCID http://orcid.org/0009-0000-8071-0093
Lizhan Xiao *China-New Zealand Belt and Road Joint Laboratory on Biomedicine and Health, Institute of Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
Gaoyang Zou *Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, China.
Huiping Mao *China-New Zealand Belt and Road Joint Laboratory on Biomedicine and Health, Institute of Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
Shihao ZhangChina-New Zealand Belt and Road Joint Laboratory on Biomedicine and Health, Institute of Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.ORCID http://orcid.org/0009-0003-5919-8437
Qiusheng YangChina-New Zealand Belt and Road Joint Laboratory on Biomedicine and Health, Institute of Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
Chunkou YinChina-New Zealand Belt and Road Joint Laboratory on Biomedicine and Health, Institute of Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
Jiani WanChina-New Zealand Belt and Road Joint Laboratory on Biomedicine and Health, Institute of Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
Manish KumarChina-New Zealand Belt and Road Joint Laboratory on Biomedicine and Health, Institute of Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
Haokaifeng WuCentre for Regenerative Medicine and Health, Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences, Hong Kong, SAR, P. R. China.ORCID http://orcid.org/0000-0001-8912-1199
Haoxian WangCenter for Cell lineage Technology and Engineering, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
Xiaoli ZhangChina-New Zealand Belt and Road Joint Laboratory on Biomedicine and Health, Institute of Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
Lihua ZengChina-New Zealand Belt and Road Joint Laboratory on Biomedicine and Health, Institute of Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
Chunhua ZhouChina-New Zealand Belt and Road Joint Laboratory on Biomedicine and Health, Institute of Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
Shengyong YuChina-New Zealand Belt and Road Joint Laboratory on Biomedicine and Health, Institute of Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
Yi LiChina-New Zealand Belt and Road Joint Laboratory on Biomedicine and Health, Institute of Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
Lingling ZhengSchool of Agriculture and Biotechnology, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China.ORCID http://orcid.org/0000-0002-7152-1095
Yuliang LiuChengdu Research Base of Giant Panda Breeding, Sichuan Province, Chengdu, China.
Baojian LiaoThe Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, School of basic Medical Sciences, Guangzhou, China. liaobaojian@gzhmu.edu.cn.ORCID http://orcid.org/0000-0003-0229-7234
Zhen ZhangChina-New Zealand Belt and Road Joint Laboratory on Biomedicine and Health, Institute of Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China. zhang_zhen@gibh.ac.cn.ORCID http://orcid.org/0000-0002-8507-496X
Jing LiuChina-New Zealand Belt and Road Joint Laboratory on Biomedicine and Health, Institute of Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China. liu_jing@gibh.ac.cn.ORCID http://orcid.org/0000-0003-1600-7744

Funding

China Postdoctoral Science Foundation 2025M782813China Postdoctoral Science Foundation GZC20251877National Natural Science Foundation of China (National Science Foundation of China) 32370791
6 · The paper itself

Abstract

Rebuilding human naïve pluripotency from primed stem cells is essential for generating pre-implantation epiblast-like cells, a key source for regenerative medicine. Here we present a defined, feeder-free protocol that efficiently converts primed human pluripotent stem cells (hPSCs) to a naïve-like state within 12 days. Integrated ATAC-seq, RNA-seq and miRNA-seq analyses reveal a rapid chromatin rewiring marked by increased accessibility at OCT/KLF motifs, closure at ZIC/RFX/NFκB sites, upregulation of miR-372/373 and miR-182/183, and downregulation of miR-302 and miR-363/106 clusters. Functional assays demonstrate that the inflammatory transcription factor NFκB/RELA blocks naïve induction by activating peri-implantation barrier genes, including IKBKE and VEGFR1. Conversely, enforced miR-372/373 expression accelerates conversion by directly targeting RELA. These data delineate an NFκB/RELA axis that orchestrates the epigenetic switch to human naïve pluripotency, offering a tractable framework for studying early human development and advancing cell-based therapies.

Indexed as

NF-kappa BPluripotent Stem CellsTranscription Factor RelACell DifferentiationChromatinEpigenesis, GeneticHumansMicroRNAsChromatinMicroRNAsNF-kappa BRELA protein, humanTranscription Factor RelA

Identifiers

PMID42414293
PMCPMC13478516

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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.