Evidence map›Paper›PMID 40112175›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Genome-Wide Silencer Screening Reveals Key Silencer Modulating Reprogramming Efficiency in Mouse Induced Pluripotent Stem Cells.

Xiusheng Zhu, Lei Huang, Guoli Li, Biao Deng, Xiaoxiao Wang, Hu Yang, Yuanyuan Zhang, Qiuhan Wen, Chao Wang, Jingshu Zhang and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. aBIOTECH · 2025
    Review
  5. Article
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

13 authors.

Xiusheng ZhuShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China.
Lei HuangShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China.
Guoli LiShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China.
Biao DengShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China.
Xiaoxiao WangShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China.
Hu YangShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China.
Yuanyuan ZhangShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China.
Qiuhan WenShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China.
Chao WangShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China.
Jingshu ZhangShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China.
Yunxiang ZhaoGuangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, College of Animal Science and Technology, Guangxi University, Nanning, 530004, China.
Kui LiShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China.
Yuwen LiuShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China.ORCID https://orcid.org/0009-0001-0470-2355

Funding

Biological Breeding-National Science and Technology Major Project 2023ZD04074China National Key R&D Program during the 14th Five-year Plan Period 2021YFF1200503National Natural Science Foundation of China 32070595Outstanding Talents Training Fund in ShenzhenScience and Technology Program of Shenzhen CJGJZD20210408092402006
6 · The paper itself

Abstract

The majority of the mouse genome is composed of non-coding regions, which harbor numerous regulatory sequences essential for gene regulation. While extensive research focuses on enhancers that activate gene expression, the role of silencers that repress gene expression remains less explored. In this study, the first genome-wide identification of silencers in the mouse genome is conducted. In mouse embryonic fibroblasts (MEFs) and embryonic stem cells (mESCs), 89 596 and 115 165 silencers are identified, respectively. These silencers are ubiquitously distributed across the genome and are predominantly associated with low-expression genes. Additionally, these silencers are mainly cell-specific and function by binding to repressive transcription factors (TFs). Further, these silencers are notably enriched with the histone modification H3K9me3. It is observed that the transformation between dual-function silencers and enhancers is correlated with intracellular transcription factor concentrations, accompanied by changes in epigenetic modifications. In terms of biological effects, we have identified silencers that can enhance the induction efficiency of MEFs and influence the pluripotency of mESCs. Collectively, this work offers the first comprehensive silencer landscape in the mouse genome and provides strong evidence for the role of silencers in the induction of induced pluripotent stem cells (iPSCs).

Indexed as

Cellular ReprogrammingGene SilencingInduced Pluripotent Stem CellsAnimalsEpigenesis, GeneticFibroblastsGenomeMiceTranscription FactorsTranscription Factorscis‐regulatory elementshigh‐throughputiPSCssilencerSs‐STARR‐seq

Identifiers

PMID40112175
PMCPMC12079485

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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.