Evidence map›Paper›PMID 39820458›Full record

ArticleNature communications2025

Uncovering the whole genome silencers of human cells via Ss-STARR-seq.

Xiusheng Zhu, Lei Huang, Chao Wang, Guoli Li, Biao Deng, Dashuai Kong, Xiaoxiao Wang, Rongrong Chang, Yi Gu, Qiuhan Wen and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Quantifying the impact of genetic mutations on enhancer dynamics.bioRxiv : the preprint server for biology · 2025
    Article
  6. Review
  7. aBIOTECH · 2025
    Review
  8. Review
  9. Article
  10. Review
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 Zhu *Shenzhen 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, China. zhuxiusheng@caas.cn.ORCID http://orcid.org/0000-0002-2333-2046
Lei Huang *Shenzhen 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, China.
Chao Wang *Shenzhen 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, China.
Guoli Li *Shenzhen 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, China.
Biao Deng *Shenzhen 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, China.
Dashuai Kong *Shenzhen 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, 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, China.
Rongrong ChangShenzhen 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, China.
Yi GuShenzhen 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, 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, China.
Siyuan KongShenzhen 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, 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, China. liuyuwen@caas.cn.ORCID http://orcid.org/0009-0001-0470-2355
Yubo 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, China. ribon_001@163.com.ORCID http://orcid.org/0000-0002-4121-8853

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32070595National Natural Science Foundation of China (National Science Foundation of China) 32202653
6 · The paper itself

Abstract

Silencers, the yin to enhancers' yang, play a pivotal role in fine-tuning gene expression throughout the genome. However, despite their recognized importance, comprehensive identification of these regulatory elements in the genome is still in its early stages. We developed a method called Ss-STARR-seq to directly determine the activity of silencers in the whole genome. In this study, we applied Ss-STARR-seq to human cell lines K562, LNCaP, and 293 T, and identified 134,171, 137,753, and 125,307 silencers on a genome-wide scale, respectively, these silencers function in various cells in a cell-specific manner. Silencers exhibited a substantial enrichment of transcriptional-inhibitory motifs, including REST, and demonstrated overlap with the binding sites of repressor transcription factors within the endogenous environment. Interestingly, H3K27me3 did not reflect silencer activity but facilitated the silencer's inhibitory role on gene expression. Additionally, the silencer did not have any significant histone markers at the genome-wide level. Our findings unveil that aspect-silencers not only transition into enhancers throughout diverse cell lines but also achieve functional conversion with insulators. Regarding to biological effects, knockout experiments underscored the functional redundancy and specificity of silencers in regulating gene expression and cell proliferation. In summary, this study pioneers the elucidation of the genome-wide silencer landscape in human cells, delineates their global regulatory features, and identifies specific silencers influencing cancer cell proliferation.

Indexed as

Gene SilencingGenome, HumanSilencer Elements, TranscriptionalBinding SitesCell Line, TumorEnhancer Elements, GeneticHEK293 CellsHistonesHumansK562 CellsHistones

Identifiers

PMID39820458
PMCPMC11739512

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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.