Evidence map›Paper›PMID 40886325›Full record

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

RPS27L Enhances Myogenesis and Muscle Mass by Targeting IGF1 Through Liquid-Liquid Phase Separation.

Xiaoqin Liu, Yilong Yao, Junyu Yan, Mu Zeng, Xinhao Fan, Yijie Tang, Jiju Li, Yanwen Liu, Shanying Yan, Wei Wang and 8 more

Abstract read
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

18 authors.

Xiaoqin 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.
Yilong YaoShenzhen 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.
Junyu YanShenzhen 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.
Mu ZengShenzhen 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.
Xinhao FanShenzhen 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.
Yijie TangShenzhen 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.
Jiju 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.
Yanwen 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.
Shanying YanShenzhen 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.
Wei 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.
Lijuan ChenShenzhen 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.
Ruipu ChenShenzhen 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.
Yuxin 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.
Honor CalnanCollege of Environmental and Life Sciences, Murdoch University, Murdoch, WA, 6150, Australia.
Heng WangCollege of Animal Science, Shandong Provincial Key Laboratory for Livestock Germplasm Innovation & Utilization, Shandong Agricultural University, Taian, 271000, China.
Graham GardnerCollege of Environmental and Life Sciences, Murdoch University, Murdoch, WA, 6150, Australia.
Yalan 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.
Zhonglin TangShenzhen 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/0000-0002-4538-4349

Funding

Agricultural Science and Technology Innovation Program CAAS-ZDRW202406National Key Scientific Research Project 2023YFF1001100National Natural Science Foundation of China 32172697National Natural Science Foundation of China U23A20229Shenzhen Innovation and Entrepreneurship Plan, a major special project of science and technology KJZD20230923115003006
6 · The paper itself

Abstract

RNA-binding proteins (RBPs) play a pivotal role in post-transcriptional regulation of gene expression, critically influencing skeletal myogenesis, muscle growth, and regeneration. Despite the recent identification of RBP Rps27l (ribosomal protein S27-like) as a regulator affecting myogenic proliferation and differentiation, its functions and regulatory mechanisms in skeletal muscle development remain largely unknown. In this study, it is observed that muscle-specific Rps27l knock-in (M─KI) mice exhibit significantly increased muscle mass, enlarged myofiber size, a higher proportion of fast-twitch myofibers, and enhanced muscle regeneration capabilities compared to wild-type controls. Overexpression of Rps27l promotes myoblast proliferation while inhibiting differentiation in skeletal muscle cells. Mechanistically, it is revealed that the expression of Rps27l is negatively regulated by SIX4, a myogenic transcription factor. The N-terminal intrinsically disordered region of RPS27L facilitates liquid-liquid phase separation (LLPS) and interacts with IGF1 to collaboratively regulate myogenesis. The findings uncover the novel regulatory roles of RPS27L in skeletal muscle and highlight the significance of RPS27L-driven LLPS in myogenesis.

Indexed as

Insulin-Like Growth Factor IMuscle DevelopmentMuscle, SkeletalRibosomal ProteinsAnimalsCell DifferentiationCell ProliferationMicePhase Separationinsulin-like growth factor-1, mouseInsulin-Like Growth Factor IRibosomal ProteinsIGF1liquid‐liquid phase separationmuscle massmyofiber sizesRPS27Lskeletal muscle

Identifiers

PMID40886325
PMCPMC12667544

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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.