Evidence map›Paper›PMID 34718740›Full record

ArticleNucleic acids research2022

RNAPhaSep: a resource of RNAs undergoing phase separation.

Haibo Zhu, Hao Fu, Tianyu Cui, Lin Ning, Huaguo Shao, Yehan Guo, Yanting Ke, Jiayi Zheng, Hongyan Lin, Xin Wu and 9 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Liquid-liquid phase separation in Alzheimer's disease.Journal of molecular medicine (Berlin, Germany) · 2024
    Review
  6. Article
  7. Article
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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

19 authors.

Haibo ZhuDepartment of Intelligent Medical Engineering, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou 350122, China.
Hao FuDepartment of Intelligent Medical Engineering, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou 350122, China.
Tianyu CuiDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
Lin NingDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
Huaguo ShaoDepartment of Intelligent Medical Engineering, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou 350122, China.
Yehan GuoDepartment of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou 350122, China.
Yanting KeDepartment of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou 350122, China.
Jiayi ZhengDepartment of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou 350122, China.
Hongyan LinDepartment of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou 350122, China.
Xin WuDepartment of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou 350122, China.
Guanghao LiuDepartment of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou 350122, China.
Jun HeDepartment of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou 350122, China.
Xin HanDepartment of Biochemistry and Molecular Biology, School of Medicine & Holistic Integrative Medicine, Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing 210023, China.
Wenlin LiSchool of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing Jiangsu 210023, China.
Xiaoyang ZhaoState Key Laboratory of Organ Failure Research, Department of Developmental Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
Huasong LuZhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310058, China.
Dong WangDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.ORCID 0000-0003-0988-7405
Kongfa HuSchool of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing Jiangsu 210023, China.
Xiaopei ShenDepartment of Intelligent Medical Engineering, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou 350122, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liquid-liquid phase separation (LLPS) partitions cellular contents, underlies the formation of membraneless organelles and plays essential biological roles. To date, most of the research on LLPS has focused on proteins, especially RNA-binding proteins. However, accumulating evidence has demonstrated that RNAs can also function as 'scaffolds' and play essential roles in seeding or nucleating the formation of granules. To better utilize the knowledge dispersed in published literature, we here introduce RNAPhaSep (http://www.rnaphasep.cn), a manually curated database of RNAs undergoing LLPS. It contains 1113 entries with experimentally validated RNA self-assembly or RNA and protein co-involved phase separation events. RNAPhaSep contains various types of information, including RNA information, protein information, phase separation experiment information and integrated annotation from multiple databases. RNAPhaSep provides a valuable resource for exploring the relationship between RNA properties and phase behaviour, and may further enhance our comprehensive understanding of LLPS in cellular functions and human diseases.

Indexed as

Databases, Nucleic AcidPhase TransitionSoftwareAnimalsEukaryotic CellsHumansInternetMolecular Sequence AnnotationOrganellesPlantsRNARNA-Binding ProteinsSaccharomyces cerevisiaeRNARNA-Binding Proteins

Identifiers

PMID34718740
PMCPMC8728120

What OpenQuestion holds

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Registered trials

None linked

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.