Evidence map›Paper›PMID 28911119›Full record

ArticleNucleic acids research2017

A snoRNA modulates mRNA 3' end processing and regulates the expression of a subset of mRNAs.

Chunliu Huang, Junjie Shi, Yibin Guo, Weijun Huang, Shanshan Huang, Siqi Ming, Xingui Wu, Rui Zhang, Junjun Ding, Wei Zhao and 5 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
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

74 citing papers in PubMed, 109 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Genome-wide profiling of RNA 2'-bioRxiv : the preprint server for biology · 2025
    Article
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  8. Review
  9. Article
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  13. Article
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  17. The zebrafish (NAR genomics and bioinformatics · 2025
    Article
  18. Review
  19. Review
  20. Article

14 more citing papers are in PubMed but not listed here.

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

15 authors at 2 institutions in 2 countries.

Chunliu HuangCenter for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou 510080, China.
Junjie ShiCenter for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou 510080, China.
Yibin GuoDepartment of Medical Genetics, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Weijun HuangCenter for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou 510080, China.
Shanshan HuangCenter for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou 510080, China.
Siqi MingInstitute of Tuberculosis Control, Key laboratory of Tropical Diseases Control, Ministry of Education, Sun Yat-sen University, Guangzhou 510080, China.
Xingui WuCenter for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou 510080, China.
Rui ZhangKey Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China.
Junjun DingCenter for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou 510080, China.
Wei ZhaoCenter for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou 510080, China.
Jie JiaDepartment of Biology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou 510080, China.
Xi HuangInstitute of Tuberculosis Control, Key laboratory of Tropical Diseases Control, Ministry of Education, Sun Yat-sen University, Guangzhou 510080, China.
Andy Peng XiangCenter for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou 510080, China.
Yongsheng ShiDepartment of Microbiology and Molecular Genetics, School of Medicine, University of California Irvine, Irvine, CA 92697, USA.
Chengguo YaoCenter for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou 510080, China.
Sun Yat-sen University · CNUniversity of California, Irvine · US

Funding

Characterization of the mammalian mRNA-3'-end processing complexR01GM090056 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI SHI, YONGSHENG · 2010 to 2022
$4.2M
Coordinated regulation of alternative pre-mRNA processing in colon cancerR01CA177651 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI EDWARDS, ROBERT ANDREW, HERTEL, KLEMENS J · 2014 to 2018
$2.4M
NCI NIH HHS R01 CA177651NIGMS NIH HHS R01 GM090056
6 · The paper itself

Abstract

mRNA 3' end processing is an essential step in gene expression. It is well established that canonical eukaryotic pre-mRNA 3' processing is carried out within a macromolecular machinery consisting of dozens of trans-acting proteins. However, it is unknown whether RNAs play any role in this process. Unexpectedly, we found that a subset of small nucleolar RNAs (snoRNAs) are associated with the mammalian mRNA 3' processing complex. These snoRNAs primarily interact with Fip1, a component of cleavage and polyadenylation specificity factor (CPSF). We have functionally characterized one of these snoRNAs and our results demonstrated that the U/A-rich SNORD50A inhibits mRNA 3' processing by blocking the Fip1-poly(A) site (PAS) interaction. Consistently, SNORD50A depletion altered the Fip1-RNA interaction landscape and changed the alternative polyadenylation (APA) profiles and/or transcript levels of a subset of genes. Taken together, our data revealed a novel function for snoRNAs and provided the first evidence that non-coding RNAs may play an important role in regulating mRNA 3' processing.

Indexed as

Cleavage And Polyadenylation Specificity FactorGene Expression RegulationHeLa CellsHumansMonomeric GTP-Binding ProteinsmRNA Cleavage and Polyadenylation FactorsPoly AProtein BindingRNA 3' End ProcessingRNA, MessengerRNA, Small NucleolarCleavage And Polyadenylation Specificity FactorMonomeric GTP-Binding ProteinsmRNA Cleavage and Polyadenylation FactorsPoly ARNA, MessengerRNA, Small NucleolarRRAGA protein, human

Identifiers

PMID28911119
PMCPMC5587809
OpenAlexW2736393086

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.