Evidence map›Paper›PMID 33750298›Full record

ArticleBMC genomics2021

Identification of 11 candidate structured noncoding RNA motifs in humans by comparative genomics.

Lijuan Hou, Jin Xie, Yaoyao Wu, Jiaojiao Wang, Anqi Duan, Yaqi Ao, Xuejiao Liu, Xinmei Yu, Hui Yan, Jonathan Perreault and 1 more

Abstract read
In one paragraph

Article in BMC genomics, 2021. 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. Article
  2. Article
  3. BLSSpeller to discover novel regulatory motifs in maize.DNA research : an international journal for rapid publication of reports on genes and genomes · 2022
    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

11 authors.

Lijuan HouMedical School, Molecular Medicine Engineering and Research Center of Ministry of Education, Key Laboratory of Precision Medicine and Molecular Diagnosis of Fujian Universities, Institute of Genomics, School of Biomedical Sciences, Huaqiao University, Xiamen, 361021, P. R. China.
Jin XieMedical School, Molecular Medicine Engineering and Research Center of Ministry of Education, Key Laboratory of Precision Medicine and Molecular Diagnosis of Fujian Universities, Institute of Genomics, School of Biomedical Sciences, Huaqiao University, Xiamen, 361021, P. R. China.
Yaoyao WuMedical School, Molecular Medicine Engineering and Research Center of Ministry of Education, Key Laboratory of Precision Medicine and Molecular Diagnosis of Fujian Universities, Institute of Genomics, School of Biomedical Sciences, Huaqiao University, Xiamen, 361021, P. R. China.
Jiaojiao WangMedical School, Molecular Medicine Engineering and Research Center of Ministry of Education, Key Laboratory of Precision Medicine and Molecular Diagnosis of Fujian Universities, Institute of Genomics, School of Biomedical Sciences, Huaqiao University, Xiamen, 361021, P. R. China.
Anqi DuanMedical School, Molecular Medicine Engineering and Research Center of Ministry of Education, Key Laboratory of Precision Medicine and Molecular Diagnosis of Fujian Universities, Institute of Genomics, School of Biomedical Sciences, Huaqiao University, Xiamen, 361021, P. R. China.
Yaqi AoMedical School, Molecular Medicine Engineering and Research Center of Ministry of Education, Key Laboratory of Precision Medicine and Molecular Diagnosis of Fujian Universities, Institute of Genomics, School of Biomedical Sciences, Huaqiao University, Xiamen, 361021, P. R. China.
Xuejiao LiuMedical School, Molecular Medicine Engineering and Research Center of Ministry of Education, Key Laboratory of Precision Medicine and Molecular Diagnosis of Fujian Universities, Institute of Genomics, School of Biomedical Sciences, Huaqiao University, Xiamen, 361021, P. R. China.
Xinmei YuMedical School, Molecular Medicine Engineering and Research Center of Ministry of Education, Key Laboratory of Precision Medicine and Molecular Diagnosis of Fujian Universities, Institute of Genomics, School of Biomedical Sciences, Huaqiao University, Xiamen, 361021, P. R. China.
Hui YanMedical School, Molecular Medicine Engineering and Research Center of Ministry of Education, Key Laboratory of Precision Medicine and Molecular Diagnosis of Fujian Universities, Institute of Genomics, School of Biomedical Sciences, Huaqiao University, Xiamen, 361021, P. R. China.
Jonathan PerreaultINRS - Institut Armand-Frappier, 531 boul des Prairies, Laval, Québec, H7V1B7, Canada.
Sanshu LiMedical School, Molecular Medicine Engineering and Research Center of Ministry of Education, Key Laboratory of Precision Medicine and Molecular Diagnosis of Fujian Universities, Institute of Genomics, School of Biomedical Sciences, Huaqiao University, Xiamen, 361021, P. R. China. sanshuli@hqu.edu.cn.ORCID http://orcid.org/0000-0001-9399-112X

Funding

Huaqiao University Research Fund 605-50Y16015National Natural Science Foundation of China 31770882Natural Science Foundation of Fujian Province 2018J01051Project of Science and Technology of Quanzhou 2018C021Xiamen Double-hundred Talent Project Z1724069
6 · The paper itself

Abstract

backgroundOnly 1.5% of the human genome encodes proteins, while large part of the remaining encodes noncoding RNAs (ncRNA). Many ncRNAs form structures and perform many important functions. Accurately identifying structured ncRNAs in the human genome and discovering their biological functions remain a major challenge.

resultsHere, we have established a pipeline (CM-line) with the following features for analyzing the large genomes of humans and other animals. First, we selected species with larger genetic distances to facilitate the discovery of covariations and compatible mutations. Second, we used CMfinder, which can generate useful alignments even with low sequence conservation. Third, we removed repetitive sequences and known structured ncRNAs to reduce the workload of CMfinder. Fourth, we used Infernal to find more representatives and refine the structure. We reported 11 classes of structured ncRNA candidates with significant covariations in humans. Functional analysis showed that these ncRNAs may have variable functions. Some may regulate circadian clock genes through poly (A) signals (PAS); some may regulate the elongation factor (EEF1A) and the T-cell receptor signaling pathway by cooperating with RNA binding proteins.

conclusionsBy searching for important features of RNA structure from large genomes, the CM-line has revealed the existence of a variety of novel structured ncRNAs. Functional analysis suggests that some newly discovered ncRNA motifs may have biological functions. The pipeline we have established for the discovery of structured ncRNAs and the identification of their functions can also be applied to analyze other large genomes.

Indexed as

GenomicsRNA, UntranslatedAnimalsGenomeHumansNucleotide MotifsRNARNARNA, UntranslatedAnimal genomesComparative genomicsHuman genomesPipelineStructured ncRNAs

Identifiers

PMID33750298
PMCPMC7941889

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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.