Evidence map›Paper›PMID 35281615›Full record

ArticleBioMed research international2022

Differential Expression and Bioinformatics Analysis of tRF/tiRNA in Endometriosis Patients.

Wang-Shu Li, Yi-Lin Li, Rui Cao, Chun-Fang Ha, Shu Sun, Lan Yu, Jian Li

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. The Expression Pattern of tRNA-Derived Small RNAs in AdultInternational journal of molecular sciences · 2023
    Article
  6. Review
  7. Article
  8. Article
  9. 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

7 authors at 1 institution in 1 country.

Wang-Shu LiDepartment of Gynecology, Dalian Women and Children's Medical Center (Group), 1 Dunhuang Road, Shahekou District, Dalian City, China.
Yi-Lin LiDepartment of Gynecology, Dalian Women and Children's Medical Center (Group), 1 Dunhuang Road, Shahekou District, Dalian City, China.ORCID https://orcid.org/0000-0002-6287-8113
Rui CaoDepartment of Gynecology, Dalian Women and Children's Medical Center (Group), 1 Dunhuang Road, Shahekou District, Dalian City, China.
Chun-Fang HaDepartment of Obstetrics and Gynecology in General Hospital, Key Laboratory of Fertility Preservation and Maintenance of the Ministry of Education, Ningxia Medical University, Yinchuan, Ningxia, China.
Shu SunDepartment of Gynecology, Dalian Women and Children's Medical Center (Group), 1 Dunhuang Road, Shahekou District, Dalian City, China.
Lan YuDepartment of Gynecology, Dalian Women and Children's Medical Center (Group), 1 Dunhuang Road, Shahekou District, Dalian City, China.
Jian LiDepartment of Gynecology, Dalian Women and Children's Medical Center (Group), 1 Dunhuang Road, Shahekou District, Dalian City, China.ORCID https://orcid.org/0000-0002-0828-4277
Ningxia Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Endometriosis (EMs) is a benign chronic condition that tends to recur in women of childbearing age, with an incidence of approximately 10%. It is a multifactorial disease for which the pathogenesis is currently unclear. This study is aimed at investigating the expression and clinical significance of tRNA-derived small RNA (tsRNA), a novel noncoding small RNA with potential regulatory functions, in endometriosis. Methods: The tRF/tiRNA expression profiles in endometrial tissues from three pairs of endometriosis patients and controls were detected by tRF&tiRNA PCR microarray technology and then verified by quantitative real-time polymerase chain reaction (qPCR). The target genes and target sites of TRF396, tiRNA-5030-GlnTTG-3, TRF308, and TRF320 were predicted by miRanda, and the network diagram of their interaction with miRNA was drawn. The impact of tRNA-derived fragments on the pathogenesis of endometriosis was analyzed using the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). Results: Two upregulated and 19 downregulated tRNA-derived fragments were identified. The qRT-PCR results of 2 upregulated and 2 downregulated RNA-derived fragments were consistent with the RNA Seq data. The OR2B4 gene related to TRF396, the DGAT1 gene related to tiRNA-5030-GlnTTG-3, the KLF16 gene of TRF308, and the RNF213 gene of TRF320 had significant correlations. Gene Ontology and pathway analysis showed that the target genes of TRF396 and tiRNA-5030-GlnTTG-3 were mainly involved in the intrinsic components of the membrane and the overall composition of the membrane in cell components; molecular functions mainly involve olfactory conduction and G protein-coupled receptor activity. In the biological process, it was mainly involved in the detection of sensory stimuli. The target genes of TRF308 and TRF320 were mainly involved in the intracellular part; molecular functions are mainly related to DNA binding transcription factor activity and protein binding and mainly related to biological regulation of biological processes. Pathway analysis showed that the RAP1 signaling pathway and the AXON GUIDANCE signaling pathway may participate in the progression of endometriosis. Conclusion: The differential expression of tRF/tiRNA in endometriosis may be related to the pathogenesis of endometriosis. Furthermore, tRF/tiRNA may be a biomarker for the diagnosis and treatment of EMs in the future.

Indexed as

EndometriosisMicroRNAsAdenosine TriphosphatasesComputational BiologyFemaleGene OntologyHumansKruppel-Like Transcription FactorsRNA, TransferUbiquitin-Protein LigasesAdenosine TriphosphatasesKLF16 protein, humanKruppel-Like Transcription FactorsMicroRNAsRNA, TransferRNF213 protein, humanUbiquitin-Protein Ligases

Identifiers

PMID35281615
PMCPMC8913131
OpenAlexW4214848659

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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.