Evidence map›Paper›PMID 34680971›Full record

ArticleGenes2021

DBtRend: A Web-Server of tRNA Expression Profiles from Small RNA Sequencing Data in Humans.

Jin-Ok Lee, Minho Lee, Yeun-Jun Chung

Open access · goldAbstract read
In one paragraph

Article in Genes, 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
0.2field-weighted citation impact, top 50% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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

3 authors at 2 institutions in 1 country.

Jin-Ok LeeDepartment of Biomedicine & Health Sciences, Graduate School, The Catholic University of Korea, Seoul 06591, Korea.ORCID 0000-0002-3151-9679
Minho LeeDepartment of Life Science, Dongguk University-Seoul, Goyang 10326, Korea.ORCID 0000-0002-0168-9546
Yeun-Jun ChungDepartment of Microbiology, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.ORCID 0000-0002-6943-5948
Catholic University of Korea · KRDongguk University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transfer RNA (tRNA), a key component of the translation machinery, plays critical roles in stress conditions and various diseases. While knowledge regarding the importance of tRNA function is increasing, its biological roles are still not well understood. There is currently no comprehensive database or web server providing the expression landscape of tRNAs across a variety of human tissues and diseases. Here, we constructed a user-friendly and interactive database, DBtRend, which provides a profile of mature tRNA expression across various biological conditions by reanalyzing the small RNA or microRNA sequencing data from the Cancer Genome Atlas (TCGA) and NCBI's Gene Expression Omnibus (GEO) in humans. Users can explore not only the expression values of mature individual tRNAs in the human genome, but also those of isodecoders and isoacceptors based on our specific pipelines. DBtRend provides the expressed patterns of tRNAs, the differentially expressed tRNAs in different biological conditions, and the information of samples or patients, tissue types, and molecular subtype of cancers. The database is expected to help researchers interested in functional discoveries of tRNAs.

Indexed as

Databases, GeneticInternetSoftwareBase SequenceGene Expression RegulationHumansRNARNA Processing, Post-TranscriptionalRNA, TransferRNARNA, Transferhuman tRNA expressionsmall RNA sequencingweb-based interactive analysisweb database

Identifiers

PMID34680971
PMCPMC8535304
OpenAlexW3204725220

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.