Evidence map›Paper›PMID 31552886›Full record

ArticleNeural regeneration research2020

Pathological significance of tRNA-derived small RNAs in neurological disorders.

Chuan Qin, Pei-Pei Xu, Xin Zhang, Chao Zhang, Chang-Bin Liu, De-Gang Yang, Feng Gao, Ming-Liang Yang, Liang-Jie Du, Jian-Jun Li

Open access · goldAbstract read
In one paragraph

Article in Neural regeneration research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

48 citing papers in PubMed, 65 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Chuan QinSchool of Rehabilitation Medicine, Capital Medical University; China Rehabilitation Science Institute; Center of Neural Injury and Repair, Beijing Institute for Brain Disorders; Department of Spinal and Neural Functional Reconstruction, China Rehabilitation Research Center; Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, China.
Pei-Pei XuSchool of Rehabilitation Medicine, Capital Medical University; China Rehabilitation Science Institute; Center of Neural Injury and Repair, Beijing Institute for Brain Disorders; Department of Spinal and Neural Functional Reconstruction, China Rehabilitation Research Center; Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, China.
Xin ZhangSchool of Rehabilitation Medicine, Capital Medical University; China Rehabilitation Science Institute; Center of Neural Injury and Repair, Beijing Institute for Brain Disorders; Department of Spinal and Neural Functional Reconstruction, China Rehabilitation Research Center; Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, China.
Chao ZhangSchool of Rehabilitation Medicine, Capital Medical University; China Rehabilitation Science Institute; Center of Neural Injury and Repair, Beijing Institute for Brain Disorders; Department of Spinal and Neural Functional Reconstruction, China Rehabilitation Research Center; Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, China.
Chang-Bin LiuSchool of Rehabilitation Medicine, Capital Medical University; China Rehabilitation Science Institute; Center of Neural Injury and Repair, Beijing Institute for Brain Disorders; Department of Spinal and Neural Functional Reconstruction, China Rehabilitation Research Center; Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, China.
De-Gang YangSchool of Rehabilitation Medicine, Capital Medical University; China Rehabilitation Science Institute; Center of Neural Injury and Repair, Beijing Institute for Brain Disorders; Department of Spinal and Neural Functional Reconstruction, China Rehabilitation Research Center; Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, China.
Feng GaoSchool of Rehabilitation Medicine, Capital Medical University; China Rehabilitation Science Institute; Center of Neural Injury and Repair, Beijing Institute for Brain Disorders; Department of Spinal and Neural Functional Reconstruction, China Rehabilitation Research Center; Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, China.
Ming-Liang YangSchool of Rehabilitation Medicine, Capital Medical University; China Rehabilitation Science Institute; Center of Neural Injury and Repair, Beijing Institute for Brain Disorders; Department of Spinal and Neural Functional Reconstruction, China Rehabilitation Research Center; Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, China.
Liang-Jie DuSchool of Rehabilitation Medicine, Capital Medical University; China Rehabilitation Science Institute; Center of Neural Injury and Repair, Beijing Institute for Brain Disorders; Department of Spinal and Neural Functional Reconstruction, China Rehabilitation Research Center; Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, China.
Jian-Jun LiSchool of Rehabilitation Medicine, Capital Medical University; China Rehabilitation Science Institute; Center of Neural Injury and Repair, Beijing Institute for Brain Disorders; Department of Spinal and Neural Functional Reconstruction, China Rehabilitation Research Center; Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, China.
China Rehabilitation Research Center · CNCapital Medical University · CNChinese Institute for Brain Research · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-coding RNAs (ncRNAs) are a type of RNA that is not translated into proteins. Transfer RNAs (tRNAs), a type of ncRNA, are the second most abundant type of RNA in cells. Recent studies have shown that tRNAs can be cleaved into a heterogeneous population of ncRNAs with lengths of 18-40 nucleotides, known as tRNA-derived small RNAs (tsRNAs). There are two main types of tsRNA, based on their length and the number of cleavage sites that they contain: tRNA-derived fragments and tRNA-derived stress-induced RNAs. These RNA species were first considered to be byproducts of tRNA random cleavage. However, mounting evidence has demonstrated their critical functional roles as regulatory factors in the pathophysiological processes of various diseases, including neurological diseases. However, the underlying mechanisms by which tsRNAs affect specific cellular processes are largely unknown. Therefore, this study comprehensively summarizes the following points: (1) The biogenetics of tsRNA, including their discovery, classification, formation, and the roles of key enzymes. (2) The main biological functions of tsRNA, including its miRNA-like roles in gene expression regulation, protein translation regulation, regulation of various cellular activities, immune mediation, and response to stress. (3) The potential mechanisms of pathophysiological changes in neurological diseases that are regulated by tsRNA, including neurodegeneration and neurotrauma. (4) The identification of the functional diversity of tsRNA may provide valuable information regarding the physiological and pathophysiological mechanisms of neurological disorders, thus providing a new reference for the clinical treatment of neurological diseases. Research into tsRNAs in neurological diseases also has the following challenges: potential function and mechanism studies, how to accurately quantify expression, and the exact relationship between tsRNA and miRNA. These challenges require future research efforts.

Indexed as

epigeneticsmolecular biologyneurological disordersreviewsequencingstresstRNAtRNA-derived fragmentstRNA-derived small RNAstRNA-derived stress-induced RNA

Identifiers

PMID31552886
PMCPMC6905339
OpenAlexW2975832453

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.