Evidence map›Paper›PMID 33050418›Full record

ArticleGenes2020

Splicing Characteristics of Dystrophin Pseudoexons and Identification of a Novel Pathogenic Intronic Variant in the

Zhiying Xie, Liuqin Tang, Zhihao Xie, Chengyue Sun, Haoyue Shuai, Chao Zhou, Yilin Liu, Meng Yu, Yiming Zheng, Lingchao Meng and 5 more

Open access · goldAbstract readCase Reports
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 32% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Whole-Genome Sequencing Identified New Structural Variations in theInternational journal of molecular sciences · 2023
    Article
  5. Article
  6. 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

15 authors at 2 institutions in 2 countries.

Zhiying XieDepartment of Neurology, Peking University First Hospital, Beijing 100034, China.
Liuqin TangScience and Technology, Running Gene Inc., Beijing 100085, China.
Zhihao XieDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
Chengyue SunDepartment of Neurology, Peking University First Hospital, Beijing 100034, China.
Haoyue ShuaiCenter for Statistical Genetics, Sergievsky Center, Taub Institute for Alzheimer's Disease and the Aging Brain, and the Department of Neurology, Columbia University Medical Center, New York, NY 10032, USA.
Chao ZhouScience and Technology, Running Gene Inc., Beijing 100085, China.
Yilin LiuDepartment of Neurology, Peking University First Hospital, Beijing 100034, China.
Meng YuDepartment of Neurology, Peking University First Hospital, Beijing 100034, China.
Yiming ZhengDepartment of Neurology, Peking University First Hospital, Beijing 100034, China.
Lingchao MengDepartment of Neurology, Peking University First Hospital, Beijing 100034, China.
Wei ZhangDepartment of Neurology, Peking University First Hospital, Beijing 100034, China.ORCID 0000-0001-6241-4207
Suzanne M LealCenter for Statistical Genetics, Sergievsky Center, Taub Institute for Alzheimer's Disease and the Aging Brain, and the Department of Neurology, Columbia University Medical Center, New York, NY 10032, USA.
Zhaoxia WangDepartment of Neurology, Peking University First Hospital, Beijing 100034, China.
Isabelle SchrauwenCenter for Statistical Genetics, Sergievsky Center, Taub Institute for Alzheimer's Disease and the Aging Brain, and the Department of Neurology, Columbia University Medical Center, New York, NY 10032, USA.ORCID 0000-0001-7310-6082
Yun YuanDepartment of Neurology, Peking University First Hospital, Beijing 100034, China.
Peking University · CNColumbia University Irving Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pseudoexon (PE) inclusion has been implicated in various dystrophinopathies; however, its splicing characteristics have not been fully investigated. This study aims to analyze the splicing characteristics of dystrophin PEs and compare them with those of dystrophin canonical exons (CEs). Forty-two reported dystrophin PEs were divided into a splice site (ss) group and a splicing regulatory element (SRE) group. Five dystrophin PEs with characteristics of poison exons were identified and categorized as the possible poison exon group. The comparative analysis of each essential splicing signal among different groups of dystrophin PEs and dystrophin CEs revealed that the possible poison exon group had a stronger 3' ss compared to any other group. As for auxiliary SREs, different groups of dystrophin PEs were found to have a smaller density of diverse types of exonic splicing enhancers and a higher density of several types of exonic splicing silencers compared to dystrophin CEs. In addition, the possible poison exon group had a smaller density of 3' ss intronic splicing silencers compared to dystrophin CEs. To our knowledge, our findings indicate for the first time that poison exons might exist in

Indexed as

ExonsIntronsChild, PreschoolDystrophinHumansMaleMuscular Dystrophy, DuchenneMutationRegulatory Sequences, Nucleic AcidRNA, MessengerRNA SplicingDMD protein, humanDystrophinRNA, Messengercanonical exonDMDintronic variantspseudoexonsplicing characteristics

Identifiers

PMID33050418
PMCPMC7650627
OpenAlexW3092474479

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.