Evidence map›Paper›PMID 35612622›Full record

ArticleMolecular genetics and genomics : MGG2022

Revealing diverse alternative splicing variants of the highly homologous SMN1 and SMN2 genes by targeted long-read sequencing.

Mengyao Dai, Yan Xu, Yu Sun, Bing Xiao, Xiaomin Ying, Yu Liu, Wenting Jiang, Jingmin Zhang, Xiaoqing Liu, Xing Ji

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular genetics and genomics : MGG, 2022. 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
0.6field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

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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, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Long-read sequencing improves diagnostic rate in neuromuscular disorders.Acta myologica : myopathies and cardiomyopathies : official journal of the Mediterranean Society of Myology · 2023
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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 2 institutions in 1 country.

Mengyao Dai *Department of Paediatric Endocrinology/Genetics, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.ORCID http://orcid.org/0000-0001-8951-5075
Yan Xu *Department of Paediatric Endocrinology/Genetics, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yu Sun *Department of Paediatric Endocrinology/Genetics, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Bing XiaoDepartment of Paediatric Endocrinology/Genetics, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Xiaomin YingDepartment of Paediatric Endocrinology/Genetics, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yu LiuDepartment of Paediatric Endocrinology/Genetics, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Wenting JiangDepartment of Paediatric Endocrinology/Genetics, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Jingmin ZhangDepartment of Paediatric Endocrinology/Genetics, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Xiaoqing LiuDepartment of Paediatric Endocrinology/Genetics, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Xing JiDepartment of Paediatric Endocrinology/Genetics, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China. jixing@xinhuamed.com.cn.
Shanghai Jiao Tong University · CNXinHua Hospital · CN

Funding

Institute of Shanghai Municipal Commission of Health and Family Planning 20174Y0101Institute of Shanghai Municipal Commission of Health and Family Planning 20174Y0219National Natural Science Foundation of China 81701458National Natural Science Foundation of China 81801491
6 · The paper itself

Abstract

The survival of motor neuron (SMN) genes, SMN1 and SMN2, are two highly homologous genes related to spinal muscular atrophy (SMA). Different patterns of alternative splicing have been observed in the SMN genes. In this study, the long-read sequencing technique for distinguishing SMN1 and SMN2 without any assembly were developed and applied to reveal multiple alternative splicing patterns and to comprehensively identify transcript variants of the SMN genes. In total, 36 types of transcript variants were identified, with an equal number of variants generated from both SMN1 and SMN2. Of these, 18 were novel SMN transcripts that have never been reported. The structures of SMN transcripts were revealed to be much more complicated and diverse than previously discovered. These novel transcripts were derived from diverse splicing events, including skipping of one or more exons, intron retention, and exon shortening or addition. SMN1 mainly produces FL-SMN1, SMN1Δ7, SMN1Δ5 and SMN1Δ3. The distribution of SMN2 transcripts was significantly different from those of SMN1, with the majority transcripts to be SMN2Δ7, followed by FL-SMN2, SMN2Δ3,5 and SMN2Δ5,7. Targeted long-read sequencing approach could accurately distinguish sequences of SMN1 from those of SMN2. Our study comprehensively addressed naturally occurring SMN1 and SMN2 transcript variants and splicing patterns in peripheral blood mononuclear cells (PBMCs). The novel transcripts identified in our study expanded knowledge of the diversity of transcript variants generated from the SMN genes and showed a much more comprehensive profile of the SMN splicing spectrum. Results in our study will provide valuable information for the study of low expression level of SMN proteins and SMA pathogenesis based on transcript levels.

Indexed as

Muscular Atrophy, SpinalSurvival of Motor Neuron 1 ProteinSurvival of Motor Neuron 2 ProteinAlternative SplicingExonsHumansIntronsLeukocytes, MononuclearSequence Analysis, RNASMN1 protein, humanSMN2 protein, humanSurvival of Motor Neuron 1 ProteinSurvival of Motor Neuron 2 ProteinLong-read sequencingMutationNovel splice variantsSMN1 and SMN2Spinal muscular atrophy

Identifiers

PMID35612622
OpenAlexW4281485919

What OpenQuestion holds

Textmetadata
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.