Evidence map›Paper›PMID 29385530›Full record

ArticleNucleic acids research2018

Integrative transcriptome sequencing reveals extensive alternative trans-splicing and cis-backsplicing in human cells.

Trees-Juen Chuang, Yen-Ju Chen, Chia-Ying Chen, Te-Lun Mai, Yi-Da Wang, Chung-Shu Yeh, Min-Yu Yang, Yu-Ting Hsiao, Tien-Hsien Chang, Tzu-Chien Kuo and 7 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
–field-weighted citation impact
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

49 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. The "cutting edge" of non-canonical RNA splicing.Frontiers in molecular biosciences · 2026
    Review
  5. Review
  6. Development of Mathematical Models Using circRNA Combinations (International journal of molecular sciences · 2025
    Article
  7. Article
  8. Exploring the Post Mortem Interval (PMI) Estimation Model by circRNAInternational journal of molecular sciences · 2025
    Article
  9. Review
  10. Characterization ofNAR genomics and bioinformatics · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

17 authors.

Trees-Juen ChuangGenomics Research Center, Academia Sinica, Taipei 11529, Taiwan.
Yen-Ju ChenGenomics Research Center, Academia Sinica, Taipei 11529, Taiwan.
Chia-Ying ChenGenomics Research Center, Academia Sinica, Taipei 11529, Taiwan.
Te-Lun MaiGenomics Research Center, Academia Sinica, Taipei 11529, Taiwan.
Yi-Da WangGenomics Research Center, Academia Sinica, Taipei 11529, Taiwan.
Chung-Shu YehGenomics Research Center, Academia Sinica, Taipei 11529, Taiwan.
Min-Yu YangGenomics Research Center, Academia Sinica, Taipei 11529, Taiwan.
Yu-Ting HsiaoGenomics Research Center, Academia Sinica, Taipei 11529, Taiwan.
Tien-Hsien ChangGenomics Research Center, Academia Sinica, Taipei 11529, Taiwan.
Tzu-Chien KuoGenomics Research Center, Academia Sinica, Taipei 11529, Taiwan.
Hsin-Hua ChoGenomics Research Center, Academia Sinica, Taipei 11529, Taiwan.
Chia-Ning ShenGenomics Research Center, Academia Sinica, Taipei 11529, Taiwan.
Hung-Chih KuoInstitute of Cellular and Organismic Biology, Academia Sinica, Taipei 11529, Taiwan.
Mei-Yeh LuHigh Throughput Genomics Core, Biodiversity Research Center, Academia Sinica, Taipei 11529, Taiwan.
Yi-Hua ChenHigh Throughput Genomics Core, Biodiversity Research Center, Academia Sinica, Taipei 11529, Taiwan.
Shan-Chi HsiehInstitute of Cellular and Organismic Biology, Academia Sinica, Taipei 11529, Taiwan.
Tai-Wei ChiangGenomics Research Center, Academia Sinica, Taipei 11529, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptionally non-co-linear (NCL) transcripts can originate from trans-splicing (trans-spliced RNA; 'tsRNA') or cis-backsplicing (circular RNA; 'circRNA'). While numerous circRNAs have been detected in various species, tsRNAs remain largely uninvestigated. Here, we utilize integrative transcriptome sequencing of poly(A)- and non-poly(A)-selected RNA-seq data from diverse human cell lines to distinguish between tsRNAs and circRNAs. We identified 24,498 NCL events and found that a considerable proportion (20-35%) of them arise from both tsRNAs and circRNAs, representing extensive alternative trans-splicing and cis-backsplicing in human cells. We show that sequence generalities of exon circularization are also observed in tsRNAs. Recapitulation of NCL RNAs further shows that inverted Alu repeats can simultaneously promote the formation of tsRNAs and circRNAs. However, tsRNAs and circRNAs exhibit quite different, or even opposite, expression patterns, in terms of correlation with the expression of their co-linear counterparts, expression breadth/abundance, transcript stability, and subcellular localization preference. These results indicate that tsRNAs and circRNAs may play different regulatory roles and analysis of NCL events should take the joint effects of different NCL-splicing types and joint effects of multiple NCL events into consideration. This study describes the first transcriptome-wide analysis of trans-splicing and cis-backsplicing, expanding our understanding of the complexity of the human transcriptome.

Indexed as

Alternative SplicingExonsGene Expression ProfilingHumansRNARNA, CircularRNA SplicingTranscriptomeTrans-SplicingRNARNA, Circular

Identifiers

PMID29385530
PMCPMC6283421

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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.