Evidence map›Paper›PMID 34819032›Full record

ArticleBMC genomics2021

Alternative splicing level related to intron size and organism complexity.

Pengcheng Yang, Depin Wang, Le Kang

Abstract read
In one paragraph

Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. BlendSplice: A Frequency-Blended Generative Framework forComputational and structural biotechnology journal · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Interplays betweenInternational journal of molecular sciences · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. 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

3 authors.

Pengcheng Yang *Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, China.
Depin Wang *Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China.
Le KangBeijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, China. lkang@ioz.ac.cn.

Funding

National Natural Science Foundation of China 31771452
6 · The paper itself

Abstract

backgroundAlternative splicing is the process of selecting different combinations of splice sites to produce variably spliced mRNAs. However, the relationships between alternative splicing prevalence and level (ASP/L) and variations of intron size and organism complexity (OC) remain vague. Here, we developed a robust protocol to analyze the relationships between ASP/L and variations of intron size and OC. Approximately 8 Tb raw RNA-Seq data from 37 eumetazoan species were divided into three sets of species based on variations in intron size and OC.

resultsWe found a strong positive correlation between ASP/L and OC, but no correlation between ASP/L and intron size across species. Surprisingly, ASP/L displayed a positive correlation with mean intron size of genes within individual genomes. Moreover, our results revealed that four ASP/L-related pathways contributed to the differences in ASP/L that were associated with OC. In particular, the spliceosome pathway displayed distinct genomic features, such as the highest gene expression level, conservation level, and fraction of disordered regions. Interestingly, lower or no obvious correlations were observed among these genomic features.

conclusionsThe positive correlation between ASP/L and OC ubiquitously exists in eukaryotes, and this correlation is not affected by the mean intron size of these species. ASP/L-related splicing factors may play an important role in the evolution of OC.

Indexed as

Alternative SplicingEukaryotaGenomeIntronsRNA, MessengerRNA SplicingRNA, MessengerConservationGene familyIntron densityProtein disorderRNA-SeqSplicing factor

Identifiers

PMID34819032
PMCPMC8614042

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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.