Evidence map›Paper›PMID 23340839›Full record

ArticleMolecular systems biology2013

Widespread splicing changes in human brain development and aging.

Pavel Mazin, Jieyi Xiong, Xiling Liu, Zheng Yan, Xiaoyu Zhang, Mingshuang Li, Liu He, Mehmet Somel, Yuan Yuan, Yi-Ping Phoebe Chen and 9 more

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 137 papers.

0numbers the graph read from it
0cells of the map it votes in
137citing papers in PubMed
9.0field-weighted citation impact, top 1% 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

137 citing papers in PubMed, 222 citations in OpenAlex.

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  7. TDP-43: [GU]-ardian of the transcriptome.Molecular neurodegeneration · 2026
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  14. Vitamin BResearch square · 2025
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  16. The Role of mRNA Alternative Processing in Mammalian Neurodevelopment.International journal of molecular sciences · 2025
    Review
  17. NADScience advances · 2025
    Article
  18. Article
  19. Review
  20. The Implications of Alternative Splicing Regulation for Maximum Lifespan.bioRxiv : the preprint server for biology · 2025
    Article

77 more citing papers are in PubMed but not listed here.

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

19 authors at 7 institutions in 4 countries.

Pavel MazinKey Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Chinese Academy of Sciences, Shanghai, China.
Jieyi Xiong
Xiling Liu
Zheng Yan
Xiaoyu Zhang
Mingshuang Li
Liu He
Mehmet Somel
Yuan Yuan
Yi-Ping Phoebe Chen
Na Li
Yuhui Hu
Ning Fu
Zhibin Ning
Rong Zeng
Hongyi Yang
Wei Chen
Mikhail Gelfand
Philipp Khaitovich
Chinese Academy of Sciences · CNMax Delbrück Center · DENortheast Forestry University · CNLa Trobe University · AULomonosov Moscow State University · RUMax Planck Institute for Evolutionary Anthropology · DEMax Planck Institute for Molecular Genetics · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While splicing differences between tissues, sexes and species are well documented, little is known about the extent and the nature of splicing changes that take place during human or mammalian development and aging. Here, using high-throughput transcriptome sequencing, we have characterized splicing changes that take place during whole human lifespan in two brain regions: prefrontal cortex and cerebellum. Identified changes were confirmed using independent human and rhesus macaque RNA-seq data sets, exon arrays and PCR, and were detected at the protein level using mass spectrometry. Splicing changes across lifespan were abundant in both of the brain regions studied, affecting more than a third of the genes expressed in the human brain. Approximately 15% of these changes differed between the two brain regions. Across lifespan, splicing changes followed discrete patterns that could be linked to neural functions, and associated with the expression profiles of the corresponding splicing factors. More than 60% of all splicing changes represented a single splicing pattern reflecting preferential inclusion of gene segments potentially targeting transcripts for nonsense-mediated decay in infants and elderly.

Indexed as

RNA SplicingAdolescentAdultAgedAged, 80 and overAgingAlternative SplicingAnimalsCerebellumChildChild, PreschoolExonsGene Expression ProfilingHumansInfantInfant, NewbornProteins

Identifiers

PMID23340839
PMCPMC3564255
OpenAlexW2146646792

What OpenQuestion holds

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LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

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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.