Evidence map›Paper›PMID 31025937›Full record

ArticleeLife2019

Global donor and acceptor splicing site kinetics in human cells.

Leonhard Wachutka, Livia Caizzi, Julien Gagneur, Patrick Cramer

Open access · goldAbstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

50 citing papers in PubMed, 1 synthesis or guideline pooled it, 88 citations in OpenAlex.

  1. Pooled it
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  6. International journal of molecular sciences · 2025
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  11. Condensation of ZFP207 and U1 snRNP promotes spliceosome assembly.Nature structural & molecular biology · 2025
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  15. Review
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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

4 authors at 2 institutions in 1 country.

Leonhard Wachutka *Department of Informatics, Technical University of Munich, Garching, Germany.ORCID 0000-0002-5959-040X
Livia Caizzi *Department of Molecular Biology, Max-Planck-Institute for Biophysical Chemistry, Göttingen, Germany.ORCID 0000-0001-9723-6893
Julien GagneurDepartment of Informatics, Technical University of Munich, Garching, Germany.ORCID 0000-0002-8924-8365
Patrick CramerDepartment of Molecular Biology, Max-Planck-Institute for Biophysical Chemistry, Göttingen, Germany.ORCID 0000-0001-5454-7755
Max Planck Institute for Biophysical Chemistry · DETechnical University of Munich · DE

Funding

European Molecular Biology Organization ALTF-1261-2014Horizon 2020 SOUND 633974Horizon 2020 SOUND 633974
6 · The paper itself

Abstract

RNA splicing is an essential part of eukaryotic gene expression. Although the mechanism of splicing has been extensively studied in vitro, in vivo kinetics for the two-step splicing reaction remain poorly understood. Here, we combine transient transcriptome sequencing (TT-seq) and mathematical modeling to quantify RNA metabolic rates at donor and acceptor splice sites across the human genome. Splicing occurs in the range of minutes and is limited by the speed of RNA polymerase elongation. Splicing kinetics strongly depends on the position and nature of nucleotides flanking splice sites, and on structural interactions between unspliced RNA and small nuclear RNAs in spliceosomal intermediates. Finally, we introduce the 'yield' of splicing as the efficiency of converting unspliced to spliced RNA and show that it is highest for mRNAs and independent of splicing kinetics. These results lead to quantitative models describing how splicing rates and yield are encoded in the human genome.

Indexed as

Genome, HumanRNA SplicingGene Expression ProfilingHumansK562 CellsKineticsModels, TheoreticalSequence Analysis, RNASpliceosomescomputational biologyco-transcriptional splicinggene regulatory elementsgeneticsgenomicshumanmetabolic labelingRNA metabolismsplicing kineticsplicing yieldsystems biology

Identifiers

PMID31025937
PMCPMC6548502
OpenAlexW2942020966

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.