Evidence map›Paper›PMID 24709818›Full record

ArticleGenome research2014

LaSSO, a strategy for genome-wide mapping of intronic lariats and branch points using RNA-seq.

Danny A Bitton, Charalampos Rallis, Daniel C Jeffares, Graeme C Smith, Yuan Y C Chen, Sandra Codlin, Samuel Marguerat, Jürg Bähler

Open access · hybridAbstract read
In one paragraph

Article in Genome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed, 70 citations in OpenAlex.

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  12. Fitness Landscape of the Fission Yeast Genome.Molecular biology and evolution · 2019
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  16. Pre-mRNA modifications and their role in nuclear processing.Quantitative biology (Beijing, China) · 2018
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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

8 authors at 1 institution in 1 country.

Danny A BittonUniversity College London, Department of Genetics, Evolution and Environment, London WC1E 6BT, United Kingdom; University College London, UCL Cancer Institute, London WC1E 6BT, United Kingdom.
Charalampos RallisUniversity College London, Department of Genetics, Evolution and Environment, London WC1E 6BT, United Kingdom; University College London, UCL Cancer Institute, London WC1E 6BT, United Kingdom.
Daniel C JeffaresUniversity College London, Department of Genetics, Evolution and Environment, London WC1E 6BT, United Kingdom; University College London, UCL Cancer Institute, London WC1E 6BT, United Kingdom.
Graeme C SmithUniversity College London, Department of Genetics, Evolution and Environment, London WC1E 6BT, United Kingdom; University College London, UCL Cancer Institute, London WC1E 6BT, United Kingdom.
Yuan Y C ChenUniversity College London, Department of Genetics, Evolution and Environment, London WC1E 6BT, United Kingdom; University College London, UCL Cancer Institute, London WC1E 6BT, United Kingdom.
Sandra CodlinUniversity College London, Department of Genetics, Evolution and Environment, London WC1E 6BT, United Kingdom; University College London, UCL Cancer Institute, London WC1E 6BT, United Kingdom.
Samuel MargueratUniversity College London, Department of Genetics, Evolution and Environment, London WC1E 6BT, United Kingdom; University College London, UCL Cancer Institute, London WC1E 6BT, United Kingdom.
Jürg BählerUniversity College London, Department of Genetics, Evolution and Environment, London WC1E 6BT, United Kingdom; University College London, UCL Cancer Institute, London WC1E 6BT, United Kingdom.
University College London · GB

Funding

Wellcome Trust 095598
6 · The paper itself

Abstract

Both canonical and alternative splicing of RNAs are governed by intronic sequence elements and produce transient lariat structures fastened by branch points within introns. To map precisely the location of branch points on a genomic scale, we developed LaSSO (Lariat Sequence Site Origin), a data-driven algorithm which utilizes RNA-seq data. Using fission yeast cells lacking the debranching enzyme Dbr1, LaSSO not only accurately identified canonical splicing events, but also pinpointed novel, but rare, exon-skipping events, which may reflect aberrantly spliced transcripts. Compromised intron turnover perturbed gene regulation at multiple levels, including splicing and protein translation. Notably, Dbr1 function was also critical for the expression of mitochondrial genes and for the processing of self-spliced mitochondrial introns. LaSSO showed better sensitivity and accuracy than algorithms used for computational branch-point prediction or for empirical branch-point determination. Even when applied to a human data set acquired in the presence of debranching activity, LaSSO identified both canonical and exon-skipping branch points. LaSSO thus provides an effective approach for defining high-resolution maps of branch-site sequences and intronic elements on a genomic scale. LaSSO should be useful to validate introns and uncover branch-point sequences in any eukaryote, and it could be integrated into RNA-seq pipelines.

Indexed as

AlgorithmsChromosome MappingIntronsNucleotide MotifsRegulatory Sequences, Nucleic AcidRNA SplicingBase SequenceComputational BiologyDatabases, Nucleic AcidExonsGene DeletionGene Expression ProfilingGenomicsHigh-Throughput Nucleotide SequencingHumansPosition-Specific Scoring MatricesRNA, FungalRNA Precursors

Identifiers

PMID24709818
PMCPMC4079972
OpenAlexW2097916967

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.