Evidence map›Paper›PMID 31594945›Full record

ArticleNature communications2019

Dissecting splicing decisions and cell-to-cell variability with designed sequence libraries.

Martin Mikl, Amit Hamburg, Yitzhak Pilpel, Eran Segal

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
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  3. Control of gene output by intron RNA structure.bioRxiv : the preprint server for biology · 2025
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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.

Martin MiklDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, 7610001, Israel. martin.mikl@weizmann.ac.il.ORCID http://orcid.org/0000-0001-8913-7158
Amit HamburgDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, 7610001, Israel.
Yitzhak PilpelDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot, 7610001, Israel.
Eran SegalDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, 7610001, Israel. eran.segal@weizmann.ac.il.ORCID http://orcid.org/0000-0002-6859-1164

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most human genes are alternatively spliced, allowing for a large expansion of the proteome. The multitude of regulatory inputs to splicing limits the potential to infer general principles from investigating native sequences. Here, we create a rationally designed library of >32,000 splicing events to dissect the complexity of splicing regulation through systematic sequence alterations. Measuring RNA and protein splice isoforms allows us to investigate both cause and effect of splicing decisions, quantify diverse regulatory inputs and accurately predict (R

Indexed as

Alternative SplicingSingle-Cell AnalysisCloning, MolecularComputational BiologyGene Expression ProfilingGene LibraryHigh-Throughput Nucleotide SequencingHumansK562 CellsMachine LearningMutationProtein IsoformsProteomeRNA, MessengerRNA Splice SitesSequence Analysis, DNAProtein IsoformsProteomeRNA, MessengerRNA Splice Sites

Identifiers

PMID31594945
PMCPMC6783452

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.