Evidence map›Paper›PMID 41174320›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Exploring the Functional Consequences of Protein-Coding Alternative Splice Variants at a Genome Scale: A Guide to Utilizing EXPANSION.

Chakit Arora, Natalia De Oliveira Rosa, Marin Matic, Mariastella Cascone, Pasquale Miglionico, Francesco Raimondi

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Chakit Arora *Laboratorio di Biologia Bio@SNS, Scuola Normale Superiore, Pisa, Italy. chakit.arora@sns.it.
Natalia De Oliveira Rosa *Laboratorio di Biologia Bio@SNS, Scuola Normale Superiore, Pisa, Italy. natalia.deoliveirarosa@sns.it.
Marin MaticLaboratorio di Biologia Bio@SNS, Scuola Normale Superiore, Pisa, Italy.
Mariastella CasconeLaboratorio di Biologia Bio@SNS, Scuola Normale Superiore, Pisa, Italy.
Pasquale MiglionicoLaboratorio di Biologia Bio@SNS, Scuola Normale Superiore, Pisa, Italy.
Francesco Raimondi *Laboratorio di Biologia Bio@SNS, Scuola Normale Superiore, Pisa, Italy. francesco.raimondi@sns.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This chapter serves as a comprehensive user guide for EXPANSION ( https://expansion.bioinfolab.sns.it/), an integrated web server dedicated to exploring the functional consequences of protein-coding alternative splice variants from genome-scale transcriptomics datasets. By amalgamating data from differentially expressed protein-coding transcripts, domain architecture, protein interaction networks, and gene enrichment analysis, EXPANSION provides researchers with a robust toolkit to dissect the impact of alternative splicing events on cellular functions. From navigating precalculated datasets to uploading custom data, visualizing transcript expression, scrutinizing splicing variations, and performing overrepresentation analysis, this chapter elucidates the key procedures involved in harnessing EXPANSION for a detailed exploration of protein alternative splicing from transcriptomics datasets in both healthy and disease conditions.

Indexed as

Alternative SplicingComputational BiologyGenomicsSoftwareGene Expression ProfilingHumansProtein Interaction MapsTranscriptomeAlternative splicingCancer genomicsCellular functionsGene enrichment analysisMolecular biologyProtein-coding transcriptsProtein domain architectureProtein interaction networks

Identifiers

What OpenQuestion holds

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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.