Evidence map›Paper›PMID 34564308›Full record

ReviewMethods and protocols2021

What's Wrong in a Jump? Prediction and Validation of Splice Site Variants.

Giulia Riolo, Silvia Cantara, Claudia Ricci

Open access · goldAbstract readReview
In one paragraph

Review in Methods and protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

24 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
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  5. Review
  6. Assessing the Functional Significance of Novel and Rare Variants of theInternational journal of molecular sciences · 2025
    Article
  7. Genes · 2025
    Review
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  12. Review
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  18. Review
  19. Article
  20. Selection of Diagnostically Significant Regions of theInternational journal of molecular sciences · 2022
    Article
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

3 authors at 1 institution in 1 country.

Giulia RioloDepartment of Medical, Surgical and Neurological Sciences, University of Siena, 53100 Siena, Italy.
Silvia CantaraDepartment of Medical, Surgical and Neurological Sciences, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-5741-295X
Claudia RicciDepartment of Medical, Surgical and Neurological Sciences, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-2431-0308
University of Siena · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alternative splicing (AS) is a crucial process to enhance gene expression driving organism development. Interestingly, more than 95% of human genes undergo AS, producing multiple protein isoforms from the same transcript. Any alteration (e.g., nucleotide substitutions, insertions, and deletions) involving consensus splicing regulatory sequences in a specific gene may result in the production of aberrant and not properly working proteins. In this review, we introduce the key steps of splicing mechanism and describe all different types of genomic variants affecting this process (splicing variants in acceptor/donor sites or branch point or polypyrimidine tract, exonic, and deep intronic changes). Then, we provide an updated approach to improve splice variants detection. First, we review the main computational tools, including the recent Machine Learning-based algorithms, for the prediction of splice site variants, in order to characterize how a genomic variant interferes with splicing process. Next, we report the experimental methods to validate the predictive analyses are defined, distinguishing between methods testing RNA (transcriptomics analysis) or proteins (proteomics experiments). For both prediction and validation steps, benefits and weaknesses of each tool/procedure are accurately reported, as well as suggestions on which approaches are more suitable in diagnostic rather than in clinical research.

Indexed as

alternative splicingexperimental validationmachine learningprediction toolssplice variantsplicing sitesvariant classification

Identifiers

PMID34564308
PMCPMC8482176
OpenAlexW3197006111

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.