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Systematic evaluation of isoform function in literature reports of alternative splicing

10.1101/303412Source: DataRank Database

Systematic evaluation of isoform function in literature reports of alternative splicing is a research paper. On theSindex it has a DataRank of 0.343. It has been cited 6 times, with 6 citing works in its 1-hop citation network.

N/A
0.343DataRank · unranked
0.343
6 citations · base score 1.9
Cite:
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Abstract

ABSTRACT Although most mammalian genes have multiple isoforms, an ongoing debate is whether these isoforms are all functional as well as the extent to which they increase the genome’s functional repertoire. To ground this debate in data, we established a curation framework for evaluating experimental evidence of functionally distinct splice isoforms (FDSIs) and analyzed splice isoform function for over 700 human and mouse genes. Despite our bias towards prominently studied genes, we found experimental evidence meeting the classical definition for functionally distinct isoforms for only ~5% of the curated genes. If we relax our criteria, the fraction of genes with support for FDSIs remains low (~13%). We provide evidence that this picture will not change substantially with further curation. Furthermore, many FDSIs did not trace to a specific isoform in Ensembl. Our work has implications for computational analyses of alternative splicing and should help shape research around the role of splicing on gene function from presuming large general effects to acknowledging the need for stronger experimental evidence.

Data sources & pipeline
Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring
Enrichment:Pending

FAIR Checklist

Context only (not used in score)
Findable (1/2)
  • Has DOI
Accessible (0/2)
    Interoperable (0/2)
      Reusable (0/3)

        FAIR checklist signals are shown for context only and do not affect DataRank scoring.

        DataRank Breakdown

        Base Score 85%Citation Network 15%

        Base Score Contribution

        0.292

        From this paper's citation signal

        Citation Network Contribution

        0.0513

        From 3 citing papers with measurable signal

        Learn more about DataRank methodology →

        Top 4 citers driving the network score

        Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.

        1. The Genotype-Tissue Expression (GTEx) project
          Nature Genetics20139,949 citationsDataRank 18.2Top 8%
        2. The Ensembl gene annotation system
          Database20161,226 citationsDataRank 13.2Top 15%
        3. Drift and conservation of differential exon usage across tissues in primate species
          Proceedings of the National Academy of Sciences2013146 citationsDataRank 5.1
        4. The Deubiquitylase USP5 Knockdown Reduces Semliki Forest Virus Replication in HeLa Cells
          Sultan Qaboos University Journal For Science20252 citationsDataRank 0.165
        Why this DataRank?

        DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 85% comes from its base citations and 15% from the citation network (3 citing papers contributed measurable signal).

        Base score B(p)
        log1p(citation_count) — grows sub-linearly, so a paper with 1,000 citations is not 10× a paper with 100.
        Network N(p)
        Σ over citers of log1p(Cq) ÷ max(outdegreeq, 1). Being cited by a highly-cited paper with few references counts most.
        Damping factor d = 0.85
        DataRank = (1−d)·B(p) + d·N(p) — the two cards above are each already multiplied by their share.
        Self-citations excluded
        Citers sharing any OpenAlex author ID with this paper are filtered out before the network sum.

        Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.

        Read the full methodology →

        Click a node to highlight its connections. Use scroll to zoom. Drag to pan.

        Node colors:CenterData PaperData + Open AccessNon-dataSelected & links| Node size = percentile rank

        Authors (8)

        Sophia Ly,Minh Phan,Brandon Huntington,Ellie Hogan,Chao Chun Liu

        Related Papers (10)

        Journal of General Virology(2015)
        co-cited
        10.1099/jgv.0.000249
        Applied cancer research/Applied Cancer Research(2018)
        OpenAlex related
        10.1186/s41241-018-0068-6
        Proceedings Genome Informatics Workshop/Genome informatics(2002)
        OpenAlex related
        10.11234/gi1990.13.426