Evidence map›Paper›PMID 40357659›Full record

ArticleNucleic acids research2025

DIGITtally-a new tool for streamlining and simplifying Drosophila melanogaster meta-analysis.

Andrew Gillen, Shannon Keenan, Maiken Skov, Mehwish Akram, Shireen A Davies, Julian A T Dow

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Andrew GillenSchool of Molecular Biosciences, University of Glasgow, Glasgow G12 8QQ, United Kingdom.ORCID 0000-0003-4155-0335
Shannon KeenanSchool of Molecular Biosciences, University of Glasgow, Glasgow G12 8QQ, United Kingdom.
Maiken SkovSchool of Molecular Biosciences, University of Glasgow, Glasgow G12 8QQ, United Kingdom.
Mehwish AkramSchool of Molecular Biosciences, University of Glasgow, Glasgow G12 8QQ, United Kingdom.
Shireen A DaviesSchool of Molecular Biosciences, University of Glasgow, Glasgow G12 8QQ, United Kingdom.
Julian A T DowSchool of Molecular Biosciences, University of Glasgow, Glasgow G12 8QQ, United Kingdom.

Funding

Biotechnology and Biological Sciences Research Council BB/W002442/1
6 · The paper itself

Abstract

Drosophila melanogaster has one of the deepest research bases within the life sciences, with a wealth of high-quality tissue- and cell type-specific transcriptomic data available. However, integrating large datasets derived from disparate sources is not trivial. We have designed a broadly applicable solution to this problem in the form of the Drosophila Interesting Genes in Individual Tissues-tally (DIGITtally) system. It is freely available online at www.digittally.org. DIGITtally is customizable and hypothesis-free, allowing meta-analysis across the Drosophila research space along with analysis of conservation in other species, querying 10 data sources for seven indicators of tissue-specific activity. We have applied DIGITtally to a pertinent question within entomology-that is, whether a specific pattern of gene expression underlies the transporting activity of epithelial tissues (an 'epitheliome'). By using DIGITtally to survey gene expression throughout the tissues comprising the D. melanogaster alimentary canal (salivary gland, midgut, Malpighian tubules, and hindgut), we have verified the existence of a specific 'epithelial' vacuolar-type ATPase configuration.

Indexed as

Drosophila melanogasterSoftwareAnimalsDrosophila ProteinsGene Expression ProfilingOrgan SpecificityTranscriptomeDrosophila Proteins

Identifiers

PMID40357659
PMCPMC12230737

What OpenQuestion holds

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Registered trials

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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.