Evidence map›Paper›PMID 41527044›Full record

ArticleBMC bioinformatics2026

Limblab: pipeline for 3D analysis and visualisation of limb bud gene expression.

Laura Aviñó-Esteban, Heura Cardona-Blaya, Marco Musy, Antoni Matyjaszkiewicz, James Sharpe, Giovanni Dalmasso

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Article in BMC bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Laura Aviñó-EstebanEuropean Molecular Biology Laboratory (EMBL-Barcelona), 08003, Barcelona, Spain. laura.avino@embl.es.ORCID http://orcid.org/0000-0003-3847-8598
Heura Cardona-BlayaEuropean Molecular Biology Laboratory (EMBL-Barcelona), 08003, Barcelona, Spain.ORCID http://orcid.org/0000-0003-1766-6012
Marco MusyEuropean Molecular Biology Laboratory (EMBL-Barcelona), 08003, Barcelona, Spain.ORCID http://orcid.org/0000-0002-3364-8909
Antoni MatyjaszkiewiczEuropean Molecular Biology Laboratory (EMBL-Barcelona), 08003, Barcelona, Spain.ORCID http://orcid.org/0000-0002-8647-5773
James SharpeEuropean Molecular Biology Laboratory (EMBL-Barcelona), 08003, Barcelona, Spain. james.sharpe@embl.es.ORCID http://orcid.org/0000-0002-1434-9743
Giovanni DalmassoDepartment of Mathematics and Data Analysis, IQS, Universitat Ramon Llull, 08017, Barcelona, Spain.ORCID http://orcid.org/0000-0002-8586-6027

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough some aspects of limb development can be treated as a 2D problem, a true understanding of the morphogenesis and patterning requires 3D analysis. Since the data on gene expression patterns are largely static 3D image stacks, a major challenge is an efficient pipeline for staging each data-set, and then aligning and warping the data into a standard atlas for convenient visualisation.

resultsWe present a novel bioinformatic pipeline tailored for 3D visualization and analysis of developing limb buds. The pipeline integrates key steps such as data acquisition, volume cleaning, surface extraction, staging, alignment, and advanced visualization techniques. Its modular design allows researchers to customize workflows while maintaining compatibility with tools such as Fiji and Vedo. The pipeline can be accessed at https://github.com/LauAvinyo/limblab .

conclusionsThe pipeline advances 3D gene expression analysis in limb development by integrating flexible tools for staging, alignment, and visualization. It is user-friendly, scalable to other samples, and optimized for research needs. Future updates will enhance customization and expand applicability to other species and developmental biology fields.

Indexed as

Computational BiologyGene Expression ProfilingImaging, Three-DimensionalLimb BudsSoftwareAnimalsGene Expression Regulation, Developmental3D visualizationBioinformatics pipelineGene expression analysisLimb development

Identifiers

PMID41527044
PMCPMC12794269

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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.