ArticleScientific data2025
A high-resolution temporal transcriptomic and imaging dataset of porcine wound healing.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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.
Who cites it
3 citing papers in PubMed.
- Article
- Gene expression dynamics in wound healing: Comparative analysis between the wound edge and center.PloS one · 2026Article
- Porcine Wound Models: The Gold Standard for Translational Research in Cutaneous Healing.Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair SocietyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
Wound healing is a dynamic process involving various cell types. Collecting samples from healing wounds and investigating their transcriptomics can provide deeper insights into the underlying processes. In recent years, several experiments have been conducted to gather transcriptomic data from wounds in both humans and animals. However, the temporal resolution of such data often does not adequately match the dynamics of the process, and spatial aspects are frequently overlooked. Here, we present a dataset collected from an experiment on wound healing in pigs, including gene expression profiles at the wound edge and center, and photographs of the wounds. Photographs provide non-invasive data, and advancements in image analysis using artificial intelligence methods are actively being integrated into medical practice. Being collected within the same experiment, these comprehensive data can aid in building intelligent wound diagnostics and treatment algorithms.
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Registered trials
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.