SynthesisBMC genomics2017
Transcriptomic responses to wounding: meta-analysis of gene expression microarray data.
Synthesis in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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
11 citing papers in PubMed.
- Gene expression dynamics in wound healing: Comparative analysis between the wound edge and center.PloS one · 2026Article
- Understanding and Advancing Wound Healing in the Era of Multi-Omic Technology.Bioengineering (Basel, Switzerland) · 2025Review
- Non-Coding RNAs and Their Role in Maintaining Epidermal Homeostasis.Current issues in molecular biology · 2025Review
- The role of multi-omics in biomarker discovery, diagnosis, prognosis, and therapeutic monitoring of tissue repair and regeneration processes.Journal of orthopaedic translation · 2025Review
- A multifunctional photothermal electrospun PLGA/MoSRegenerative biomaterials · 2025Article
- Robust classification of wound healing stages in both mice and humans for acute and burn wounds based on transcriptomic data.BMC bioinformatics · 2023Article
- Association of circulating gene expression signatures with stiffness following total knee arthroplasty for osteoarthritis: a pilot study.Scientific reports · 2022Article
- Regenerative Drug Discovery Using Ear Pinna Punch Wound Model in Mice.Pharmaceuticals (Basel, Switzerland) · 2022Article
- RNAseq analysis of treatment-dependent signaling changes during inflammation in a mouse cutaneous wound healing model.BMC genomics · 2021Article
- Investigating Transcriptional Dynamics Changes and Time-Dependent Marker Gene Expression in the Early Period After Skeletal Muscle Injury in Rats.Frontiers in genetics · 2021Article
- The quest for improving the management of breast cancer by functional imaging: The discovery and development of 16α-[Nuclear medicine and biology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA vast amount of microarray data on transcriptomic response to injury has been collected so far. We designed the analysis in order to identify the genes displaying significant changes in expression after wounding in different organisms and tissues. This meta-analysis is the first study to compare gene expression profiles in response to wounding in as different tissues as heart, liver, skin, bones, and spinal cord, and species, including rat, mouse and human.
resultsWe collected available microarray transcriptomic profiles obtained from different tissue injury experiments and selected the genes showing a minimum twofold change in expression in response to wounding in prevailing number of experiments for each of five wound healing stages we distinguished: haemostasis & early inflammation, inflammation, early repair, late repair and remodelling. During the initial phases after wounding, haemostasis & early inflammation and inflammation, the transcriptomic responses showed little consistency between different tissues and experiments. For the later phases, wound repair and remodelling, we identified a number of genes displaying similar transcriptional responses in all examined tissues. As revealed by ontological analyses, activation of certain pathways was rather specific for selected phases of wound healing, such as e.g. responses to vitamin D pronounced during inflammation. Conversely, we observed induction of genes encoding inflammatory agents and extracellular matrix proteins in all wound healing phases. Further, we selected several genes differentially upregulated throughout different stages of wound response, including established factors of wound healing in addition to those previously unreported in this context such as PTPRC and AQP4.
conclusionsWe found that transcriptomic responses to wounding showed similar traits in a diverse selection of tissues including skin, muscles, internal organs and nervous system. Notably, we distinguished transcriptional induction of inflammatory genes not only in the initial response to wounding, but also later, during wound repair and tissue remodelling.
Indexed as
Identifiers
What OpenQuestion holds
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.