مورد إلكتروني
Robust classification of wound healing stages in both mice and humans for acute and burn wounds based on transcriptomic data.
| العنوان: | Robust classification of wound healing stages in both mice and humans for acute and burn wounds based on transcriptomic data. |
|---|---|
| المؤلفون: | Zlobina, Ksenia |
| المصدر: | BMC bioinformatics; vol 24, iss 1, 166; 1471-2105 |
| بيانات النشر: | eScholarship, University of California 2023-04-01 |
| تفاصيل مُضافة: | Zlobina, Ksenia Malekos, Eric Chen, Han Gomez, Marcella |
| نوع الوثيقة: | Electronic Resource |
| مستخلص: | BackgroundWound healing involves careful coordination among various cell types carrying out unique or even multifaceted functions. The abstraction of this complex dynamic process into four primary wound stages is essential to the study of wound care for timing treatment and tracking wound progression. For example, a treatment that may promote healing in the inflammatory stage may prove detrimental in the proliferative stage. Additionally, the time scale of individual responses varies widely across and within the same species. Therefore, a robust method to assess wound stages can help advance translational work from animals to humans.ResultsIn this work, we present a data-driven model that robustly identifies the dominant wound healing stage using transcriptomic data from biopsies gathered from mouse and human wounds, both burn and surgical. A training dataset composed of publicly available transcriptomic arrays is used to derive 58 shared genes that are commonly differentially expressed. They are divided into 5 clusters based on temporal gene expression dynamics. The clusters represent a 5-dimensional parametric space containing the wound healing trajectory. We then create a mathematical classification algorithm in the 5-dimensional space and demonstrate that it can distinguish between the four stages of wound healing: hemostasis, inflammation, proliferation, and remodeling.ConclusionsIn this work, we present an algorithm for wound stage detection based on gene expression. This work suggests that there are universal characteristics of gene expression in wound healing stages despite the seeming disparities across species and wounds. Our algorithm performs well for human and mouse wounds of both burn and surgical types. The algorithm has the potential to serve as a diagnostic tool that can advance precision wound care by providing a way of tracking wound healing progression with more accuracy and finer temporal resolution compared to visual indicators. This increases |
| مصطلحات الفهرس: | Animals, Humans, Mice, Burns, Inflammation, Gene Expression Profiling, Wound Healing, Transcriptome, Time-series expression, Transcriptomics, Wound healing, Wound stage classification, Genetics, Physical Injury - Accidents and Adverse Effects, Mathematical Sciences, Biological Sciences, Information and Computing Sciences, Bioinformatics, article |
| URL: | |
| الإتاحة: | Open access content. Open access content public |
| ملاحظة: | application/pdf BMC bioinformatics vol 24, iss 1, 166 1471-2105 |
| أرقام أخرى: | CDLER oai:escholarship.org:ark:/13030/qt0z44b9rf qt0z44b9rf https://escholarship.org/uc/item/0z44b9rfTest https://escholarship.orgTest/ 1391577049 |
| المصدر المساهم: | UC MASS DIGITIZATION From OAIster®, provided by the OCLC Cooperative. |
| رقم الانضمام: | edsoai.on1391577049 |
| قاعدة البيانات: | OAIster |
| الوصف غير متاح. |