Exploring Co-expression Modules-traits Correlation Through Weighted Gene Co-expression Network Analysis: A Promising Approach in Wound Healing Research

سال انتشار: 1403
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 50

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شناسه ملی سند علمی:

WTRMED11_138

تاریخ نمایه سازی: 14 خرداد 1404

چکیده مقاله:

The skin is the biggest organ in the body and has several important functions in protection and regulation. However, wound development can disrupt the natural healing process, leading to challenges such as chronic wounds, persistent infections, and impaired angiogenesis. These issues not only affect individuals' well-being but also pose significant economic burdens on healthcare systems. Despite advancements in wound care research, managing chronic wounds remains a pressing concern, with obstacles such as persistent infection and impaired angiogenesis hindering the healing process. Understanding the complex genetic pathways involved in wound healing is crucial for developing effective therapeutic strategies and reducing the socio-economic impact of chronic wounds. Weighted Gene Co-Expression Network Analysis (WGCNA) offers a promising approach to uncovering key genes and modules associated with different stages of wound healing, providing valuable insights for targeted interventions to enhance tissue repair and promote efficient wound healing.

کلیدواژه ها:

Wound healing ، Weighted Gene Co-Expression Network Analysis ، Co-expression modules ، Hub genes ، Functional analysis

نویسندگان

Mansoureh Farhangniya

Health Metrics Research Center, Iranian Institute for Health Sciences Research, ACECR, Tehran, Iran

Ali Samadikuchaksaraei

Iran University of Medical Sciences

Farzaneh Mohamadi Farsani

Department of Biology, Naghshejahan Higher Education Institute, Isfahan, Iran