Extracellular Matrix Biomarker Discovery for Psoriasis
The identification of extracellular matrix (ECM) biomarkers could provide invaluable insights into psoriasis pathogenesis, enabling earlier detection and more effective intervention strategies. Ace Therapeutics provides a comprehensive suite of services to support our clients in the discovery of novel ECM biomarkers for psoriasis.
Introduction to ECM Biomarker Discovery
The ECM is an intricate network of proteins and carbohydrates that not only provides structural support, but also plays a crucial role in cell signaling and tissue homeostasis. In psoriasis, the ECM undergoes significant remodeling, affecting skin integrity and function. Recent advancements in biomarker discovery have highlighted the importance of the ECM in modulating immune responses and tissue homeostasis in psoriasis. For instance, specific collagen fragments, laminins, and matrix metalloproteinases (MMPs) have been identified as potential biomarkers in psoriatic tissue, providing insights into the underlying mechanisms of inflammation and tissue remodeling.
Fig. 1 ECM changes in skin inflammation. (Pfisterer K, et al., 2021)
Comprehensive ECM Biomarker Discovery for Psoriasis
At Ace Therapeutics, we offer a comprehensive suite of services to help our clients identify and validate novel psoriasis-related ECM biomarkers. By delving into the dynamic changes within the ECM, we empower our clients to quantify the intricate changes occurring across the distinct layers of the skin, from the epidermis to the dermis and subcutis.
Omics-Based Biomarker Identification
- Proteomics Analysis: Utilize high-resolution mass spectrometry to identify differentially expressed ECM proteins in psoriatic skin.
- Genomic Sequencing: Leverage next-generation sequencing technologies to uncover variations that may contribute to genetic susceptibility to psoriasis
Protein and Gene Expression Profiling
- Immunohistochemical Analysis: Assess differential expression of key ECM-related proteins.
- Real-Time PCR (RT-qPCR): Identify the mRNA expression patterns of ECM-associated genes.
Biomarker Validation
- Independent Sample Cohort Analysis: Confirm the consistency and reproducibility of biomarker findings.
- Orthogonal Analytical Techniques: Corroborate the protein expression data using methods such as Western blot and ELISA.
- Longitudinal Studies: Assess the utility of ECM biomarkers in monitoring disease progression.
Preclinical Model Development
- In Vivo Models: Develop and utilize mouse models that recapitulate pathological features of human psoriasis.
- Ex Vivo Cultures: Use skin explants to study ECM dynamics in a controlled environment.
- 3D Skin Models: Utilize tissue engineering techniques to generate realistic skin constructs for preclinical research.
At Ace Therapeutics, we provide end-to-end solutions for the discovery and validation of ECM biomarkers in psoriasis research. We are committed to supporting psoriasis research by leveraging our deep expertise in extracellular matrix biology and our comprehensive biomarker discovery services. Contact us today to learn more about our specialized services and how we can tailor our offerings to meet your unique research needs.
Reference
- Pfisterer K, et al. The Extracellular Matrix in Skin Inflammation and Infection. Front Cell Dev Biol. 2021;9:682414.