Recombinant Canine Matrix Metalloproteinase-13: Expression, Functional Characterization and Application in Sandwich ELISA for Canine Mammary Carcinoma Detection.
Mamta PandeyB. V. Sunil KumarDipak DekaKuldip GuptaAshwani KumarRamneek Verma
Sep 2026· Protein Expression and Purification· pp.
107004
· 0 citations· 50 references
Medicine
TL;DR
It is demonstrated that MMP-13 is overexpressed in canine mammary carcinomas and suggested that MMP-13 protein has the potential to serve as an additional candidate biomarker for the detection of canine mammary carcinomas.
Abstract
Matrix metalloproteinase-13 (MMP-13), a key regulator of extracellular matrix remodeling, has been implicated in tumor invasion and metastasis. This study investigated MMP-13 expression in canine mammary carcinomas (CMTs) and evaluated its diagnostic potential. MMP-13 mRNA and protein expression were assessed by quantitative real-time PCR and immunohistochemistry, respectively. Compared with healthy mammary tissues (n = 10), CMT tissues (n = 27) exhibited a significant 6.63 ± 0.70-fold upregulation of MMP-13 transcripts (p ≤ 0.05). A recombinant canine MMP-13 was produced (55 kDa approx.), functionally validated by zymography and cell invasion assay, and used to develop a sandwich ELISA. The assay demonstrated excellent diagnostic performance, distinguishing tumor-bearing dogs from healthy controls with an area under the receiver operating characteristic curve of 0.968, 96.30% sensitivity, and 88.60% specificity. Immunohistochemistry showed strong MMP-13 expression in 70.37% of canine mammary carcinomas. These findings demonstrate that MMP-13 is overexpressed in canine mammary carcinomas and suggest that MMP-13 protein has the potential to serve as an additional candidate biomarker for the detection of canine mammary carcinomas. However, further validation in a larger set of samples is warranted.
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al.· Journal of Systems and Softw...· 111 citations· ⚡8
This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6
This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.
D. Graziotin, Xiaofeng Wang, P. Abrahamsson· SSE@SIGSOFT FSE· 56 citations· ⚡4
This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.
Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson· International Conference on...· 44 citations· ⚡5
It is demonstrated that linker-free PROTACs can outperform traditional designs, marking a paradigm shift in PROTAC development for targeted protein degradation.
Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.