Wool is one of the most important sheep products and a source of income from sheep breeding, which has a high economic value. The growth and development of sheep's wool are controlled by hair follicles, which are small organs attached to the skin and have complex morphology and structure and periodic growth (He and Zhao,2022). Differentiation of hair follicles is regulated by a variety of signaling pathways including bone morphogenetic protein (BMP), transforming growth factor beta (TGF-β), and Wnt signaling pathways (Li and Chen, 2020). However, our knowledge about the relevant molecular and cellular mechanisms is limited. Therefore, this study was conducted with the aim of investigating molecular changes at the level of protein interactions by constructing and analyzing the protein interaction network of wool production. The data analyzed in this study were extracted from the Arrayexpress database with accession number GSE37400. Cytoscape software and String source were used to construct the interaction network of proteins. Analysis of protein clusters was done by the Sytohubba plugin. The identification of biological pathways related to network complexes was investigated by David software (Sherman, and Hao, 2022). The results of our study showed that the genes forming protein complexes play a role in the process of the hair cycle, development of the skin epidermis, proliferation, and differentiation of epithelial cells. Related genes include 17 genes, these genes have a special relationship with the development of hair follicles, skin, epidermis, and epithelium. The results of biological pathway analysis showed that the above genes are involved in TGF-β, Wnt, Notch, MAPK, and VEGF signaling pathways, and these pathways are related to the development of skin or hair follicles. It seems that the introduced biomarker panel can include 17 identified genes that are effective in better understanding the wool fiber production process, which is one of the most important breeding goals in sheep breeding.