1. Chin, C. H., Chen, S. H., Wu, H. H., Ho, C. W., Ko, M. T., & Lin, C. Y. (2014). cytoHubba: identifying hub objects and sub-networks from complex interactome. BMC Systems Biology, 8(Suppl 4), S11. [
DOI:10.1186/1752-0509-8-S4-S11]
2. Duarte, C. M., Freitas, P. P., & Bexiga, R. (2015). Technological advances in bovine mastitis diagnosis: an overview. Journal of Veterinary Diagnostic Investigation, 27(6), 665-672. [
DOI:10.1177/1040638715603087]
3. Farhangfar, & Behdani, H. (2018). Identification of microRNAs, target genes and signaling pathways related to milk production using RNA-seq. Ruminant Research Journal, 5(4), 73-86. [
DOI:10.22069/ejrr.2017.13918.1582]
4. Guerra, C., Johal, K., Morris, D., Moreno, S., Alvarado, O., Gray, D., Tanzil, M., Pearce, D., & Venketaraman, V. (2012). Control of Mycobacterium tuberculosis growth by activated natural killer cells. Clinical & Experimental Immunology, 168(1), 142-152. [
DOI:10.1111/j.1365-2249.2011.04552.x]
5. Jaiswal, S., Jagannadham, J., Kumari, J., Iquebal, M. A., Gurjar, A. K. S., Nayan, V., Angadi, U. B., Kumar, S., Kumar, R., & Datta, T. K. (2021). Genome wide prediction, mapping and development of genomic resources of mastitis associated genes in water buffalo. Frontiers in Veterinary Science, 8, 593871. [
DOI:10.3389/fvets.2021.593871]
6. Jensen, K., Günther, J., Talbot, R., Petzl, W., Zerbe, H., Schuberth, H. J., Seyfert, H. M., & Glass, E. J. (2013). Escherichia coli-and Staphylococcus aureus-induced mastitis differentially modulate transcriptional responses in neighbouring uninfected bovine mammary gland quarters. BMC Genomics, 14(1), 36. [
DOI:10.1186/1471-2164-14-36]
7. Lawless, N., Foroushani, A. B. K., McCabe, M. S., O'Farrelly, C., & Lynn, D. J. (2013). Next generation sequencing reveals the expression of a unique miRNA profile in response to a gram-positive bacterial infection. PloS One, 8(3), e57543. [
DOI:10.1371/journal.pone.0057543]
8. Leyva‐Baca, I., Schenkel, F., Sharma, B. S., Jansen, G. B., & Karrow, N. A. (2007). Identification of single nucleotide polymorphisms in the bovine CCL2, IL8, CCR2 and IL8RA genes and their association with health and production in Canadian Holsteins. Animal Genetics, 38(3), 198-202. [
DOI:10.1111/j.1365-2052.2007.01588.x]
9. Li, W., Li, C., Lu, J., & Zhao, Y. (2020). MiR-145 is involved in the proliferation of bovine mammary epithelial cells and regulates bovine insulin receptor substrate 1. Italian Journal of Animal Science, 19(1), 536-543. [
DOI:10.1080/1828051X.2020.1732234]
10. Mitterhuemer, S., Petzl, W., Krebs, S., Mehne, D., Klanner, A., Wolf, E., Zerbe, H., & Blum, H. (2010). Escherichia coli infection induces distinct local and systemic transcriptome responses in the mammary gland. BMC Genomics, 11(1), 138. [
DOI:10.1186/1471-2164-11-138]
11. Naserkheil, M., Ghafouri, F., Zakizadeh, S., Pirany, N., Manzari, Z., Ghorbani, S., Banabazi, M. H., Bakhtiarizadeh, M. R., Huq, M. A., & Park, M. N. (2022). Multi-omics integration and network analysis reveal potential hub genes and genetic mechanisms regulating bovine mastitis. Current Issues in Molecular Biology, 44(1), 309-328. [
DOI:10.3390/cimb44010023]
12. Ogorevc, J., Kunej, T., Razpet, A., & Dovc, P. (2009). Database of cattle candidate genes and genetic markers for milk production and mastitis. Animal Genetics, 40(6), 832-851. [
DOI:10.1111/j.1365-2052.2009.01921.x]
13. Raufian, P., Shodja Ghyas, J., Jafari, R., Moghaddam, G., & Javanmard, A. (2018). Identification of genetic variation in two candidate genes of TLR2 and TNFα and its association with mastitis in Holstain Cattle. Research on Animal Production, 8(18), 147-154. [In Persian] [
DOI:10.29252/rap.8.18.147]
14. Roussel, P., Cunha, P., Porcherie, A., Petzl, W., Gilbert, F. B., Riollet, C., Zerbe, H., Rainard, P., & Germon, P. (2015). Investigating the contribution of IL-17A and IL-17F to the host response during Escherichia coli mastitis. Veterinary Research, 46(1), 56. [
DOI:10.1186/s13567-015-0201-4]
15. Sharifi, S., Pakdel, A., Ebrahimi, M., Reecy, J. M., Fazeli Farsani, S., & Ebrahimie, E. (2018). Integration of machine learning and meta-analysis identifies the transcriptomic bio-signature of mastitis disease in cattle. PLoS One, 13(2), e0191227. [
DOI:10.1371/journal.pone.0191227]
16. Shirazi, B. S., Rabbani, V., Safi, S., Bolourchi, M., & Ameri, M. (2011). Determination of the diagnostic value of positive and negative acute phase proteins of the milk as new and reliable biomarkers in bovine subclinical mastitis. Journal of Veterinary Clinical Research, 2(2), 74-87.
17. Veshkini, A., Hammon, H. M., Lazzari, B., Vogel, L., Gnott, M., Tröscher, A., Vendramin, V., Sadri, H., Sauerwein, H., & Ceciliani, F. (2022). Investigating circulating miRNA in transition dairy cows: What miRNAomics tells about metabolic adaptation. Frontiers in Genetics, 13, 946211. [
DOI:10.3389/fgene.2022.946211]
18. Zhang, W., Li, X., Xu, T., Ma, M., Zhang, Y., & Gao, M. Q. (2016). Inflammatory responses of stromal fibroblasts to inflammatory epithelial cells are involved in the pathogenesis of bovine mastitis. Experimental Cell Research, 349(1), 45-52. [
DOI:10.1016/j.yexcr.2016.09.016]