Ask about this productRelated genes to: EMID1 antibody
- Gene:
- EMID1 NIH gene
- Name:
- EMI domain containing 1
- Previous symbol:
- -
- Synonyms:
- EMU1, hEmu1, EMI5
- Chromosome:
- 22q12.2
- Locus Type:
- gene with protein product
- Date approved:
- 2004-03-02
- Date modifiied:
- 2015-09-11
Related products to: EMID1 antibody
Related articles to: EMID1 antibody
- - Source: PubMed
Publication date: 2026/08/21
Qin ShutingWei TengMo JunyangLu LinjieChai XiaoHuang QingyunQi ShuyaTan Guohe - EMID1 and EMID2 (also known as type XXVI collagen) are extracellular matrix (ECM) proteins that belong to the EDEN gene superfamily. Both proteins feature EMI domains, implicating them in protein-protein interactions and ECM remodeling. Despite structural similarities EMID1 and EMID2 have distinct functions with EMID1 primarily expressed in epithelial cells and EMID2 in mesenchymal cells. Previous studies have shown that while EMID1 could promote metastasis EMID2 might inhibit tumor growth and dissemination. - Source: PubMed
Publication date: 2026/04/03
Crespo-Bravo MarinaSyversen Sine RThorlacius-Ussing JeppeBoisen Mogens KLiljefors MariaJohansen Julia SKarsdal Morten AWillumsen Nicholas - Energy balance (EB) can be an important health indicator in dairy cows because a severe or prolonged period of negative energy balance is a key risk factor for metabolic disorders, impaired immune function, and reduced fertility. Understanding the biological mechanisms of EB is fundamental to developing strategies that improve energy intake, mitigate negative energy balance, and enhance the management of metabolic challenges in dairy cows. This study employed whole-blood transcriptomic as a scalable approach to unravel the molecular networks governing EB in early-lactation Holstein cows. Whole-blood RNA sequencing analysis during early lactation (24-32 d postcalving) identified 26 differentially expressed genes associated with EB. These genes were found to be engaged in pathways critical to metabolic adaptation, including PPAR signaling (PRDM16), extracellular matrix organization (COL18A1, EMID1), and cell fate commitment (SOX13, WNT5A). Weighted gene coexpression network analysis identified a key module (87 genes) strongly correlated with EB. Protein-protein interaction networks further connected DBN1 to cytoskeletal signaling (L1CAM, AMPH) and COL18A1 to WNT-integrin signaling (LAMA4, PTK2), suggesting novel mechanisms for systemic stress adaptation. These findings advance the understanding of EB as a polygenic trait characterized by multitissue interactions and proposes actionable markers that can be applied to dairy cow management as targets for genetic selection to improve metabolic resilience. Future work will seek to validate these findings using tissue-specific analyses, and functional assays to elucidate mechanistic roles of prioritized genes. - Source: PubMed
Publication date: 2026/03/17
Jiang WentaoChacko Kaitholil Steffimol RoseRazban VahidFerris ConradMooney Mark HShirali Masoud - The corpus callosum, a major white matter tract in the brain, undergoes age-related functional changes. To extend our investigation of age-related gene expression dynamics in the mouse corpus callosum, we compared RNA-seq data from 2 week-old and 12 week-old wild-type C57BL/6 J mice and identified the differentially expressed genes (e.g., Marcksl1, Chst3, C4b, Neat1, Ndrg1, Emid1, etc.) between these ages. Interestingly, we found that genes highly expressed in myelinating oligodendrocytes were upregulated in 12 week-old mice compared to 2 week-old mice, while genes highly expressed in oligodendrocyte precursor cells (OPCs) and newly formed oligodendrocytes were downregulated. Furthermore, by comparing these genes with the datasets from 20 week-old and 96 week-old mice, we identified novel sets of genes with age-dependent variations in the corpus callosum. These gene expression changes potentially affect key biological pathways and may be closely linked to age-related neurological disorders, including dementia and stroke. Therefore, our results provide an additional dataset to explore age-dependent gene expression dynamics of oligodendrocyte lineage cells in the corpus callosum. - Source: PubMed
Publication date: 2024/09/27
Hoshino TomonoriTakase HajimeHamanaka GenKimura ShintaroFukuda NoritoMandeville Emiri TLok JosephineLo Eng HArai Ken - In recent years, the incidence of breast cancer has gradually increased, and the research on it has become a hot spot in the scientific community. Central neurons play an important role in breast cancer. This study aims to explore the application of gene expression profile data mining in the study of shared function between central neurons and breast cancer, and focuses on the expression of EMID1 protein antibody. The study collected biomedical images and gene expression profile data of breast cancer patients. Then, we use image processing and analysis technology to extract and analyze features of biomedical images to obtain quantitative features of breast cancer. Gene expression profile data were preprocessed and analyzed to obtain information about breast cancer related genes. Integrating and fusing biomedical images and gene expression profile data, and exploring the sharing function between central neurons and breast cancer through data mining algorithms and statistical analysis methods. The results showed that the expression of EMID1 protein was high in breast cancer tissues, and the expression pattern was similar to that of central neurons. Further functional studies have shown that EMID1 protein is involved in the regulation of proliferation and invasion of breast cancer cells. By regulating the expression level of EMID1 protein, we observed that the proliferation and invasion ability of breast cancer cells were significantly affected. The research results show that through the comprehensive analysis of biomedical images and gene expression profile data, we found the sharing function between central neurons and breast cancer. The central neuronal cell marker genes EMID1 and GREB1L may be used as key biomarkers to regulate the pathogenesis of breast cancer and affect the occurrence and development of breast cancer. - Source: PubMed
Publication date: 2024/07/31
Qin ShutingWei TengMo JunyangLu LinjieChai XiaoHuang QingyunQi ShuyaTan Guohe