Usp5 belongs to the USP family of deubiquitinating enzymes (DUBs), which comprises the largest class of DUBs. We previously reported that loss of Usp5 impairs development of photoreceptors in Drosophila eyes, although the detailed mechanism remained unclear. In the present study, we demonstrate that Usp5 regulates both Notch and receptor tyrosine kinase (RTK) signaling. Loss of Usp5 results in upregulation of Notch signaling and downregulation of RTK signaling, leading to impaired photoreceptor development. Moreover, genetic rescue experiments with the DNA binding protein Suppressor of Hairless or Notch RNAi indicate that they mediate the regulation of RTK signaling by Usp5. The present study provides mechanistic insight into how Usp5 regulates photoreceptor differentiation by Notch and RTK signaling in the Drosophila eye.
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http://dx.doi.org/10.1002/1873-3468.12580 | DOI Listing |
Exp Cell Res
December 2024
Medical Biotechnology lab, Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute (CHRI), Chettinad Academy of Research and Education (CARE), Rajiv Gandhi Salai (OMR), Kelambakkam, Chennai, Tamil Nadu, 603 103, India. Electronic address:
Colon cancer is the leading cause of cancer-related deaths worldwide. MicroRNAs (miRNAs) are key regulators of gene expression, often dysregulated in colon cancer. This study aims to elucidate the therapeutic role of miR-134-5p as a tumor suppressor miRNA in colon cancer cells.
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Medical Biochemistry and Molecular Biology Department, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.
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View Article and Find Full Text PDFbioRxiv
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Department of Orthopaedic Surgery, University of California - San Francisco, San Francisco, California, USA.
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View Article and Find Full Text PDFCancer Cell Int
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Department of Chemical Engineering, Universitas Muhammadiyah Surakarta, Surakarta, Indonesia.
1'-Acetoxychavicol acetate (ACA) eliminates breast cancer cells via the HER2/MAPK/ERK1/2 and PI3K/AKT pathways, and it also directly influences endocrine resistance by both enhancing pro-apoptotic signals and suppressing pro-survival molecules. This study utilized bioinformatics to assess ACA target genes for lapatinib-resistant breast cancer. We identified differentially expressed genes (DEGs) using GSE16179 microarray data.
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