Introduction: Heavy metal-associated isoprenylated plant proteins (HIPPs) play vital roles in metal absorption, transport and accumulation in plants. However, so far, only several plant HIPPs have been functionally analyzed. In this study, a novel HIPP member , which was involved in the tolerance to copper (Cu) was functionally characterized.
Methods: In this study, qRT-PCR, Yeast transgenic technology, Plant transgenic technology, ICP-MS and so on were used for research.
Results: OsHIPP17 protein was targeted to the nucleus. The Cu concentration reached 0.45 mg/g dry weight due to the overexpression of in yeast cells. Meanwhile, the overexpression of resulted in the compromised growth of () under Cu stress. The root length of mutant lines was also significantly reduced by 16.74- 24.36% under 25 mM Cu stress. The roots of rice mutant showed increased Cu concentration by 7.25%-23.32%. Meanwhile, knockout of OsHIPP17 decreased the expression levels of , , or , and increased the expression levels of or . Antioxidant enzyme activity was also reduced in rice due to the knockout of . Moreover, the expression levels of cytokinin-related genes in plants under Cu stress were also affected by overexpression or knockout of .
Discussion: These results implied that might play a role in plant Cu toxic response by affecting the expression of Cu transport genes or cytokinin-related genes. Simultaneously, our work may shed light on the underlying mechanism of how heavy metals affect the plant growth and provide a novel rice genetic source for phytoremediation of heavy metal-contaminated soil.
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http://dx.doi.org/10.3389/fpls.2023.1183445 | DOI Listing |
Acta Neuropathol Commun
January 2025
Hopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany.
Recent genomic studies have allowed the subdivision of intracranial ependymomas into molecularly distinct groups with highly specific clinical features and outcomes. The majority of supratentorial ependymomas (ST-EPN) harbor ZFTA-RELA fusions which were designated, in general, as an intermediate risk tumor variant. However, molecular prognosticators within ST-EPN ZFTA-RELA have not been determined yet.
View Article and Find Full Text PDFBiol Direct
January 2025
Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, 610041, China.
Background: Liquid-liquid phase separation (LLPS) is essential for the formation of membraneless organelles and significantly influences cellular compartmentalization, chromatin remodeling, and gene regulation. Previous research has highlighted the critical function of liquid-liquid biopolymers in the development of hepatocellular carcinoma (HCC).
Methods: This study conducted a comprehensive review of 3,685 liquid-liquid biopolymer regulators, leading to the development of a LLPS related Prognostic Risk Score (LPRS) for HCC through bootstrap-based univariate Cox, Random Survival Forest (RSF), and LASSO analyses.
BMC Oral Health
January 2025
Department of Stomatology, People's Hospital of Xinjiang Autonomous Region, Urumqi City, China.
Background: The progression and severity of periodontitis (PD) are associated with the release of extracellular vesicles by periodontal tissue cells. However, the precise mechanisms through which exosome-related genes (ERGs) influence PD remain unclear. This study aimed to investigate the role and potential mechanisms of key exosome-related genes in PD using transcriptome profiling at the single-cell level.
View Article and Find Full Text PDFRespir Res
January 2025
Department of Anesthesiology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, 210011, Jiangsu Province, China.
Background: Sepsis is a systemic inflammatory response caused by infection. When this inflammatory response spreads to the lungs, it can lead to acute lung injury (ALI) or more severe acute respiratory distress syndrome (ARDS). Pulmonary fibrosis is a potential complication of these conditions, and the early occurrence of pulmonary fibrosis is associated with a higher mortality rate.
View Article and Find Full Text PDFBMC Med Imaging
January 2025
Electronics and Communications, Arab Academy for Science, Heliopolis, Cairo, 2033, Egypt.
Invasive breast cancer diagnosis and treatment planning require an accurate assessment of human epidermal growth factor receptor 2 (HER2) expression levels. While immunohistochemical techniques (IHC) are the gold standard for HER2 evaluation, their implementation can be resource-intensive and costly. To reduce these obstacles and expedite the procedure, we present an efficient deep-learning model that generates high-quality IHC-stained images directly from Hematoxylin and Eosin (H&E) stained images.
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