The aim of this study was to test the hypothesis that hepatic vitamin C (VC) levels in VC deficient mice rescued with high doses of VC supplements still do not reach the optimal levels present in wild-type mice. For this, we used a mouse scurvy model (sfx) in which the L-gulonolactone oxidase gene (Gulo) is deleted. Six age- (6 weeks old) and gender- (female) matched wild-type (WT) and sfx mice (rescued by administering 500 mg of VC/L) were used as the control (WT) and treatment (MT) groups (n = 3 for each group), respectively. Total hepatic RNA was used in triplicate microarray assays for each group. EDGE software was used to identify differentially expressed genes and transcriptomic analysis was used to assess the potential genetic regulation of Gulo gene expression. Hepatic VC concentrations in MT mice were significantly lower than in WT mice, even though there were no morphological differences between the two groups. In MT mice, 269 differentially expressed transcripts were detected (≥ twice the difference between MT and WT mice), including 107 up-regulated and 162 down-regulated genes. These differentially expressed genes included stress-related and exclusively/predominantly hepatocyte genes. Transcriptomic analysis identified a major locus on chromosome 18 that regulates Gulo expression. Since three relevant oxidative genes are located within the critical region of this locus we suspect that they are involved in the down-regulation of oxidative activity in sfx mice.
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http://dx.doi.org/10.1590/S1415-47572011005000031 | DOI Listing |
BMC Pulm Med
January 2025
Department of Internal Medicine, Kangwon National University Hospital, Chuncheon, Korea.
Background: Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality worldwide. Single-cell RNA sequencing (scRNA-seq) provides gene expression profiles at the single-cell level. Hence, we evaluated gene expression in the peripheral blood of patients with COPD.
View Article and Find Full Text PDFBMC Plant Biol
January 2025
Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Background: Root rot is a major disease affecting alfalfa (Medicago sativa L.), causing significant yield losses and economic damage. The primary pathogens include Fusarium spp.
View Article and Find Full Text PDFBMC Genomics
January 2025
College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, P. R. China.
Background: Muscle and adipose tissue are the most critical indicators of beef quality, and their development and function are regulated by noncoding RNAs (ncRNAs). However, the differential regulatory mechanisms of ncRNAs in muscle and adipose tissue remain unclear.
Results: In this study, 2,343 differentially expressed mRNAs (DEMs), 235 differentially expressed lncRNAs (DELs), 95 differentially expressed circRNAs (DECs) and 54 differentially expressed miRNAs (DEmiRs) were identified in longissimus dorsi muscle (LD), subcutaneous fat (SF) and perirenal fat (VF) in Qinchuan beef cattle.
Planta
January 2025
School of Life Science, Anhui Agricultural University, 130 Changjiang West Road, Hefei, 230036, People's Republic of China.
Brown cotton and white cotton are two important raw materials used in the cotton fiber industry. Clarifying the differences in morphology, agronomic traits, and fiber pigments between these varieties can facilitate the implementation of corresponding cultivation and breeding techniques. Therefore, we obtained F generation brown cotton plants through hybridization and compared them with their parents.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Research, Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway.
Testicular germ cell tumour (TGCT) is a malignancy with known inherited risk factors, affecting young men. We have previously identified several hundred differentially abundant circulating RNAs in pre-diagnostic serum from TGCT cases compared to healthy controls. In this study, we performed Weighted Gene Co-expression Network Analysis (WGCNA) on mRNA and miRNA data from these samples.
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