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Genetic associations of plasma metabolites with immune cells in hyperthyroidism revealed by Mendelian randomization and GWAS-sc-eQTLs xQTLbiolinks analysis.
Sci Rep
January 2025
The Department of General Surgery, Zhongshan City People's Hospital, Zhongshan, 528400, Guangdong Province, China.
Mendelian randomization (MR) was employed to investigate the causal relationships between immune cell phenotypes, hyperthyroidism (HD), and potential metabolic mediators. In this study, we acquired 731 immune cell phenotypes from genome-wide association studies (GWAS) (n = 18,622), HD data from the research by Handan Melike Dönertaş et al. (3,731 cases, 480,867 controls), and aggregated statistics of 1,400 blood metabolites from UK Biobank (n = 115,078).
View Article and Find Full Text PDFDevelopment of Roselle ( L.) Transcriptome-Based Simple Sequence Repeat Markers and Their Application in Roselle.
Plants (Basel)
December 2024
Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Roselle ( L.) simple sequence repeat (SSR) markers were developed using RNA sequencing technology, providing a foundation for genetic analysis and the identification of roselle varieties. In this study, 10 785 unigenes containing 12 994 SSR loci with an average of one SSR locus per 6.
View Article and Find Full Text PDFTranscriptome-Based Gene Modules and Soluble Sugar Content Analyses Reveal the Defense Response of Cotton Leaves to .
Int J Mol Sci
December 2024
The Key Laboratory of Oasis Eco-Agriculture, Agriculture College, Shihezi University, Shihezi 832000, China.
is a soil-borne phytopathogenic fungus causing destructive Verticillium wilt disease that greatly threats cotton production worldwide. The mechanism of cotton resistance to Verticillium wilt is very complex and requires further research. In this study, RNA-sequencing was used to investigate the defense responses of cotton leaves using varieties resistant (Zhongzhimian 2, or Z2) or susceptible (Xinluzao 7, or X7) to .
View Article and Find Full Text PDFDeepQA: A Unified Transcriptome-Based Aging Clock Using Deep Neural Networks.
Aging Cell
January 2025
College of Artificial Intelligence, Nankai University, Tianjin, China.
Understanding the complex biological process of aging is of great value, especially as it can help develop therapeutics to prolong healthy life. Predicting biological age from gene expression data has shown to be an effective means to quantify aging of a subject, and to identify molecular and cellular biomarkers of aging. A typical approach for estimating biological age, adopted by almost all existing aging clocks, is to train machine learning models only on healthy subjects, but to infer on both healthy and unhealthy subjects.
View Article and Find Full Text PDFTranscriptome-based WGCNA reveals the molecular regulation of xylem plasticity in acclimation to drought and rewatering in mulberry.
Front Plant Sci
December 2024
Jiangsu Key Laboratory of Sericultural and Animal Biotechnology, School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, China.
Xylem plasticity is important for trees to coordinate hydraulic efficiency and safety under changing soil water availability. However, the physiological and transcriptional regulations of cambium on xylem plasticity are not well understood. In this study, mulberry saplings of drought-resistant Wubu and drought-susceptible Zhongshen1 were subjected to moderate or severe drought stresses for 21 days and subsequently rewatered for 12 days.
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