RNA interference (RNAi) describes the post-transcriptional silencing of gene expression that occurs in response to the introduction of double-stranded RNA into cells. Application of RNAi in experimental systems has provided a great leap forward in the elucidation of gene function. To facilitate large-scale functional genomics studies using RNAi, several high throughput approaches have been developed based on microarray or microwell assays. Recent establishment of large libraries of RNAi reagents combined with a variety of detection assays further opens the door for genome-wide screens of gene function in mammalian cells.
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http://dx.doi.org/10.1016/S1359-6446(04)03352-5 | DOI Listing |
Waste Manag
January 2025
Guangdong Provincial Key Lab of Agro-animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; Guangxi Key Laboratory of Sericulture Ecology and Applied Intelligent Technology/ Guangxi Collaborative Innovation Center of Modern Sericulture and Silk, Hechi University, Hechi 546300, China. Electronic address:
Sericulture waste poses significant challenges to industrial and environmental safety. Black soldier fly larvae (BSFL) offer a promising solution for organic waste management by converting it into insect protein. This study aimed to develop a microbial fermented method for utilizing sericulture waste to feed BSFL and explore the underlying mechanisms.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA 94550.
In soils, the first rain after a prolonged dry period represents a major pulse event impacting soil microbial community function, yet we lack a full understanding of the genomic traits associated with the microbial response to rewetting. Genomic traits such as codon usage bias and genome size have been linked to bacterial growth in soils-however, often through measurements in culture. Here, we used metagenome-assembled genomes (MAGs) with O-water stable isotope probing and metatranscriptomics to track genomic traits associated with growth and transcription of soil microorganisms over one week following rewetting of a grassland soil.
View Article and Find Full Text PDFCell Rep
January 2025
Institute of Chemistry, Academia Sinica, Taipei 115, Taiwan; Sustainable Chemical Science and Technology, Taiwan International Graduate Program, Academia Sinica, Taipei 115, Taiwan; Department of Applied Chemistry, National Chiayi University, Chiayi City 600, Taiwan; Neuroscience Program of Academia Sinica, Academia Sinica, Taipei 115, Taiwan. Electronic address:
The toxicity of C9ORF72-encoded polyproline-arginine (poly-PR) dipeptide is associated with its ability to disrupt the liquid-liquid phase separation of intrinsically disordered proteins participating in the formation of membraneless organelles, such as the nucleolus and paraspeckles. Amyotrophic lateral sclerosis (ALS)-related TAR DNA-binding protein 43 (TDP-43) also undergoes phase separation to form nuclear condensates (NCs) in response to stress. However, whether poly-PR alters the nuclear condensation of TDP-43 in ALS remains unclear.
View Article and Find Full Text PDFGigascience
January 2025
School of Computer Science, Hunan University of Technology, Zhuzhou 412007, Hunan, China.
Background: The accurate deciphering of spatial domains, along with the identification of differentially expressed genes and the inference of cellular trajectory based on spatial transcriptomic (ST) data, holds significant potential for enhancing our understanding of tissue organization and biological functions. However, most of spatial clustering methods can neither decipher complex structures in ST data nor entirely employ features embedded in different layers.
Results: This article introduces STMSGAL, a novel framework for analyzing ST data by incorporating graph attention autoencoder and multiscale deep subspace clustering.
Gigascience
January 2025
Department of Animal Science, Iowa State University, Ames, IA, 50011, US.
The scientific community has long benefited from the opportunities provided by data reuse. Recognizing the need to identify the challenges and bottlenecks to reuse in the agricultural research community and propose solutions for them, the data reuse working group was started within the AgBioData consortium framework. Here, we identify the limitations of data standards, metadata deficiencies, data interoperability, data ownership, data availability, user skill level, resource availability, and equity issues, with a specific focus on agricultural genomics research.
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