The increasing popularity of systems-based approaches to plant research has resulted in a demand for high throughput (HTP) methods to be developed. RNA extraction from multiple samples in an experiment is a significant bottleneck in performing systems-level genomic studies. Therefore we have established a high throughput method of RNA extraction from Arabidopsis thaliana to facilitate gene expression studies in this widely used plant model. We present optimised manual and automated protocols for the extraction of total RNA from 9-day-old Arabidopsis seedlings in a 96 well plate format using silica membrane-based methodology. Consistent and reproducible yields of high quality RNA are isolated averaging 8.9 μg total RNA per sample (~20 mg plant tissue). The purified RNA is suitable for subsequent qPCR analysis of the expression of over 500 genes in triplicate from each sample. Using the automated procedure, 192 samples (2 × 96 well plates) can easily be fully processed (samples homogenised, RNA purified and quantified) in less than half a day. Additionally we demonstrate that plant samples can be stored in RNAlater at -20°C (but not 4°C) for 10 months prior to extraction with no significant effect on RNA yield or quality. Additionally, disrupted samples can be stored in the lysis buffer at -20°C for at least 6 months prior to completion of the extraction procedure providing a flexible sampling and storage scheme to facilitate complex time series experiments.
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http://dx.doi.org/10.1186/1746-4811-7-40 | DOI Listing |
PLoS One
January 2025
Department of Earth and Environmental Sciences, California State University, Fresno, CA, United States of America.
Rice-crab co-culture is an environmentally friendly agricultural and aquaculture technology with high economic and ecological value. In order to clarify the structure and function of soil and water microbial communities in the rice-crab symbiosis system, the standard rice-crab field with a ring groove was used as the research object. High-throughput sequencing was performed with rice field water samples to analyze the species and abundance differences of soil bacteria and fungi.
View Article and Find Full Text PDFPLoS One
January 2025
SLAC National Accelerator Laboratory, Stanford University, Stanford, California, United States of America.
Protein-Protein Interactions (PPIs) are a key interface between virus and host, and these interactions are important to both viral reprogramming of the host and to host restriction of viral infection. In particular, viral-host PPI networks can be used to further our understanding of the molecular mechanisms of tissue specificity, host range, and virulence. At higher scales, viral-host PPI screening could also be used to screen for small-molecule antivirals that interfere with essential viral-host interactions, or to explore how the PPI networks between interacting viral and host genomes co-evolve.
View Article and Find Full Text PDFACS Sens
January 2025
Department of Electrical and Computer Engineering, University of Cyprus, Nicosia 2112 Cyprus.
Breath analysis is increasingly recognized as a powerful noninvasive diagnostic technique, and a plethora of exhaled volatile biomarkers have been associated with various diseases. However, traditional analytical methodologies are not amenable to high-throughput diagnostic applications at the point of need. An optical spectroscopic technique, surface-enhanced Raman spectroscopy (SERS), mostly used in the research setting for liquid sample analysis, has recently been applied to breath-based diagnostics.
View Article and Find Full Text PDFHLA
January 2025
Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Medical University, Moscow, Russia.
The new HLA-B*52:130 allele showed one nonsynonymous nucleotide difference compared to the HLA-B*52:01:01:01 allele in codon 170.
View Article and Find Full Text PDFJ Cosmet Dermatol
January 2025
Department of Plastic and Cosmetic Surgery, Hubei Provincial Hospital of Traditional Chinese Medicine, The Affiliated Hospital of Hubei University of Chinese Medicine, Wuhan, China.
Background: Rosacea is a prevalent inflammatory skin condition, but its molecular mechanisms and treatment responses remain poorly understood.
Aims: This study aims to investigate the molecular mechanisms underlying rosacea and explore drug response through transcriptomic analysis and in vitro experiments.
Patients/methods: We performed high-throughput RNA sequencing to analyze gene expression patterns in rosacea patients.
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