This report describes the development and pre-clinical testing of a new, random-access RNA sample preparation system (TruTip) for nasopharyngeal samples. The system is based on a monolithic, porous nucleic acid binding matrix embedded within an aerosol-resistant pipette tip and can be operated with single or multi-channel pipettors. Equivalent extraction efficiencies were obtained between automated QIAcube and manual TruTip methods at 10(6) gene copies influenza A per mL nasopharyngeal aspirate. Influenza A and B amended into nasopharyngeal swabs (in viral transport medium) were detected by real-time RT-PCR at approximately 745 and 370 gene copies per extraction, respectively. RNA extraction efficiency in nasopharyngeal swabs was also comparable to that obtained on an automated QIAcube instrument over a range of input concentrations; the correlation between threshold cycles (or nucleic acid recovery) for TruTip and QIAcube-purified RNA was R(2)>0.99. Preclinical testing of TruTip on blinded nasopharyngeal swab samples resulted in 98% detection accuracy relative to a clinically validated easyMAG extraction method. The physical properties of the TruTip binding matrix and ability to customize its shape and dimensions likewise make it amenable to automation and/or fluidic integration.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3348996 | PMC |
http://dx.doi.org/10.1016/j.jviromet.2012.03.002 | DOI Listing |
Microbiome
December 2024
Faculty of Medicine, Human Microbiome Research Program, University of Helsinki, Helsinki, Finland.
Background: Amplicon sequencing of kingdom-specific tags such as 16S rRNA gene for bacteria and internal transcribed spacer (ITS) region for fungi are widely used for investigating microbial communities. So far most human studies have focused on bacteria while studies on host-associated fungi in health and disease have only recently started to accumulate. To enable cost-effective parallel analysis of bacterial and fungal communities in human and environmental samples, we developed a method where 16S rRNA gene and ITS1 amplicons were pooled together for a single Illumina MiSeq or HiSeq run and analysed after primer-based segregation.
View Article and Find Full Text PDFBMC Genomics
December 2024
School of Information Engineering, Jingdezhen Ceramic University, Jingdezhen, 333403, China.
Background: The subcellular localization of mRNA plays a crucial role in gene expression regulation and various cellular processes. However, existing wet lab techniques like RNA-FISH are usually time-consuming, labor-intensive, and limited to specific tissue types. Researchers have developed several computational methods to predict mRNA subcellular localization to address this.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Applied Biomedical Science, Faculty of Health Sciences, University of Malta, Msida, 2080, MSD, Malta.
There is much interest in analysing RNA, particularly with RNA Sequencing, across both research and diagnostic domains. However, its inherent instability renders it susceptible to degradation. Given the imperative for RNA integrity in such applications, proper storage and biobanking of blood samples and successful subsequent RNA isolation is essential to guarantee optimal integrity for downstream analyses.
View Article and Find Full Text PDFSignal Transduct Target Ther
December 2024
National Key Laboratory of Immunity and Inflammation, Naval Medical University, Shanghai, 200433, China.
Metabolic reprogramming of host cells plays critical roles during viral infection. Itaconate, a metabolite produced from cis-aconitate in the tricarboxylic acid cycle (TCA) by immune responsive gene 1 (IRG1), is involved in regulating innate immune response and pathogen infection. However, its involvement in viral infection and underlying mechanisms remain incompletely understood.
View Article and Find Full Text PDFCancer Genomics Proteomics
December 2024
Department of Gastroenterological Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Background/aim: The development of new biomarkers to predict cancer patient prognosis is expected to aid in treatment selection, contributing to improved outcomes. In this study, we extracted a candidate gene associated with patient prognosis from a public database and investigated the molecular and biological functions and clinical significance of the gene in gastric cancer.
Materials And Methods: We analyzed The Cancer Genome Atlas database and identified the family with sequence similarity 32 member a (FAM32A) as a candidate gene.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!