CD Genomics utilizes cutting-edge double-stranded RNA (dsRNA) sequencing technology to identify and characterize RNA viruses, both plant and animal RNA viral infections without prior knowledge, enabling proactive containment of emerging infectious agents.
Overview
In the realm of viral infections, dsRNA plays a crucial role as it constitutes the viral genome in dsRNA viruses or is produced within host cells during viral replication. Recognizing the significance of dsRNAs, organisms across the board have developed the ability to detect and respond to these molecules, aiming to combat potential infections effectively.
Our dsRNA Sequencing service leverages high-throughput sequencing of total RNA isolated from infected individuals to identify and study the complete genomes of RNA viruses. This approach is particularly valuable when dealing with unknown pathogens causing diseases. By employing this method, we can also detect variants of known viruses or synthetic viral agents that may not be identifiable through traditional techniques such as PCR or serology-based assays.
At CD Genomics, we have implemented a rigorous viral enrichment and dsRNA purification process, which significantly reduces the presence of rRNA sequences. This meticulous purification step enhances the sensitivity of sequencing and improves our ability to reconstruct viral genomes accurately.
With our advanced dsRNA-Seq technology, we are capable of identifying and assembling the complete genomes of various RNA viruses. Our service covers a broad range of viral classifications, including negative-sense RNA viruses, positive-sense RNA viruses, dsRNA viruses, and bisense RNA viruses. This versatility allows us to effectively identify plant and animal RNA viral infections without relying on a priori knowledge, thus enabling a proactive approach in containing emerging infectious agents.
Features
High Compatibility
Sensitivity and Accuracy
Cutting-edge Algorithms
One-Stop Solution
A wide range of viral families, including negative-sense RNA viruses, positive-sense RNA viruses, dsRNA viruses, and bisense RNA viruses.
Stringent viral enrichment and dsRNA purification process, minimizing the presence of rRNA sequences, reducing background noise and improving the sensitivity of viral detection.
This capability expands your ability to monitor viral evolution, track genetic changes, and enhance surveillance efforts, providing critical insights for public health and research purposes.
One-stop solution from sample QC, library construction, to sequencing and data analysis, discovery of novel pathogens and the elucidation of their genetic makeup and potential implications.
Project Workflow
1. Sample Preparation
2. Library Preparation
3. Sequencing
4. Data Analysis
Bioinformatics Analysis Pipeline
1. Sequence Alignment: We align sequencing reads to reference genomes to identify known viruses and potential variants.
2. De novo Assembly: For novel or uncharacterized viruses, we perform de novo assembly to reconstruct their complete genomes.
3. Variant Calling: We identify genetic variations within viral genomes to study their diversity and evolution.
4. Functional Annotation: We annotate viral genomes to understand their potential functions and identify key genes or regions of interest.
5. Comparative Analysis: We compare identified viral genomes with known databases to gain insights into their relatedness and evolutionary relationships.
Case Studies
Identification of A Novel RNA Virus
Background
Intracellular RNA viruses pose a significant challenge in terms of detection and surveillance in human clinical samples. This case study aims to assess the efficiency of a newly established method for detecting intracellular RNA viruses in liver transplant patients, particularly in comparison to conventional methods.
Objective
To test the efficiency of the newly established method for detecting intracellular RNA viruses in human clinical samples collected from liver transplant recipients.
Methodology
Tissue samples were collected from 57 liver transplant recipients at Kyushu University Hospital between June 2017 and February 2019. The newly established method for efficient RNA virus detection was utilized and compared to conventional methods commonly employed in clinical settings.
Results
The newly established method demonstrated superior efficiency in detecting intracellular RNA viruses compared to conventional methods. The viral read ratio in human clinical samples was notably higher using the new method, indicating enhanced sensitivity and detection capability. Importantly, the method correctly identified viral RNA from liver tissues infected with the hepatitis C virus, highlighting its accuracy and specificity.
Workflow of the modified dsRNA-seq method. (Izumi et al. 2021)
1.8 ≤ OD260/280 ≤ 2.2, OD260/230≥2.0, RIN ≥ 6.5, 28S:18S≥1.0.
Please make sure that the RNA is not degraded.
Sample Storage: RNA can be dissolved in ethanol or RNA-free ultra-pure water and stored at -80°C. RNA should avoid repeated freezing and thawing.
Shipping Method: When shipping RNA samples, the RNA sample is stored in a 1.5 mL Eppendorf tube, sealed with a sealing film. Shipments are generally recommended to contain 5-10 pounds of dry ice per 24 hours.
Workflow of the modified dsRNA-seq method. (Izumi et al. 2021)
