As one of the providers of dual RNA-seq data analysis, CD Genomics uses bioinformatics to help you quickly and accurately explore the interaction mechanism between two species. Our high-quality data analysis platform will be used to generate high-quality analysis results in a fast analysis cycle.
Organisms regulate their gene expression to establish many interactions. A myriad of eukaryotic-prokaryotic interaction systems are being studied, focusing mainly on pathogen and host gene expression responses, and pathogen-associated molecular patterns. Changes in gene expression or transcriptome were first studied by microarray experiments focusing on only one interacting organism. The RNA sequencing approach (RNA-Seq) is a promising method to study two interacting organisms. At the beginning, this technology presented some limitations related to cost and large amounts of data management, which are being surpassed by the emergence of new sequencing methods and bioinformatics tools. RNA-seq is a simultaneous transcriptomic analysis of interacting symbionts (pathogens include bacteria, fungi, protozoa, etc., and hosts can be mammals or plants.).
Fig. 1. Flow chart of a dual RNA-seq experiment with example software programs. (Naidoo S, et al, 2018)
CD Genomics offers cutting-edge dual RNA-seq data analysis services designed to study dynamic host-pathogen interactions and analyze the transcriptomes of both hosts and pathogens to help clients understand the molecular mechanisms of infection, host immune response, and pathogen virulence.
The results of bioinformatic analysis of Dual RNA-seq data can be used in the following research fields:
Infectious disease research: help study infectious diseases and enables researchers to unravel the intricate interactions between hosts and pathogens. The ultimate goal is to develop new therapeutic interventions and discover biomarkers for disease diagnosis and prognosis.
Host-pathogen co-evolution studies: provide a snapshot of simultaneous changes in the host and pathogen transcriptomes during infection. Researchers can identify conserved and distinct molecular pathways that reveal evolutionary competition between hosts and pathogens.
Microbiome analysis: can be used to study host-microbiome interactions, thereby providing insight into the functional dynamics of microbial communities in the host environment.
Drug discovery and vaccine development: help identify host factors critical to pathogen survival and replication, as well as host immune responses that can be used for vaccine design.
Comparative genomics and pathogenesis: facilitate the study of comparative genomics and pathogenesis, enabling researchers to study genetic diversity, evolution and functional variation among different pathogens. This ultimately informs the development of infectious disease surveillance, diagnosis and control strategies.
Quality control and pre-processing
Read alignment and mapping
Quantification and differential expression analysis
Functional analysis and interpretation
|Sequential Analysis||Sequential analysis of reference genomic libraries, one after the other.|
|Combinatorial Analysis||Libraries are aligned to chimeric reference genomes by linking reference genomes.|
CD Genomics is a high-tech company specializing in multiomic data analysis. We provide services such as project design, data analysis, and database construction. With a focus on developing breakthrough products and services, we are a pioneer in the biotechnology industry, serving researchers and partners worldwide.
CD Genomics is committed to advancing the field of host-pathogen interactions through cutting-edge dual RNA-seq data analysis. Our tailored solutions, bioinformatics expertise and dedication to quality ensure that researchers gain accurate, reliable and meaningful insight into the complex world of host-pathogen interactions. If you are interested in our services, please contact us for more detailed information.