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Dual RNA-seq to study interaction between two species (CAT#: STEM-MB-0076-WXH)
Introduction
There is a wide range of interactions between species, such as parasitism, symbiosis, competition, etc. The conventional transcriptome sequencing can only study the information of a single species, which not only wastes part of the data, but also affects the sample itself during the separation of two species.
Dual RNA-seq has been shown to monitor the all classes of coding and noncoding transcripts of both host and pathogen simultaneously.
By constructing only one transcriptome library, dual RNA-seq of total mixed RNA following double rRNA depletion or poly(A) capture allows sequencing and analyzing two (or more) species at the same time without the need to separate the species, thereby revealing the dynamic changes in gene expression between them.
Applications
• Gene expression level variations of host and pathogen
• Studying infection-related sRNA, mitochondrial RNA, etc.
• In-depth study of signal path-related noncoding RNA
• Studying the differences between wild and mutant pathogens via comparative genomics
• Uncovering the interaction mechanism between/among species by studying the gene regulation relationship(s)
• Studying the regulatory network, pathogenic mechanism during infection, and host resistance mechanism in the pathogen-host interaction process
• Studying the evolutionary relationships among pathogens of different species, and further discovery of positive selection based on homologous genes
• Studying infection-related sRNA, mitochondrial RNA, etc.
• In-depth study of signal path-related noncoding RNA
• Studying the differences between wild and mutant pathogens via comparative genomics
• Uncovering the interaction mechanism between/among species by studying the gene regulation relationship(s)
• Studying the regulatory network, pathogenic mechanism during infection, and host resistance mechanism in the pathogen-host interaction process
• Studying the evolutionary relationships among pathogens of different species, and further discovery of positive selection based on homologous genes
Procedure
1.Total mixed RNA isolation
2.Double rRNA depletion or Poly(A) capture
3.cDNA library preparation
4.Deep sequencing
5.Data analysis
2.Double rRNA depletion or Poly(A) capture
3.cDNA library preparation
4.Deep sequencing
5.Data analysis
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