Dual transcriptomics data and host-pathogen interaction detection


Eldem V., Çınar Y. U., Çay S. B., Kuralay S. C., Kayalar Ö., Zararsız G., ...Daha Fazla

Systems Biology Approaches for Host-Pathogen Interaction Analysis, Mohd. Tashfeen Ashraf,Abdul Arif Khan,Fahad M. Aldakheel, Editör, Elsevier Science, Oxford/Amsterdam , Massachusetts, ss.190-210, 2024

  • Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
  • Basım Tarihi: 2024
  • Yayınevi: Elsevier Science, Oxford/Amsterdam 
  • Basıldığı Şehir: Massachusetts
  • Sayfa Sayıları: ss.190-210
  • Editörler: Mohd. Tashfeen Ashraf,Abdul Arif Khan,Fahad M. Aldakheel, Editör
  • İstanbul Üniversitesi Adresli: Evet

Özet

Recent developments in high-throughput sequencing-based transcriptomics have expanded our understanding of host-pathogen interactions over the course of infection. Taking advantage of high-resolution spatiotemporal transcriptomics, we can measure simultaneously the expression profile of coding and non-coding genes in both pathogen and host without the need to physically separate their cells or RNA. Through this approach, known as “dual transcriptomics” or “RNA-Seq”, a range of immunological, metabolic and physiological changes can be identified in both pathogen and host by in-depth analysis of inter-species gene regulatory networks. For these reasons, dual RNA-Seq has emerged as the high-throughput method of choice for elucidating the molecular mechanisms underlying host-pathogen interactions, examining the genetic characteristics of key virulence genes, assessing whole-body pathogen load and identifying potential pathways for therapeutic targets. In this chapter, we review the most recent theoretical and experimental progress in dual RNA-Seq studies, best practices in analyzing dual RNA-Seq data, emerging applications and ongoing challenges. This chapter provides a good starting point for researchers interested in harnessing the potential of dual RNA-Seq.