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Methods to Investigate the Regulatory Role of Small RNAs and Ribosomal Occupancy of Plasmodium falciparum
Published on: December 4, 2015
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A comprehensive RNA handling and transcriptomics guide for high-throughput processing of Plasmodium blood-stage
Michal Kucharski1, Jaishree Tripathi2, Sourav Nayak3
1School of Biological Sciences, Nanyang Technological University, Singapore, 637551, Singapore. mkucharski@ntu.edu.sg.
Malaria Journal
|October 10, 2020
Summary
This study presents a streamlined protocol for generating high-quality Plasmodium transcriptomes from infected blood samples. The optimized method improves RNA preservation, extraction, and sequencing, enabling detailed studies of malaria pathology and epidemiology.
Area of Science:
- Parasitology
- Genomics
- Molecular Biology
Background:
- Advancements in sequencing technology enable transcriptomics for malaria research.
- A comprehensive, up-to-date reference protocol for Plasmodium transcriptome generation is lacking.
- This study addresses the need for efficient high-throughput transcriptome data generation from Plasmodium-infected samples.
Purpose of the Study:
- To present a comprehensive methodology for generating full-length mRNA transcriptomes from Plasmodium-infected blood.
- To streamline the process for high-throughput studies.
- To optimize existing methods for Plasmodium RNA analysis.
Main Methods:
- Evaluated RNA-preserving reagents and storage conditions.
- Compared RNA extraction protocols to identify the most suitable method for low-volume, low-parasitaemia samples.
- Optimized the SMART-seq2 amplification for AT-rich Plasmodium falciparum RNA.
- Developed a modified CRISPR-Cas9 method for human hemoglobin transcript depletion.
- Applied the protocol to generate high-resolution transcriptomes for laboratory and field strains.
Main Results:
- Established an optimal method for high-quality total RNA extraction from challenging samples.
- Achieved high-quality transcriptomes from 10 ng total RNA and 0.05% parasitaemia.
- Improved parasite transcriptome coverage through targeted depletion of human transcripts.
- Generated the highest resolution transcriptome of the P. falciparum intraerythrocytic cycle to date.
- Created the largest transcriptome dataset from Southeast Asian field isolates.
Conclusions:
- The presented methodology provides an inclusive pipeline for generating quality transcriptomic data from diverse Plasmodium samples.
- The pipeline is adaptable for robotic handling, facilitating both small and large-scale malaria research.
- This work supports future transcriptomic studies in malaria pathology and epidemiology.
Keywords:
High-throughputMalariaPlasmodiumRNA extractionRNA preservationRNA-seqWhole transcriptome analysis
