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Related Concept Videos

RNA-seq03:21

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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Related Experiment Video

Updated: May 12, 2026

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
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Transcriptome profiling of Giardia intestinalis using strand-specific RNA-seq.

Oscar Franzén1, Jon Jerlström-Hultqvist, Elin Einarsson

  • 1Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.

Plos Computational Biology
|April 5, 2013
PubMed
Summary

Giardia intestinalis assemblages A, B, and E show distinct gene expression patterns. These differences in gene transcription and polyadenylation may explain variations in host specificity and disease symptoms.

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Area of Science:

  • Microbiology
  • Genomics
  • Parasitology

Background:

  • Giardia intestinalis causes diarrheal disease and has eight assemblages (A-H).
  • Assemblages A and B infect humans, potentially representing distinct species.
  • Assemblage type correlates with host specificity and symptoms.

Purpose of the Study:

  • To characterize and compare the polyadenylated transcriptomes of Giardia intestinalis assemblages A, B, and E.
  • To investigate gene expression divergence and its relationship to phylogeny and lineage-specific differences.

Main Methods:

  • Utilized paired-end, strand-specific RNA sequencing (RNA-seq) on four Giardia isolates (WB (AI), AS175 (AII), P15 (E), and GS (B)).
  • Analyzed genome-wide gene expression levels, polyadenylation sites, and cis-splicing events.
  • Examined allele-specific expression and non-transcribed gene clusters.

Main Results:

  • Most of the Giardia genome was transcribed in vitro, with significant variations in expression levels.
  • RNA-seq refined genome annotations and confirmed phylogenetic relationships through gene expression divergence.
  • Mapped polyadenylation sites for over 70% of genes, identifying conserved and long 3' UTRs.
  • Discovered lineage-specific expression differences and a correlation between allele dosage and expression in one isolate.

Conclusions:

  • Transcriptome analysis reveals significant differences between Giardia intestinalis assemblages.
  • These findings provide insights into host-preference and symptom variations.
  • The study lays the groundwork for future research into Giardia pathogenesis and biology.