Transcriptomics

Dataset Information

0

Dual RNA-seq of Orientia tsutsugamushi in HUVEC cells


ABSTRACT: Emerging and neglected diseases pose challenges as their biology is frequently poorly understood, and genetic tools often do not exist to manipulate the responsible pathogen. Organism agnostic sequencing technologies offer a promising approach to understand the molecular processes underlying these diseases. Here we apply dual RNA-seq to Orientia tsutsugamushi (Ot), an obligate intracellular bacterium and the causative agent of the vector-borne human disease scrub typhus. Half the Ot genome is composed of repetitive DNA, and there is minimal collinearity in gene order between strains. Integrating RNA-seq, comparative genomics, proteomics, and machine learning, we investigated the transcriptional architecture of Ot, including operon structure and non-coding RNAs, and found evidence for wide-spread post-transcriptional antisense regulation. We compared the host response to two clinical isolates and identified distinct immune response networks that are up-regulated in response to each strain, leading to predictions of relative virulence which were confirmed in a mouse infection model. Thus, dual RNA-seq can provide insight into the biology and host-pathogen interactions of a poorly characterized and genetically intractable organism such as Ot.

ORGANISM(S): Homo sapiens

PROVIDER: GSE139498 | GEO | 2020/06/03

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2013-01-29 | GSE38194 | GEO
2013-01-29 | E-GEOD-38194 | biostudies-arrayexpress
2010-09-21 | GSE24247 | GEO
2020-06-05 | PXD017956 | JPOST Repository
2010-09-21 | E-GEOD-24247 | biostudies-arrayexpress
| PRJNA316643 | ENA
| PRJNA18991 | ENA
2023-05-04 | GSE227525 | GEO
2023-03-20 | GSE227523 | GEO
| PRJNA16180 | ENA