Host depletion
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB24090 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR2230560.fastq.gz | Fastqsanger.gz | |||
| ERR2230570.fastq.gz | Fastqsanger.gz | |||
| ERR2230580.fastq.gz | Fastqsanger.gz | |||
| ERR2230590.fastq.gz | Fastqsanger.gz | |||
| ERR2230600.fastq.gz | Fastqsanger.gz |
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Project description:The aim of this work was to analyze the transcriptomic response of Buchnera aphidicola when the aphid host is submitted to depletion in essential amino acids (EAA). This treatment was combined with an increase in sucrose concentration to influence the bacterial growth rate. In this experiment, the dietary amino acids had an EAA:nonEAA ratio of either 1:1 (50% EAA) or 1:3 (25% EAA), giving low and high aphid demand of Buchnera-derived essential amino acids, respectively. This comparison was set in a 2 times 2 factorial design with sucrose concentration at 0.5 M and 1.0 M, supporting high and low aphid growth rates.
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Project description:To advance our understanding of cellular host-pathogen interactions, technologies that facilitate the co-capture of both host and pathogen spatial transcriptome information are needed. Here, we present an approach to simultaneously capture host and pathogen spatial gene expression information from the same formalin-fixed paraffin embedded (FFPE) tissue section using the spatial transcriptomics technology. We applied the method to COVID-19 patient lung samples and enabled the dual detection of human and SARS-CoV-2 transcriptomes at 55 µm resolution. We validated our spatial detection of SARS-CoV-2 and identified an average specificity of 94.92% in comparison to RNAScope and 82.20% in comparison to in situ sequencing (ISS). COVID-19 tissues showed an upregulation of host immune response, such as increased expression of inflammatory cytokines, lymphocyte and fibroblast markers. Our colocalization analysis revealed that SARS-CoV-2+ spots presented shifts in host RNA metabolism, autophagy, NFκB, and interferon response pathways. Future applications of our approach will enable new insights into host response to pathogen infection through the simultaneous, unbiased detection of two transcriptomes.
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