Data · dataset · 2013
Simultaneous transcriptional profiling of Chlamydia and their host cells by heterogenous RNA-Seq (hRNA-Seq)
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Bacterial pathogens subvert host cells by using their gene products to manipulate cellular pathways for survival and replication; in turn, host cells respond to invading pathogens through cascading changes in gene expression.
Description
Deciphering this complex temporal and spatial interplay is crucial for improved diagnostics and therapeutics. However, the technical limitations of existing methods of expression profiling, such as microarray analysis, significantly reduce their utility for obtaining both bacterial and host expression profiles from infected cells.
We developed the heterogeneous RNA-Seq (hRNA-Seq) method to simultaneously capture prokaryotic and eukaryotic expression profiles of bacteria-infected cells. As proof of principle, hRNA-Seq was applied to Chlamydia -infected cells, successfully obtaining the transcriptomes of both Chlamydia and their host cells at 1 and 24 hours post-infection. Substantial transcription was found in the immediate-early period of infection for both Chlamydia and the host cell.
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Numerous novel host responses were found; in particular we discovered putative positive feedback mechanisms for Chlamydia -induced fibrotic scarring.
Links
Where it is published
- Repository landing page figshare.com/articles/dataset/Simultaneous_transcriptional_profiling_of_Chl… ↗
landing page · from DataCite
- Repository landing page figshare.com/articles/dataset/Simultaneous_transcriptional_profiling_of_Chl… ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.723377 ↗
DOI / persistent id · from DataCite
- DOI doi.org/10.6084/m9.figshare.723377.v1 ↗
DOI / persistent id · from DataCite
Documentation and papers
Catalogue records · 4
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.723377.v1 ↗
metadata API · from DataCite
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.723377 ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.723377.v1 ↗
catalogue entry · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.723377 ↗
catalogue entry · from DataCite
Topics
- Stated by source
- Biological sciences · Biological sciences · Computer and information sciences · Computer and information sciences · Health sciences · Health sciences
- From keywords
- Microbiology
- Inferred from text
- RNA sequencing 65%
Provenance · 2 source records, 15 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.6084/m9.figshare.723377 | 12 d ago | JSON v1 |
| DataCite | 10.6084/m9.figshare.723377.v1 | 12 d ago | JSON v1 |
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|---|---|---|---|
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| byte_size | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:biological-sciences | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:biological-sciences | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:computer-and-information-sciences | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:computer-and-information-sciences | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:health-sciences | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:health-sciences | source · DataCite | connector:datacite@1.0.0 | |
| concepts[modality].local:modality:rna-seq | enrichment · DataCite | keyword-concept-rules@1.0.0 | title+description (65%) |
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| updated_date | source · DataCite | connector:datacite@1.0.0 |