Transcriptomics

Dataset Information

0

Virograms for prediction of predisposition to asthma exacerbation


ABSTRACT: Background: Clinical transcriptomics of peripheral blood mononuclear cells (PBMC) are coming into focus as a surrogate approach for prognosis, diagnosis, biomarker discovery and examination disease mechanisms. However, bioassays paired with transcriptomic analytic tools are yet to be developed and made available at point of care. Harnessing personal dynamic genomic responses to tailor patient asthma treatment or prevent disease exacerbations remain unmet medical needs. Method: We developed a rhinovirus-stimulated peripheral blood based-assay (virogram assay) coupled with single-subject analytics (N-of-1-patwhays) to capture dynamic genome-wide expression and dysregulated pathways to retrospectively predict childhood asthma exacerbation. We hypothesized that some genomic factors might predispose any given individual, healthy or asthmatic, to a set of similar transcriptional responses to rhinovirus stimulation. We first generated a classifier from paired sample microarrays, control and stimulated PBMC from healthy subjects and applied this classifier on the transcriptomic analysis of control and HRV-stimulated PBMC samples (virogram assay) from children with asthma. Results: The analysis of the different genomic responses of single-subject paired PBMC samples (HRV-stimulated and control) derived from healthy individuals (external dataset) enabled the discovery of dysregulated pathways related to acquired immunity, epigenetics and morphogenesis. The classifier built on these results and applied on the transcriptional analysis derived from the virogram assay predicted that the risk of asthma exacerbation among asthmatic subjects with an accuracy of 70%. Conclusion: We provide evidence that clinical prognosis can be predicted with a PBMC based-bioassay aligned with adequate single-subject analytics to assess dynamic transcriptomic response to specific disease-associated stimuli.

ORGANISM(S): Homo sapiens

PROVIDER: GSE68479 | GEO | 2016/05/01

SECONDARY ACCESSION(S): PRJNA282878

REPOSITORIES: GEO

Dataset's files

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

Similar Datasets

2008-11-01 | GSE13396 | GEO
2008-11-13 | E-GEOD-13396 | biostudies-arrayexpress
2015-03-01 | E-GEOD-61141 | biostudies-arrayexpress
2015-03-01 | GSE61141 | GEO
2017-05-26 | GSE97668 | GEO
2023-05-02 | PXD015604 | Pride
2014-03-14 | E-GEOD-55271 | biostudies-arrayexpress
2014-07-28 | E-GEOD-52074 | biostudies-arrayexpress
2019-03-19 | GSE124124 | GEO
2014-03-14 | GSE55271 | GEO