Abstract
The destructive nature of single-cell transcriptomics has hindered predicting and interpreting heterogeneous outcomes of molecular challenges. By exploiting information on the pre-perturbation state and fate of thousands of individual cells using droplet-based single cell RNA-seq with metabolic RNA labeling, we developed Heterogeneity-seq for predicting causal factors that impact on molecular outcomes. Heterogeneity-seq uncovered genes with an effect on drug treatment and novel pro- and antiviral host factors of cytomegalovirus infection.
Original language | English |
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Publisher | Edit bioRxiv : the preprint server for biology |
Number of pages | 33 |
DOIs | |
Publication status | Published - 28 Oct 2024 |
Keywords*
- MCMV
- RNA sequencing
- Single-cell sequencing
Field of Science*
- 1.6 Biological sciences
- 3.1 Basic medicine
- 3.2 Clinical medicine
Publication Type*
- 6. Other publications