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Modeling dynamic regulatory elements to find disease-critical cell states
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Stochasticity in Transcription - MPG Primer 2023
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- 1 Intro
- 2 Single-cell data have identified some immune cell types that are expanded or depleted in autoimmunity
- 3 Modeling dynamic regulatory elements to find disease-critical cell states
- 4 Identifying cell-state-dependent peaks within each cell type using a continuous Poisson GLM framework
- 5 Example peak accessibility profiles reflect the nature of dynamic versus invariant peaks
- 6 Annotating the genome based on peak sets of interest
- 7 We can identify peak-gene-cell state trios associated with autoimmune diseases
- 8 Once we have identified a cell state of interest, how can we systematically learn its active gene regulatory programs?
- 9 Stochasticity: transcriptional bursting
- 10 Transcriptional heterogeneity is propagated from a TF to its target genes in sequential steps, each of which creates a time delay...
