Deep mutational scanning of SARS-CoV-2 Delta spike using a barcoded lentiviral platform against REGN10933 and Delta breakthrough sera

This page documents the data analysis. For the actual code, see https://github.com/dms-vep/SARS-CoV-2_Delta_spike_DMS_REGN10933

Study by Bernadeta Dadonaite, Jesse Bloom, et al (https://www.biorxiv.org/content/10.1101/2022.10.13.512056v1)..

Workflow

Below is the rulegraph for the snakemake workflow. Click here for the more detailed filegraph.

Analysis notebooks

Many of the plots in these notebooks are interactive, so try mousing over points for details, using dropdowns, etc.

• Analyze PacBio CCSs
• Build PacBio consensus sequences
• Build the codon variants
• Counts of variants
• Functional scores of variants for viral entry
• Fit global epistasis models
• Functional effects of mutations averaged across replicates
• Probabilities of escape and neutralization in antibody selections
• Fit polyclonal models
• Antibody-escape averaged across replicates
• Validation neutralization assays versus polyclonal fits

Data files

• parental gene sequence

• parental protein sequence

• sequential-to-reference site numbers

• codon-variant table

• processed barcode sequencing runs

• variant counts

• functional selection experiments

• mutation effects for each functional selection

• mutation functional effects replicate average (observed phenotype)

• mutation functional effects replicate average (latent phenotype)

• antibody selection experiments

• antibody escape values

• sequential to reference site numbering

Interactive plots of mutation functional effects

• Observed phenotype effects

• Latent phenotype effects

Interactive plots of mutation antibody escape

• 267C escape plot

• 279C escape plot

• REGN10933 escape plot