Extended Data Fig. 5: Assessing the impacts of different types of mutations across many sequence contexts. | Nature Methods

Extended Data Fig. 5: Assessing the impacts of different types of mutations across many sequence contexts.

From: Characterizing protein sequence determinants of nuclear condensates by high-throughput pooled imaging with CondenSeq

Extended Data Fig. 5: Assessing the impacts of different types of mutations across many sequence contexts.The alt text for this image may have been generated using AI.

(A) The change in the propensities for mutant sequences versus base sequences to form condensates. The values in the heatmap are the mean values of fcondensates for all mutations of the specified type minus fcondensates for the base sequence. All values plotted are for the GFP fusions in the medium concentration bin. There may not be data for a given mutation type (box colored yellow) for one of two reasons: (1) it was not possible to make the mutation type for that sequence (for example, it is not possible to make a–R mutant if the base sequence does not contain any R residues); or (2) the sequence was not expressed within the GFP fusion medium concentration bin. The top two rows show consistency scores over the base sequences for which fcondensates is less than 0.5 or greater than 0.5, respectively. The consistency score indicates the fraction of base sequences over which the sequence feature has the most common effect (1.0 indicates that the sequence feature has the given effect across 100% of the base sequences) (Supplementary Note 1). The dot size indicates the number of base sequences for which there is data for the given sequence feature. The two rows below the consistency scores show the mean Δ fcondensates values for the base sequences for which fcondensates is less than 0.5 or greater than 0.5, respectively.

Back to article page