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Mutational scanning of CRX classifies clinical variants and reveals biochemical properties of the transcriptional effector domain.

Authors :
Shepherdson JL
Granas DM
Li J
Shariff Z
Plassmeyer SP
Holehouse AS
White MA
Cohen BA
Source :
Genome research [Genome Res] 2024 Oct 15. Date of Electronic Publication: 2024 Oct 15.
Publication Year :
2024
Publisher :
Ahead of Print

Abstract

The transcription factor (TF) cone-rod homeobox (CRX) is essential for the differentiation and maintenance of photoreceptor cell identity. Several human CRX variants cause degenerative retinopathies, but most are variants of uncertain significance. We performed a deep mutational scan (DMS) of nearly all possible single amino acid substitutions in CRX using a cell-based transcriptional reporter assay, curating a high-confidence list of nearly 2000 variants with altered transcriptional activity. In the structured homeodomain, activity scores closely aligned to a predicted structure and demonstrated position-specific constraints on amino acid substitution. In contrast, the intrinsically disordered transcriptional effector domain displayed a qualitatively different pattern of substitution effects, following compositional constraints without specific residue position requirements in the peptide chain. These compositional constraints were consistent with the acidic exposure model of transcriptional activation. We evaluated the performance of the DMS assay as a clinical variant classification tool using gold-standard classified human variants from ClinVar, identifying pathogenic variants with high specificity and moderate sensitivity. That this performance could be achieved using a synthetic reporter assay in a foreign cell type, even for a highly cell type-specific TF like CRX, suggests that this approach shows promise for DMS of other TFs that function in cell types that are not easily accessible. Together, the results of the CRX DMS identify molecular features of the CRX effector domain and demonstrate utility for integration into the clinical variant classification pipeline.<br /> (© 2024 Shepherdson et al.; Published by Cold Spring Harbor Laboratory Press.)

Details

Language :
English
ISSN :
1549-5469
Database :
MEDLINE
Journal :
Genome research
Publication Type :
Academic Journal
Accession number :
39322280
Full Text :
https://doi.org/10.1101/gr.279415.124