Sriram Kosuri

This study uses deep mutational scanning to analyze TYK2 variants and their impact on function and drug response, identifying novel therapeutic targets and degradation strategies.

This paper identifies covalent modulators that target and degrade IRF5 and IRF8, key inflammatory transcription factors, with TH-B10 showing potent and selective degradation of IRF8.

This study applies high-resolution deep mutational scanning to the melanocortin-4 receptor to identify functionally significant variants and guide drug development.

The paper introduces a library of synthetic promoters and demonstrates their ability to respond to various stimuli with precise transcriptional output.

The paper uses MPRA to identify functional regulatory variants associated with schizophrenia and shows they differ from eQTLs in genomic location and regulatory impact.

The paper develops a high-throughput method to characterize protein-protein interactions and design orthogonal coiled-coil pairs, identifying a large set of specific interactions.

The paper identifies functional regulatory variants in GWAS loci for dementia, revealing cell-type specific transcriptional networks involved in disease risk.

SwabExpress is a simplified COVID-19 testing protocol that eliminates the need for transport media and nucleic acid extraction, achieving high sensitivity and specificity.

The paper profiles 8,269 IPTG-inducible promoters to model gene expression and identify optimal promoter architectures for predictable transcriptional control.

This study uses deep mutational scanning to analyze GPCR variants, identifying key residues for signaling and function across multiple GPCR classes.

The paper identifies 451 causal regulatory variants in yeast promoters using a massively parallel reporter assay and finds they show epistasis, conservation, and enrichment in transcription factor binding sites.

The paper introduces V-seq, a cost-effective method for viral genome sequencing that uses multiplexed RT primers to improve coverage and reduce costs.

DropSynth 2.0 improves gene synthesis fidelity and scale by optimizing enzymes and adding error correction in emulsions.

The paper investigates how transcription factor binding site architecture influences transcriptional activity using synthetic regulatory elements in a massively parallel reporter assay.

The paper develops a high-throughput platform to screen chemical libraries against receptor repertoires, identifying novel receptor-ligand interactions.

The paper uses CRISPR/Cas9 in yeast to engineer and screen variants, finding most premature termination codons are deleterious except near the C-terminal end.

The paper identifies rare genetic variants that cause large disruptions to exon recognition, using a new assay called MFASS, and finds most of these variants are not in canonical splice sites.

The paper develops a multiplexed assay to study σ70 promoter function in E. coli, finding that sequence elements explain most of the variance in promoter strength.

The paper quantifies error correction in gene synthesis using next-generation sequencing, finding ErrASE and T7 Endonuclease I most effective at reducing error rates.