Karen S. Sarkisyan

Bioluminescent sentinel plants enable autonomous diagnostics of viral infections

This paper develops bioluminescent plants that detect viral infections through spectral changes, using a protease-responsive circuit triggered by viral proteases.

A whole organism screening platform identifies gut microbiome microproteins that modulate host metabolism

The paper identifies gut microbiome microproteins that modulate host metabolism using a whole-organism screening platform in C. elegans.

A step towards animal models with self-sustained fungal bioluminescence

The paper develops a self-sustained fungal bioluminescence system in animal models to monitor molecular events non-invasively.

Metabolically robust autoluminescent reporters

This paper introduces a method to make autoluminescent reporters robust to metabolic changes by using a reference luciferase variant to quantify gene expression independently of metabolism.

Visualization and Prediction of in vivo Phosphate Dynamics via Auto-Glowing Plant Sensors

This paper develops a biosensor to visualize and predict phosphorus deficiency in plants using bioluminescence and deep learning.

Screening conditions and constructs for attempted genetic transformation of C. elegans by Agrobacterium

The paper describes constructs and conditions for Agrobacterium-mediated genetic transformation of C. elegans, aiming to enable high-throughput transgenic library creation.

Non-invasive imaging of salicylic and jasmonic acid activities in planta

The paper develops autoluminescent plants to non-invasively image jasmonic and salicylic acid activities in response to pests and pathogens.

A platform for lab management, note-keeping and automation

The paper describes a no-code lab management platform using Airtable for integrated sample, procedure, and data management with custom automations.

Heterogeneity of the GFP fitness landscape and data-driven protein design

The paper characterizes fitness landscapes of fluorescent proteins and finds that flat landscapes are less suitable for machine learning-based protein design.

Experimental assay of a fitness landscape on a macroevolutionary scale

The paper experimentally assays a fitness landscape on a macroevolutionary scale by analyzing the effects of amino acid substitutions in yeast His3 orthologs.