This paper introduces IMaP, a method to analyze tau proteoforms at the single-molecule level, revealing ordered phosphorylation patterns and disease-specific modifications.

Nature Methods · Sep 1, 2026Peer-reviewedBiochemistry

A deep-learning-based screening platform in aging-relevant human motor neurons to identify therapeutic compounds for amyotrophic lateral sclerosis

Bhagawati Jalnapurkar, David Le, William Shainin, Ryan Zarcone, Rajat Bhatnagar, Joshua Chin, Conor K. Corbin, Charles Curt, Brian A. Hodge, Fernando Martinez, Thomas Mikita, Anne Pipathsouk, Jesse Rosen, Thomas A. Rando, Joseph T. Rodgers, Jeremy W. Linsley

The paper develops a deep learning platform to screen compounds for ALS treatment using age-relevant human motor neurons and identifies NCB-0846 as a potential therapeutic.

bioRxiv · Nov 21, 2023 · PreprintNeuroscience

A Framework for Integrating Directed and Undirected Annotations to Build Explanatory Models of cis-eQTL Data.

David Lamparter, Rajat Bhatnagar, Katja Hebestreit, T. Grant Belgard, Alice Zhang, Victor Hanson-Smith

This paper introduces BAGEA, a Bayesian framework for analyzing cis-eQTL data using genomic annotations, showing it can predict up to 5% of expression variance for top-effect genes.

PLoS Computational Biology · Jun 9, 2020Peer-reviewedGenetics