Manuel Seefelder

BayesInteractomics improves AP-MS interactome analysis by combining deep learning and Bayesian statistics to better distinguish true interactions from background noise.

This paper integrates HTT affinity-proteomics datasets to show polyQ expansion causes loss of transcription coactivators and gain of proteostatic and synaptic contacts.

The paper shows the HTT-HAP40 complex acts as a bidirectional rheostat regulating stress response and lipid metabolism, with loss of balance linked to Huntington's disease pathogenesis.

This study identifies transcriptomic alterations in Huntington's disease, highlighting CDC42, NFY, DLX1, and PRMT3 as key genes involved in disease pathology.