Kumar Yugandhar

The paper develops a neuron-specific interactome map in human excitatory neurons to identify novel risk genes and pathways in Alzheimer's disease.

The paper identifies human RNA Polymerase II interactors at early transcription stages using biochemical purification and mass spectrometry, revealing new factors involved in PIC assembly and promoter-proximal pausing.

MAGMa is a tool for differential expression analysis in mass-spectrometry proteomic data, showing improved sensitivity and specificity in detecting true signals.

This study uses FRB-FKBP dimerization to disrupt Mlh1-Pms1 IDRs, revealing their role in DNA clamping during mismatch repair.

The paper shows that structure-based validation underestimates error rates in proteome-wide XL-MS and proposes four metrics for better quality assessment.

MaXLinker improves cross-link identification by reducing false positives and increasing sensitivity, revealing 9,319 cross-links in K562 cells.