Amanda J. Guise

The paper uses spatial transcriptomics to analyze cell-cell interactions in a cuprizone model, finding region-specific changes and partial translatability to multiple sclerosis lesions.

This study compares snRNAseq data from C9orf72, SOD1, and sporadic ALS spinal cords, identifying shared and distinct molecular features across cell types.

This study examines how peptide fragmentation spectra differ between single cell and bulk proteomics, identifying key changes that affect peptide identification.

This study benchmarks peptide spectrum match identification tools for single cell proteomics and finds MetaMorpheus performs best at 1% FDR, with post-processing ML improving results by up to 40%.

The paper calculates the sample size requirements for detecting proteome dynamics in single cell proteomics time course experiments.

This paper introduces an ultrasensitive single-cell proteomics workflow that identifies over 1000 protein groups per mammalian cell using advanced mass spectrometry techniques.