DESP: Demixing Cell State Profiles from Dynamic Bulk Molecular Measurements

Abstract

There is wide interest to determine the dynamic expression of proteins and other molecules that drive phenotypic remodeling in development and pathobiology, but due to technical limitations these systems remain largely unexplored at the resolution of the underlying cell states. Here, we present DESP, a novel algorithm that leverages independent readouts of cellular proportions, such as from single-cell RNA-sequencing or cell sorting, to resolve the relative contributions of cell states to bulk molecular measurements, most notably quantitative proteomics, recorded in parallel. We applied DESP to an in-vitro model of the epithelial-to-mesenchymal transition and demonstrated its ability to accurately reconstruct cell state signatures from bulk-level measurements of both the proteome and transcriptome providing insights into transient regulatory mechanisms. DESP provides a generalizable computational framework for modeling the relationship between bulk and single-cell molecular measurements, enabling the study of proteomes and other molecular profiles at the cell state-level using established bulk-level workflows.

Elucidating the dynamic remodelling of Escherichia coli interactome in different growth conditions using multiplex co‐fractionation MS (mCF‐MS)

“…In this issue, Youssef et al. conducted a study using multiplex co‐fractionation mass spectrometry (mCF‐MS) and a custom software pipeline to investigate protein‐protein interactions (PPIs) in Escherichia coli under ten different growth conditions [1]. Their results revealed dynamic rewiring of protein networks, and subsequent bioinformatics analyses shed light on the biophysical properties and structural patterns that govern the response to environmental stimuli.…”

Elucidating the dynamic remodelling of Escherichia Coli interactome in different growth conditions using multiplex co-fractionation MS (mCF-MS)

“…(156 Words ) Youssef et al conducted a study using multiplex co-fractionation mass spectrometry (mCF-MS) and a custom software pipeline to investigate protein-protein interactions (PPI) inEscherichia coli under ten different growth conditions [1]. The results revealed dynamic rewiring of protein networks, and subsequent bioinformatics analyses shed light on the biophysical properties and structural patterns that govern the response to environmental stimuli.…”