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Single-Cell Proteomics: Mass Spec vs Single-Molecule Sequencing

 

Single-Cell Proteomics: Mass Spec vs Single-Molecule Sequencing

Unlike bulk proteomics, which analyzes average protein expression across a group of cells, single-cell proteomics explores the heterogeneity and diversity of single cells. These deeper insights offer a new understanding of cell biology, cellular responses to stimuli and how complex signaling pathways contribute to the cell’s function as a system. When studying human health and disease, this field is set to have a profound impact on how we diagnose and treat illnesses in personalized medicine. Medical fields such as cancer research are already benefitting from single-cell proteomics, which can shed light on why certain cells within a tumor respond to a specific therapy, while others may not, for example.

The single-cell proteomics toolbox continues to evolve, with novel workflows combining a variety of analytical tools being published frequently. The dominant set-up for most experiments involves the use of mass spectrometry (MS) in some configuration. Lately, there has been excitement surrounding single-molecule sequencing and its possible applications in proteomics.

#SingleCellProteomics, #MassSpectrometry, #SingleMoleculeSequencing, #Proteomics, #Genomics, #Transcriptomics, #MolecularBiology, #Bioinformatics, #CellBiology, #Omics, #SystemsBiology, #PrecisionMedicine, #BiomedicalResearch, #NextGenSequencing, #ProteinAnalysis, #DataDrivenBiology, #LifeSciences, #Biotechnology, #MolecularDiagnostics, #ResearchInnovation

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