A critical evaluation of ultrasensitive single-cell proteomics strategies.
Mary Rachel NalehuaJoseph ZaiaPublished in: Analytical and bioanalytical chemistry (2024)
Success of mass spectrometry characterization of the proteome of single cells allows us to gain a greater understanding than afforded by transcriptomics alone but requires clear understanding of the tradeoffs between analytical throughput and precision. Recent advances in mass spectrometry acquisition techniques, including updated instrumentation and sample preparation, have improved the quality of peptide signals obtained from single cell data. However, much of the proteome remains uncharacterized, and higher throughput techniques often come at the expense of reduced sensitivity and coverage, which diminish the ability to measure proteoform heterogeneity, including splice variants and post-translational modifications, in single cell data analysis. Here, we assess the growing body of ultrasensitive single-cell approaches and their tradeoffs as researchers try to balance throughput and precision in their experiments.
Keyphrases
- single cell
- mass spectrometry
- rna seq
- data analysis
- liquid chromatography
- high throughput
- gold nanoparticles
- molecularly imprinted
- quantum dots
- induced apoptosis
- high performance liquid chromatography
- label free
- capillary electrophoresis
- high resolution
- cell cycle arrest
- copy number
- machine learning
- cell proliferation
- big data
- deep learning
- artificial intelligence
- cell death
- simultaneous determination