MS-based technologies for untargeted single-cell proteomics

Lir Beck, Tamar Geiger

Research output: Contribution to journalReview articlepeer-review


Single-cell analyses characterize individual cells, allowing their clustering and characterization in an unsupervised manner. Single-cell genomics and transcriptomics dominate the field of single-cell analysis, however, these often do not accurately reflect cellular functions. In contrast, single-cell protein analyses were until recently only performed using antibody-based approaches. This review aims to highlight the recent developments in mass spectrometry-based single-cell proteomics and discuss the challenges and opportunities. Advances in the field hold the promise to impact biomedical research and contribute to the understanding of complex biological systems.

Original languageEnglish
Article number102736
JournalCurrent Opinion in Biotechnology
StatePublished - Aug 2022


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