TY - JOUR
T1 - MS-based technologies for untargeted single-cell proteomics
AU - Beck, Lir
AU - Geiger, Tamar
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/8
Y1 - 2022/8
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85130748411&partnerID=8YFLogxK
U2 - 10.1016/j.copbio.2022.102736
DO - 10.1016/j.copbio.2022.102736
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C2 - 35644059
AN - SCOPUS:85130748411
SN - 0958-1669
VL - 76
JO - Current Opinion in Biotechnology
JF - Current Opinion in Biotechnology
M1 - 102736
ER -