SCoPE-MS: mass spectrometry of single mammalian cells quantifies proteome heterogeneity during cell differentiation

By B. Budnik, Ezra Levy, Guillaume Harmange, Nikolai Slavov. Genome Biology, 2017

756 citations recorded by the source corpus.

Some exciting biological questions require quantifying thousands of proteins in single cells. To achieve this goal, we develop Single Cell ProtEomics by Mass Spectrometry (SCoPE-MS) and validate its ability to identify distinct human cancer cell types based on their proteomes. We use SCoPE-MS to quantify over a thousand proteins in differentiating mouse embryonic stem cells. The single-cell proteomes enable us to deconstruct cell populations and infer protein abundance relationships. Comparison between single-cell proteomes and transcriptomes indicates coordinated mRNA and protein covariation, yet many genes exhibit functionally concerted and distinct regulatory patterns at the mRNA and the protein level.

Subfields: Molecular Biology, Spectroscopy

View Paper: https://www.semanticscholar.org/paper/6973a005a703ee7b4a784c9445ca92d52b373dc3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. R. Argelaguet
2. J. Sáez-Rodríguez
3. Zhiliang Bai
4. Rong Fan
5. Alev Baysoy
6. Rahul Satija
7. Fabian J Theis

In Spectroscopy

1. J. Sáez-Rodríguez
2. Rahul Satija

Citations in the corpus

• Gene regulatory network inference in the era of single-cell multi-omics (2023, background): “Advances in untargeted single-cell proteomics and phosphoproteomics may enable the profiling of functionally active TFs 185 .”
• The technological landscape and applications of single-cell multi-omics (2023, methodology): “SCoPE-MS and SCoPE2 are such methods using mass spectrometry, but they have no available integration method with other omics, leaving room for future development 72,73 .”