Learning from natural variation across the proteomes of single cells

2022/01/05 by Nikolai Slavov · 1 voice · 4 citations
Biochemistry, Genetics and Molecular Biology · Chemistry · #Advanced Proteomics Techniques and Applications #Bioinformatics and Genomic Networks #Single-cell and spatial transcriptomics

paper · pdf · doi:10.1371/journal.pbio.3001512

openalex publication_date 2022/01/05 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01

Abstract

We normally think of experiments as procedures carefully designed by scientists and engineers. However, some of the best experiments arise from natural processes. For example, evolution and gene segregation during reproduction can be seen as natural experiments that have revealed much about protein functions and about genetic associations with diseases A salient advantage of such natural experiments is that they provide empirical evidence that is inaccessible to human designed experiments because of ethical and technical limitations.

Cited by

• Principles of protein abundance regulation across single cells in a mammalian tissue
• Exploring functional protein covariation across single cells using nPOP
• Single-cell proteomics: quantifying post-transcriptional regulation during development with mass-spectrometry
• Single-Cell Proteomic Technologies: Tools in the quest for principles

Discussions

• Single-cell proteomics can decode what makes individual cells of the same type functionally distinct. 🔬 doi.org/10.1371/jour... [bsky, 1 points, 0 comments]

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