ArticleMethods in molecular biology (Clifton, N.J.)2025
Functional Single-Cell Proteomics: Technology and Biological Applications.
Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Omics Studies in Osteoarthritis: A Review of Molecular Mechanisms and Candidate Molecules.Biomolecules · 2026Review
- Imaging-Guided Omics Technologies for Resolving Rare Cancer States and Advancing Nanomedicine.Nano letters · 2026Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-cell proteomics has the potential to decipher tumor heterogeneity, and methods such as Single-Cell ProtEomics by Mass Spectrometry (SCoPE-MS) allow profiling of several tens of single cells for more than 1,000 proteins per cell. Our laboratory has advanced state-of-the-art single-cell proteomics technology to enable linking proteomes of individual cells with phenotypes of interest. Here, we describe a microscopy-based functional single-cell proteomic profiling technology, called FUNpro, designed for general use in cultured cell lines. FUNpro enables high-throughput, real-time live-cell screening, identification, and isolation of single cells of interest, even when the phenotypes are dynamic or the cells are rare. This chapter outlines a generalized protocol for functional single-cell proteomic profiling and analysis of a standard cancer cell line, including an overview of the microscopy, cell culture, image analysis, photolabeling of cells of interest, fluorescence-activated cell sorting (FACS), and the single-cell proteomics procedures and analyses employed.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.