ReviewCells2020
Advances of Single-Cell Protein Analysis.
Review in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 38 citations in OpenAlex.
- Rapid-manufacturing and cost-effective single-layer microfluidic device for high-throughput three-dimensional hydrodynamic focusing.Microsystems & nanoengineering · 2026Article
- Preconditioning with hydrogen gas produces cardioprotective effects through autophagy activation in rat cardiomyocytes.BMC pharmacology & toxicology · 2025Article
- Single-cell spatial proteomics.Histology and histopathology · 2025Review
- Single-cell omics: experimental workflow, data analyses and applications.Science China. Life sciences · 2025Review
- Deciphering cellular complexity: advances and future directions in single-cell protein analysis.Frontiers in bioengineering and biotechnology · 2024Review
- Emerging technologies in adipose tissue research.Adipocyte · 2023Review
- An automated spray-capillary platform for the microsampling and CE-MS analysis of picoliter- and nanoliter-volume samples.Analytical and bioanalytical chemistry · 2023Article
- Recent developments in application of single-cell RNA sequencing in the tumour immune microenvironment and cancer therapy.Military Medical Research · 2022Review
- Intraparticle Kinetics Unveil Crowding and Enzyme Distribution Effects on the Performance of Cofactor-Dependent Heterogeneous Biocatalysts.ACS catalysis · 2021Article
- Multiplex protein analysis for the study of glaucoma.Expert review of proteomics · 2021Review
- An overview of multiplexed analyses of CAR T-cell therapies: insights and potential.Expert review of proteomics · 2021Article
- Quantitative Approach for Protein Analysis in Small Cell Ensembles by an Integrated Microfluidic Chip with MALDI Mass Spectrometry.Analytical chemistry · 2021Article
- Article
- Single-Cell Analysis.Cells · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Proteins play a significant role in the key activities of cells. Single-cell protein analysis provides crucial insights in studying cellular heterogeneities. However, the low abundance and enormous complexity of the proteome posit challenges in analyzing protein expressions at the single-cell level. This review summarizes recent advances of various approaches to single-cell protein analysis. We begin by discussing conventional characterization approaches, including fluorescence flow cytometry, mass cytometry, enzyme-linked immunospot assay, and capillary electrophoresis. We then detail the landmark advances of microfluidic approaches for analyzing single-cell protein expressions, including microfluidic fluorescent flow cytometry, droplet-based microfluidics, microwell-based assay (microengraving), microchamber-based assay (barcoding microchips), and single-cell Western blotting, among which the advantages and limitations are compared. Looking forward, we discuss future research opportunities and challenges for multiplexity, analyte, throughput, and sensitivity of the microfluidic approaches, which we believe will prompt the research of single-cell proteins such as the molecular mechanism of cell biology, as well as the clinical applications for tumor treatment and drug development.
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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.