ReviewProteomics2020
Deep Profiling of Cellular Heterogeneity by Emerging Single-Cell Proteomic Technologies.
Review in Proteomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
29 citing papers in PubMed.
- Spatial omics insights into tumor myeloid cells: roles in tumorigenesis, prognosis, and therapy.Molecular biology reports · 2026Review
- Single-cell metabolic accumulation analysis by microfluidic hydrogel microspheres combined with mass spectrometry.Chemical science · 2026Article
- Metabolic and post-translational modifications in sepsis-associated immune dysfunction: a conceptual framework.Frontiers in immunology · 2026Review
- Molecular Pathways and Biomarkers in Endometrial Carcinoma: Paving the Way for Precision Medicine.Anti-cancer agents in medicinal chemistry · 2026Review
- Biomaterial-mediated Cell Atlas: an insight from single-cell and spatial transcriptomics.Bioactive materials · 2025Review
- In-Depth Cell-Type-Specific Proteome Landscape of the Brain from Human Amyloid-β Overexpression Mouse Model.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- High-Throughput Single-Cell Analysis of Local Nascent Protein Deposition in 3D Microenvironments via Extracellular Protein Identification Cytometry (EPIC).Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Distinct Proteomic Brain States Underlying Long-Term Memory Formation in Aversive Operant Conditioning.Journal of proteome research · 2025Article
- The role of B lymphocyte subsets in nephrotic syndrome: functions, mechanisms, clinical significance and future perspectives.Frontiers in immunology · 2025Review
- Detection of >400 Cluster of Differentiation Biomarkers and Pathway Proteins in Single Immune Cells by Cyclic MultiplexAnalytical chemistry · 2024Article
- Coupling Microdroplet-Based Sample Preparation, Multiplexed Isobaric Labeling, and Nanoflow Peptide Fractionation for Deep Proteome Profiling of the Tissue Microenvironment.Analytical chemistry · 2024Article
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- Article
- Full spectrum flow cytometry and mass cytometry: A 32-marker panel comparison.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2022Article
- Single cell metabolism: current and future trends.Metabolomics : Official journal of the Metabolomic Society · 2022Review
- Cyclic microchip assay for measurement of hundreds of functional proteins in single neurons.Nature communications · 2022Article
- Spatial Multiplex In Situ Tagging (MIST) Technology for Rapid, Highly Multiplexed Detection of Protein Distribution on Brain Tissue.Analytical chemistry · 2022Article
- A deeper look at carrier proteome effects for single-cell proteomics.Communications biology · 2022Article
- Single-Cell RNA-Seq Analysis of Olfactory Mucosal Cells of Alzheimer's Disease Patients.Cells · 2022Article
- To the proteome and beyond: advances in single-cell omics profiling for plant systems.Plant physiology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The ability to comprehensively profile cellular heterogeneity in functional proteome is crucial in advancing the understanding of cell behavior, organism development, and disease mechanisms. Conventional bulk measurement by averaging the biological responses across a population often loses the information of cellular variations. Single-cell proteomic technologies are becoming increasingly important to understand and discern cellular heterogeneity. The well-established methods for single-cell protein analysis based on flow cytometry and fluorescence microscopy are limited by the low multiplexing ability owing to the spectra overlap of fluorophores for labeling antibodies. Recent advances in mass spectrometry (MS), microchip, and reiterative staining-based techniques for single-cell proteomics have enabled the evaluation of cellular heterogeneity with high throughput, increased multiplexity, and improved sensitivity. In this review, the principles, developments, advantages, and limitations of these advanced technologies in analysis of single-cell proteins, along with their biological applications to study cellular heterogeneity, are described. At last, the remaining challenges, possible strategies, and future opportunities that will facilitate the improvement and broad applications of single-cell proteomic technologies in cell biology and medical research are discussed.
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What OpenQuestion holds
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.