ReviewNature reviews. Chemistry2020
Single-cell analysis targeting the proteome.
Review in Nature reviews. Chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 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
108 citing papers in PubMed.
- Pilot proteomics study of three different human femur sites and autologous serum samples.Bone reports · 2026Article
- Article
- Transcriptional landscape of direct reprogramming toward the hematopoietic lineage.bioRxiv : the preprint server for biology · 2026Article
- An Artificial Antibody-Based Toolbox Accelerates Validation of Hidden Microproteins Encoded by the Dark Genome.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Navigating the Landscape of Cytometry-Based Single-Cell Proteomics: Quantification, Annotation, and Resources.International journal of molecular sciences · 2026Review
- A sequence knowledge-guided deep learning method for single-cell multi-omics translation.Genome biology · 2026Article
- Building a credibility-based framework for target discovery: Perspectives from tRNA synthetase-linked metabolic diseases.Briefings in bioinformatics · 2026Article
- Navigating the data processing for cytometry-based single-cell proteomics.Nature protocols · 2026Review
- Analytical Techniques as Indicators of Biomarkers in Proteomics Cancer Diagnosis.Anti-cancer agents in medicinal chemistry · 2026Review
- Targeting the Dynamics Between TAMs and CAR-T Cells in Solid Tumor Therapies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Review
- Frontier Technologies in Single-Cell Analysis: Synergistic Fusion of Droplet Printing and High-Performance Detection System.Analytical science advances · 2025Review
- Histone supply: a precious commodity for cell identity.The Biochemical journal · 2025Review
- Comparative benchmarking of single-cell clustering algorithms for transcriptomic and proteomic data.Genome biology · 2025Article
- Single-cell epigenomics and proteomics methods integrated in multiomics.Fundamental research · 2025Review
- From Microbial Switches to Metabolic Sensors: Rewiring the Gut-Brain Kynurenine Circuit.Biomedicines · 2025Review
- Identification and Drug Screening of Single Cells from Human Tumors on Semiconductor Chip for Cancer Precision Medicine.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- A comparison of integration methods for single-cell RNA sequencing data and ATAC sequencing data.Quantitative biology (Beijing, China) · 2025Review
- Metabolism in hematology: Technological advances open new perspectives on disease biology and treatment.HemaSphere · 2025Review
- SCPline: An interactive framework for the single-cell proteomics data preprocessing.Briefings in bioinformatics · 2025Article
48 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The existence of cellular heterogeneity and its central relevance to biological phenomena provides a strong rationale for a need for analytical methods that enable analysis at the single-cell level. Analysis of the genome and transcriptome is possible at the single-cell level, but the comprehensive interrogation of the proteome with this level of resolution remains challenging. Single-cell protein analysis tools are advancing rapidly, however, and providing insights into collections of proteins with great relevance to cell and disease biology. Here, we review single-cell protein analysis technologies and assess their advantages and limitations. The emerging technologies presented have the potential to reveal new insights into tumour heterogeneity and therapeutic resistance, elucidate mechanisms of immune response and immunotherapy, and accelerate drug discovery.
Identifiers
37128021What 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.