ReviewThe FEBS journal2019
Beyond the message: advantages of snapshot proteomics with single-cell mass cytometry in solid tumors.
Review in The FEBS journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed, 33 citations in OpenAlex.
- Applications of single-cell analysis in immunotherapy for lung cancer: Current progress, new challenges and expectations.Journal of advanced research · 2025Review
- The Application of Single-Cell Technologies for Vaccine Development Against Viral Infections.Vaccines · 2025Review
- Mass Spectrometry-Based Proteogenomics: New Therapeutic Opportunities for Precision Medicine.Annual review of pharmacology and toxicology · 2024Review
- Single-cell mass cytometry in immunological skin diseases.Frontiers in immunology · 2024Review
- Single Cell-ICP-ToF-MS for the Multiplexed Determination of Proteins: Evaluation of the Cellular Stress Response.Analytical chemistry · 2023Article
- Learning cell identity in immunology, neuroscience, and cancer.Seminars in immunopathology · 2023Review
- Integrated T cell cytometry metrics for immune-monitoring applications in immunotherapy clinical trials.JCI insight · 2022Article
- Single cell metabolism: current and future trends.Metabolomics : Official journal of the Metabolomic Society · 2022Review
- Mass Cytometry for the Characterization of Individual Cell Types in Ovarian Solid Tumors.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Article
- Fundamental studies on droplet throughput and the analysis of single cells using a downward-pointing ICP-time-of-flight mass spectrometer.Journal of analytical atomic spectrometry · 2021Article
- The Evolution of Single-Cell Analysis and Utility in Drug Development.The AAPS journal · 2021Review
- Article
- Cancer: a mirrored room between tumor bulk and tumor microenvironment.Journal of experimental & clinical cancer research : CR · 2021Review
- Article
- Multi-Omics Comparison of the Spontaneous Diabetes Mellitus and Diet-Induced Prediabetic Macaque Models.Frontiers in pharmacology · 2021Article
- Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy.bioRxiv : the preprint server for biology · 2020Article
- Cancer systems immunology.eLife · 2020Review
- Article
- Resolving Metabolic Heterogeneity in Experimental Models of the Tumor Microenvironment from a Stable Isotope Resolved Metabolomics Perspective.Metabolites · 2020Review
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 2 institutions in 1 country.
Funding
Abstract
Single-cell technologies that can quantify features of individual cells within a tumor are critical for treatment strategies aiming to target cancer cells while sparing or activating beneficial cells. Given that key players in protein networks are often the primary targets of precision oncology strategies, it is imperative to transcend the nucleic acid message and read cellular actions in human solid tumors. Here, we review the advantages of multiplex, single-cell mass cytometry in tissue and solid tumor investigations. Mass cytometry can quantitatively probe nearly any cellular feature or target. In discussing the ability of mass cytometry to reveal and characterize a broad spectrum of cell types, identify rare cells, and study functional behavior through protein signaling networks in millions of individual cells from a tumor, this review surveys publications of scientific advances in solid tumor biology made with the aid of mass cytometry. Advances discussed include functional identification of rare tumor and tumor-infiltrating immune cells and dissection of cellular mechanisms of immunotherapy in solid tumors and the periphery. The review concludes by highlighting ways to incorporate single-cell mass cytometry in solid tumor precision oncology efforts and rapidly developing cytometry techniques for quantifying cell location and sequenced nucleic acids.
Indexed as
Identifiers
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.