ArticleMolecular & cellular proteomics : MCP2022
Scaling Up Single-Cell Proteomics.
Article in Molecular & cellular proteomics : MCP, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.
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
42 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Initial recommendations for performing, benchmarking and reporting single-cell proteomics experiments.Nature methods · 2023Guideline
- SoftHybrid: A Hybrid Imputation Algorithm Optimized for Single-Cell Proteomics Data.Journal of proteome research · 2026Article
- What Are the Practical Applications of Single-Cell Proteomics?Proteomes · 2026Article
- Single-Cell Proteomic Technologies: Tools in the Quest for Principles.Annual review of biophysics · 2026Review
- Navigating the Landscape of Cytometry-Based Single-Cell Proteomics: Quantification, Annotation, and Resources.International journal of molecular sciences · 2026Review
- Classification with Missing Data - AbioRxiv : the preprint server for biology · 2026Article
- A label-free method for measuring the composition of multicomponent biomolecular condensates.Nature chemistry · 2025Article
- Unveiling and stratifying cell cycle-dependent drug efficacy using a single-cell PLOM-CON approach with correlation anomaly and presage protein signals.Communications biology · 2025Article
- Evaluating Biocompatibility: From Classical Techniques to State-of-the-Art Functional Proteomics.Nanomaterials (Basel, Switzerland) · 2025Review
- Increasing mass spectrometry throughput using time-encoded sample multiplexing.bioRxiv : the preprint server for biology · 2025Article
- Metabolism in hematology: Technological advances open new perspectives on disease biology and treatment.HemaSphere · 2025Review
- Dynamics of Single-Cell Protein Covariation during Epithelial-Mesenchymal Transition.Journal of proteome research · 2025Article
- Are We There Yet? Assessing the Readiness of Single-Cell Proteomics to Answer Biological Hypotheses.Journal of proteome research · 2025Review
- Review
- Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP.Nature protocols · 2024Article
- Inferring post-transcriptional regulation within and across cell types in human testis.bioRxiv : the preprint server for biology · 2024Article
- Phenotyping Tumor Heterogeneity through Proteogenomics: Study Models and Challenges.International journal of molecular sciences · 2024Review
- Single-nucleus proteomics identifies regulators of protein transport.bioRxiv : the preprint server for biology · 2024Article
- Dynamics of single-cell protein covariation during epithelial-mesenchymal transition.bioRxiv : the preprint server for biology · 2024Article
- Dilute to Enrich for Deeper Proteomics: A Yolk-Depleted Carrier for Limited Populations of Embryonic (Frog) Cells.Journal of proteome research · 2024Article
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
Single-cell tandem MS has enabled analyzing hundreds of single cells per day and quantifying thousands of proteins across the cells. The broad dissemination of these capabilities can empower the dissection of pathophysiological mechanisms in heterogeneous tissues. Key requirements for achieving this goal include robust protocols performed on widely accessible hardware, robust quality controls, community standards, and automated data analysis pipelines that can pinpoint analytical problems and facilitate their timely resolution. Toward meeting these requirements, this perspective outlines both existing resources and outstanding opportunities, such as parallelization, for catalyzing the wide dissemination of quantitative single-cell proteomics analysis that can be scaled up to tens of thousands of single cells. Indeed, simultaneous parallelization of the analysis of peptides and single cells is a promising approach for multiplicative increase in the speed of performing deep and quantitative single-cell proteomics. The community is ready to begin a virtuous cycle of increased adoption fueling the development of more technology and resources for single-cell proteomics that in turn drive broader adoption, scientific discoveries, and clinical applications.
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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.