ArticleNature communications2022
Streamlined single-cell proteomics by an integrated microfluidic chip and data-independent acquisition mass spectrometry.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers.
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Who cites it
108 citing papers in PubMed.
- Probing the proteome at cellular scale.Nature · 2026Article
- Single-Cell Proteomics Reveals Proteome Remodeling and Cellular Heterogeneity During NGF-Induced PC12 Neuronal Differentiation.ACS chemical neuroscience · 2026Article
- Molecular profiling of the single-cell proteome via gel electrophoresis and 3D single-molecule imaging.Nature communications · 2026Article
- Proteomics-based insights into mammalian oocyte and early embryo development.Nature cell biology · 2026Review
- Advanced technologies of single-cell metabolomics unveiling cellular metabolic heterogeneity for biological and biomedical research.Journal of food and drug analysis · 2026Review
- Review
- Single-Cell Protein Assays in Context: From 2D to 3D and In Situ Analysis.Annual review of analytical chemistry (Palo Alto, Calif.) · 2026Review
- Single-Cell Proteomic Technologies: Tools in the Quest for Principles.Annual review of biophysics · 2026Review
- Exploiting Selective Position Labeling to Unveil the Hidden Complexity of Terminomics.Molecules (Basel, Switzerland) · 2026Review
- MiProChip: A Scalable Microfluidic Platform for Multiplexed Single-Cell Proteomics via Isobaric Labeling.Analytical chemistry · 2026Article
- Single-cell metabolic accumulation analysis by microfluidic hydrogel microspheres combined with mass spectrometry.Chemical science · 2026Article
- Tumor-on-chip's alliance with molecular pathology against metastatic disease.Journal of biomedical science · 2026Review
- Editorial: Multiomics advances: bridging gaps in understanding intricate biological systems.Frontiers in plant science · 2026Article
- Data-independent acquisition-based quantitative proteomics in plants.Frontiers in plant science · 2026Review
- Analytical Techniques as Indicators of Biomarkers in Proteomics Cancer Diagnosis.Anti-cancer agents in medicinal chemistry · 2026Review
- Advances in microfluidic chip technology for cell analysis.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2025Review
- The pursuit of ultrasensitive phosphoproteomics to unravel signalling in rare cells.Communications biology · 2025Review
- Benchmarking informatics workflows for data-independent acquisition single-cell proteomics.Nature communications · 2025Article
- Transforming microfluidics for single-cell analysis with robotics and artificial intelligence.Lab on a chip · 2025Review
- Real-Time Eco-AI, Electrophoresis-Correlative Data-Dependent Acquisition with AI-Based Data Processing Broadens Access to Single-Cell Mass Spectrometry Proteomics.Angewandte Chemie (International ed. in English) · 2025Article
48 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-cell proteomics can reveal cellular phenotypic heterogeneity and cell-specific functional networks underlying biological processes. Here, we present a streamlined workflow combining microfluidic chips for all-in-one proteomic sample preparation and data-independent acquisition (DIA) mass spectrometry (MS) for proteomic analysis down to the single-cell level. The proteomics chips enable multiplexed and automated cell isolation/counting/imaging and sample processing in a single device. Combining chip-based sample handling with DIA-MS using project-specific mass spectral libraries, we profile on average ~1,500 protein groups across 20 single mammalian cells. Applying the chip-DIA workflow to profile the proteomes of adherent and non-adherent malignant cells, we cover a dynamic range of 5 orders of magnitude with good reproducibility and <16% missing values between runs. Taken together, the chip-DIA workflow offers all-in-one cell characterization, analytical sensitivity and robustness, and the option to add additional functionalities in the future, thus providing a basis for advanced single-cell proteomics 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.