ArticleMolecular & cellular proteomics : MCP2020
An Improved Boosting to Amplify Signal with Isobaric Labeling (iBASIL) Strategy for Precise Quantitative Single-cell Proteomics.
Article in Molecular & cellular proteomics : MCP, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.
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Who cites it
85 citing papers in PubMed.
- Detecting protein higher-order structural changes using kinase as a phospho-labeler.Cell reports methods · 2026Article
- What Are the Practical Applications of Single-Cell Proteomics?Proteomes · 2026Article
- Single-Cell Protein Assays in Context: From 2D to 3D and In Situ Analysis.Annual review of analytical chemistry (Palo Alto, Calif.) · 2026Review
- Integrating MACSPI and SILAC for Neuron Type-specific Proteomics in Caenorhabditis elegans.Molecular & cellular proteomics : MCP · 2026Article
- Analysis of isobaric quantitative proteomic data using TMT-Integrator and FragPipe computational platform.Nature communications · 2026Article
- Multiplexed Quantitation of Post-Translationally Modified Peptides in Single Cells Using Triggered MS/MS Combined with Super Heavy Tandem Mass Tags.Journal of proteome research · 2026Article
- High-Throughput Label-free Single-Cell Proteomics Enabled by Multicolumn NanoLC with a 5-min Cycle Time.Research square · 2025Article
- SLB-msSIM: A Spectral Library-Based Multiplex Segmented SIM Platform for Single-Cell Proteomic Analysis.Proteomics · 2025Article
- Boosting Quantification of N-Glycans by an Enhanced Isobaric Multiplex Reagents for Carbonyl-Containing Compound (SUGAR) Tagging Strategy.Journal of the American Society for Mass Spectrometry · 2025Article
- Mass Spectrometry-based Solutions for Single-cell Proteomics.Genomics, proteomics & bioinformatics · 2025Review
- Multiplexed phosphoproteomics of low cell numbers using SPARCE.Communications biology · 2025Article
- Increasing Proteome Coverage Through a Reduction in Analyte Complexity in Single-Cell Equivalent Samples.Journal of proteome research · 2025Article
- Trends in Mass Spectrometry-Based Single-Cell Proteomics.Analytical chemistry · 2025Review
- Robust collection and processing for label-free single voxel proteomics.Nature communications · 2025Article
- Single-cell omics: experimental workflow, data analyses and applications.Science China. Life sciences · 2025Review
- Functional Single-Cell Proteomics: Technology and Biological Applications.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Data acquisition approaches for single cell proteomics.Proteomics · 2025Review
- Targeted and Untargeted Amine Metabolite Quantitation in Single Cells with Isobaric Multiplexing.Chemistry (Weinheim an der Bergstrasse, Germany) · 2024Article
- Deep phosphotyrosine characterisation of primary murine T cells using broad spectrum optimisation of selective triggering.Proteomics · 2024Article
- Coupling Microdroplet-Based Sample Preparation, Multiplexed Isobaric Labeling, and Nanoflow Peptide Fractionation for Deep Proteome Profiling of the Tissue Microenvironment.Analytical chemistry · 2024Article
25 more citing papers are in PubMed but not listed here.
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Authors and funding
12 authors.
Funding
Abstract
Mass spectrometry (MS)-based proteomics has great potential for overcoming the limitations of antibody-based immunoassays for antibody-independent, comprehensive, and quantitative proteomic analysis of single cells. Indeed, recent advances in nanoscale sample preparation have enabled effective processing of single cells. In particular, the concept of using boosting/carrier channels in isobaric labeling to increase the sensitivity in MS detection has also been increasingly used for quantitative proteomic analysis of small-sized samples including single cells. However, the full potential of such boosting/carrier approaches has not been significantly explored, nor has the resulting quantitation quality been carefully evaluated. Herein, we have further evaluated and optimized our recent boosting to amplify signal with isobaric labeling (BASIL) approach, originally developed for quantifying phosphorylation in small number of cells, for highly effective analysis of proteins in single cells. This improved BASIL (iBASIL) approach enables reliable quantitative single-cell proteomics analysis with greater proteome coverage by carefully controlling the boosting-to-sample ratio (
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