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Automated sample preparation for high-throughput single-cell proteomics
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1021/ac902218yopenalex-snapshot
Integrated Microfluidic Device for Automated Single Cell Analysis Using Electrophoretic Separation and Electrospray Ionization Mass Spectrometry
inferredcites →https://doi.org/10.1021/acs.jproteome.5b00547openalex-snapshot
A High-Efficiency Cellular Extraction System for Biological Proteomics
inferredcites →https://doi.org/10.1021/acs.jproteome.7b00433openalex-snapshot
Evaluation of FASP, SP3, and iST Protocols for Proteomic Sample Preparation in the Low Microgram Range
inferredcites →https://doi.org/10.1021/acs.jproteome.8b00257openalex-snapshot
Transformative Opportunities for Single-Cell Proteomics
inferredcites →https://doi.org/10.1021/acs.jproteome.8b00484openalex-snapshot
Innovations in Proteomics: The Drive to Single Cells
inferredcites →https://doi.org/10.1021/pr101065jopenalex-snapshot
Andromeda: A Peptide Search Engine Integrated into the MaxQuant Environment
inferredcites →https://doi.org/10.1038/nbt.1511openalex-snapshot
MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification
inferredcites →https://doi.org/10.1038/nmeth.2834openalex-snapshot
Minimal, encapsulated proteomic-sample processing applied to copy-number estimation in eukaryotic cells
inferredcites →https://doi.org/10.1038/nprot.2007.261openalex-snapshot
Protocol for micro-purification, enrichment, pre-fractionation and storage of peptides for proteomics using StageTips
inferredcites →https://doi.org/10.1038/nprot.2016.136openalex-snapshot
The MaxQuant computational platform for mass spectrometry-based shotgun proteomics
inferredcites →https://doi.org/10.1038/s41467-018-03367-wopenalex-snapshot
Nanodroplet processing platform for deep and quantitative proteome profiling of 10–100 mammalian cells
inferredcites →https://doi.org/10.1042/ebc20180014openalex-snapshot
Single cell protein analysis for systems biology
inferredcites →https://doi.org/10.1074/mcp.m114.045724openalex-snapshot
An Integrated Platform for Isolation, Processing, and Mass Spectrometry-based Proteomic Profiling of Rare Cells in Whole Blood*
inferredcites →https://doi.org/10.1101/399121openalex-snapshot
DART-ID increases single-cell proteome coverage
inferredcites →https://doi.org/10.1186/s13059-018-1547-5openalex-snapshot
SCoPE-MS: mass spectrometry of single mammalian cells quantifies proteome heterogeneity during cell differentiation
inferredcites →https://doi.org/10.1210/en.2015-1821openalex-snapshot
SNaPP: Simplified Nanoproteomics Platform for Reproducible Global Proteomic Analysis of Nanogram Protein Quantities
inferredcites →https://doi.org/10.1371/journal.pone.0124958openalex-snapshot
MXS-Chaining: A Highly Efficient Cloning Platform for Imaging and Flow Cytometry Approaches in Mammalian Systems
inferredcites →https://doi.org/10.15252/msb.20145625openalex-snapshot
Ultrasensitive proteome analysis using paramagnetic bead technology
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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The rise of single‐cell proteomics
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Targeted and Untargeted Amine Metabolite Quantitation in Single Cells with Isobaric Multiplexing
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The Current State of Single‐Cell Proteomics Data Analysis
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Nano‐liquid chromatography with a new nano‐structured monolithic nanocolumn for proteomics analysis
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Microproteomic sample preparation
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Automation of single‐cell proteomic sample preparation
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Label‐free single cell proteomics utilizing ultrafast LC and MS instrumentation: A valuable complementary technique to multiplexing
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Single‐cell proteomics by mass spectrometry: Advances and implications in cancer research
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Advancements in Single‐Cell Proteomics and Mass Spectrometry‐Based Techniques for Unmasking Cellular Diversity in Triple Negative Breast Cancer
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Mass Spectrometry-Based Analytical Strategy for Single-Cell Proteomics
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Single-Cell Proteomics Analysis with Tecan Uno and SCREEN Workflow
inferred← citeshttps://doi.org/10.1007/s00216-023-04759-8openalex-snapshot
A review of the current state of single-cell proteomics and future perspective
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An automated spray-capillary platform for the microsampling and CE-MS analysis of picoliter- and nanoliter-volume samples
inferred← citeshttps://doi.org/10.1007/s00216-024-05171-6openalex-snapshot
A critical evaluation of ultrasensitive single-cell proteomics strategies
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Single-cell omics: experimental workflow, data analyses and applications
inferred← citeshttps://doi.org/10.1016/j.aca.2021.338551openalex-snapshot
Liquid chromatography, a key tool for the advancement of single-cell omics analysis
inferred← citeshttps://doi.org/10.1016/j.aca.2023.341038openalex-snapshot
A rapid and sensitive single-cell proteomic method based on fast liquid-chromatography separation, retention time prediction and MS1-only acquisition
inferred← citeshttps://doi.org/10.1016/j.bbamcr.2022.119266openalex-snapshot
Proteomics approaches to characterize the immune responses in cancer
inferred← citeshttps://doi.org/10.1016/j.copbio.2022.102736openalex-snapshot
MS-based technologies for untargeted single-cell proteomics
inferred← citeshttps://doi.org/10.1016/j.crmeth.2022.100237openalex-snapshot
Microscopy-based single-cell proteomic profiling reveals heterogeneity in DNA damage response dynamics
inferred← citeshttps://doi.org/10.1016/j.ijms.2022.116920openalex-snapshot
Separation methods in single-cell proteomics: RPLC or CE?
inferred← citeshttps://doi.org/10.1016/j.mcpro.2021.100179openalex-snapshot
Scaling Up Single-Cell Proteomics
inferred← citeshttps://doi.org/10.1016/j.mcpro.2024.100798openalex-snapshot
Rescoring Peptide Spectrum Matches: Boosting Proteomics Performance by Integrating Peptide Property Predictors Into Peptide Identification
inferred← citeshttps://doi.org/10.1016/j.molmet.2022.101635openalex-snapshot
Monitoring and modelling the dynamics of the cellular glycolysis pathway: A review and future perspectives
inferred← citeshttps://doi.org/10.1016/j.trac.2020.116005openalex-snapshot
Mass spectrometry-based proteomics of single cells and organoids: The new generation of cancer research
inferred← citeshttps://doi.org/10.1021/acs.analchem.0c00077openalex-snapshot
NanoTPOT: Enhanced Sample Preparation for Quantitative Nanoproteomic Analysis
inferred← citeshttps://doi.org/10.1021/acs.analchem.1c04188openalex-snapshot
Phosphoproteome Profiling Using an Isobaric Carrier without the Need for Phosphoenrichment
inferred← citeshttps://doi.org/10.1021/acs.analchem.1c05487openalex-snapshot
Water Droplet-in-Oil Digestion Method for Single-Cell Proteomics
inferred← citeshttps://doi.org/10.1021/acs.analchem.3c04497openalex-snapshot
Instrumentation at the Leading Edge of Proteomics
inferred← citeshttps://doi.org/10.1021/acs.analchem.4c03709openalex-snapshot
SIGNIFICANT IMPACT OF CONSUMABLE MATERIAL AND BUFFER COMPOSITION FOR LOW-CELL NUMBER PROTEOMIC SAMPLE PREPARATION
inferred← citeshttps://doi.org/10.1021/acs.analchem.4c05003openalex-snapshot
Simple In-Cell Processing Enables Deep Proteome Analysis of Low-Input Caenorhabditis elegans
inferred← citeshttps://doi.org/10.1021/acs.chemrev.1c00217openalex-snapshot
Characterizing Endogenous Protein Complexes with Biological Mass Spectrometry
inferred← citeshttps://doi.org/10.1021/acs.jproteome.0c00338openalex-snapshot
Addressing Cellular Heterogeneity in Cancer through Precision Proteomics
inferred← citeshttps://doi.org/10.1021/acs.jproteome.0c00675openalex-snapshot
Optimizing Accuracy and Depth of Protein Quantification in Experiments Using Isobaric Carriers
inferred← citeshttps://doi.org/10.1021/acs.jproteome.2c00721openalex-snapshot
Strategies for Increasing the Depth and Throughput of Protein Analysis by plexDIA
inferred← citeshttps://doi.org/10.1021/acs.jproteome.4c00277openalex-snapshot
Dynamics of Single-Cell Protein Covariation during Epithelial–Mesenchymal Transition
inferred← citeshttps://doi.org/10.1021/acs.jproteome.9b00039openalex-snapshot
DO-MS: Data-Driven Optimization of Mass Spectrometry Methods
inferred← citeshttps://doi.org/10.1021/acs.jproteome.9b00455openalex-snapshot
Automated ?Cells-To-Peptides? Sample Preparation Workflow for High-Throughput, Quantitative Proteomic Assays of Microbes
inferred← citeshttps://doi.org/10.1021/acsomega.3c01392openalex-snapshot
One-STAGE Tip Method for TMT-Based Proteomic Analysis of a Minimal Amount of Cells
inferred← citeshttps://doi.org/10.1021/jasms.3c00238openalex-snapshot
Simple Tool for Rapidly Assessing the Quality of Multiplexed Single Cell Proteomics Data
inferred← citeshttps://doi.org/10.1038/s41587-022-01389-wopenalex-snapshot
Increasing the throughput of sensitive proteomics by plexDIA
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Initial recommendations for performing, benchmarking and reporting single-cell proteomics experiments
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Sampling the proteome by emerging single-molecule and mass spectrometry methods
inferred← citeshttps://doi.org/10.1038/s41592-023-01830-1openalex-snapshot
Prioritized mass spectrometry increases the depth, sensitivity and data completeness of single-cell proteomics
inferred← citeshttps://doi.org/10.1038/s41596-021-00616-zopenalex-snapshot
Multiplexed single-cell proteomics using SCoPE2
inferred← citeshttps://doi.org/10.1038/s41596-024-01033-8openalex-snapshot
Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP
inferred← citeshttps://doi.org/10.1038/s41598-026-45228-3openalex-snapshot
Low-resolution FAIMS for increased peptide coverage in low-load and single-cell proteomics
inferred← citeshttps://doi.org/10.1038/s42003-025-09131-3openalex-snapshot
The pursuit of ultrasensitive phosphoproteomics to unravel signalling in rare cells
inferred← citeshttps://doi.org/10.1039/d3mo00124eopenalex-snapshot
Single cell proteomics analysis of drug response shows its potential as a drug discovery platform
inferred← citeshttps://doi.org/10.1073/pnas.2112040119openalex-snapshot
FASN-dependent de novo lipogenesis is required for brain development
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Approaching complexity: systems biology and ms-based techniques to address immune signaling
inferred← citeshttps://doi.org/10.1101/2021.06.23.449560openalex-snapshot
Aliquoting of isobaric labeling reagents for low concentration and single cell proteomics samples
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Functional single cell proteomic profiling of cells with abnormal DNA damage response dynamics
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Slice-PASEF: Maximising Ion Utilisation in LC-MS Proteomics
inferred← citeshttps://doi.org/10.1101/2023.08.11.552890openalex-snapshot
DEC1 is an adult clock regulator that links circadian rhythms to functional β-cell maturation
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Single-nucleus proteomics identifies regulators of protein transport
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Discovery and characterization of a pancreatic β cell subpopulation expressing an unknown surface epitope through single cell proteomics
inferred← citeshttps://doi.org/10.1101/399121openalex-snapshot
DART-ID increases single-cell proteome coverage
inferred← citeshttps://doi.org/10.1101/665307openalex-snapshot
Single-cell proteomic and transcriptomic analysis of macrophage heterogeneity
inferred← citeshttps://doi.org/10.1101/gr.279707.124openalex-snapshot
Post-transcriptional cross- and auto-regulation buffer expression of the human RNA helicases DDX3X and DDX3Y
inferred← citeshttps://doi.org/10.1111/febs.15685openalex-snapshot
Imaging the future: the emerging era of single‐cell spatial proteomics
inferred← citeshttps://doi.org/10.1111/nph.19923openalex-snapshot
Single‐cell proteomics differentiates Arabidopsis root cell types
inferred← citeshttps://doi.org/10.1126/sciadv.aax8978openalex-snapshot
Beyond mass spectrometry, the next step in proteomics
inferred← citeshttps://doi.org/10.1126/science.abo4837openalex-snapshot
Quality assurance of hematopoietic stem cells by macrophages determines stem cell clonality
inferred← citeshttps://doi.org/10.1186/s13059-018-1547-5openalex-snapshot
SCoPE-MS: mass spectrometry of single mammalian cells quantifies proteome heterogeneity during cell differentiation
inferred← citeshttps://doi.org/10.1186/s13059-021-02267-5openalex-snapshot
Single-cell proteomic and transcriptomic analysis of macrophage heterogeneity using SCoPE2
inferred← citeshttps://doi.org/10.1186/s13059-022-02817-5openalex-snapshot
Exploring functional protein covariation across single cells using nPOP
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1007082openalex-snapshot
DART-ID increases single-cell proteome coverage
inferred← citeshttps://doi.org/10.1371/journal.pone.0264467openalex-snapshot
Modular automated bottom-up proteomic sample preparation for high-throughput applications
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Increasing the consistency, coverage, and selectivity of single-cell proteomics via priortized LC-MS/MS sample analysis methods
inferred← citeshttps://doi.org/10.3389/fnmol.2023.1215425openalex-snapshot
Brain cell type specific proteomics approach to discover pathological mechanisms in the childhood CNS disorder mucolipidosis type IV
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Advances in Mass Spectrometry-Based Single Cell Analysis
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Single-Cell Proteomics: The Critical Role of Nanotechnology
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Evaluation of the Sensitivity of Proteomics Methods Using the Absolute Copy Number of Proteins in a Single Cell as a Metric
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