ArticleAnalytical chemistry2019
Single Cell Proteomics by Data-Independent Acquisition To Study Embryonic Asymmetry in
Article in Analytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 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
31 citing papers in PubMed, 53 citations in OpenAlex.
- Subcellular mass spectrometry reveals proteome remodeling in an asymmetrically dividing (frog) embryonic stem cell.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- 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
- Data-Independent Acquisition Shortens the Analytical Window of Single-Cell Proteomics to Fifteen Minutes in Capillary Electrophoresis Mass Spectrometry.Journal of proteome research · 2025Article
- Data acquisition approaches for single cell proteomics.Proteomics · 2025Review
- Development and Validation of RoboCap, a Robotic Capillary Platform to Automate Capillary Electrophoresis Mass Spectrometry En Route to High-Throughput Single-Cell Proteomics.Analytical chemistry · 2024Article
- Coupling Microdroplet-Based Sample Preparation, Multiplexed Isobaric Labeling, and Nanoflow Peptide Fractionation for Deep Proteome Profiling of the Tissue Microenvironment.Analytical chemistry · 2024Article
- Bringing CAM photosynthesis to the table: Paving the way for resilient and productive agricultural systems in a changing climate.Plant communications · 2024Review
- Dilute to Enrich for Deeper Proteomics: A Yolk-Depleted Carrier for Limited Populations of Embryonic (Frog) Cells.Journal of proteome research · 2024Article
- Mass Spectrometry-Based Proteogenomics: New Therapeutic Opportunities for Precision Medicine.Annual review of pharmacology and toxicology · 2024Review
- Microanalytical Mass Spectrometry with Super-Resolution Microscopy Reveals a Proteome Transition During Development of the Brain's Circadian Pacemaker.Analytical chemistry · 2023Article
- Robust dimethyl-based multiplex-DIA doubles single-cell proteome depth via a reference channel.Molecular systems biology · 2023Article
- Proteome Mapping of the Human Pancreatic Islet Microenvironment Reveals Endocrine-Exocrine Signaling Sphere of Influence.Molecular & cellular proteomics : MCP · 2023Article
- Review
- Production and characterization of monoclonal antibodies to Xenopus proteins.Development (Cambridge, England) · 2023Article
- Epigenomic dynamics of early Xenopus Embryos.Development, growth & differentiation · 2022Review
- Separation methods in single-cell proteomics: RPLC or CE?International journal of mass spectrometry · 2022Article
- Cell-Lineage Guided Mass Spectrometry Proteomics in the Developing (Frog) Embryo.Journal of visualized experiments : JoVE · 2022Article
- Label-Free Profiling of up to 200 Single-Cell Proteomes per Day Using a Dual-Column Nanoflow Liquid Chromatography Platform.Analytical chemistry · 2022Article
- High-Throughput, Comprehensive Single-Cell Proteomic Analysis ofAnalytical chemistry · 2022Article
- To the proteome and beyond: advances in single-cell omics profiling for plant systems.Plant physiology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Techniques that allow single cell analysis are gaining widespread attention, and most of these studies utilize genomics-based approaches. While nanofluidic technologies have enabled mass spectrometric analysis of single cells, these measurements have been limited to metabolomics and lipidomic studies. Single cell proteomics has the potential to improve our understanding of intercellular heterogeneity. However, this approach has faced challenges including limited sample availability, as well as a requirement of highly sensitive methods for sample collection, cleanup, and detection. We present a technique to overcome these limitations by combining a micropipette (pulled glass capillary) based sample collection strategy with offline sample preparation and nanoLC-MS/MS to analyze proteins through a bottom-up proteomic strategy. This study explores two types of proteomics data acquisition strategies namely data-dependent (DDA) and data-independent acquisition (DIA). Results from the study indicate DIA to be more sensitive enabling analysis of >1600 proteins from ∼130 μm
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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.