4.7 Article

Three-dimensional feature matching improves coverage for single-cell proteomics based on ion mobility filtering

Related references

Note: Only part of the references are listed.
Article Biochemical Research Methods

Defining the carrier proteome limit for single-cell proteomics

Tommy K. Cheung et al.

Summary: Single-cell proteomics by mass spectrometry (SCoPE-MS) is a novel method to quantify multiplexed single-cell proteomes, but it faces technical limitations related to isobaric labeling and mass spectrometry. Increasing carrier proteome levels requires a corresponding increase in the number of ions sampled to maintain quantitative accuracy. The introduction of SCPCompanion software assists in rapid evaluation of single-cell proteomic data and recommends parameters for improved data quality.

NATURE METHODS (2021)

Article Multidisciplinary Sciences

High-throughput and high-efficiency sample preparation for single-cell proteomics using a nested nanowell chip

Jongmin Woo et al.

Summary: This study introduces a nested nanoPOTS (N2) chip to improve protein recovery, operation robustness, and processing throughput for isobaric-labeling-based single-cell proteomics workflow. The N2 chip enables robust quantification of approximately 1500 proteins and reveals membrane protein markers, demonstrating high stability of single-cell proteome profiles for cells cultured under identical conditions.

NATURE COMMUNICATIONS (2021)

Article Multidisciplinary Sciences

Quantitative single-cell proteomics as a tool to characterize cellular hierarchies

Erwin M. Schoof et al.

Summary: The study demonstrates a comprehensive experimental and computational workflow that establishes global single-cell mass spectrometry-based proteomics as a tool for large-scale single-cell analyses, enabling the exploration of cellular heterogeneity. The approach presented is capable of consistently quantifying around 1000 proteins per cell within limited instrument time.

NATURE COMMUNICATIONS (2021)

Article Biotechnology & Applied Microbiology

Single-cell proteomic and transcriptomic analysis of macrophage heterogeneity using SCoPE2

Harrison Specht et al.

Summary: The SCoPE2 technology was developed to improve the accuracy and throughput of single-cell proteomics through automated sample preparation, revealing the gradual differences in the proteome of macrophages during the enhancement of heterogeneity and allowing differentiation of cell states.

GENOME BIOLOGY (2021)

Article Chemistry, Multidisciplinary

Ultrasensitive single-cell proteomics workflow identifies >1000 protein groups per mammalian cell

Yongzheng Cong et al.

Summary: The combination of nanodroplet sample preparation, ultra-low-flow nanoLC, high-field asymmetric ion mobility spectrometry (FAIMS), and the latest-generation Orbitrap Eclipse Tribrid mass spectrometer led to greatly improved single-cell proteome profiling. FAIMS effectively filtered out singly charged ions, allowing for more effective MS analysis of multiply charged peptides, resulting in a significantly higher number of protein groups identified from single HeLa cells compared to traditional methods. Differential analysis also showed similar proteome coverage for single microdissected motor neurons and interneurons from human spinal tissue, with the ability to differentiate between the two subpopulations based on label-free quantification.

CHEMICAL SCIENCE (2021)

Article Biochemical Research Methods

IonQuant Enables Accurate and Sensitive Label-Free Quantification With FDR-Controlled Match-Between-Runs

Fengchao Yu et al.

Summary: Missing values in label-free quantitative proteomic experiments can weaken the ability to uncover quantitative differences between samples. The Match-between-runs (MBR) approach is effective in mitigating this issue. A new mixture model-based method for estimating false discovery rate (FDR) in peptide and protein identification transfer shows superior performance compared to MaxQuant, with faster speed and improved accuracy.

MOLECULAR & CELLULAR PROTEOMICS (2021)

Article Biochemical Research Methods

An Improved Boosting to Amplify Signal with Isobaric Labeling (iBASIL) Strategy for Precise Quantitative Single-cell Proteomics

Chia-Feng Tsai et al.

MOLECULAR & CELLULAR PROTEOMICS (2020)

Article Multidisciplinary Sciences

Trapped ion mobility spectrometry and PASEF enable in-depth lipidomics from minimal sample amounts

Catherine G. Vasilopoulou et al.

NATURE COMMUNICATIONS (2020)

Article Biochemical Research Methods

MaxQuant Software for Ion Mobility Enhanced Shotgun Proteomics

Nikita Prianichnikov et al.

MOLECULAR & CELLULAR PROTEOMICS (2020)

Review Genetics & Heredity

Integrative single-cell analysis

Tim Stuart et al.

NATURE REVIEWS GENETICS (2019)

Article Physiology

Integration of transcriptomic and proteomic data identifies biological functions in cell populations from human infant lung

Yina Du et al.

AMERICAN JOURNAL OF PHYSIOLOGY-LUNG CELLULAR AND MOLECULAR PHYSIOLOGY (2019)

Article Biotechnology & Applied Microbiology

Dimensionality reduction for visualizing single-cell data using UMAP

Etienne Becht et al.

NATURE BIOTECHNOLOGY (2019)

Article Physiology

Dissociation, cellular isolation, and initial molecular characterization of neonatal and pediatric human lung tissues

Gautam Bandyopadhyay et al.

AMERICAN JOURNAL OF PHYSIOLOGY-LUNG CELLULAR AND MOLECULAR PHYSIOLOGY (2018)

Article Chemistry, Analytical

Nanoliter-Scale Oil-Air-Droplet Chip-Based Single Cell Proteomic Analysis

Zi-Yi Li et al.

ANALYTICAL CHEMISTRY (2018)

Article Chemistry, Multidisciplinary

Proteomic Analysis of Single Mammalian Cells Enabled by Microfluidic Nanodroplet Sample Preparation and Ultrasensitive NanoLC-MS

Ying Zhu et al.

ANGEWANDTE CHEMIE-INTERNATIONAL EDITION (2018)

Article Physics, Atomic, Molecular & Chemical

Subnanogram proteomics: Impact of LC column selection, MS instrumentation and data analysis strategy on proteome coverage for trace samples

Ying Zhu et al.

INTERNATIONAL JOURNAL OF MASS SPECTROMETRY (2018)

Article Biochemical Research Methods

BoxCar acquisition method enables single-shot proteomics at a depth of 10,000 proteins in 100 minutes

Florian Meier et al.

NATURE METHODS (2018)

Article Multidisciplinary Sciences

Pulmonary alveolar type I cell population consists of two distinct subtypes that differ in cell fate

Yanjie Wang et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2018)

Article Multidisciplinary Sciences

Nanodroplet processing platform for deep and quantitative proteome profiling of 10-100 mammalian cells

Ying Zhu et al.

NATURE COMMUNICATIONS (2018)

Article Chemistry, Analytical

Integrated Proteome Analysis Device for Fast Single-Cell Protein Profiling

Xi Shao et al.

ANALYTICAL CHEMISTRY (2018)

Article Biochemical Research Methods

MSFragger: ultrafast and comprehensive peptide identification in mass spectrometry-based proteomics

Andy T. Kong et al.

NATURE METHODS (2017)

Article Biochemistry & Molecular Biology

Brain-Region-Specific Organoids Using Mini-bioreactors for Modeling ZIKV Exposure

Xuyu Qian et al.

Article Biochemical Research Methods

The Perseus computational platform for comprehensive analysis of (prote)omics data

Stefka Tyanova et al.

NATURE METHODS (2016)

Article Biochemical Research Methods

The MaxQuant computational platform for mass spectrometry-based shotgun proteomics

Stefka Tyanova et al.

NATURE PROTOCOLS (2016)

Article Biotechnology & Applied Microbiology

Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells

Florian Buettner et al.

NATURE BIOTECHNOLOGY (2015)

Article Biochemical Research Methods

Fundamentals of Trapped Ion Mobility Spectrometry

Karsten Michelmann et al.

JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY (2015)

Article Cell Biology

Mechanisms of triglyceride accumulation in activated macrophages

Kenneth R. Feingold et al.

JOURNAL OF LEUKOCYTE BIOLOGY (2012)

Article Biochemical Research Methods

Dynamics of Ions of Intact Proteins in the Orbitrap Mass Analyzer

Alexander Makarov et al.

JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY (2009)

Article Biochemical Research Methods

Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources

Da Wei Huang et al.

NATURE PROTOCOLS (2009)

Review Biochemical Research Methods

Proteomic analyses using an accurate mass and time tag strategy

L Pasa-Tolic et al.

BIOTECHNIQUES (2004)

Article Biochemical Research Methods

Increased proteome coverage for quantitative peptide abundance measurements based upon high performance separations and DREAMS FTICR mass spectrometry

L Pasa-Tolic et al.

JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY (2002)