Quantitative Extraction and Mass Spectrometry Analysis at a Single-Cell Level

2018 ◽  
Vol 90 (13) ◽  
pp. 7937-7945 ◽  
Author(s):  
Ruichuan Yin ◽  
Venkateshkumar Prabhakaran ◽  
Julia Laskin
Keyword(s):  
Mass Spectrometry ◽  
Single Cell ◽  
Mass Spectrometry Analysis ◽  
Single Cell Level ◽  
Cell Level ◽  
Spectrometry Analysis ◽  
Quantitative Extraction

scholarly journals Laser cleavable probes for in situ multiplexed glycan detection by single cell mass spectrometry

2019 ◽  
Vol 10 (47) ◽  
pp. 10958-10962 ◽  
Author(s):  
Jing Han ◽  
Xi Huang ◽  
Huihui Liu ◽  
Jiyun Wang ◽  
Caiqiao Xiong ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Drug Resistance ◽  
Single Cell ◽  
Cell Mass ◽  
Ionization Efficiency ◽  
Single Cell Level ◽  
Cell Level ◽  
Cell Mass Spectrometry ◽  
The Relationship

A single-cell MS approach for multiplexed glycan detection to investigate the relationship between drug resistance and glycans at a single-cell level and quantify multiple glycans, overcoming the limit of low ionization efficiency of glycans.

scholarly journals Single-cell lipidomics with high structural specificity by mass spectrometry

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Zishuai Li ◽  
Simin Cheng ◽  
Qiaohong Lin ◽  
Wenbo Cao ◽  
Jing Yang ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Single Cell ◽  
Cancer Cells ◽  
Single Cell Analysis ◽  
Single Cells ◽  
Mass Spectrometry Analysis ◽  
Human Lung Cancer ◽  
Cell Analysis ◽  
Structural Specificity ◽  
Spectrometry Analysis

AbstractSingle-cell analysis is critical to revealing cell-to-cell heterogeneity that would otherwise be lost in ensemble analysis. Detailed lipidome characterization for single cells is still far from mature, especially when considering the highly complex structural diversity of lipids and the limited sample amounts available from a single cell. We report the development of a general strategy enabling single-cell lipidomic analysis with high structural specificity. Cell fixation is applied to retain lipids in the cell during batch treatments prior to single-cell analysis. In addition to tandem mass spectrometry analysis revealing the class and fatty acyl-chain for lipids, batch photochemical derivatization and single-cell droplet treatment are performed to identify the C=C locations and sn-positions of lipids, respectively. Electro-migration combined with droplet-assisted electrospray ionization enables single-cell mass spectrometry analysis with easy operation but high efficiency in sample usage. Four subtypes of human breast cancer cells are correctly classified through quantitative analysis of lipid C=C location or sn-position isomers in ~160 cells. Most importantly, the single-cell deep lipidomics strategy successfully discriminates gefitinib-resistant cells from a population of wild-type human lung cancer cells (HCC827), highlighting its unique capability to promote precision medicine.

scholarly journals Single-Cell Mass Spectrometry Analysis of Metabolites Facilitated by Cell Electro-Migration and Electroporation

2020 ◽  
Vol 92 (14) ◽  
pp. 10138-10144 ◽  
Author(s):  
Zishuai Li ◽  
Zhengmao Wang ◽  
Junmin Pan ◽  
Xiaoxiao Ma ◽  
Wenpeng Zhang ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Single Cell ◽  
Cell Mass ◽  
Mass Spectrometry Analysis ◽  
Spectrometry Analysis ◽  
Cell Mass Spectrometry

scholarly journals Ultra-streamlined single cell proteomics by all-in-one chip and data-independent-acquisition mass spectrometry

2021 ◽  
Author(s):  
Hsiung-Lin Tu ◽  
Sofani Gebreyesus ◽  
Asad Ali Siyal ◽  
Reta Birhanu Kitata ◽  
Eric Sheng-Wen Chen ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Single Cell ◽  
Missing Values ◽  
Protein Quantification ◽  
Single Cell Level ◽  
Cell Level ◽  
Proteome Coverage ◽  
Data Independent Acquisition ◽  
General Utility ◽  
Ultrahigh Sensitivity

Abstract Single cell proteomics provides the ultimate resolution to reveal cellular phenotypic heterogeneity and functional network underlying biological processes. Here, we present an ultra-streamlined workflow combining an integrated proteomic chip (iProChip) and data-independent-acquisition (DIA) mass spectrometry for sensitive microproteomics analysis down to single cell level. The iProChip offers multiplexed and automated all-in-one station from cell isolation/counting/imaging to complete proteomic processing within a single device. By mapping to project-specific spectra libraries, the iProChip-DIA enables profiling of 1160 protein groups from triplicate analysis of a single mammalian cell. Furthermore, the applicability of iProChip-DIA was demonstrated using both adherent and non-adherent malignant cells, which reveals 5 orders of proteome coverage, highly consistent ~100-fold protein quantification (1-100 cells) and high reproducibility with low missing values (<16%). With the demonstrated all-in-one cell characterization, ultrahigh sensitivity, robustness, and versatility to add other functionalities, the iProChip-DIA is anticipated to offer general utility to realize advanced proteomics applications at single cell level.

The Single-Probe: A Miniaturized Multifunctional Device for Single Cell Mass Spectrometry Analysis

2014 ◽  
Vol 86 (19) ◽  
pp. 9376-9380 ◽  
Author(s):  
Ning Pan ◽  
Wei Rao ◽  
Naga Rama Kothapalli ◽  
Renmeng Liu ◽  
Anthony W. G. Burgett ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Single Cell ◽  
Cell Mass ◽  
Mass Spectrometry Analysis ◽  
Spectrometry Analysis ◽  
Single Probe ◽  
Multifunctional Device ◽  
Cell Mass Spectrometry

scholarly journals Ultra-streamlined single cell proteomics by all-in-one chip and data-independent-acquisition mass spectrometry

2021 ◽  
Author(s):  
Hsiung-Lin Tu ◽  
Sofani Gebreyesus ◽  
Asad Ali Siyal ◽  
Reta Birhanu Kitata ◽  
Eric Sheng-Wen Chen ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Single Cell ◽  
Missing Values ◽  
Protein Quantification ◽  
Single Cell Level ◽  
Cell Level ◽  
Proteome Coverage ◽  
Data Independent Acquisition ◽  
General Utility ◽  
Ultrahigh Sensitivity

Abstract Single cell proteomics provides the ultimate resolution to reveal cellular phenotypic heterogeneity and functional network underlying biological processes. Here, we present an ultra-streamlined workflow combining an integrated proteomic chip (iProChip) and data-independent-acquisition (DIA) mass spectrometry for sensitive microproteomics analysis down to single cell level. The iProChip offers multiplexed and automated all-in-one station from cell isolation/counting/imaging to complete proteomic processing within a single device. By mapping to project-specific spectra libraries, the iProChip-DIA enables profiling of 1160 protein groups from triplicate analysis of a single mammalian cell. Furthermore, the applicability of iProChip-DIA was demonstrated using both adherent and non-adherent malignant cells, which reveals 5 orders of proteome coverage, highly consistent ~100-fold protein quantification (1-100 cells) and high reproducibility with low missing values (<16%). With the demonstrated all-in-one cell characterization, ultrahigh sensitivity, robustness, and versatility to add other functionalities, the iProChip-DIA is anticipated to offer general utility to realize advanced proteomics applications at single cell level.

Metabolic Discrimination of Breast Cancer Subtypes at the Single-Cell Level by Multiple Microextraction Coupled with Mass Spectrometry

2019 ◽  
Vol 91 (5) ◽  
pp. 3667-3674 ◽  
Author(s):  
Ruihua Wang ◽  
Hansen Zhao ◽  
Xiaochao Zhang ◽  
Xu Zhao ◽  
Zhe Song ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Mass Spectrometry ◽  
Single Cell ◽  
Breast Cancer Subtypes ◽  
Single Cell Level ◽  
Cell Level ◽  
Cancer Subtypes
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