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

scholarly journals Heterogeneity of PIK3CA mutational status at the single cell level in circulating tumor cells from metastatic breast cancer patients

2014 ◽  
Vol 9 (4) ◽  
pp. 749-757 ◽  
Author(s):  
Marta Pestrin ◽  
Francesca Salvianti ◽  
Francesca Galardi ◽  
Francesca De Luca ◽  
Natalie Turner ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Single Cell ◽  
Cancer Patients ◽  
Tumor Cells ◽  
Metastatic Breast ◽  
Single Cell Level ◽  
Breast Cancer Patients ◽  
Cell Level ◽  
Mutational Status

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.

In vivo MRI of cancer cell fate at the single-cell level in a mouse model of breast cancer metastasis to the brain

2006 ◽  
Vol 56 (5) ◽  
pp. 1001-1010 ◽  
Author(s):  
Chris Heyn ◽  
John A. Ronald ◽  
Soha S. Ramadan ◽  
Jonatan A. Snir ◽  
Andrea M. Barry ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Mouse Model ◽  
Single Cell ◽  
Cell Fate ◽  
Cancer Metastasis ◽  
Breast Cancer Metastasis ◽  
Single Cell Level ◽  
Cell Level ◽  
The Brain

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.

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