Literature DB >> 26110742

Study of Phospholipids in Single Cells Using an Integrated Microfluidic Device Combined with Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry.

Weiyi Xie1,2, Dan Gao2,3, Feng Jin4, Yuyang Jiang2,5, Hongxia Liu2,3.   

Abstract

Single-cell trapping and high-throughput mass spectrometry analysis remain challenging now. Current technologies for single-cell analysis have several limitations, such as throughput, space resolution, and multicomponent analysis. In this study, we demonstrate, for the first time, the combination of microfluidic chip and matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) for high-throughput and automatic single-cell phospholipids analysis. A microwell-array-based microfluidic chip was designed and fabricated for cell array formation on an indium tin oxide (ITO)-coated glass slide. Mass spectrometry imaging measurement with 25 μm pixel size was performed with a MALDI ion source. Eight phospholipids in a single A549 cell were detected, and their structures were further identified by MS/MS spectra. Selected ion images were generated with a bin width of Δm/z ± 0.005. The selected ion images and optical images of the cell array showed excellent correlation, and mass spectrometry information on phospholipids from 1-3 cells was extracted automatically by selecting pixels with the same fixed interval between microwells on the chip. The measurement and data extraction could be processed in several minutes to achieve a high-throughput analysis. Through the optimization of different microwell sizes and different matrices, this method showed potential for the analysis of other metabolites or metabolic changes at the single-cell level.

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Year:  2015        PMID: 26110742     DOI: 10.1021/acs.analchem.5b00010

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  8 in total

1.  Analytical challenges of shotgun lipidomics at different resolution of measurements.

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Review 2.  Recent advances in the use of microfluidic technologies for single cell analysis.

Authors:  Travis W Murphy; Qiang Zhang; Lynette B Naler; Sai Ma; Chang Lu
Journal:  Analyst       Date:  2017-12-18       Impact factor: 4.616

3.  Integrating a generalized data analysis workflow with the Single-probe mass spectrometry experiment for single cell metabolomics.

Authors:  Renmeng Liu; Genwei Zhang; Mei Sun; Xiaoliang Pan; Zhibo Yang
Journal:  Anal Chim Acta       Date:  2019-03-11       Impact factor: 6.558

Review 4.  Towards high throughput and high information coverage: advanced single-cell mass spectrometric techniques.

Authors:  Shuting Xu; Cheng Yang; Xiuping Yan; Huwei Liu
Journal:  Anal Bioanal Chem       Date:  2021-08-26       Impact factor: 4.142

5.  Mass spectrometry imaging to explore molecular heterogeneity in cell culture.

Authors:  Tanja Bien; Krischan Koerfer; Jan Schwenzfeier; Klaus Dreisewerd; Jens Soltwisch
Journal:  Proc Natl Acad Sci U S A       Date:  2022-07-11       Impact factor: 12.779

6.  Single-cell lipidomics with high structural specificity by mass spectrometry.

Authors:  Zishuai Li; Simin Cheng; Qiaohong Lin; Wenbo Cao; Jing Yang; Minmin Zhang; Aijun Shen; Wenpeng Zhang; Yu Xia; Xiaoxiao Ma; Zheng Ouyang
Journal:  Nat Commun       Date:  2021-05-17       Impact factor: 14.919

7.  The Ratios of monounsaturated to saturated phosphatidylcholines in lung adenocarcinoma microenvironment analyzed by Liquid Chromatography-Mass spectrometry and imaging Mass spectrometry.

Authors:  Yusuke Muranishi; Toshihiko Sato; Shinji Ito; Junko Satoh; Akihiko Yoshizawa; Shigeyuki Tamari; Yuichiro Ueda; Yojiro Yutaka; Toshi Menju; Tatsuo Nakamura; Hiroshi Date
Journal:  Sci Rep       Date:  2019-06-20       Impact factor: 4.379

8.  Multivariate Calibration Approach for Quantitative Determination of Cell-Line Cross Contamination by Intact Cell Mass Spectrometry and Artificial Neural Networks.

Authors:  Elisa Valletta; Lukáš Kučera; Lubomír Prokeš; Filippo Amato; Tiziana Pivetta; Aleš Hampl; Josef Havel; Petr Vaňhara
Journal:  PLoS One       Date:  2016-01-28       Impact factor: 3.240

  8 in total

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