Single-Cell MALDI-MS as an Analytical Tool for Studying Intrapopulation Metabolic Heterogeneity of Unicellular Organisms

被引：120

作者：

Amantonico, Andrea ^{[1
]}

Urban, Pawel L. ^{[1
]}

Fagerer, Stephan R. ^{[1
]}

Balabin, Roman M. ^{[1
]}

Zenobi, Renato ^{[1
]}

机构：

[1] ETH, Dept Chem & Appl Biosci, CH-8093 Zurich, Switzerland

来源：

ANALYTICAL CHEMISTRY | 2010年 / 82卷 / 17期

关键词：

IONIZATION MASS-SPECTROMETRY; ASSISTED-LASER-DESORPTION/IONIZATION; SUPPORT VECTOR MACHINE; MATRIX; CLASSIFICATION; INDIVIDUALITY; EXPRESSION; PEPTIDES; TISSUE; YEAST;

D O I：

10.1021/ac1015326

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Heterogeneity is a characteristic feature of all populations of living organisms. Here we make an attempt to validate a single-cell mass spectrometric method for detection of changes in metabolite levels occurring in populations of unicellular organisms. Selected metabolites involved in central metabolism (ADP, ATP, GTP, and UDP-Glucose) could readily be detected in single cells of Closterium acerosum by means of negative-mode matrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS). The analytical capabilities of this approach were characterized using standard compounds. The method was then used to study populations of individual cells with different levels of the chosen metabolites. With principal component analysis and support vector machine algorithms, it was possible to achieve a clear separation of individual C. acerosum cells in different metabolic states. This study demonstrates the suitability of mass spectrometric analysis of metabolites in single cells to measure cell-population heterogeneity.

引用

页码：7394 / 7400

页数：7

共 47 条

[1]

AMANTONICO A, 2010, ANAL BIOANAL CHEM, DOI DOI 10.1007/S00216-00010-03850-00211

[2] Mass spectrometric method for analyzing metabolites in yeast with single cell sensitivity [J].

Amantonico, Andrea ;

Oh, Joo Yeon ;

Sobek, Jens ;

Heinemann, Matthias ;

Zenobi, Renato .

ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 2008, 47 (29) :5382-5385

[3] A comparative study of K-Nearest Neighbour, Support Vector Machine and Multi-Layer Perceptron for Thalassemia screening [J].

Amendolia, SR ;

Cossu, G ;

Ganadu, ML ;

Golosio, B ;

Masala, GL ;

Mura, GM .

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2003, 69 (1-2) :13-20

[4]

Anselmetti D., 2009, Single Cell Analysis

[5] Microbial cell individuality and the underlying sources of heterogeneity [J].

Avery, Simon V. .

NATURE REVIEWS MICROBIOLOGY, 2006, 4 (08) :577-587

[6] Comparison of linear and nonlinear calibration models based on near infrared (NIR) spectroscopy data for gasoline properties prediction [J].

Balabin, Roman M. ;

Safieva, Ravilya Z. ;

Lomakina, Ekaterma I. .

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2007, 88 (02) :183-188

[7] A flexible classification approach with optimal generalisation performance: support vector machines [J].

Belousov, AI ;

Verzakov, SA ;

von Frese, J .

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2002, 64 (01) :15-25

[8]

Berg J, 2009, NAT METHODS, V6, P161, DOI [10.1038/NMETH.1288, 10.1038/nmeth.1288]

[9] Preparation of single cells for imaging/profiling mass spectrometry [J].

Berman, Elena S. F. ;

Fortson, Susan L. ;

Checchi, Kyle D. ;

Wu, Ligang ;

Felton, James S. ;

Wu, Kuang Jen J. ;

Kulp, Kristen S. .

JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY, 2008, 19 (08) :1230-1236

[10]

Bishop C.M., 2006, J ELECTRON IMAGING, V16, P049901, DOI DOI 10.1117/1.2819119

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