Literature DB >> 25688712

Differentiation between single bladder cancer cells using principal component analysis of time-of-flight secondary ion mass spectrometry.

Justyna Gostek1, Kamil Awsiuk2, Joanna Pabijan1, Jakub Rysz2, Andrzej Budkowski2, Malgorzata Lekka1.   

Abstract

Time-of-flight-secondary ion mass spectrometry (TOF-SIMS) mass spectra measurements combined with an appropriate sample preparation protocol are the powerful tools to obtain unique information about the chemical composition of biological materials. In our studies, two questions were addressed, i.e., whether it is possible to develop a fixative-based sample preparation protocol and whether it allows one to distinguish between cells originating from various stages of cancer progression. Therefore, four human bladder cancer cell lines (with distinct malignancy degree) have been investigated. A chemical fixation protocol has been used for TOF-SIMS measurements, and mass spectra were obtained using a Bi3(+) primary ion beam. The principal component analysis (PCA) has been applied to analyze the whole range of mass spectra (without preselection of any particular masses) using two approaches of data preprocessing, namely, mean centering and autoscaling. The PC3 versus PC2 plot has showed significant differences between nonmalignant cancer cells and the cancerous ones for both of preprocessing approaches. The analysis of mass spectra of human bladder cells allows one to find a list of mass peaks with intensities significantly larger in cancerous bladder cells compared to nonmalignant cell cancer of the ureter (HCV29 cells). These findings show that TOF-SIMS in combination with PCA can be used to identify reference, human bladder cells from cancerous ones.

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Year:  2015        PMID: 25688712     DOI: 10.1021/ac504684n

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


  4 in total

1.  Analysis of Chemotherapeutic Drug Delivery at the Single Cell Level Using 3D-MSI-TOF-SIMS.

Authors:  Quentin P Vanbellingen; Anthony Castellanos; Monica Rodriguez-Silva; Iru Paudel; Jeremy W Chambers; Francisco A Fernandez-Lima
Journal:  J Am Soc Mass Spectrom       Date:  2016-08-31       Impact factor: 3.109

2.  Investigation of Inter- and Intratumoral Heterogeneity of Glioblastoma Using TOF-SIMS.

Authors:  Samvel K Gularyan; Alexander A Gulin; Ksenia S Anufrieva; Victoria O Shender; Michail I Shakhparonov; Soniya Bastola; Nadezhda V Antipova; Tatiana F Kovalenko; Yury P Rubtsov; Yaroslav A Latyshev; Alexander A Potapov; Marat S Pavlyukov
Journal:  Mol Cell Proteomics       Date:  2020-04-06       Impact factor: 5.911

3.  Discrimination between NSIP- and IPF-Derived Fibroblasts Based on Multi-Parameter Characterization of Their Growth, Morphology and Physic-Chemical Properties.

Authors:  Barbara Orzechowska; Kamil Awsiuk; Dawid Wnuk; Joanna Pabijan; Tomasz Stachura; Jerzy Soja; Krzysztof Sładek; Joanna Raczkowska
Journal:  Int J Mol Sci       Date:  2022-02-15       Impact factor: 5.923

4.  Data on step-by-step atomic force microscopy monitoring of changes occurring in single melanoma cells undergoing ToF SIMS specialized sample preparation protocol.

Authors:  J Bobrowska; J Pabijan; J Wiltowska-Zuber; B R Jany; F Krok; K Awsiuk; J Rysz; A Budkowski; M Lekka
Journal:  Data Brief       Date:  2016-08-03
  4 in total

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