Single cell lipidomics of SKBR‐3 breast cancer cells by using time‐of‐flight secondary‐ion mass spectrometry

Ide, Yoshimi; Waki, Michihiko; Ishizaki, Itsuko; Nagata, Yasuyuki; Yamazaki, Fumiyoshi; Hayasaka, Takahiro; Nio, Masaki; Ikegami, Koji; Kondo, Takeshi; Shibata, Kiyoshi; Ogura, Hironao; Sanada, N.; Setou, Mitsutoshi

doi:10.1002/sia.5523

Cited by 14 publications

(13 citation statements)

References 30 publications

(56 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There were 267 endogenous compounds detected in the four cell lines in negative‐ion mode and 215 in positive‐ion mode in the mass range of m / z 100 to 1700 after the elimination of background peaks detected in the blank sample with matrix sprayed onto ITO‐coated glass slides but without cells (the peaks detected in cells are listed in Supplementary Table S1, Supporting Information). To the best of our knowledge, this is the largest group of analytes that have been detected in cell cultures by MSI . Schober et al .…”

Section: Resultsmentioning

confidence: 99%

“…To the best of our knowledge, this is the largest group of analytes that have been detected in cell cultures by MSI. [19,22,31] Schober et al applied MADLI MSI for the single cell analysis and 22 compounds were identified in positive ion mode. [22] Cluster secondary ion mass spectrometry imaging and MALDI MSI were applied for single-cell lipidomic analysis of neurons from Aplysia californica, and no more than 20 lipidomic peaks were detected.…”

Section: Optimization Of Maldi-tof Msi For Lipidomic Analysis Of Cellmentioning

confidence: 99%

“…Ide et al applied matrix‐assisted laser desorption/ionization (MALDI) MSI to determine the distribution of glycerophosphocholines (PCs) and lysoPCs on breast cancer tissue . A time‐of‐flight secondary ion MSI (TOF‐SIMSI) method was developed for the visualization of PCs and fatty acids in cell membranes . However, these few studies by MSI concentrated on the visualization of limited lipid species, seldom involved in the deeper understanding of the processes of invasion and metastasis.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Matrix‐assisted laser desorption/ionization mass spectrometry imaging of cell cultures for the lipidomic analysis of potential lipid markers in human breast cancer invasion

Wang

Chen

Luan

et al. 2016

Rapid Comm Mass Spectrometry

View full text Add to dashboard Cite

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Optimization Of Maldi-tof Msi For Lipidomic Analysis Of Cellmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Matrix‐assisted laser desorption/ionization mass spectrometry imaging of cell cultures for the lipidomic analysis of potential lipid markers in human breast cancer invasion

Wang

Chen

Luan

et al. 2016

Rapid Comm Mass Spectrometry

View full text Add to dashboard Cite

show abstract

“…The time-of-flight secondary-ion mass spectrometry (TOF-SIMS) approach has been implemented to visualize lipids in individual breast cancer cells. 60 Prominent expression of stearoyl-CoA desaturase 1 in breast cancer SKBR-3 cell lines was reported, and static TOF-SIMS was concluded to be an effective method for determining the lipid molecular signature of the plasma membrane of individual breast cancer cells. Further applications in lipid detection of single cells are still being optimized.…”

Section: Lipid and Metabolite-based Analysismentioning

confidence: 99%

Single‐cell profiling approaches to probing tumor heterogeneity

Khoo

Chaudhuri

Ramalingam

et al. 2016

Intl Journal of Cancer

View full text Add to dashboard Cite

Tumor heterogeneity is a major hindrance in cancer classification, diagnosis and treatment. Recent technological advances have begun to reveal the true extent of its heterogeneity. Single-cell analysis (SCA) is emerging as an important approach to detect variations in morphology, genetic or proteomic expression. In this review, we revisit the issue of inter-and intra-tumor heterogeneity, and list various modes of SCA techniques (cell-based, nucleic acid-based, protein-based, metabolite-based and lipidbased) presently used for cancer characterization. We further discuss the advantages of SCA over pooled cell analysis, as well as the limitations of conventional techniques. Emerging trends, such as high-throughput sequencing, are also mentioned as improved means for cancer profiling. Collectively, these applications have the potential for breakthroughs in cancer treatment. Tumor Heterogeneity and EvolutionThe tumor microenvironment is a complex heterogeneous system and consists of intricate interactions between the tumor cells and its neighboring non-cancerous stromal cells. The principal stromal cells in the tumor niche consist of endothelial cells, macrophages, immune cells, fibroblasts and stem cells. Each cell has unique behaviors due to variation in genetic and environmental factors, which has implications in pathogenic conditions. 1 In cancer, nonrecurring mutations and large genomic alterations generate vast heterogeneity, giving rise to tumors which comprised subpopulations of distinct cells. Other factors, including clonal evolution and positive selective pressure from therapeutics, 2 also play a role in inducing tumor heterogeneity.Unlike prior literatures on cancer heterogeneity, 3,4 this review aims to evaluate and combine the issues of cancer heterogeneity with single-cell analysis (SCA), 5 summarizing the recent advances in single-cell cancer analysis which has allowed new understanding of cancer biology. These singlecell analytical techniques are classified into four different categories, including cell-based, nucleic acid-based, proteinbased and metabolite-based methods and are explicitly discussed along with the advantages and limitations for each technology. Finally, the review highlighted the importance of SCA techniques over bulk tissue analyses, and summarized the application of next generation omics to single cells. The objective of this review is to familiarize the reader with the burgeoning field of SCA in oncology, thereby empowering them to select the best approach for their specific application. Different characteristics of single cellsCells work as single units or in organized tissues and organs. Despite the apparent synchrony in cellular systems, each cell

show abstract

“…In 2013, the Ewing and Winograd groups showed the potential of TOF-IMS for frozen hydrated cells after ammonium formate washing [48]. Ide et al showed that changes in lipid composition on breast cancer cell lines can be studied using TOF-SIMS [49]. Gostek et al showed that single bladder cancer cells can be distinguished using TOF-SIMS data and principal component analysis [50].…”

Section: Introductionmentioning

confidence: 99%

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

Vanbellingen

Castellanos

Rodriguez-Silva

et al. 2016

J. Am. Soc. Mass Spectrom.

View full text Add to dashboard Cite

In the present work, we show the advantages of label-free, tridimensional mass spectrometry imaging using dual beam analysis (25 keV Bi3+) and depth profiling (20 keV with a distribution centered at Ar1500+) coupled to time of flight secondary ion mass spectrometry (3D-MSI-TOF-SIMS) for the study of A-172 human glioblastoma cell line treated with B-cell lymphoma 2 (Bcl-2) inhibitor ABT-737. The high spatial (~250 nm) and high mass resolution (m/Δm ~ 10,000) of TOF-SIMS permitted the localization and identification of the intact, unlabeled drug molecular ion (m/z 811.26 C42H44ClN6O5S2−[M-H]−) as well as characteristic fragment ions. We propose a novel approach based on the inspection of the drug secondary ion yield which showed a good correlation with the drug concentration during cell treatment at therapeutic dosages (0 – 200 μM with 4 h incubation). Chemical maps using endogenous molecular markers showed that the ABT-737 is mainly localized in subsurface regions and absent in the nucleus. A semi-quantitative workflow is proposed to account for the biological cell diversity based on the spatial distribution of endogenous molecular markers (e.g., nuclei and cytoplasm) and secondary ion confirmation based on the ratio of drug-specific fragments to molecular ion as a function of the therapeutic dosage.

show abstract

Single cell lipidomics of SKBR‐3 breast cancer cells by using time‐of‐flight secondary‐ion mass spectrometry

Cited by 14 publications

References 30 publications

Matrix‐assisted laser desorption/ionization mass spectrometry imaging of cell cultures for the lipidomic analysis of potential lipid markers in human breast cancer invasion

Matrix‐assisted laser desorption/ionization mass spectrometry imaging of cell cultures for the lipidomic analysis of potential lipid markers in human breast cancer invasion

Single‐cell profiling approaches to probing tumor heterogeneity

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

Contact Info

Product

Resources

About