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Unique volatolomic signatures of TP53 and KRAS in lung cells
by
Marcus, M W
, Davies, M P A
, Ilouze, M
, Hyde, R
, Jeries, R
, Peled, N
, Field, J K
, Haick, H
, Barash, O
in
631/208/737
/ 692/53
/ 692/699/67/1612
/ 692/700/139
/ Air - analysis
/ Apoptosis
/ Artificial Intelligence
/ Biomarkers
/ Biomedical and Life Sciences
/ Biomedicine
/ Bronchi
/ Cancer Research
/ Cancer therapies
/ Cell cycle
/ Cells, Cultured
/ Discriminant Analysis
/ Drug Resistance
/ Epidemiology
/ Epithelial Cells - metabolism
/ Gas Chromatography-Mass Spectrometry
/ Gene Knockdown Techniques
/ Genetic diversity
/ Genetic engineering
/ Genomes
/ Humans
/ Kinases
/ Lung cancer
/ Lung Neoplasms - genetics
/ Medical prognosis
/ Medical research
/ Medicine
/ Microarray Analysis
/ Molecular Medicine
/ molecular-diagnostics
/ Mutation
/ Oncology
/ Proto-Oncogene Proteins - genetics
/ Proto-Oncogene Proteins p21(ras)
/ ras Proteins - genetics
/ Sensors
/ Tumor Suppressor Protein p53 - genetics
/ VOCs
/ Volatile organic compounds
/ Volatile Organic Compounds - analysis
2014
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Unique volatolomic signatures of TP53 and KRAS in lung cells
by
Marcus, M W
, Davies, M P A
, Ilouze, M
, Hyde, R
, Jeries, R
, Peled, N
, Field, J K
, Haick, H
, Barash, O
in
631/208/737
/ 692/53
/ 692/699/67/1612
/ 692/700/139
/ Air - analysis
/ Apoptosis
/ Artificial Intelligence
/ Biomarkers
/ Biomedical and Life Sciences
/ Biomedicine
/ Bronchi
/ Cancer Research
/ Cancer therapies
/ Cell cycle
/ Cells, Cultured
/ Discriminant Analysis
/ Drug Resistance
/ Epidemiology
/ Epithelial Cells - metabolism
/ Gas Chromatography-Mass Spectrometry
/ Gene Knockdown Techniques
/ Genetic diversity
/ Genetic engineering
/ Genomes
/ Humans
/ Kinases
/ Lung cancer
/ Lung Neoplasms - genetics
/ Medical prognosis
/ Medical research
/ Medicine
/ Microarray Analysis
/ Molecular Medicine
/ molecular-diagnostics
/ Mutation
/ Oncology
/ Proto-Oncogene Proteins - genetics
/ Proto-Oncogene Proteins p21(ras)
/ ras Proteins - genetics
/ Sensors
/ Tumor Suppressor Protein p53 - genetics
/ VOCs
/ Volatile organic compounds
/ Volatile Organic Compounds - analysis
2014
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Unique volatolomic signatures of TP53 and KRAS in lung cells
by
Marcus, M W
, Davies, M P A
, Ilouze, M
, Hyde, R
, Jeries, R
, Peled, N
, Field, J K
, Haick, H
, Barash, O
in
631/208/737
/ 692/53
/ 692/699/67/1612
/ 692/700/139
/ Air - analysis
/ Apoptosis
/ Artificial Intelligence
/ Biomarkers
/ Biomedical and Life Sciences
/ Biomedicine
/ Bronchi
/ Cancer Research
/ Cancer therapies
/ Cell cycle
/ Cells, Cultured
/ Discriminant Analysis
/ Drug Resistance
/ Epidemiology
/ Epithelial Cells - metabolism
/ Gas Chromatography-Mass Spectrometry
/ Gene Knockdown Techniques
/ Genetic diversity
/ Genetic engineering
/ Genomes
/ Humans
/ Kinases
/ Lung cancer
/ Lung Neoplasms - genetics
/ Medical prognosis
/ Medical research
/ Medicine
/ Microarray Analysis
/ Molecular Medicine
/ molecular-diagnostics
/ Mutation
/ Oncology
/ Proto-Oncogene Proteins - genetics
/ Proto-Oncogene Proteins p21(ras)
/ ras Proteins - genetics
/ Sensors
/ Tumor Suppressor Protein p53 - genetics
/ VOCs
/ Volatile organic compounds
/ Volatile Organic Compounds - analysis
2014
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Unique volatolomic signatures of TP53 and KRAS in lung cells
Journal Article
Unique volatolomic signatures of TP53 and KRAS in lung cells
2014
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Overview
Background:
Volatile organic compounds (VOCs) are potential biomarkers for cancer detection in breath, but it is unclear if they reflect specific mutations. To test this, we have compared human bronchial epithelial cell (HBEC) cell lines carrying the KRAS
V12
mutation, knockdown of TP53 or both with parental HBEC cells.
Methods:
VOC from headspace above cultured cells were collected by passive sampling and analysed by thermal desorption gas chromatography mass spectrometry (TD-GC–MS) or sensor array with discriminant factor analysis (DFA).
Results:
In TD-GC–MS analysis, individual compounds had limited ability to discriminate between cell lines, but by applying DFA analysis combinations of 20 VOCs successfully discriminated between all cell types (accuracies 80–100%, with leave-one-out cross validation). Sensor array detection DFA demonstrated the ability to discriminate samples based on their cell type for all comparisons with accuracies varying between 77% and 93%.
Conclusions:
Our results demonstrate that minimal genetic changes in bronchial airway cells lead to detectable differences in levels of specific VOCs identified by TD-GC–MS or of patterns of VOCs identified by sensor array output. From the clinical aspect, these results suggest the possibility of breath analysis for detection of minimal genetic changes for earlier diagnosis or for genetic typing of lung cancers.
Publisher
Nature Publishing Group UK,Nature Publishing Group
Subject
/ 692/53
/ Biomedical and Life Sciences
/ Bronchi
/ Epithelial Cells - metabolism
/ Gas Chromatography-Mass Spectrometry
/ Genomes
/ Humans
/ Kinases
/ Medicine
/ Mutation
/ Oncology
/ Proto-Oncogene Proteins - genetics
/ Proto-Oncogene Proteins p21(ras)
/ Sensors
/ Tumor Suppressor Protein p53 - genetics
/ VOCs
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