Document Detail

Orthogonal projections to latent structures discriminant analysis modeling on in situ FT-IR spectral imaging of liver tissue for identifying sources of variability.
MedLine Citation:
PMID:  18714965     Owner:  NLM     Status:  MEDLINE    
In this study, the orthogonal projections to latent structures discriminant analysis (OPLS-DA) method was used to assess the in situ chemical composition of two different cell types in mouse liver samples, hepatocytes and erythrocytes. High spatial resolution FT-IR microspectroscopy equipped with a focal plan array (FPA) detector is capable of simultaneously recording over 4000 spectra from 64 x 64 pixels with a maximum spatial resolution of about 5 microm x 5 microm, which allows for the differentiation of individual cells. The main benefit with OPLS-DA lies in the ability to separate predictive variation (between cell type) from variation that is uncorrelated to cell type in order to facilitate understanding of different sources of variation. OPLS-DA was able to differentiate between chemical properties and physical properties (e.g., edge effects). OPLS-DA model interpretation of the chemical features that separated the two cell types clearly highlighted proteins and lipids/bile acids. The modeled variation that was uncorrelated to cell type made up a larger portion of the total variation and displayed strong variability in the amide I region. This could be traced back to a gradient in the high intensity (high-density) areas vs the low intensity areas (close to empty areas) that as a result of normalization had an adverse effect on FT-IR spectral profiles. This highlights that OPLS-DA provides an effective solution to identify different sources of variability, both predictive and uncorrelated, and also facilitates understanding of any sampling, experimental, or preprocessing issues.
Hans Stenlund; András Gorzsás; Per Persson; Björn Sundberg; Johan Trygg
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2008-08-20
Journal Detail:
Title:  Analytical chemistry     Volume:  80     ISSN:  1520-6882     ISO Abbreviation:  Anal. Chem.     Publication Date:  2008 Sep 
Date Detail:
Created Date:  2008-09-16     Completed Date:  2008-10-30     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0370536     Medline TA:  Anal Chem     Country:  United States    
Other Details:
Languages:  eng     Pagination:  6898-906     Citation Subset:  IM    
Computational Life Science Cluster (CLIC), KBC, Umeå University, SE-901 87 Umeå, Sweden.
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MeSH Terms
Analysis of Variance
Discriminant Analysis
Erythrocytes / chemistry
Hepatocytes / chemistry
Least-Squares Analysis
Liver / cytology*
Models, Biological
Principal Component Analysis
Spectroscopy, Fourier Transform Infrared

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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