2008
DOI: 10.1002/pmic.200701121
|View full text |Cite
|
Sign up to set email alerts
|

In situ proteomics with imaging mass spectrometry and principal component analysis in the Scrapper‐knockout mouse brain

Abstract: Imaging MS is emerging as a useful tool for proteomic analysis. We utilized this technique to analyze gene knockout (KO) mice in addition to traditional 2-DE analysis. The Scrapper-knockout (SCR-KO) mouse brain showed two types of neurodegenerative pathologies, the spongiform neurodegeneration and shrinkage of neuronal cells. 2-DE analysis of the whole brain lysates of SCR-KO mice indicated slight changes in annexin A6, Rap1 GTPase, and glyoxalase domain containing four spots while most of the main components … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
50
0

Year Published

2009
2009
2013
2013

Publication Types

Select...
8
2

Relationship

5
5

Authors

Journals

citations
Cited by 73 publications
(50 citation statements)
references
References 32 publications
0
50
0
Order By: Relevance
“…A widely used way of visualizing an IMS data set is to plot loadings derived with principal component analysis (PCA) 16 or improved variants of PCA 17 that provides images showing the main structure of the data set. However, the PCA loadings can hardly be interpreted from a mass spectrometric point of view, since certain mass spectra negatively contribute to the resulting image, that has no analytical meaning (see the paper by Deininger et al for a discussion on disadvantages of PCA in the MALDI-imaging context).…”
Section: Introductionmentioning
confidence: 99%
“…A widely used way of visualizing an IMS data set is to plot loadings derived with principal component analysis (PCA) 16 or improved variants of PCA 17 that provides images showing the main structure of the data set. However, the PCA loadings can hardly be interpreted from a mass spectrometric point of view, since certain mass spectra negatively contribute to the resulting image, that has no analytical meaning (see the paper by Deininger et al for a discussion on disadvantages of PCA in the MALDI-imaging context).…”
Section: Introductionmentioning
confidence: 99%
“…Direct analysis of a tissue section with IMS allows for the detection of a wide range of molecules such as lipids 10 , peptides 11 , and nutrients 12,13 as well as administered pharmaceuticals 14 . Although IMS can be used to directly analyze the TLC surface TLC-IMS , complete retrieval of the target compound from the silica coated onto the plate is diffi cult.…”
mentioning
confidence: 99%
“…Many leading edge data analyses have been introduced to IMS data analysis; Principal component analysis degenerates data dimensions and enhances the difference among data. 31,32) Hierarchical cluster analysis reveals relationships among molecules and classifies them. 31,33) Multivariate curve resolution can reveal mixed spectra from observed single spectrum.…”
Section: Discussionmentioning
confidence: 99%