Histology-Driven Data Mining of Lipid Signatures from Multiple Imaging Mass Spectrometry Analyses: Application to Human Colorectal Cancer Liver Metastasis Biopsies-Reference-Cited by-同舟云学术

Histology-Driven Data Mining of Lipid Signatures from Multiple Imaging Mass Spectrometry Analyses: Application to Human Colorectal Cancer Liver Metastasis Biopsies

Published:2013-02-08 Issue:5 Volume:85 Page:2860-2866
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Thomas Aurélien¹,Patterson Nathan Heath¹,Marcinkiewicz Martin M.²,Lazaris Anthoula³,Metrakos Peter³,Chaurand Pierre¹

Affiliation:

1. Department of Chemistry, University of Montreal, Montreal, Quebec, Canada

2. Cytochem Inc., 6465 Durocher Avenue, Montreal, Quebec, Canada

3. Department of Surgery, Division of Hepatobiliary and Transplant Surgery, McGill University Health Center, Quebec, Canada

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ac3034294

Reference42 articles.

1. MOLECULAR BASIS FOR MEMBRANE PHOSPHOLIPID DIVERSITY: Why Are There So Many Lipids?

2. Lipidomics: coming to grips with lipid diversity

3. Elevated levels of hydroxylated phosphocholine lipids in the blood serum of breast cancer patients

4. Role of cholesterol and lipid organization in disease

5. High-Throughput Phospholipidic Fingerprinting by Online Desorption of Dried Spots and Quadrupole-Linear Ion Trap Mass Spectrometry: Evaluation of Atherosclerosis Biomarkers in Mouse Plasma

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