4.5 Review

Microdissection-An Essential Prerequisite for Spatial Cancer Omics

Journal

PROTEOMICS
Volume 20, Issue 17-18, Pages -

Publisher

WILEY
DOI: 10.1002/pmic.202000077

Keywords

LC-MS; MS; machine learning; mass spectrometry imaging (MSI); microdissection; omics

Funding

  1. German Federal Ministry of Education and Research (BMBF
  2. project TheraOptik)
  3. Deutsche Forschungsgemeinschaft (DFG
  4. Core unit JBIL)

Ask authors/readers for more resources

The problem with cancer tissue is that its intratumoral heterogeneity and its complexity is extremely high as cells possess, depending on their location and function, different mutations, different mRNA expression and the highest intricacy in the protein pattern. Prior to genomic and proteomic analyses, it is therefore indispensable to identify the exact part of the tissue or even the exact cell. Laser-based microdissection is a tried and tested technique able to produce pure and well-defined cell material for further analysis with proteomic and genomic techniques. It sheds light on the heterogeneity of cancer or other complex diseases and enables the identification of biomarkers. This review aims to raise awareness for the reconsideration of laser-based microdissection and seeks to present current state-of-the-art combinations with omic techniques.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available