-
Categories
-
Pharmaceutical Intermediates
-
Active Pharmaceutical Ingredients
-
Food Additives
- Industrial Coatings
- Agrochemicals
- Dyes and Pigments
- Surfactant
- Flavors and Fragrances
- Chemical Reagents
- Catalyst and Auxiliary
- Natural Products
- Inorganic Chemistry
-
Organic Chemistry
-
Biochemical Engineering
- Analytical Chemistry
-
Cosmetic Ingredient
- Water Treatment Chemical
-
Pharmaceutical Intermediates
Promotion
ECHEMI Mall
Wholesale
Weekly Price
Exhibition
News
-
Trade Service
How does cancer arise? How does cellular composition affect how malignant a tumor is? These are deep questions that are difficult to answer, but critical to understanding the disease and finding the right treatmen.
Proteins play the most important role in various diseas.
Intrigued by these questions, the multidisciplinary scientists of the research group he leads have invented an innovative method called "deep visual proteomic.
Deep visual proteomics unites four techniques
For the first time, deep visual proteomics integrates advances in four different technologies into a single workflow: First, advanced microscopy generates high-resolution tissue ma.
"Our new concept, 'deep visual proteomics', could be a game-changer for molecular pathology in hospita.
Relevance to Clinicopathology
In the new study, published in Nature Biotechnology, the researchers applied "deep visual proteomics" to cells from patients with acinar cell carcinoma and melano.
The technology can be used to describe all other tumor types in similar detail, draw on archived patient biobanks, and find new targets for personalization—that is, tailoring cancer therapies to patients—even for previously drug-resistant tumo.
Cancer can be better understood using 'deep visual proteomic.
"By combining microscopy, artificial intelligence and ultrasensitive mass spectrometry-based proteomics, we have developed a very powerful approach to understanding the molecular connections of healthy and diseased cel.
