Examining glycosylation changes

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Video in TIB AV-Portal: Examining glycosylation changes

Formal Metadata

Title
Examining glycosylation changes
Author
License
CC Attribution - NoDerivatives 4.0 International:
You are free to use, copy, distribute and transmit the work or content in unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
Identifiers
Publisher
Release Date
2013
Language
English

Content Metadata

Subject Area
Abstract
Professor Lokesh Joshi talks about the association of glycosylation changes with diseases and new diagnostic and prognostic targets that are developed. In particular, he speaks about the examination of which glycosylation genes are turned up and down in a disease and measurements thereof by means of a microarray analysis.
Keywords glycomics biochemistry
Glycosylation
Coast Province Smoking (cooking) Body weight
Waterfall Kohlenhydratchemie
Kohlenhydratchemie Gesundheitsstörung Cell (biology) Cancer
Sample (material) Kohlenhydratchemie Combine harvester Sample (material) Cell (biology) Cell (biology) Diol Kohlenhydratchemie Toxin
Kohlenhydratchemie Gesundheitsstörung Cell (biology) Cell growth
Kohlenhydratchemie Gesundheitsstörung Thermoforming
Sample (material) Molecule Deterrence (legal) Kohlenhydratchemie Cell (biology) Protein Binding energy Set (abstract data type)
Sample (material) Stem cell Cancer
Setzen <Verfahrenstechnik> Selenite Cell (biology) Cancer Chemical reaction Block (periodic table)
Setzen <Verfahrenstechnik> Cell (biology) Binding energy Microarray
Gesundheitsstörung Surface science Cell (biology) Cell (biology) Set (abstract data type) Process (computing) Genotype
Gesundheitsstörung
i.
hi my name is located show she and a professor of like a science is as if i smoke professor based on your goal weight and the west coast of ireland what we're working on is still living technologies to understand the subsurface signatures and this is an ecosystem and you can tell by looking at the leaves on the tree where the tree is healthy or.
what season it is you can said this is winter this is somewhere this is all too modest his fall looking at that now sell so the same thing sell so small ecosystems and by looking at them usual to tell whether the salaries young said his old if they have good sugars on them if they have had issues and them then we know that sales of dishes a healthy enough to have to ensure that the wrong they mean.
it is a disease but how do you understand that how do you study this important what we're hoping is technology that can get a snapshot of the fingerprints of the cells each cell has a stigma should of sugars here you have a bacterial talks in here are two different back to the corporate calls to different diseases and here's a cancer cell each one of these.
is covered with different sugars are different combinations of sugars and if you have the technology to capture that combination of the sugars than you can generate a pattern or a signature that's the dignity of every little thing in the lab that we look at the sugars and we don't have diesel fingerprints of the cells or have to see them samples from the patients so you can imagine that these are the.
to fingerprints of the cells of sugars under two different conditions of the growth or two different diseases or two different bacteria which are we look at it.
and then we generate bar called form these sugar signatures and the assigned it to the different diseases or different stages of the disease.
now this is what we're doing the lab this is amazing technology where we put a set of proteins are molecules that identify specific sugar signatures so we make them into lab to bind them by the sample they are and then generate a pattern does green signals are the ones where the cell is binding and showing example how we do it.
so we discussed this is a device a small device which basically it opens like this down and then you can look at a slight so this light has a different quadrants and you can put your sample in their sample could be cancer sample could be different stem cells sample bacteria sample and you can close the holding together.
just like this and then what you do that he mixes some regions there and you out what we call intubation that means you mix holding together like this and put an image or when you do that it generates an image and this is the image that you see from the slice is a beautiful image here of different sports to green sports shoe will wear.
the reaction is taking place where there is a difference and then what you can do here we have each different types of cancer cells and each of them is generating a different pattern of binding so then we nor did the differences in all different cancer types what we can also do is to make it visually more appealing is that we can convert those little linear plotting to radar blocks.
and here we have all deported that point to show goes on the same microarrays lies that i showed you second a girl and here we have three different cell types and you can see that the red the blue and green the old generated different binding pattern and that binding pattern is a fingerprint of the celtic like a fingerprint have to sell in disguise even more powerful we took one of the cell lines.
it also able to see the mutation or the changes that the set is accumulating doing the disease process so this wedding the goal he said that the more down the or the conditions of the diagnostic people or industry that she will do a sign bar course to every disease every cell every stage every bacteria every virus and this was a patient walks in they can match.
the bar called war is in the raf is by brain tell you what the disease varies and just think everybody would have very very exciting thing that's happening in the field. i.
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