Corporate Banner
Satellite Banner
Technology Networks Header
Friday, January 30, 2015
Technology Networks
 
Register | Sign in
Home Page > Videos > Single Cell Expression profiling
  Videos

Return

Single Cell Expression profiling
TATAA Biocenter

Mikael Kubista, Professor, TATAA Biocenter

Abstract
There is surprisingly large variation in the copy number of transcripts among even seemingly like cells. Under most conditions for essentially all genes and tissues the variation among cells for any given transcript can be fitted quite well with a log normal distribution. The variation is caused by transcriptional bursting, which is a dynamic process expected to be correlated for genes critical for the same cellular process. This leads to correlated expression levels of related genes among individual cells. Most genes do not have correlated expression on single cell level and it makes no sense normalizing single cell expression data to reference genes. Rather cells can be classified based on the correlated expression of important genes. In my talk I will show how such single cell expression correlation can be used to distinguish cells as well as cell subtypes. Finally, I show how to cope with genomic DNA background in expression profiling studies with the ValidPrime concept.

Request more information
Company product page



For access to this article, enter your email address to instantly recieve a Password Reset link.

Please enter your email address below:

Existing users please Sign In here. Don't have an account? Register Here for free access.

Don't have an account? | Register Here

Scientific News
Noisy Data Facilitates Investigation of Breast Cancer Gene Expression
Study tested the potential of denoising autoencoders to identify and extract complex patterns from genomic data.
New 'Systems Genetics' Study Identifies Possible Target For Epilepsy Treatment
A single gene that coordinates a network of about 400 genes involved in epilepsy could be a target for new treatments, according to research.
First Major Analysis Of Human Protein Atlas Published
A research article published in Science presents the first major analysis based on the Human Protein Atlas, including a detailed picture of the proteins that are linked to cancer, the number of proteins present in the bloodstream, and the targets for all approved drugs on the market.
Insights Into A Rare Genetic Disease
Study shows mutation in NGLY1 gene is linked to a genetic disorder with severe consequences.
Hidden Cell Types Revealed
New statistical method for RNA-seq analysis identifies, corrects for hidden structure between cells.
Prognostic Test for E2F4 in Breast Cancer Developed
A gene signature in E2F4 has been identified which is predictive of estrogen receptor positive breast cancer.
UMMS Receives $6.1 M to Develop Model for Predicting Gene Expression
Insight into regulation of the genes that allow the immune system to recognize pathogens will help scientists rationally design new vaccines and prevent autoimmunity.
Project to Focus on Link Between Immune System and Brain Disorders
Researchers to investigate whether mood disorders, such as depression, and neurodegenerative diseases, such as Alzheimer’s, could be treated by targeting the immune system.
Predicting Antibiotic Resistance
A common set of features appear to be responsible for the development of resistance to several types of antibiotics.
Study Finds Genetic Clue To Menopause-Like Condition In Young Women
NIH-funded research may also contribute to understanding normal menopause.
Scroll Up
Scroll Down
Skyscraper Banner
SELECTBIO Market Reports
LabTube - Videos for the Scientific Community
eposters - The Online Journal of Scientific Posters
Follow TechNetcom1 on Twitter
Technology Networks Ltd. on LinkedIn