SOURCE: Xtalks

Xtalks Webinars

October 09, 2015 07:00 ET

Revisiting the Central Dogma of Molecular Biology at the Genome Scale and in Single Cells, New Webinar Hosted by Xtalks

TORONTO, ON--(Marketwired - October 09, 2015) - During this webinar, industry experts Dr. Rong Fan, Associate Professor of Biomedical Engineering, Yale University and Dr. Ioanna Andreou, Senior Scientist, QIAGEN, will revisit the central dogma of molecular biology, and discuss single-cell DNA-RNA co-analysis, and cell heterogeneity. The live broadcast takes place on Tuesday, October 20, 2015 at 11am EDT / 4pm BST (UK GMT +1).

The central dogma describes how genetic information is transcribed to messenger RNAs and expressed to produce proteins that form the building blocks of a living cell and fulfill all biological functions. However, it turns out the correlation between DNA copy number variation, mRNA expression level, and the production of specific proteins is very poor, which is quite puzzling and represents a major challenge to accurate prediction of cell fate and function from genetic information -- one of the main goals of Genomic Medicine.

This is due in part to the following reasons: First, there exists a complex gene-gene interaction network controlled by a range of epigenetic switches, suggesting the need for examining all genes at the same time as well as the regulatory elements at the genome scale. Second, non-genetic heterogeneity of single cells and stochastic fluctuation of RNAs and proteins, which indicates the need for high-throughput analysis in single cells. Despite recent advances in DNA sequencing technologies, it is still challenging to investigate the information flow through all the levels of the central dogma of molecular biology (DNA to RNA to protein) across the whole genome and in single cells.

The research at Yale University aims to develop an integrated microsystem that can manipulate single cells, extract and process genomic DNA, mRNAs and cytoplasmic proteins from the same cell, and subsequently perform whole pool amplification. In conjunction with the next-gene sequencing, it can enable us to conduct genome-scale, multi-level (genomic, epigenomic, transcriptomic and functional proteomic, or even phenotypic) analysis of single cells. Yale University is applying this platform to the study of single tumor cells from hematologic cancer patients in order to dissect the clonal evolution of cancer cells as well as reveal the underlying mechanisms that drive the development of such a heterogeneous malignancy in human.

To learn more about this event visit: Revisiting the Central Dogma of Molecular Biology at the Genome Scale and in Single Cells

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