Seminar: Dr. Brian Gloss

Trends in Transcriptomics

3 February 2014 00:00 hrs.
Figdor Lecture Theatre, 8th floor RIMLS Building, Geert Grooteplein 26-28, route 289
Trends in Transcriptomics

Dr. Brian Gloss, Kinghorn Cancer Centre, Garvan Institute of Medical Research, Sydney, Australia


Dr. Ir. Marcel Coolen, department of Human Genetics, Radboudumc

03-02-2014 00:00:00Europe/AmsterdamTrends in Transcriptomics  Figdor Lecture Theatre, 8th floor RIMLS Building, Geert Grooteplein 26-28, route

Remarks / more information:

Gloss , DavidAs DNA sequencing technology has become increasingly accessible to researchers, there has been an explosion in the understanding of the molecular complexity underlying the biology of health and disease. The fields of genomics, epigenomics and transcriptomics are now capable of answering deep questions about cellular biology that were inconceivable 5 years ago. Dr. Gloss will discuss two emerging techniques in transcriptomics that he is using to investigate the role of the transcriptome in health and disease. 



RNA Capture Sequencing

It is becoming clear that the transcriptome is highly dynamic and that more of the genome is transcribed -and is biologically functional- than previously thought. However, technologies to identify and quantify the many rare and/or complex transcripts have been lacking. The application of large-scale customizable oligonucleotide manufacturing techniques makes is possible to target transcription arising from specified regions of the genome and thereby sequence rare and complex transcripts in unprecedented detail and depth. Work undertaken in the Mattick and Dinger lab evaluating transcripts arising from GWAS loci previously thought to be in non-functional regions of the genome is elucidating novel RNA molecules that may allow researchers to better understand the biology underlying many disease processes.

Temporal Dynamics of RNA

Low cost-high throughput sequencing technology is allowing researchers to revisit questions too costly or complex to answer previously. One example of this is transcriptional profiling studies of development, which are typically sampled at only a small number of time points. In the case of mammalian embryonic stem (ES) cell development, which involves large numbers of rapid changes in a relatively small time frame, such profiling is likely to miss key developmental transitions. Furthermore, as RNA signals and especially ncRNAs can be extremely labile, it is probable that our understanding of transcriptional events underlying normal development - and consequently developmental diseases such as cancer - is missing a lot of detail. We have performed RNA sequencing in unprecedented temporal detail on the first 5 days of ES cell development and are in the process of unraveling exquisite complexity of coding and noncoding gene dynamics. Finer understanding of normal transcriptional complexity over time may allow the improved interpretation of existing transcriptome studies, which often presume a stable transcriptomic state.

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