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Omics approaches and large-scale data analysis in ageing research 1
Published on March 29, 2017 38 min
Other Talks in the Series: Aging
Caenorhabditis elegans: a platform for accelerating research on ageing
- Prof. Nektarios Tavernarakis
- University of Crete, Greece
Life course of the brain during normal aging and Alzheimer's disease
- Prof. Caleb Finch
- The University of Southern California, USA
Carcinogenesis and aging
- Prof. Vladimir N. Anisimov
- N.N. Petrov Research Institute of Oncology, Russia
My name is João Pedro de Magalhães. And I'm a Senior Lecturer at University of Liverpool, where I lead Integrative Genomics of Ageing Group. And our research focuses on understanding the genetic cellular, molecular mechanisms of aging, in particular, using high-throughput approaches. And this lecture will focus on different omics approaches and large-scale data analysis, and how these have been applied in aging research.
So after a brief introduction, I'll discuss several technical and methodological platforms that are available to study aging from different perspectives, and then I'll also discuss data analysis, data integration, and network biology approaches, or how to make sense of all the data that's being generated.
And I'll start by telling you the story of Qin Shi Huang. He was the first emperor of the Qin dynasty in China over 2,000 years ago. He was a very wealthy and powerful man. He ordered construction of the Terracotta Army to protect his mausoleum. But he didn't want to grow old and die and so he ordered the court physicians at that time to discover or develop an elixir of youth. And they came up with these small pills that he was to take every day that would allow him to live forever, or so they claimed. Now unfortunately for him, the key ingredient of those pills was mercury, which we now know is toxic. And so sadly and ironically, he died of mercury poisoning. Now the reason I tell the story is, first of all, it shows that from the beginning of time, we've wanted to avert age-related degeneration and extend our lives, but also, and most importantly, it shows that what we can achieve in a given time depends on our current technological progress. If I wanted to build an iPhone 50 years ago, I could put all the money in the world into it, I would not have been able to do it in a timely fashion. And what I hope to convince you today is that there are a huge amount of very exciting and very powerful technologies that we can use to study aging, that I believe will allow us to gain insight into the aging process in a way that's never been possible before.