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SUMMARY:“iPS Proteomes in Health and Disease&quot\; - Prof. Angus Lamond
 \; School of Life Sciences\, University of Dundee
DTSTART:20191111T120000Z
DTEND:20191111T130000Z
UID:TALK130270@talks.cam.ac.uk
CONTACT:Bobbie Claxton
DESCRIPTION:Deep mining of proteomes\, using mass spectrometry (MS) based 
 proteomics technology\, can provide invaluable insights\, at a systems lev
 el\, into both physiological responses in healthy cells and mechanisms cau
 sing disease phenotypes. This allows unbiased\, global\, quantitative meas
 urements linking cellular phenotypes with changes in protein dynamics in b
 oth healthy and diseased cells. A major challenge that emerges from this a
 bility to generate very large sets of proteomics and parallel ‘poly-omic
 s’ data is how to manage\, analyse and integrate the huge resulting volu
 mes of complex information. I will describe our progress in a large-scale\
 , poly-omics project where we have used quantitative proteomics to analyse
  many different human induced pluripotent stem cell lines (iPSCs)\, derive
 d from both healthy donors and patient cohorts with inherited genetic diso
 rders. This project highlights some of the technical and analytical challe
 nges inherent in performing proteomic analyses at this scale. I will also 
 describe user-friendly\, computational tools we have built for the effecti
 ve management and sharing of these large\, multidimensional data sets (see
 \; www.peptracker.com/epd). Our results show that disease causing mutation
 s result in alterations in the proteomes of iPSC lines that reflect phenot
 ypic defects observed in differentiated adult tissue in patients.
LOCATION:Babraham - The Cambridge Building - Kings Hedges Room
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