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Dyversity 2D Gel Image Analyser used at Major UK
University To Help Accurately Detect Proteins Associated with Stem Cell
Differentiation
December 12 2007 Cambridge, UK: Cambridge, UK: Syngene, a world-leading
manufacturer of image analysis solutions, is pleased to announce that one of the
UK’s top universities, Imperial College London, is using Dyversity, Syngene’s
innovative 2D gel imaging system,
to assist in precise identification of proteins associated with directing
embryonic stem cells (ESCs) to a particular cell lineage.
Scientists in the Institute of Biomedical Engineering at Imperial College are
using Dyversity to rapidly image 2D DIGE (Differential Gel Electrophoresis) gels
containing Cy dye labelled proteins. The proteins were isolated from two
different conditioned media, where both media direct murine ESCs to
differentiate into mesoderm lineages. Therefore, by identifying and analysing
any common proteins seen on the Dyversity images, researchers at the Institute
of Biomedical Engineering in collaboration with the stem cell bio-processing
group in the
Department of Chemical Engineering, hope to determine which signalling factors
direct differentiation.
Dr Judit Nagy, Director of Proteomics Facility, Institute of Biomedical
Engineering, commented: “Due to the potential for ESCs to develop into any cell
line, they could become a good source of bone tissue, for example. However,
before we can use ESC in this way, we have to find out which proteins direct
differentiation and this is where we hope our proteomics approach using 2D DIGE
gels and MALDI-TOF
analysis will provide some clues.”
“We use Dyversity as part of this work because it is capable of generating high
res-olution images of our 2D DIGE gels in a few minutes, which is very important
when we compare different gels to locate common proteins,“ concluded Dr Nagy.
Laura Sullivan, Syngene’s Divisional Manager stated: “We are delighted to see
our Dyversity system being used as part of critical stem cell research at such a
prestigious university like Imperial College. Their application shows that
Dyversity is a high performance system capable of imaging very complex 2D
protein gels & should be seen as an invaluable tool for any proteomics research
programmes.

-Ends-
For Further Information Contact:
Jayne Arthur, Syngene, Beacon House, Nuffield Road, Cambridge, CB4 1TF, UK.
Tel: +44(0) 1223-727123 Fax +44 (0) 1223-727101
Email: jayne.arthur@syngene.com
Web site: www.syngene.com
Dr Judit Nagy, Institute of Biomedical Engineering, Imperial College London,
Bessemer building, London, SW7 2AZ, UK.
Tel: +44 (0)20 75943140 Fax: +44 (0)20 7594 0704
Email: j.nagy@imperial.ac.uk
Web site: www.imperial.ac.uk
Editor Contact:
Dr Sue Pearson, PO Box 170, Hitchin, Hertfordshire SG5 3GD, UK.
Tel/Fax +44 (0) 1462-635327 Email:
sue6.pearson@ntlworld.com
Note to Editors
About Syngene
Syngene is a world-leading supplier of integrated imaging solutions for analysis
and documentation of gel-based information. Syngene’s systems are used by more
than 10,000 research organizations organisations and over 50,000 individual
scientists world-wide and include many of the world’s top pharmaceutical
companies and major research institutes.
Syngene, founded in 1997 is a division of the Cambridge based Synoptics Group.
The Group’s other divisions, Syncroscopy and Synbiosis, specialise in digital
imaging solutions for microscopy and microbial applications respectively.
Synoptics currently employs 60 people in its UK and subsidiary operation in
Frederick, USA.
About Imperial College London
Consistently rated in the top three UK university institutions, Imperial College
London is a world leading science-based university whose reputation for
excellence in teaching and research attracts students (11,500) and staff (6,000)
of the highest international quality. Innovative research at the College
explores the interface between science, medicine, engineering and management and
delivers practical solutions that enhance the quality of life and the
environment - underpinned by a dynamic enterprise culture.
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