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Customer References
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"[StellARrays™] were remarkably efficient and precise in identifying
Notch as a previously unrecognized signaling pathway of importance to mouse
plasmacytomas. The arrays quickly established that NFkB signaling pathways
were activated downstream of a transgene implicated in human lymphoma and
postulated to be oncogenic by constitutively activating the NFκB cascade."
Herbert C. Morse III, M.D.
Chief, Laboratory of Immunopathology
National Institute of Allergy and Infectious Diseases National Institutes of Health
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"This is the best technology I have seen to detect subtle but real differences
in gene expression that can result in profound variations in biological function.
The real key is their use of the Global Pattern Recognition™ algorithm
that circumvents the ambiguities caused by reliance of a single normalization control."
David V. Serreze, Ph.D.
Senior Staff Scientist
The Jackson Laboratory
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"I feel your [StellARray™] system is much more informative than the
standard microarray method. Having analyzed a couple of different cell models
I really did not get any good data from microarrays. StellARrays™
revealed more gene expression information."
Jun Yamaou
University of Calgary, Laboratory of Pere Santamaria, PhD
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"I have had the opportunity to use Global Pattern Recognition™ (GPR)
since 2003. For anyone doing multi-gene relative expression analysis, this
is really the most reliable, easiest, and fastest way to determine
statistically significant differences in expression levels without the
difficult task of finding the 'perfect' housekeeping gene."
Gerrit J. Bouma, Ph.D.
Assistant Professor, Department of Biomedical Sciences
Animal Reproduction and Biotechnology Laboratory
Colorado State University
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My group has successfully used the real time quantitative PCR system developed
by Bar Harbor Biotechnology to confirm and extend preliminary microarray data
analysis in our experimental system, comparing mRNA from tolerised, immunised
and naive mice. We have been pleased with the quality of the plates supplied,
some of which were custom modified and have found the GPR analysis software
easy to use. We chose this system because it enabled us to test for 384
selected genes from small numbers of cells (as little as 100ng cDNA). We also
liked the fact that the GPR analysis, by comparing each gene with every other,
offered a more rigorous test of differences in gene expression than traditional
real time PCR. The system allowed us to quickly obtain reliable data and
further our investigations into transplant tolerance."
Diane Scott, D.Phil
Senior Lecturer, Immunology
Imperial College London
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