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Output details

15 - General Engineering

University of Kent

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Output 43 of 84 in the submission
Article title

Inferring Biological Mechanisms from Spatial Analysis: Prediction of a Local Inhibitor in the Ovary

Type
D - Journal article
Title of journal
Proceedings of the National Academy of Sciences
Article number
-
Volume number
106
Issue number
2
First page of article
456
ISSN of journal
0027-8424
Year of publication
2009
URL
-
Number of additional authors
4
Additional information

The multidisciplinary work, in collaboration with Imperial College London (Prof. Steve Franks, s.franks@imperial.ac.uk), proposes a novel approach for the spatial analysis of biological cells to identify sources of regulatory molecules. The method quantifies the relative spatial positions of biological structures in histological tissue sections and narrows the field for candidate growth factors or antagonists. This approach has wide applicability within diverse branches of developmental and cell biology for studying signalling between cells. For example, findings from this paper have been used by Fenwick et al. (Endocrinology, 2011, 152, 3515) to target the identification of bone-morphogenetic protein antagonists in the ovary.

Interdisciplinary
Yes
Cross-referral requested
-
Research group
2 - Instrumentation, control and embedded systems
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-