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Structural genomics in endocrinology

Authors: Smit, J. W.; Romijn, J. A.;

Structural genomics in endocrinology

Abstract

Traditionally, endocrine research evolved from the phenotypical characterisation of endocrine disorders to the identification of underlying molecular pathophysiology. This approach has been, and still is, extremely successful. The introduction of genomics and proteomics has resulted in a reversal of this sequence of endocrine research: reverse endocrinology. This approach has provided endocrinology with powerful tools to dissect novel molecular pathways involved in health and disease and to identify new drug targets, like the peroxisome-proliferator activated receptor (PPAR) nuclear receptor family. The reiterative combination of innovative genomics and proteomics, and classical endocrine approaches will enable maintenance of endocrinology as a front-runner in biological research and innovate therapeutical approaches in a continuing interaction between bed and bench.

Country
Netherlands
Related Organizations
Keywords

Proteomics, Biomedical Research, Molecular Structure, Protein Conformation, Nuclear Proteins, Receptors, Cytoplasmic and Nuclear, Genomics, Hormones, Endocrinology, Humans, Insulin

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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