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Within the benefit of new advances in molecular technologies, it has allowed more precise and reproducible analyses during the past decade and has brought new insights to the understanding of a crucial role of DNA, RNA and proteins rather now recognized as biological markers in the tumor area investigations.
Therefore, using traditional molecular technologies, it is difficult to study variations of less abundant microorganisms in different samples.
Considering the dramatic evolution of molecular technologies, it is easy to foresee that highly sensitive and accurate procedures will shortly overcome specificity problems.
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Using molecular technology, it is becoming increasingly apparent that genetically altered cells are often widespread across the mucosa of patients with oral cancer, extending into clinically and histologically normal tissue, and that these cells can drive the process of field cancerization.
With the advent of molecular biology technologies it is now possible to study biochemical and molecular mechanisms underlying stress response signalling.
With recent advances in molecular genetic technologies, it has become feasible to perform whole-genome studies to search for osteoporosis risk genes [ 11].
We need to demonstrate that evolution science is alive and well, as well as show how it is making remarkable progress through the application of molecular technologies -- even though it does not have all the answers.
The development of novel molecular technologies such as cDNA microarrays has made it possible to identify genes involved in chemosensitivity.
Advances in cellular and molecular technologies – in particular, in imaging – have made it possible to understand a vast range of cellular and molecular mechanisms underlying cell function but many more remain obscure.
However, lately with the advance of radiochemistry and of molecular imaging technology, it became evident that PET could help novel drug development process.
With the rapid advances in molecular genetic technology, it now is possible to test the entire genome rather than focus on individual genes suspected to play a role (i.e., candidate genes) or use genetic variants spaced at wide intervals throughout the genome.
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