Array-based comparative genomic hybridization, RNA expression profiling, and proteomic analyses are new molecular technologies used to study breast cancer.
Routine molecular imaging technology using F-FDG (molecular marker: increased sugar metabolism) has revolutionized the noninvasive detection of tumour extent and metastatic spread for a great number of cancers (see above).
In the present work, molecular recognition technology, using SuperLig® 167 resin, was applied to recover Ni, Mo and Al from H2SO4 leachate of spent HDS catalyst.
Over the past two decades, advances in molecular genetics technology using the complete rice genome sequence have facilitated genetic analyses, including the mapping and cloning of quantitative trait loci (QTLs) that control complex traits [ 15, 16].
Advanced technologies using multiplex molecular assays and polymerase-chain reaction increase the ability to identify viral pathogens and may ultimately impact antibacterial use.
Advanced technologies using multiplex molecular assays and PCR improve the diagnostic ability to identify viral pathogens in a timely manner and may impact the use of antibacterials in patients with no bacterial infection identified.
Molecular electronics as technology using single molecule, small group of molecules, carbon nanotubes or semiconductor to perform electronic function.
Positron emission tomography (PET) is a molecular imaging technology used for in vivo measurement of metabolism and neurochemistry, including measurement of cerebral blood flow, glucose metabolism, oxygen utilization, and density of neuroreceptors or other molecular targets [1, 2].
Modern molecular technologies (transcriptional profiling using microarrays, proteomic analyses, and real-time quantitative reverse-transcription PCR) have been employed to characterise MTB in the various persistence models currently in use, which have revealed both similarities and differences between them [ 6, 7].
As such, REBs have the potential to act as surrogates for cytogenetic data traditionally obtained using molecular technologies such as comparative genomic hybridization.
Therefore, using traditional molecular technologies, it is difficult to study variations of less abundant microorganisms in different samples.
