Modern approaches to age-old questions about thyroid tumors.

There is a compelling need for improvement in the diagnosis of thyroid nodules, in predicting thyroid cancer prognosis and, in the treatment of recurrent well-differentiated and anaplastic thyroid cancer. In this review we discuss the impact of genomic technologies such as microarrays, SAGE, and proteomics on the diagnosis, prognosis and treatment of thyroid cancer. Gene expression profiling using these technologies has shown promising results in the molecular classification of different types of cancer, including thyroid.

Analysis of stage-specific gene expression in the bloodstream and the procyclic form of Trypanosoma brucei using a genomic DNA-microarray.

A microarray comprising 21,024 different PCR products spotted on glass slides was constructed for gene expression studies on Trypanosoma brucei. The arrayed fragments were generated from a T. brucei shotgun clone library, which had been prepared from randomly sheared and size-fractionated genomic DNA.

Manufacturing DNA microarrays from unpurified PCR products.

For the production of DNA microarrays from PCR products, purification of the the DNA fragments prior to spotting is a major expense in cost and time. Also, a considerable amount of material is lost during this process and contamination might occur. Here, a protocol is presented that permits the manufacture of microarrays from unpurified PCR products on aminated surfaces such as glass slides coated with the widely used poly(L-lysine) or aminosilane.