PubMed Health⌕ Search

Biomedical subjects

Francisco Martínez-Murillo

Publications and source records attributed to Francisco Martínez-Murillo.

4 recordsLinked to original sources

Transposon insertion site profiling chip (TIP-chip).

Mobile elements are important components of our genomes, with diverse and significant effects on phenotype. Not only can transposons inactivate genes by direct disruption and shuffle the genome through recombination, they can also alter gene expression subtly or powerfully. Currently active transposons are highly polymorphic in host populations, including, among hundreds of others, L1 and Alu elements in humans and Ty1 elements in yeast. For this reason, we wished to develop a simple genome-wide method for identifying all transposons in any given sample. We have designed a transposon insertion site profiling chip (TIP-chip), a microarray intended for use as a high-throughput technique for mapping transposon insertions. By selectively amplifying transposon flanking regions and hybridizing them to the array, we can locate all transposons present in a sample. We have tested the TIP-chip extensively to map Ty1 retrotransposon insertions in yeast and have achieved excellent results in two laboratory strains as well as in evolved Ty1 high-copy strains. We are able to identify all of the theoretically detectable transposons in the FY2 lab strain, with essentially no false positives. In addition, we mapped many new transposon copies in the high-copy Ty1 strain and determined its Ty1 insertion pattern.

Animals↗

Role of cocaine- and amphetamine-regulated transcript in estradiol-mediated neuroprotection.

Estrogen reduces brain injury after experimental cerebral ischemia in part through a genomic mechanism of action. Using DNA microarrays, we analyzed the genomic response of the brain to estradiol, and we identified a transcript, cocaine- and amphetamine-regulated transcript (CART), that is highly induced in the cerebral cortex by estradiol under ischemic conditions. Using in vitro and in vivo models of neural injury, we confirmed and characterized CART mRNA and protein up-regulation by estradiol in surviving neurons, and we demonstrated that i.v. administration of a rat CART peptide is protective against ischemic brain injury in vivo. We further demonstrated binding of cAMP response element (CRE)-binding protein to a CART promoter CRE site in ischemic brain and rapid activation by CART of ERK in primary cultured cortical neurons. The findings suggest that CART is an important player in estrogen-mediated neuroprotection and a potential therapeutic agent for stroke and other neurodegenerative diseases.

Animals↗

Stacking the deck: double-tiled DNA microarrays.

Microarrays-high-throughput platforms for analyzing the gene expression and features of total genomic DNA, among other applications-are gaining in popularity as researchers discover ever more uses for their unbiased and broad feature sets. At present, microarray analyses are limited by the number of individual features that can be placed on each array. Here we describe a double-tiling method that significantly increases the number of sequences present on an array, and we show that successful transcriptional profiling is possible and straightforward with such arrays. With this method, we and others can save money and precious samples by using fewer arrays to cover a region, or can carry out investigations at significantly higher resolution without incurring prohibitive costs or increasing the amount of sample required for the experiment.

Carbocyanines↗

Multiple-laboratory comparison of microarray platforms.

Microarray technology is a powerful tool for measuring RNA expression for thousands of genes at once. Various studies have been published comparing competing platforms with mixed results: some find agreement, others do not. As the number of researchers starting to use microarrays and the number of cross-platform meta-analysis studies rapidly increases, appropriate platform assessments become more important. Here we present results from a comparison study that offers important improvements over those previously described in the literature. In particular, we noticed that none of the previously published papers consider differences between labs. For this study, a consortium of ten laboratories from the Washington, DC-Baltimore, USA, area was formed to compare data obtained from three widely used platforms using identical RNA samples. We used appropriate statistical analysis to demonstrate that there are relatively large differences in data obtained in labs using the same platform, but that the results from the best-performing labs agree rather well.

Baltimore↗