Biomedical subjects

Jo A Del Rio

Publications and source records attributed to Jo A Del Rio.

3 recordsLinked to original sources

PubMed2005

Adult mouse brain gene expression patterns bear an embryologic imprint.

The current model to explain the organization of the mammalian nervous system is based on studies of anatomy, embryology, and evolution. To further investigate the molecular organization of the adult mammalian brain, we have built a gene expression-based brain map. We measured gene expression patterns for 24 neural tissues covering the mouse central nervous system and found, surprisingly, that the adult brain bears a transcriptional "imprint" consistent with both embryological origins and classic evolutionary relationships. Embryonic cellular position along the anterior-posterior axis of the neural tube was shown to be closely associated with, and possibly a determinant of, the gene expression patterns in adult structures. We also observed a significant number of embryonic patterning and homeobox genes with region-specific expression in the adult nervous system. The relationships between global expression patterns for different anatomical regions and the nature of the observed region-specific genes suggest that the adult brain retains a degree of overall gene expression established during embryogenesis that is important for regional specificity and the functional relationships between regions in the adult. The complete collection of extensively annotated gene expression data along with data mining and visualization tools have been made available on a publicly accessible web site (www.barlow-lockhart-brainmapnimhgrant.org).

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PubMed2004

Exploring interactions between rat hepatocytes and nonparenchymal cells using gene expression profiling.

Cocultivation of primary hepatocytes with a plethora of nonparenchymal cells (from within and outside the liver) has been shown to support hepatic functions in vitro. Despite significant investigation into this phenomenon, the molecular mechanism underlying epithelial-nonparenchymal interactions in hepatocyte cocultures remains poorly understood. In this study, we present a functional genomic approach utilizing gene expression profiling to isolate molecular mediators potentially involved in induction of liver-specific functions by nonparenchymal cells. Specifically, primary rat hepatocytes were cocultivated with closely related murine fibroblast cell types (3T3-J2, NIH-3T3, mouse embryonic fibroblasts) to allow their classification as "high," "medium," or "low" inducers of hepatic functions. These functional responses were correlated with fibroblast gene expression profiles obtained using Affymetrix GeneChips. Microarray data analysis provided us with 17 functionally characterized candidate genes in the cell communication category (cell surface, extracellular matrix, secreted factors) that may be involved in induction of hepatic functions. Further analysis using various databases (i.e., PubMed, GenBank) facilitated prioritization of the candidates for functional characterization. We experimentally validated the potential role of two candidates in our coculture model. The cell surface protein, neural cadherin (N-cadherin), was localized to hepatocyte-fibroblast junctions, while adsorbed decorin up-regulated hepatic functions in pure cultures as well as cocultures with low-inducing fibroblasts. In the future, identifying mediators of hepatocyte differentiation may have implications for both fundamental hepatology and cell-based therapies (e.g., bioartificial liver devices). In conclusion, the functional genomic approach presented in this study may be utilized to investigate mechanisms of cell-cell interaction in a variety of tissues and disease states.

Animals↗

PubMed2002

Genomics and neurological phenotypes: applications for seizure-induced damage.

It is sometimes assumed that because the brain is such a complex organ, experimental genomics methods are not directly applicable to neurobiological studies. In fact, it is because the brain and brain process are complex that it is even more important to apply methods that allow large numbers of genes to be monitored across a significant number of experiments. How can we begin to understand the mechanisms underlying various brain functions, and how can we understand what can and does go wrong in disease? How can such tasks be accomplished without being overly costly and time- and labor-intensive? We and others have put DNA microarray technology to work to address a variety of biological problems, and in particular to study the brain and various brain functions. This review provides an overview of how we use DNA microarray technology to identify the genes that are responsible for specific neurological responses, seizure-induced responses, and the unique structures and functions of different brain regions.

Animals↗