Antisense c-myb oligonucleotides inhibit intimal arterial smooth muscle cell accumulation in vivo.

Synthetic antisense oligonucleotides have been used to dissect gene function in vitro. Technical difficulties prevented the use of this approach for investigating the effect of gene products in vivo. Here we report the use of local delivery of antisense c-myb oligonucleotide to suppress intimal accumulation of rat carotid arterial smooth muscle cells. Our results suggest that antisense oligonucleotides can be used to define the in vivo biological role of specific macromolecules in the blood vessel wall and could potentially serve as a new class of therapeutic agents for cardiovascular disorders.     

Clusters of iron-rich cells in the upper beak of pigeons are macrophages not magnetosensitive neurons

Understanding the molecular and cellular mechanisms that mediate magnetosensation in vertebrates is a formidable scientific problem. One hypothesis is that magnetic information is transduced into neuronal impulses by using a magnetite-based magnetoreceptor. Previous studies claim to have identified a magnetic sense system in the pigeon, common to avian species, which consists of magnetite-containing trigeminal afferents located at six specific loci in the rostral subepidermis of the beak. These studies have been widely accepted in the field and heavily relied upon by both behavioural biologists and physicists. Here we show that clusters of iron-rich cells in the rostro-medial upper beak of the pigeon Columbia livia are macrophages, not magnetosensitive neurons. Our systematic characterization of the pigeon upper beak identified iron-rich cells in the stratum laxum of the subepidermis, the basal region of the respiratory epithelium and the apex of feather follicles. Using a three-dimensional blueprint of the pigeon beak created by magnetic resonance imaging and computed tomography, we mapped the location of iron-rich cells, revealing unexpected variation in their distribution and number--an observation that is inconsistent with a role in magnetic sensation. Ultrastructure analysis of these cells, which are not unique to the beak, showed that their subcellular architecture includes ferritin-like granules, siderosomes, haemosiderin and filopodia, characteristics of iron-rich macrophages. Our conclusion that these cells are macrophages and not magnetosensitive neurons is supported by immunohistological studies showing co-localization with the antigen-presenting molecule major histocompatibility complex class II. Our work necessitates a renewed search for the true magnetite-dependent magnetoreceptor in birds.     

Targeting of transmembrane and GPI-anchored forms of N-CAM to opposite domains of a polarized epithelial cell.

The calcium-independent neural cell adhesion molecule N-CAM is expressed transiently during development in many tissues, including epithelia. The three naturally occurring principal isoforms of N-CAM differ in the way in which they associate with the membrane and in their cytoplasmic domains. These isoforms are generated by developmentally regulated alternative splicing of a single gene: the large cytoplasmic domain (ld) form (relative molecular mass 180,000 (Mr 180K] is specific for post-mitotic neurons; the 120K small cytoplasmic domain (ssd) and 140K small surface domain (sd) forms also occur on other cell types. One function of the different isoforms could be to specify cellular localization; for example, glycosyl phosphatidyl inositol (GPI)-membrane anchoring acts as a targeting signal for expression on the apical surface of polarized epithelial cells. Neurons and epithelial cells may use similar mechanisms for polarizing their plasma membrane proteins. We have therefore investigated the targeting of GPI-anchored (ssd N-CAM, 120K) and transmembrane forms of N-CAM (sd N-CAM, 140K; ld N-CAM, 180K) by comparing the expression of each after transfection of the appropriate complementary DNAs into polarized epithelial cells. We find that isoforms with alternative modes of membrane association are targeted to different surfaces of polarized epithelial cells: ssd N-CAM is expressed on the apical surface, whereas sd and ld N-CAM are expressed on the basolateral surface. These results suggest that the different isoforms of N-CAM determine their own diverse cellular destinations. They also support the hypothesis that the GPI anchor acts as an apical targeting signal in epithelia.     

Systematic identification of genomic markers of drug sensitivity in cancer cells

Clinical responses to anticancer therapies are often restricted to a subset of patients. In some cases, mutated cancer genes are potent biomarkers for responses to targeted agents. Here, to uncover new biomarkers of sensitivity and resistance to cancer therapeutics, we screened a panel of several hundred cancer cell lines--which represent much of the tissue-type and genetic diversity of human cancers--with 130 drugs under clinical and preclinical investigation. In aggregate, we found that mutated cancer genes were associated with cellular response to most currently available cancer drugs. Classic oncogene addiction paradigms were modified by additional tissue-specific or expression biomarkers, and some frequently mutated genes were associated with sensitivity to a broad range of therapeutic agents. Unexpected relationships were revealed, including the marked sensitivity of Ewing's sarcoma cells harbouring the EWS (also known as EWSR1)-FLI1 gene translocation to poly(ADP-ribose) polymerase (PARP) inhibitors. By linking drug activity to the functional complexity of cancer genomes, systematic pharmacogenomic profiling in cancer cell lines provides a powerful biomarker discovery platform to guide rational cancer therapeutic strategies.     

A network that learns to recognize three-dimensional objects

The visual recognition of three-dimensional (3-D) objects on the basis of their shape poses at least two difficult problems. First, there is the problem of variable illumination, which can be addressed by working with relatively stable features such as intensity edges rather than the raw intensity images. Second, there is the problem of the initially unknown pose of the object relative to the viewer. In one approach to this problem, a hypothesis is first made about the viewpoint, then the appearance of a model object from such a viewpoint is computed and compared with the actual image. Such recognition schemes generally employ 3-D models of objects, but the automatic learning of 3-D models is itself a difficult problem. To address this problem in computational vision, we have developed a scheme, based on the theory of approximation of multivariate functions, that learns from a small set of perspective views a function mapping any viewpoint to a standard view. A network equivalent to this scheme will thus 'recognize' the object on which it was trained from any viewpoint.