Effects of starch content of calf starter on rumen properties and blood concentrations of metabolites and hormones in dairy calves under a high plane of milk feeding.

The objective of this study was to investigate the effects of calf starters with different starch content on rumen and blood properties in calves fed under a high plane of nutrition program. Twenty-seven Holstein calves (14 female, 13 male) were assigned to one of three starter treatment groups in a randomized block design: high-starch (41.8%) (n = 9), H; medium-starch (31.

Effects of starch content of calf starter on feed intake, growth performance, and fecal properties in dairy calves under a high plane of milk replacer feeding.

The objective of this study was to investigate the effects of different starch contents in calf starter on the growth, feed intake, and fecal characteristics in dairy calves fed under a high plane of nutrition. Twenty-seven Holstein calves were assigned equally to one of three calf starter treatment groups in a randomized block design: high (H) starch (41.8%); medium (M) starch (31.

Enhanced internalization of ErbB2 in SK-BR-3 cells with multivalent forms of an artificial ligand.

Targeting and down-regulation of ErbB2, a member of EGF receptor family, is regarded as one of the key aspect for cancer treatment because it is often overexpressed in breast and ovarian cancer cells. Although natural ligands for ErbB2 have not been found, unlike other ErbB receptors, EC-1, a 20-amino acid circular peptide, has been shown to bind to ErbB2 as an artificial ligand. Previously we showed EC-1 peptide did not induce the internalization of ErbB2 in SK-BR-3 cells.

Spherical self-organizing map as a helpful tool to identify category-specific cell surface markers.

We analyzed gene expression profiles of five tumor cell lines (NB2a, NB41A3, C1300N18, BC3H1, and Neuro2a) derived from a category of nervous system using our originally developed cell surface marker DNA microarray in order to search for tumor-specific cell surface markers common to these cells. To visualize the expression patterns and to extract candidate genes of interest based on the expression profiles of several cell lines, we employed the clustering procedure of spherical self-organizing-map. As the result, three candidates of tumor-specific cell surface markers were picked up when the expression profiles were compared with that from normal brain tissue.