State-space analysis of time-varying higher-order spike correlation for multiple neural spike train data

Precise spike coordination between the spiking activities of multiple neurons is suggested as an indication of coordinated network activity in active cell assemblies. Spike correlation analysis aims to identify such cooperative network activity by detecting excess spike synchrony in simultaneously recorded multiple neural spike sequences. Cooperative activity is expected to organize dynamically during behavior and cognition; therefore currently available analysis techniques must be extended to enable the estimation of multiple time-varying spike interactions between neurons simultaneously. In particular, new methods must take advantage of the simultaneous observations of multiple neurons by addressing their higher-order dependencies, which cannot be revealed by pairwise analyses alone. In this paper, we develop a method for estimating time-varying spike interactions by means of a state-space analysis. Discretized parallel spike sequences are modeled as multi-variate binary processes using a log-linear model that provides a well-defined measure of higher-order spike correlation in an information geometry framework. We construct a recursive Bayesian filter/smoother for the extraction of spike interaction parameters. This method can simultaneously estimate the dynamic pairwise spike interactions of multiple single neurons, thereby extending the Ising/spin-glass model analysis of multiple neural spike train data to a nonstationary analysis. Furthermore, the method can estimate dynamic higher-order spike interactions. To validate the inclusion of the higher-order terms in the model, we construct an approximation method to assess the goodness-of-fit to spike data. In addition, we formulate a test method for the presence of higher-order spike correlation even in nonstationary spike data, e.g., data from awake behaving animals. The utility of the proposed methods is tested using simulated spike data with known underlying correlation dynamics. Finally, we apply the methods to neural spike data simultaneously recorded from the motor cortex of an awake monkey and demonstrate that the higher-order spike correlation organizes dynamically in relation to a behavioral demand.     

Periostin is expressed in pericryptal fibroblasts and cancer-associated fibroblasts in the colon.

Periostin is a unique extracellular matrix protein, deposition of which is enhanced by mechanical stress and the tissue repair process. Its significance in normal and neoplastic colon has not been fully clarified yet. Using immunohistochemistry and immunoelectron microscopy with a highly specific monoclonal antibody, periostin deposition was observed in close proximity to pericryptal fibroblasts of colonic crypts. The pericryptal pattern of periostin deposition was decreased in adenoma and adenocarcinoma, preceding the decrease of the number of pericryptal fibroblasts. Periostin immunoreactivity appeared again at the invasive front of the carcinoma and increased along the appearance of cancer-associated fibroblasts. ISH showed periostin signals in cancer-associated fibroblasts but not in cancer cells. Ki-67-positive epithelial cells were significantly decreased in the colonic crypts of periostin-/- mice (approximately 0.6-fold) compared with periostin+/+ mice. In three-dimensional co-culture within type I collagen gel, both colony size and number of human colon cancer cell line HCT116 cells were significantly larger ( approximately 1.5-fold) when cultured with fibroblasts derived from periostin+/+ mice or periostin-transfected NIH3T3 cells than with those from periostin-/- mice or periostin-non-producing NIH3T3 cells, respectively. Periostin is secreted by pericryptal and cancer-associated fibroblasts in the colon, both of which support the growth of epithelial components.     

CHMetal(II) axial interaction in planar complexes (metal = Cu, Pd) and implications for possible environmental effects of alkyl groups at biological copper sites

Intramolecular M(II)H–C interactions (M(II)=Cu(II), Pd(II)) involving a side chain alkyl group of planar d⁸ and d⁹ metal complexes of the N-alkyl (R) derivatives of N,N-bis(2-pyridylmethyl)amine with an N₃Cl donor set were established by structural and spectroscopic methods. The methyl group from the branched alkyl group (R = 2,2-dimethylpropyl and 2-methylbutyl) axially interacts with the metal ion with the MC and MH distances of 3.056(3)–3.352(9) and 2.317(1)–2.606(1) Å, respectively, and the M–H–C angles of 122.4–162.3°. The Cu(II) complexes showing the interaction have a higher redox potential as compared with those without it, and the ¹H NMR signals of the interacting methyl group in Pd(II) complexes shifted downfield relative to the ligand signals. Dependence of the downshift values on the dielectric constants of the solvents used indicated that the M(II)H–C interaction is mainly electrostatic in nature and may be regarded as a weak hydrogen bond. Implications for possible environmental effects of the leucine alkyl group at the type 1 Cu site of fungal laccase are also discussed.     

Growth-promoting effects of lactoferrin on L. acidophilus and Bifidobacterium spp.

We investigated the effects of lactoferrin on the growth of L. acidophilus CH-2, Bifidobacterium breve ATCC 15700, B. longum ATCC 15707, B. infantis ATCC 15697, and B. bifidum ATCC 15696. The growth of L. acidophilus was stimulated by bovine holo-lactoferrin but not by apo-lactoferrin. With bifidobacteria, bovine lactoferrin stimulated growth of three strains: B. breve, B. infantis and B. bifidum under certain conditions. Both apoprotein and holoprotein had similar effects. However, B. longum growth was not affected by lactoferrin. Thus, the mechanism of stimulating growth of bifidobacteria may be different from that of L. acidophilus. By far-western blotting using biotinylated lactoferrin and horseradish peroxidase-conjugated streptavidin, lactoferrin-binding proteins were detected in the membrane protein fraction of L. acidophilus, B. bifidum, B. infantis and B. breve. The molecular weights of lactoferrin-binding proteins of L. acidophilus were estimated from SDS-polyacrylamide gel electrophoresis to be 27, 41 and 67 kDa, and those of the three bifidobacterial strains were estimated to be 67-69 kDa. However, no such lactoferrin-binding components were detected in the membrane fraction of B. longum. It is interesting that the appearance of lactoferrin-binding proteins in the membrane fraction of these species corresponds to their growth stimulation by lactoferrin.     

Lactoferrin-binding proteins in Bifidobacterium bifidum.

Lactoferrin is an iron-binding glycoprotein and its bacteriostatic and bactericidal effects on gram-positive and gram-negative bacteria are well known. On the other hand, it is known that certain kinds of lactic acid bacteria are resistant to its antibacterial effects. Moreover, it is reported that lactoferrin promotes the growth of bifidobacteria in in vitro and in vivo experiments. In our experiments, lactoferrin-binding protein was found both in the membrane and cytosolic fractions of Bifidobacterium bifidum Bb-11. The bifidobacteria were grown in anaerobic conditions with lactobacilli MRS broth containing cysteine, harvested by centrifugation, and processed by sonication. The lactoferrin-binding proteins on the PVDF-membrane transferred after SDS-PAGE were detected by far-Western (western-Western) method using biotinylated lactoferrin and streptavidin-labelled horse radish peroxidase. The molecular weights of the lactoferrin binding protein detected in the membrane fraction were estimated to be 69 kDa and those in cytosolic fractions were 20, 35, 50, and 66 kDa.