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.     

An optimization framework of biological dynamical systems

Different biological dynamics are often described by different mathematical equations. On the other hand, some mathematical models describe many biological dynamics universally. Here, we focus on three biological dynamics: the Lotka-Volterra equation, the Hopfield neural networks, and the replicator equation. We describe these three dynamical models using a single optimization framework, which is constructed with employing the Riemannian geometry. Then, we show that the optimization structures of these dynamics are identical, and the differences among the three dynamics are only in the constraints of the optimization. From this perspective, we discuss the unified view for biological dynamics. We also discuss the plausible categorizations, the fundamental nature, and the efficient modeling of the biological dynamics, which arise from the optimization perspective of the dynamical systems.     

Thermodynamic, kinetic, and operational stabilities of yeast alcohol dehydrogenase in sugar and compatible osmolyte solutions

Thermodynamic, kinetic, and operational stabilities of yeast alcohol dehydrogenase (YADH) were measured and compared in aqueous solutions containing various sugars (sucrose, glucose, and ribose) and compatible osmolytes (betaine and sarcosine). In the measurement of operational stability, native YADH was entrapped and physically immobilized in an ultrafiltration hollow fiber tube to retain the native characteristics of the enzyme. All the additives tested increased thermodynamic stability and kinetic stability of YADH. The order of the magnitude of stabilization effect among additives was different between thermodynamic and kinetic stabilities. Compared to the thermodynamic and kinetic stabilities, the effects of additives were much different in operational stability. Sucrose, glucose, and betaine stabilized YADH substantially while ribose and sarcosine destabilized the enzyme. These results show that the thermodynamic and kinetic stabilities do not necessarily guarantee the operational stability of YADH. The coexistence of stabilizing solute was proved effective to increase the productivity of the bioreactor with immobilized YADH.     

Comparison of genetic diversity between narrowly endemic shrub Menziesia goyozanensis and its widespread congener M. pentandra (Ericaceae)

Menziesia goyozanensis, a Japanese kindof fool's huckleberry, is a shrub speciesendemic only to Mt. Goyo in northern Japan.This species is listed as `criticallyendangered' in the Red Data Book of wild plantsin Japan, and only a single population has yetbeen discovered. The allozyme diversity andRAPD variation of Menziesia pentandrawere eight- and threefold greater than those ofM. goyozanensis, respectively, althoughwe examined only five populations representinga part of the distribution of M.pentandra. Because the environment surroundingthe population of M. goyoznaensis seemsto be stable at present, it is not necessary toplan an urgent ecological conservation practicefor the species. However, considering that thehabitat of M. goyozanensis is very smalland large vegetative disturbances occasionallyoccur in cool temperate forests, in which thespecies dwells, ex situ conservation isessential.