Autophagy regulates chemoresistance of gastric cancer stem cells via the Notch signaling pathway.

OBJECTIVE: Gastric cancer is the most common gastrointestinal malignancy and the leading cause of cancer-related deaths in East Asia. Increasing evidence has revealed that autophagy is closely associated with tumor initiation and progression. The present work aimed to investigate the role of autophagy in adjuvant chemotherapy for gastric cancer. MATERIALS AND METHODS: Gastric cancer stem cells (CSCs) were isolated from gastric cancer cell lines using the cell surface markers CD44 and CD54 and cultured in a three-dimensional cell culture system. Western blotting was used to detect their protein expression levels in gastric CSCs. In addition, the cells were treated with inhibitors to investigate the underlying mechanisms of autophagy. RESULTS: After isolation of gastric CSCs expressing CD44 and CD54, Western blot analysis showed that the levels of the autophagic marker LC3II were markedly enhanced in CD44+CD54+ gastric CSCs. Moreover, the ratio of LC3II/LC3I protein levels was higher in CD44+CD54+ gastric CSCs than in non-CSCs. By contrast, both a chemotherapeutic agent (5-fluorouracil) and autophagy inhibitor (chloroquine) exhibited an inhibitory effect on the cell viability of gastric CSCs, and their combination further enhanced such inhibitory effects. Mechanistically, the addition of Notch inhibitor decreased the cell viability of gastric CSCs treated with 5-fluorouracil and chloroquine. In addition, 5-fluorouracil and chloroquine both increased the expression of Notch1 in gastric CSCs. CONCLUSIONS: These findings show that autophagy regulated drug sensitivity of gastric cancer cells through the Notch signaling pathway.

Exercise training attenuates sympathetic activation and oxidative stress in diet-induced obesity.

It is known that excessive sympathetic activity and oxidative stress are enhanced in obesity. This study aimed to clarify whether exercise training (ET) attenuates sympathetic activation and oxidative stress in obesity. The obesity was induced by high-fat diet (HFD) for 12 weeks. Male Sprague-Dawley rats were assigned to four groups: regular diet (RD) plus sedentary (RD-S), RD plus ET (RD-ET), HFD plus sedentary (HFD-S), and HFD plus ET (HFD-ET). The rats in RD-ET and HFD-ET groups were trained on a motorized treadmill for 60 min/day, five days/week for 8 weeks. The sympathetic activity was evaluated by the plasma norepinephrine (NE) level. The superoxide anion, malondialdehyde and F2-isoprostanes levels in serum and muscles were measured to evaluate oxidative stress. The ET prevented the increases in the body weight, arterial pressure and white adipose tissue mass in HFD rats. The NE level in plasma and oxidative stress related parameters got lower in HFD-ET group compared with HFD-S group. We have found decreased mRNA and protein levels of toll-like receptor (TLR)-2 and TLR-4 by ET in HFD rats. These findings suggest that ET may be effective for attenuating sympathetic activation and oxidative stress in diet-induced obesity.

Different Expression of p16INK4a and p14ARF in cervical and lung cancers.

AIM: This study aimed to assess clinical significance of expression of p16INK4a and p14ARF proteins in cervical and lung cancers. MATERIALS AND METHODS: Expression of these proteins was examined in 50 cervical cancer specimens (42 hr-HPV-associated cervical cancer and 8 non-hr-HPV-associated cervical cancer) and 127 lung cancer specimens (34 squamous cell carcinomas, 33 adenocarcinomas, 36 bronchioloalveolar carcinomas, and 24 small cell lung cancers) by immunohistochemistry. RESULTS: Overexpression of both p16INK4a and p14ARF was found in 100% cervical cancer specimens and in, respectively, 61.42% and 30.79% of lung cancer specimens. Thus, expression ratio of p16INK4a and p14ARF was significantly higher in cervical cancer than in lung cancer (p < 0.01). Both proteins were unexpressed in 38 lung cancer specimens (29.92%), and there was no correlation between the expressions of these proteins. CONCLUSIONS: Different patterns of p16INK4a and p14ARF expression in cervical and lung cancer patients suggest different involvement of these proteins in the development of either cancer type. We propose p16INK4a and p14ARF as biomarkers in clinical assessment for cervical cancer.

A pyrrole derivative from Paeonia suffruticosa.

A new pyrrole derivative, 2-methyl-5-(2'-O-alpha-D-glucopyranosyl-1'-oxygen)-propylpyrrole, named paesuffrioside (1), was isolated from the water-soluble extract of the root cortex of Paeonia suffruticosa, together with 11 known compounds. Their structures were elucidated by spectroscopic analysis and chemical transformation. Compounds 2 and 3 were isolated from this plant for the first time.

Using pseudo amino acid composition to predict protein subcellular location: approached with amino acid composition distribution.

In the Post Genome Age, there is an urgent need to develop the reliable and effective computational methods to predict the subcellular localization for the explosion of newly found proteins. Here, a novel method of pseudo amino acid (PseAA) composition, the so-called "amino acid composition distribution" (AACD), is introduced. First, a protein sequence is divided equally into multiple segments. Then, amino acid composition of each segment is calculated in series. After that, each protein sequence can be represented by a feature vector. Finally, the feature vectors of all sequences thus obtained are further input into the multi-class support vector machines to predict the subcellular localization. The results show that AACD is quite effective in representing protein sequences for the purpose of predicting protein subcellular localization.

Estimating residue evolutionary conservation by introducing von Neumann entropy and a novel gap-treating approach.

Evolutionary conservation derived from a multiple sequence alignment is a powerful indicator of the functional significance of a residue, and it can help to predict active sites, ligand-binding sites, and protein interaction interfaces. The results of the existing algorithms in identifying the residue's conservation strongly depend on the sequence alignment, making the results highly variable. Here, by introducing the amino acid similarity matrix, we propose a novel gap-treating approach by combining the evolutionary information and von Neumann entropies to compute the residue conservation scores. It is indicated through a series of tested results that the new approach is quite encouraging and promising and may become a useful tool in complementing the existing methods.

Prediction of protein subcellular localization by support vector machines using multi-scale energy and pseudo amino acid composition.

As more and more genomes have been discovered in recent years, there is an urgent need to develop a reliable method to predict the subcellular localization for the explosion of newly found proteins. However, many well-known prediction methods based on amino acid composition have problems utilizing the sequence-order information. Here, based on the concept of Chou's pseudo amino acid composition (PseAA), a new feature extraction method, the multi-scale energy (MSE) approach, is introduced to incorporate the sequence-order information. First, a protein sequence was mapped to a digital signal using the amino acid index. Then, by wavelet transform, the mapped signal was broken down into several scales in which the energy factors were calculated and further formed into an MSE feature vector. Following this, combining this MSE feature vector with amino acid composition (AA), we constructed a series of MSEPseAA feature vectors to represent the protein subcellular localization sequences. Finally, according to a new kind of normalization approach, the MSEPseAA feature vectors were normalized to form the improved MSEPseAA vectors, named as IEPseAA. Using the technique of IEPseAA, C-support vector machine (C-SVM) and three multi-class SVMs strategies, quite promising results were obtained, indicating that MSE is quite effective in reflecting the sequence-order effects and might become a useful tool for predicting the other attributes of proteins as well.

Cyclooxygenase-2 expression in squamous cell carcinoma of the esophagus.

Increased cyclooxygenase-2 expression has been reported to be a poor prognostic indicator in a number of cancers. In this study we investigated the relationship between COX-2 expression in squamous cell carcinoma of the esophagus and tumor characteristics and patient survival. The study group consisted of 90 men and 48 women who underwent esophagectomy for squamous cell carcinoma of the esophagus between October 1984 and May 1985. COX-2 expression was measured by immunohistochemistry in 138 primary cancers, 23 metastatic lymph nodes and 21 normal esophageal stumps. The relationship between the extent of staining for COX-2 and clinicopathological features and survival was determined. The extent of staining for COX-2 in both primary and metastatic cancers was higher than in normal squamous epithelia (P = 0.002 and P < 0.0001 respectively), and the grade of staining in the primary tumor correlated positively with the finding of lymph node metastases (P = 0.03). The 5-year survival rate in patients with less than 10% COX-2 positive cells was 47.5% compared to 23.2% in patients with more than 10% COX-2 positive cells (P = 0.0036). The relationship between survival and COX-2 staining was not due to COX-2 being a surrogate marker for TNM stage. Our results show that the expression of COX-2 is elevated in squamous cell carcinoma of the esophagus compared to normal epithelium and correlates with lymph node metastases. Survival was longer in those patients whose tumors expressed lower levels of COX-2.

Prediction of protein homo-oligomer types by pseudo amino acid composition: Approached with an improved feature extraction and Naive Bayes Feature Fusion.

The interaction of non-covalently bound monomeric protein subunits forms oligomers. The oligomeric proteins are superior to the monomers within the scope of functional evolution of biomacromolecules. Such complexes are involved in various biological processes, and play an important role. It is highly desirable to predict oligomer types automatically from their sequence. Here, based on the concept of pseudo amino acid composition, an improved feature extraction method of weighted auto-correlation function of amino acid residue index and Naive Bayes multi-feature fusion algorithm is proposed and applied to predict protein homo-oligomer types. We used the support vector machine (SVM) as base classifiers, in order to obtain better results. For example, the total accuracies of A, B, C, D and E sets based on this improved feature extraction method are 77.63, 77.16, 76.46, 76.70 and 75.06% respectively in the jackknife test, which are 6.39, 5.92, 5.22, 5.46 and 3.82% higher than that of G set based on conventional amino acid composition method with the same SVM. Comparing with Chou's feature extraction method of incorporating quasi-sequence-order effect, our method can increase the total accuracy at a level of 3.51 to 1.01%. The total accuracy improves from 79.66 to 80.83% by using the Naive Bayes Feature Fusion algorithm. These results show: 1) The improved feature extraction method is effective and feasible, and the feature vectors based on this method may contain more protein quaternary structure information and appear to capture essential information about the composition and hydrophobicity of residues in the surface patches that buried in the interfaces of associated subunits; 2) Naive Bayes Feature Fusion algorithm and SVM can be referred as a powerful computational tool for predicting protein homo-oligomer types.

Ruthenium-catalyzed cyclic carbonylation of allenyl alcohols. Selective synthesis of gamma- and delta-lactones

[reaction: see text] Ruthenium complex-catalyzed carbonylation of allenyl alcohols quantitatively gave cyclic carbonyl compounds, gamma- and delta-lactones, in which the hydroxy group of allenyl alcohols participated in the cyclization. A wide variety of allenyl alcohols, such as mono-, di-, and trisubstituted alcohols, can be used in this reaction to produce 3- and 4-substituted gamma-lactones. Similarly, the cyclic carbonylation of 3,4-pentadien-1-ol 10a and 2-methyl-4,5-hexadien-2-ol 11a gave delta-lactones, 5,6-dihydro-3-methyl-2H-pyran-2-one 10b, and 5,6-dihydro-6,6-dimethyl-3-methyl-2H-pyran. 2-one 11b, respectively, in a quantitative yield.

Honeybee navigation: odometry with monocular input.

Recent studies have revealed that navigating honeybees, Apis mellifera, estimate the distance to a food source by integrating over time the image motion that they experience en route. Here we examine the ability of honeybees to gauge distance travelled when visual input is available primarily to one eye. Bees were trained to fly into a tunnel, lined with textured patterns, to collect a reward at a feeder placed at a certain distance. Their ability to estimate distance flown was then assessed by testing them in a fresh tunnel without the feeder. The results show that (1) bees can estimate distance flown under monocular conditions, performing nearly as accurately as when information is available to both eyes; (2) bees can learn to fly two different distances, where each distance is measured in terms of the image motion experienced by a different eye; and (3) bees that have acquired information on the distance to a food source using one eye can measure out the same distance when they are required to use the other (naive) eye. The need to measure distance using signals from a single eye becomes important when a bee flies to a food source along the face of a cliff or the edge of a forest. Furthermore, under such conditions, it is important to be able to deal with odometric signals that are transposed interocularly when the bee returns home from the food source. This is because, although distances are learnt primarily on the way to a food source, foraging bees monitor distance flown on the homebound as well as the outbound routes. Copyright 1998 The Association for the Study of Animal Behaviour.