• Molecules and Cells
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• v.25 no.2
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• pp.272-278
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• 2008

The carbon-ion beam (CIB) generated by the heavy-ion medical accelerator in Chiba (HIMAC) was targeted to 7-day-old rice. Physiological parameters such as growth, and gene expression profiles were examined immediately after CIB irradiation. Dose-dependent growth suppression was seen three days post-irradiation (PI), and all the irradiated plants died by 15 days PI. Microarray (Agilent rice 22K) analysis of the plants immediately after irradiation (iai) revealed effects on gene expression at 270 Gy; 353 genes were up-regulated and 87 down-regulated. Exactly the same set of genes was affected at 90 Gy. Among the highly induced genes were genes involved in information storage and processing, cellular processes and signaling, and metabolism. RT-PCR analysis confirmed the microarray data.

• Korean Journal of Poultry Science
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• v.28 no.2
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• pp.143-153
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• 2001

Using bioinformatic tools for searching the massive genome databases, it is possible to Identify new genes in few minutes for initial discoveries based on evolutionary conservation, domain homology, and tissue expression patterns, followed by further verification and characterization using the bench-top works. The development of high-density two-dimensional arrays has allowed the analysis of the expression of thousands of genes simultaneously in the humans, mice, rats, yeast, and bacteria to elucidate the genes and pathways involved in physiological processes. In addition, rapid and automated protein identification is being achieved by searching protein and nucleotide sequence databases directly with data generated from mass spectrometry. Recently, analysis at the bio-chemical level such as biochemical screening and metabolic profiling (Biochemical genomics) has been introduced as an additional approach for categorical assignment of gene function. To make advantage of recent achievements in computational approaches for facilitated gene discoveries in the avian model, chicken expression sequence tags (ESTs) have been reported and deposited in the international databases. By searching EST databases, a chicken heparanase gene was identified and functionally confirmed by subsequent experiments. Using combination of sub-tractive hybridization assay and Genbank database searches, a chicken heme -binding protein family (cSOUL/HBP) was isolated in the retina and pineal gland of domestic chicken and verified by Northern blot analysis. Microarrays have identified several host genes whose expression levels are elevated following infection of chicken embryo fibroblasts (CEF) with Marek's disease virus (MDV). The ongoing process of chicken genome projects and new discoveries and breakthroughs in genomics and proteomics will no doubt reveal new and exciting information and advances in the avian research.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.12
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• pp.6475-6479
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• 2012

Background: Recent studies have demonstrated an association between insulin growth factor (IGF) and insulin growth factor binding protein-3 (IGFBP-III) serum levels and increased risk for various cancers. However, little information is available on clinical implications of the IGF system in Indian patients with cervical cancer. This study explored associations by analyzing their expression profiles in cervical cancer cases. Materials and Methods: Totals of 50 patients with advanced cervical cancer and 40 healthy controls were enrolled. Human papillomavirus (HPV) and cervical biopsy sample were obtained from all participating women. Circulatory levels were estimated by ELISA and the tissue expression was assessed using RT-PCR and Western blotting. Results: Levels of IGF-I and II showed significant increase whereas IGFBP-III showed significant decline in all patients as compared to controls. Spearman correlation analysis between IGFs and HPV status showed significant correlations. Conclusions: We demonstrated elevated circulating levels and tissue expression of IGF-I and IGF-II in advancer cancer cervix patients, as compared with controls, with a converse trend being apparent for IGFBP-III. In future, associations of the IGF system and clinical outcome of cervical cancer patients in post treatment samples might point to significance in disease mapping as a prognostic marker after validation with a larger patient series.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.11
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• pp.6813-6820
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• 2013

The present study was conducted to investigate the prognostic significance of co-expression patterna of HER-2, IL-6, TNF-a and TGF-${\beta}1$ in breast cancer, by correlating the number of markers with positive expression with clinicopathological characteristics indicative of tumor progression and overall survival. One hundred thirty consecutive patients with primary breast cancer were prospectively included and evaluated. Serum concentrations of the above markers were measured by ELISA. Median split was used to subdivide patients with marker positive or negative expression. The presence of ${\geq}3$ positive markers was independently associated with extended lymph node (>3) involvement (aOR, 11.94, p=0.001) and lymphovascular invasion (aOR, 12.04, p=0.018), increasing the prognostic significance of each marker considered separately. Additional prognostic information regarding survival was also provided; as the number of positive markers increased, a gradually reduction of survival time was observed. In addition, patients with 4 positive markers had significantly shorter survival (25 vs 39 months, p=0.006) and a more than 4 fold increased risk of death (aHR, 4.35, p=0.003) compared to patients with 3 positive markers. Our findings suggest that the coexpression pattern of these four markers could be used clinically as a useful marker for tumor extension and outcome of breast cancer.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.89-89
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• 2017

A gene encoding squalene synthase from grain amaranth was cloned and characterized. The full-length cDNA was 1805-bp long and contained a 1248-bp open reading frame encoding a protein of 416 amino acids with a molecular mass of 47.6 kDa. Southern blot analysis revealed that the A. cruentus genome contained a single copy of the gene. Comparison of the cDNA and genomic sequences indicated that the amaranth SQS gene had 12 introns and 13 exons. All of the exons contributed to the coding sequence. The predicted amino acid sequence of the SQS cDNA shared high homology with those of SQSs from several other plants. It contained conserved six domains that are believed to represent crucial regions of the active site. We conducted qRT-PCR analyses to examine the expression pattern of the SQS gene in seeds at different developmental stages and in several tissues. The amaranth SQS gene was low levels of SQS transcripts at the initial stage of seed development, but the levels increased rapidly at the mid-late developmental stages before declining at the late developmental stage. These findings showed that the amaranth SQS is a late-expressed gene that is rapidly expressed at the mid-late stage of seed development. In addition, we observed that the SQS mRNA levels in stems and roots increased rapidly during the four- to six-leaf stage of development. Therefore, our results showed that the expression levels of SQS in stem and root tissues are significantly higher than those in leaf tissues. In present study provides useful information about the molecular characterization of the SQS clone isolated from grain amaranth. Finally, a basic understanding of these characteristics will contribute to further studies on the amaranth SQS.

• Journal of Internet Computing and Services
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• v.13 no.5
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• pp.9-19
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• 2012

Virtual human used as HCI in digital contents expresses his various emotions across modalities like facial expression and body posture. However, few studies considered combinations of such nonverbal multimodal in emotion perception. Computational engine models have to consider how a combination of nonverbal modal like facial expression and body posture will be perceived by users to implement emotional virtual human, This paper proposes the impacts of nonverbal multimodal in design of emotion expressed virtual human. First, the relative impacts are analysed between different modals by exploring emotion recognition of modalities for virtual human. Then, experiment evaluates the contribution of the facial and postural congruent expressions to recognize basic emotion categories, as well as the valence and activation dimensions. Measurements are carried out to the impact of incongruent expressions of multimodal on the recognition of superposed emotions which are known to be frequent in everyday life. Experimental results show that the congruence of facial and postural expression of virtual human facilitates perception of emotion categories and categorical recognition is influenced by the facial expression modality, furthermore, postural modality are preferred to establish a judgement about level of activation dimension. These results will be used to implementation of animation engine system and behavior syncronization for emotion expressed virtual human.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.1
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• pp.83-86
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• 2015

Background: Diffuse large B-cell lymphoma (DLBCL) is the most common form of non-Hodgkins lymphoma (NHL), accounting for approximately 25% of NHL cases. The aim of this study was to evaluate the association between the BCL6 and MUM1 gene expression and patient prognosis and stage. Materials and Methods: After ethical approval, in a cross-sectional study, tissue samples of 80 patients with diffuse large B-cell lymphoma were analyzed for BCL6 and MUM1 gene expression. Immunohistochemical staining was performed with division into categories of 0-5%, 5-25%, 26-50%, 51-75% and more than 75%. Other clinical and histological information such as lymph node involvement, T-stage, B symptoms and patient outcome were also recorded. Data were analyzed with SPSS version 16 and a P-value less than 0.05 was considered significant. Results: The patient mean age was $46.9{\pm}10.5$ years ($47.6{\pm}10.7$ and $46.1{\pm}9.6$ for males and females, respectively). A significant association was seen between lymphoma stage and BCL6 (p=0.045) but not MUM1 expression (p=0.09). However, the latter was associated with mortality (p=0.006) as was also the BCL6 level (p=0.006). Conclusions: : Overexpression of MUM1 and BCL6 is associated with poor prognosis in patients with diffuse large B-cell lymphoma.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.7
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• pp.3321-3324
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• 2016

Background: Androgen receptors (ARs) are expressed in more than 70% of breast cancers (BCs) and have been implicated in BC pathogenesis. Some triple negative (TN)BC tumors express AR and may benefit from AR-targeted therapies. The aim of this study was to evaluate survival and the prevalence of AR expression and its correlation with other risk factors in triple negative BCs in women from Western Iran. Materials and Methods: In a retrospective study between 2009-2015, 41 patients with TNBC were referred to the Private Clinic of Oncology, Kermanshah city, Iran. ER, PR and AR-positive expression was defined as ${\geq}10%$ nuclear staining and also HER2 (2+), FISH was performed. Nuclear staining was considered representative for Ki67 and P53. The mean follow-up for the patients was 25 months. In this time, 5 patients died and 4 lost to follow-up were censored from survival analysis. Results: The mean age at diagnosis was 46.9 years (range, 24-71 years) and all patients were female. The OS rates for AR-positive and AR-negative patients were 90% and 85.1%, respectively, and the mean OS was 26.3 and 23.2 months. Therefore, there was no significant difference between the two groups (Hazard ratio: 0.580, 95% CI: 0.086-3.893, P=0.575). Conclusions: In TNBC patients, evaluation of AR status may provide additional information on prognosis and treatment. The results of studies showed that the prevalence AR expression may differ in the world and probably ethnicity can be an influencing factor.

• Fisheries and Aquatic Sciences
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• v.20 no.8
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• pp.17.1-17.8
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• 2017

Somatostatin (SS) and growth hormone-releasing hormone (GHRH) are primary factors regulating growth hormone (GH) secretion in the pituitary. To date, it remains unknown how this rhythm is controlled endogenously, although there must be coordination of circadian manners. Melatonin was the main regulator in biological rhythms, and its secretion has fluctuation by photic information. But relationship between melatonin and growth-related genes (ghrh and ss) is unclear. We investigated circadian rhythms of melatonin secretion, ghrh and ss expressions, and correlation between melatonin with growth-related genes in tiger puffer Takifugu rubripes. The melatonin secretion showed nocturnal rhythms under light and dark (LD) conditions. In constant light (LL) condition, melatonin secretion has similar patterns with LD conditions. ss1 mRNA was high during scotophase under LD conditions. But ss1 rhythms disappeared in LL conditions. Ghrh appeared opposite expression compared with melatonin levels or ss1 expression under LD and LL. In the results of the melatonin injection, ghrh and ss1 showed no significant expression compared with control groups. These results suggested that melatonin and growth-related genes have daily or circadian rhythms in the tiger puffer. Further, we need to know mechanisms of each ss and ghrh gene regulation.

• Journal of KIISE
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• v.42 no.11
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• pp.1459-1466
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• 2015

Lockscreen is one of the most frequently encountered interfaces by smartphone users. Although users perform unlocking actions every day, there are no benefits in using lockscreens apart from security and authentication purposes. In this paper, we replace the traditional lockscreen with an application that analyzes facial expressions in order to collect facial expression data and provide real-time feedback to users. To evaluate this concept, we have implemented Quantified Lockscreen application, supporting the following contributions of this paper: 1) an unobtrusive interface for collecting facial expression data and evaluating emotional patterns, 2) an improvement in accuracy of facial expression detection through a personalized machine learning process, and 3) an enhancement of the validity of emotion data through bidirectional, multi-channel and multi-input methodology.