• Asian-Australasian Journal of Animal Sciences
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• v.30 no.1
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• pp.94-99
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• 2017

Objective: The aim of this study was to investigate the expression of heat shock protein (HSP) 90, 70, and 60 in chicken muscles and their possible relationship with quality traits of meat. Methods: The breast muscles from one hundred broiler chickens were analyzed for drip loss and other quality parameters, and the levels of heat shock protein (HSP) 90, 70, and 60 were determined by immunoblots. Results: Based on the data, chicken breast muscles were segregated into low (drip loss${\leq}5%$), intermediate (5%${\geq}9.5$) drip loss groups. The expression of HSP90 and HSP60 were significantly lower in the high drip loss group compared to that in the low and intermediate drip loss group (p<0.05), while HSP70 was equivalent in abundance in all groups (p>0.05). Conclusion: Results of this study suggests that higher levels of HSP90 and HSP60 may be advantageous for maintenance of cell function and reduction of water loss, and they could act as potential indicator for better water holding capacity of meat.

• Journal of Microbiology and Biotechnology
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• v.31 no.10
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• pp.1343-1349
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• 2021

Cockroaches live in places where various pathogens exist and thus are more likely to use antimicrobial compounds to defend against pathogen intrusions. We previously performed an in silico analysis of the Periplaneta americana transcriptome and detected periplanetasin-5 using an in silico antimicrobial peptide prediction method. In this study, we investigated whether periplanetasin-5 has anticancer activity against the human leukemia cell line K562. Cell growth and survival of K562 cells treated with periplanetasin-5 were decreased in a dose-dependent manner. By using flow cytometric analysis, acridine orange/ethidium bromide (AO/EB) staining and DNA fragmentation, we found that periplanetasin-5 induced apoptotic and necrotic cell death in leukemia cells. In addition, these events were associated with increased levels of the pro-apoptotic proteins Fas and cytochrome c and reduced levels of the anti-apoptotic protein Bcl-2. Periplanetasin-5 induces the cleavage of pro-caspase-9, pro-caspase-8, pro-caspase-3, and poly (ADP-ribose) polymerase (PARP). The above data suggest that periplanetasin-5 induces apoptosis via both the intrinsic and extrinsic pathways. Moreover, caspase-related apoptosis was further confirmed by using the caspase inhibitor carbobenzoxy-valyl-alanyl-aspartyl-[O-methyl]-fluoromethylketone (Z-VAD-FMK), which reversed the periplanetasin-5-induced reduction in cell viability. In conclusion, periplanetasin-5 caused apoptosis in leukemia cells, suggesting its potential utility as an anticancer therapeutic agent.

• Proceedings of the Korean Society of Sericultural Science Conference
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• 2004.04a
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• pp.67-67
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• 2004

• Proceedings of the Korean Society of Life Science Conference
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• 2005.04a
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• pp.219-219
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• 2005

• Proceedings of the Korean Society of Life Science Conference
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• 2005.04a
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• pp.220-220
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• 2005

• Proceedings of the Korean Society of Life Science Conference
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• 2005.04a
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• pp.221-221
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• 2005

• Proceedings of the Korean Society of Life Science Conference
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• 2005.04a
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• pp.218-218
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• 2005

• Korean Journal of Agricultural Science
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• v.47 no.2
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• pp.205-217
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• 2020

In this study, a deep learning-based tillage boundary detection method for autonomous tillage by a tractor was developed, which consisted of image cropping, object classification, area segmentation, and boundary detection methods. Full HD (1920 × 1080) images were obtained using a RGB camera installed on the hood of a tractor and were cropped to 112 × 112 size images to generate a dataset for training the classification model. The classification model was constructed based on convolutional neural networks, and the path boundary was detected using a probability map, which was generated by the integration of softmax outputs. The results show that the F1-score of the classification was approximately 0.91, and it had a similar performance as the deep learning-based classification task in the agriculture field. The path boundary was determined with edge detection and the Hough transform, and it was compared to the actual path boundary. The average lateral error was approximately 11.4 cm, and the average angle error was approximately 8.9°. The proposed technique can perform as well as other approaches; however, it only needs low cost memory to execute the process unlike other deep learning-based approaches. It is possible that an autonomous farm robot can be easily developed with this proposed technique using a simple hardware configuration.

• International Journal of Industrial Entomology and Biomaterials
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• v.41 no.2
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• pp.19-27
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• 2020

The aim of this study was to elucidate the difference in the amount of phytochemicals and anti-oxidant activities of the freeze-dried 5th instar 3rd day silkworm powder (FDSP) and 7 HongJams (HJs). Three primary colors of light of 8 silkworm powders revealed why each sample had unique color. The visual and absorption spectrum analyses of 80% methanol (MeOH) extracts of 8 silkworm powders revealed that white jade (WJ)-FDSP extracts showing strong forest-green colors had different absorption spectrum from 7 HJs. Among 7 HJs, the absorption spectrum of light green silkworm (LGS)-HJ extract was different from those of other HJ extracts. The amounts of total flavonoids and phenolic compounds of WJ-FDSP were 423.0±9.21% and 252.3±12.86%, respectively, more than those of WJ-HJ. Among 7 HJs, the amounts of total flavonoids and phenolic compounds in LGS-and red silkorm (RS)-HJ extracts were significantly more than those of WJ-HJ extract. Consistent with the amounts of phytochemicals, radical scavenging activity and reducing ability of WJ-FDSP extract were significantly higher that other HJ extracts. Among 7 silkworm powder extracts, LGS-HJ extract showed significantly higher radical scavenging activity and reducing ability than those of WJ-HJ extract. But, RS-HJ extract only showed significantly higher radical scavenging activity than that of WJ-HJ extract. Taken together, the amounts of phytochemicals in 8 silkworm powders contributed on their colors and anti-oxidant activities.

• Animal Bioscience
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• v.35 no.7
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• pp.975-988
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• 2022

Objective: In this study, we aimed to identify long non-coding RNAs (lncRNAs) that play important roles in starvation stress, analyze their functions, and discover potential molecular targets to alleviate starvation stress to provide a theoretical reference for subsequent in-depth research. Methods: We generated a piglet starvation stress animal model. Nine Yorkshire weaned piglets were randomly divided into a long-term starvation stress group (starved for 72 h), short-term starvation stress group (starved for 48 h), and the control group. LncRNA libraries were constructed using high-throughput sequencing of piglet ileums. Results: We obtained 11,792 lncRNAs, among which, 2,500 lncRNAs were novel. In total, 509 differentially expressed (DE)lncRNAs were identified in this study. Target genes of DElncRNAs were predicted via cis and trans interactions, and functional and pathway analyses were performed. Gene ontology functions and Kyoto encyclopedia of genes and genomes analysis revealed that lncRNA-targeted genes mainly participated in metabolic pathways, cellular processes, immune system processes, digestive systems, and transport activities. To reveal the mechanism underlying starvation stress, the interaction network between lncRNAs and their targets was constructed based on 26 DElncRNAs and 72 DEmRNAs. We performed an interaction network analysis of 121 DElncRNA-DEmRNA pairs with a Pearson correlation coefficient greater than 0.99. Conclusion: We found that MSTRG.19894.13, MSTRG.16726.3, and MSTRG.12176.1 might play important roles in starvation stress. This study not only generated a library of enriched lncRNAs in piglets, but its outcomes also provide a strong foundation to screen key lncRNAs involved in starvation stress and a reference for subsequent in-depth research.