• Title/Summary/Keyword: multi-cells

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Outdoor Performance Evaluation of Multi-Crystalline Silicon Photovoltaic Module (다결정 실리콘 태양광 모듈의 옥외 성능 평가)

  • Lee, Yuri;Kim, Woo Kyoung;Jung, Jae Hak
    • Current Photovoltaic Research
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    • v.7 no.3
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    • pp.71-75
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    • 2019
  • Solar energy is one of the renewable energy sources. It can respond to expanding energy demand. A solar cell module is designed to have a durability that can be developed over a long period of 25 years to be installed outdoors and perform like a stable power supply. We need Standard Test Condition (STC)-based power output data before and after testing to measure the power output of existing modules. The modules are shown to reduce power output by comparing data before and after outdoor experiments regardless of whether they are indoor or outdoor. It is easy to compare the power output quantities through the module simulator in the indoor. However, it takes a lot of testing time and costs to compare the power output on outdoor in the case of a high number of modules and distance from the module simulator. It can save time and costs if we can check the power output using the data in outdoor. We have used the long-term outdoor test to find the elements out that corresponds to the reductions in power output quantities. We have conducted research that matched the actual and the tests.

Development of a Novel Cell Surface Attachment System to Display Multi-Protein Complex Using the Cohesin-Dockerin Binding Pair

  • Ko, Hyeok-Jin;Song, Heesang;Choi, In-Geol
    • Journal of Microbiology and Biotechnology
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    • v.31 no.8
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    • pp.1183-1189
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    • 2021
  • Autodisplay of a multimeric protein complex on a cell surface is limited by intrinsic factors such as the types and orientations of anchor modules. Moreover, improper folding of proteins to be displayed often hinders functional cell surface display. While overcoming these drawbacks, we ultimately extended the applicability of the autodisplay platform to the display of a protein complex. We designed and constructed a cell surface attachment (CSA) system that uses a non-covalent protein-protein interaction. We employed the high-affinity interaction mediated by an orthogonal cohesin-dockerin (Coh-Doc) pair from Archaeoglobus fulgidus to build the CSA system. Then, we validated the orthogonal Coh-Doc binding by attaching a monomeric red fluorescent protein to the cell surface. In addition, we evaluated the functional anchoring of proteins fused with the Doc module to the autodisplayed Coh module on the surface of Escherichia coli. The designed CSA system was applied to create a functional attachment of dimeric α-neoagarobiose hydrolase to the surface of E. coli cells.

Evaluation of grout penetration in single rock fracture using electrical resistivity

  • Lee, Hangbok;Oh, Tae-Min;Lee, Jong-Won
    • Geomechanics and Engineering
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    • v.24 no.1
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    • pp.1-14
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    • 2021
  • In this study, a new approach using electrical resistivity measurement was proposed to detect grout penetration and to evaluate the grouting performance for such as waterproof efficiency in single rock fracture. For this purpose, an electrical resistivity monitoring system was designed to collect multi-channel data in real time. This was applied to a system for grout injection/penetration using a transparent fracture replica with various aperture sizes and water-cement mix ratio. The electrical resistivity was measured under various grout penetration conditions in real time, which results were directly compared to the visual observation images of grout penetration/distribution. Moreover, the grouting success status after the curing process was evaluated by measuring the electrical resistivity in relation to changes in frequency in fracture cells where grout injection and penetration were completed. Consequently, it was determined that the electrical resistivity monitoring system could be applied effectively to the detection of successful penetration of grouting into a target area and to actual field evaluation of the grouting performance and long-term stability of underground rock structures.

Human umbilical cord mesenchymal stem cell-derived mitochondria (PN-101) attenuate LPS-induced inflammatory responses by inhibiting NFκB signaling pathway

  • Yu, Shin-Hye;Kim, Soomin;Kim, Yujin;Lee, Seo-Eun;Park, Jong Hyeok;Cho, Gayoung;Ha, Jong-Cheon;Jung, Hahnsun;Lim, Sang-Min;Han, Kyuboem;Lee, Hong Kyu;Kang, Young Cheol;Kim, Chun-Hyung
    • BMB Reports
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    • v.55 no.3
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    • pp.136-141
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    • 2022
  • Inflammation is one of the body's natural responses to injury and illness as part of the healing process. However, persistent inflammation can lead to chronic inflammatory diseases and multi-organ failure. Altered mitochondrial function has been implicated in several acute and chronic inflammatory diseases by inducing an abnormal inflammatory response. Therefore, treating inflammatory diseases by recovering mitochondrial function may be a potential therapeutic approach. Recently, mitochondrial transplantation has been proven to be beneficial in hyperinflammatory animal models. However, it is unclear how mitochondrial transplantation attenuates inflammatory responses induced by external stimuli. Here, we isolated mitochondria from umbilical cord-derived mesenchymal stem cells, referred as to PN-101. We found that PN-101 could significantly reduce LPS-induced mortality in mice. In addition, in phorbol 12-myristate 13-acetate (PMA)-treated THP-1 macrophages, PN-101 attenuated LPS-induced increase production of pro-inflammatory cytokines. Furthermore, the anti-inflammatory effect of PN-101 was mediated by blockade of phosphorylation, nuclear translocation, and trans-activity of NFκB. Taken together, our results demonstrate that PN-101 has therapeutic potential to attenuate pathological inflammatory responses.

Hybrid Learning-Based Cell Morphology Profiling Framework for Classifying Cancer Heterogeneity (암의 이질성 분류를 위한 하이브리드 학습 기반 세포 형태 프로파일링 기법)

  • Min, Chanhong;Jeong, Hyuntae;Yang, Sejung;Shin, Jennifer Hyunjong
    • Journal of Biomedical Engineering Research
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    • v.42 no.5
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    • pp.232-240
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    • 2021
  • Heterogeneity in cancer is the major obstacle for precision medicine and has become a critical issue in the field of a cancer diagnosis. Many attempts were made to disentangle the complexity by molecular classification. However, multi-dimensional information from dynamic responses of cancer poses fundamental limitations on biomolecular marker-based conventional approaches. Cell morphology, which reflects the physiological state of the cell, can be used to track the temporal behavior of cancer cells conveniently. Here, we first present a hybrid learning-based platform that extracts cell morphology in a time-dependent manner using a deep convolutional neural network to incorporate multivariate data. Feature selection from more than 200 morphological features is conducted, which filters out less significant variables to enhance interpretation. Our platform then performs unsupervised clustering to unveil dynamic behavior patterns hidden from a high-dimensional dataset. As a result, we visualize morphology state-space by two-dimensional embedding as well as representative morphology clusters and trajectories. This cell morphology profiling strategy by hybrid learning enables simplification of the heterogeneous population of cancer.

The Multi-Faceted Consequences of NRF2 Activation throughout Carcinogenesis

  • Christopher J. Occhiuto;Jessica A. Moerland;Ana S. Leal;Kathleen A. Gallo;Karen T. Liby
    • Molecules and Cells
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    • v.46 no.3
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    • pp.176-186
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    • 2023
  • The oxidative balance of a cell is maintained by the Kelch-like ECH-associated protein 1 (KEAP1)/nuclear factor erythroid 2-related factor 2 (NRF2) pathway. This cytoprotective pathway detoxifies reactive oxygen species and xenobiotics. The role of the KEAP1/NRF2 pathway as pro-tumorigenic or anti-tumorigenic throughout stages of carcinogenesis (including initiation, promotion, progression, and metastasis) is complex. This mini review focuses on key studies describing how the KEAP1/NRF2 pathway affects cancer at different phases. The data compiled suggest that the roles of KEAP1/NRF2 in cancer are highly dependent on context; specifically, the model used (carcinogen-induced vs genetic), the tumor type, and the stage of cancer. Moreover, emerging data suggests that KEAP1/NRF2 is also important for regulating the tumor microenvironment and how its effects are amplified either by epigenetics or in response to co-occurring mutations. Further elucidation of the complexity of this pathway is needed in order to develop novel pharmacological tools and drugs to improve patient outcomes.

Phosphorylation of rpS3 by Lyn increases translation of Multi-Drug Resistance (MDR1) gene

  • Woo Sung Ahn;Hag Dong Kim;Tae Sung Kim;Myoung Jin Kwak;Yong Jun Park;Joon Kim
    • BMB Reports
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    • v.56 no.5
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    • pp.302-307
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    • 2023
  • Lyn, a tyrosine kinase that is activated by double-stranded DNA-damaging agents, is involved in various signaling pathways, such as proliferation, apoptosis, and DNA repair. Ribosomal protein S3 (RpS3) is involved in protein biosynthesis as a component of the ribosome complex and possesses endonuclease activity to repair damaged DNA. Herein, we demonstrated that rpS3 and Lyn interact with each other, and the phosphorylation of rpS3 by Lyn, causing ribosome heterogeneity, upregulates the translation of p-glycoprotein, which is a gene product of multidrug resistance gene 1. In addition, we found that two different regions of the rpS3 protein are associated with the SH1 and SH3 domains of Lyn. An in vitro immunocomplex kinase assay indicated that the rpS3 protein acts as a substrate for Lyn, which phosphorylates the Y167 residue of rpS3. Furthermore, by adding various kinase inhibitors, we confirmed that the phosphorylation status of rpS3 was regulated by both Lyn and doxorubicin, and the phosphorylation of rpS3 by Lyn increased drug resistance in cells by upregulating p-glycoprotein translation.

Discovery of 14-3-3 zeta as a potential biomarker for cardiac hypertrophy

  • Joyeta Mahmud;Hien Thi My Ong;Eda Ates;Hong Seog Seo;Min-Jung Kang
    • BMB Reports
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    • v.56 no.6
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    • pp.341-346
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    • 2023
  • Acute myocardial infarction (AMI) is a multifaceted syndrome influenced by the functions of various extrinsic and intrinsic pathways and pathological processes, which can be detected in circulation using biomarkers. In this study, we investigated the secretome protein profile of induced-hypertrophy cardiomyocytes to identify next-generation biomarkers for AMI diagnosis and management. Hypertrophy was successfully induced in immortalized human cardiomyocytes (T0445) by 200 nM ET-1 and 1 μM Ang II. The protein profiles of hypertrophied cardiomyocyte secretomes were analyzed by nano-liquid chromatography with tandem mass spectrometry and differentially expressed proteins that have been identified by Ingenuity Pathway Analysis. The levels of 32 proteins increased significantly (>1.4 fold), whereas 17 proteins (<0.5 fold) showed a rapid decrease in expression. Proteomic analysis showed significant upregulation of six 14-3-3 protein isoforms in hypertrophied cardiomyocytes compared to those in control cells. Multi-reaction monitoring results of human plasma samples showed that 14-3-3 protein-zeta levels were significantly elevated in patients with AMI compared to those of healthy controls. These findings elucidated the role of 14-3-3 protein-zeta in cardiac hypertrophy and cardiovascular disorders and demonstrated its potential as a novel biomarker and therapeutic strategy.

The Trends in Methanol Oxidation Reaction Mechanisms and Electrochemical Oxidation Catalysts (메탄올 산화 반응 메커니즘과 전기화학 산화 촉매 최신 동향)

  • Sungyool Bong
    • Applied Chemistry for Engineering
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    • v.35 no.2
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    • pp.79-84
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    • 2024
  • Methane is an abundant and renewable hydrocarbon, but it causes global warming as a greenhouse gas. Therefore, methods to convert methane into useful chemicals or energy sources are needed. Methanol is a simple and abundant chemical that can be synthesized by the partial oxidation of methane. Methanol can be used as a chemical feedstock or a transportation fuel, as well as a fuel for low-temperature fuel cells. However, the electrochemical oxidation of methanol is a complex and multi-step reaction. To understand and optimize this reaction, new electrocatalysts and reaction mechanisms are required. This review discusses the methanol oxidation reaction mechanism, recent research trends, and future research directions.

Prediction Model for Solar Power Generation Using Measured Data (측정 데이터를 이용한 태양광 발전량 예측 모델)

  • Yeongseo Park;Sangmin kang;Juseok Moon;Seongjun Cho;Jonghwan Lee
    • Journal of the Semiconductor & Display Technology
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    • v.23 no.3
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    • pp.102-107
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    • 2024
  • Previous research on solar power generation forecasting has generally relied on meteorological data, leading to lower prediction accuracy. This study, in contrast, uses actual measured power generation data to train various ANN (Artificial Neural Network) models and compares their prediction performance. Additionally, it describes the characteristics and advantages of each ANN model. The paper defines the principles of solar power generation, the characteristics of solar panels, and the model equations, and it also explains the I-V characteristics of solar cells. The results include a comparison between calculated and actual measured power generation, along with an evaluation of the accuracy of power generation predictions using artificial intelligence. The findings confirm that the LSTM (Long Short-Term Memory) model performs better than the MLP (Multi- Layer Perceptron) model in handling time-series data.

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