排序方式: 共有3条查询结果,搜索用时 15 毫秒
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Yoo Byoung-Wook Kim Bom Joshi Pankaj Kwon Sung-Ok Kim YeonJin Oh Jung-Sook Kim Jeongseon Oh Se-Young Lim Ji-Ae Choi Byung-Sun Kim Yu-Mi Eom Sang-Yong Hong Young-Seob Sohn Seok-Joon Park Kyung-Su Pyo Heesoo Kim Ho Ha Mina Park Jung-Duck Kwon Ho-Jang Lee Sang-Ah 《Food science and biotechnology》2018,27(4):1227-1237
Food Science and Biotechnology - This study was aimed to examine the association the blood/urinary concentration of toxic metal (Hg, Pb, and Cd) with children’s dietary patterns. This... 相似文献
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Fernandes TG Kwon SJ Lee MY Clark DS Cabral JM Dordick JS 《Analytical chemistry》2008,80(17):6633-6639
We have developed an immunofluorescence-based assay for high-throughput analysis of target proteins on a three-dimensional cellular microarray platform. This process integrates the use of three-dimensional cellular microarrays, which should better mimic the cellular microenvironment, with sensitive immunofluorescence detection and provides quantitative information on cell function. To demonstrate this assay platform, we examined the accumulation of the alpha subunit of the hypoxia-inducible factor (HIF-1alpha) after chemical stimulation of human pancreatic tumor cells encapsulated in 3D alginate spots in volumes as low as 60 nL. We also tested the effect of the known dysregulator of HIF-1alpha, 2-methoxyestradiol (2ME2), on the levels of HIF-1alpha using a dual microarray stamping technique. This chip-based in situ Western immunoassay protocol was able to provide quantitative information on cell function, namely, the cellular response to hypoxia mimicking conditions and the reduction of HIF-1alpha levels after cell treatment with 2ME2. This system is the first to enable high-content screening of cellular protein levels on a 3D human cell microarray platform. 相似文献
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Ditursi MK Kwon SJ Reeder PJ Dordick JS 《Protein engineering, design & selection : PEDS》2006,19(11):517-524
A longstanding goal in protein engineering is to identify specific sequence changes that endow proteins with desired functional properties. As opposed to traditional rational and random protein engineering techniques, we have employed a bioinformatic approach to identify specific sequence changes that influence key functional properties of a protein within a defined superfamily. Specifically, we have used the Bayesian sequence-based algorithms PROBE and Classifier to identify a strand-turn-strand motif that contributes to thermophilicity among members of the serine protease subtilase superfamily. By replacing a 16 amino acid sequence in the mesophilic subtilisin E (from Bacillus subtilis) with a bioinformatics-generated thermophilic model sequence, the melting temperature of subtilisin E was increased by 13 degrees C. While wild-type subtilisin E was inactive at 90 degrees C, the mutant retained a substantial fraction of its function, with ca. one-third of the activity that it has at 45 degrees C. 相似文献
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