권순호 교수
Soonho Kwon
포항공과대학교 신소재공학과 · 생화학·유전·분자생물학
연구실 소개
권순호 교수의 연구실은 세포 내 칼슘 신호 전달 메커니즘과 환경 오염물질의 건강 영향을 중심으로 한 생물의학적·환경화학적 연구를 수행하고 있습니다. 특히 성장인자에 의한 세포 내 자유 칼슘 농도 변화, 특히 핵내 칼슘 동역학의 조절 메커니즘을 고해상도 현미경 기법을 활용해 규명하고 있으며, 동시에 한국 소비자 대상 식용유에서의 진균류 독소(옥시토신 A, 제아레알론론 등)의 노출 평가 및 건강 위험도 분석도 진행하고 있습니다. 이는 세포 신호전달 메커니즘과 환경독소의 생물학적 영향을 융합적으로 접근하는 연구 성향을 반영합니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
6Confocal laser scanning microscopy was used to analyze alterations in nuclear free calcium (Ca2+n) levels induced by platelet-derived growth factor (PDGF) isoforms in BALB/c3T3 fibroblasts loaded with the calcium-sensitive fluorescent indicator Fluo-3. Both AA-PDGF and BB-PDGF caused a transient increase in Ca2+n. Analysis of PDGF-induced Ca2+n alterations as a function of time revealed that BB-PDGF stimulation resulted in the generation of Ca2+n oscillations that diminished over time. The frequ
Confocal laser scanning microscopy was used to analyze alterations in nuclear free calcium (Ca2+n) levels induced by platelet-derived growth factor (PDGF) isoforms in BALB/c3T3 fibroblasts loaded with the calcium-sensitive fluorescent indicator Fluo-3. Both AA-PDGF and BB-PDGF caused a transient increase in Ca2+n. Analysis of PDGF-induced Ca2+n alterations as a function of time revealed that BB-PDGF stimulation resulted in the generation of Ca2+n oscillations that diminished over time. The frequ
This research investigated the concentrations and dietary exposure of ochratoxin A (OTA) and zearalenone (ZEN) in edible vegetable oils among the Korean population. In 2022, 80 edible vegetable oil samples were collected from various retail sources in Korea. OTA was detected in 7.5% of the samples, and ZEN was detected in 62.5%. Dietary intake estimates were based on our findings and food consumption data from the Korean National Health and Nutrition Examination Survey. Dietary exposure was eval
Abstract. Ground-level ozone remains a persistent challenge in East Asian urban centers, where concentrations continue rising despite significant reductions in precursor emissions. Designing effective mitigation is complicated by the non-linear relationship between precursor abundance and reactivity. Standard data-driven approaches often suffer from "survivor bias," systematically undervaluing highly reactive precursors that are rapidly depleted. We introduce a process-informed machine learning
formation are not observed within this time window at the current signal-to-noise ratio, indicating that photofragmentation remains a minor channel up to 100 ps. These results provide element-specific insight into nitroaromatic photochemistry and support a mechanism in which photofragmentation is delayed by transient excited-state trapping.
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