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Isolation of CONSTANS as a TGA4/OBF4 Interacting Protein
송영훈,Na Young Song,Su Young Shin,Hye Jin Kim,윤대진,임채오,이상열,강규영,홍종찬 한국분자세포생물학회 2008 Molecules and cells Vol.25 No.4
Members of the TGA family of basic domain/leucine zipper transcription factors regulate defense genes through physical interaction with NON-EXPRESSOR OF PR1 (NPR1). Of the seven TGA family members, TGA4/octopine synthase (ocs)-element-binding factor 4 (OBF4) is the least understood. Here we present evidence for a novel function of OBF4 as a regulator of flowering. We identified CONSTANS (CO), a positive regulator of floral induction, as an OBF4-interacting protein, in a yeast two-hybrid library screen. OBF4 interacts with the B-box region of CO. The abundance of OBF4 mRNA cycles with a 24 h rhythm under both long-day (LD) and short-day (SD) conditions, with significantly higher levels during the night than during the day. Electrophoretic mobility shift assays revealed that OBF4 binds to the promoter of the FLOWERING LOCUS T (FT) gene, a direct target of CO. We also found that, like CO and FT, an OBF4:GUS construct was prominently expressed in the vascular tissues of leaf, indicating that OBF4 can regulate FT expression through the formation of a protein complex with CO. Taken together, our results suggest that OBF4 may act as a link between defense responses and flowering.
강수량예측에서 편이보정방법과 GCM 선택에 대한 불확실성 비교
송영훈,정은성,Song, Young Hoon,Chung, Eun-Sung 한국수자원학회 2020 한국수자원학회논문집 Vol.53 No.4
Many climate studies have used the general circulation models (GCMs) for climate change, which can be currently available more than sixty GCMs as part of the Assessment Report (AR5). There are several types of uncertainty in climate studies using GCMs. Various studies are currently being conducted to reduce the uncertainty associated with GCMs, and the bias correction method used to reduce the difference between the simulated and the observed rainfall. Therefore, this study mainly considered climate change scenarios from nine GCMs, and then quantile mapping methods were applied to correct biases in climate change scenarios for each station during the historical period (1970-2005). Moreover, the monthly rainfall for the future period (2011-2100) is obtained from the RCP 4.5 scenario. Based on the bias-corrected rainfall, the standard deviation and the inter-quartile range (IQR) from the first to third quartiles were estimated. For 2071-2100, the uncertainty for the selection of GCMs is larger than that for the selection of bias correction methods and vice versa for 2011-2040. Therefore, this study showed that the selection of GCMs and the bias correction methods can affect the result for the future climate projection.
능동형 무인지게차 시스템을 위한 분산형 제어 네트워크 개발
송영훈(Young Hun Song),박지훈(Jee Hun Park),이상협(Sang Hyop Lee),이경창(Kyung Chang Lee),이석(Suk Lee) 한국자동차공학회 2009 한국자동차공학회 부문종합 학술대회 Vol.2009 No.4
Recently, unmanned vehicle such as AGVs(Automatic Guided Vehicles), OHTs(Overhead Hoist Transfers) are widely used in logistic industrial system. This paper focuses on the feasibility of CAN based distributed control network for active unmanned forklift. An active unmanned forklift has many electronic control units(ECU) that link sensor with actuators to handle intelligent function. The increasing number of electronic control units, sensors, and actuators in active unmanned forklift, and the increasing need for more intelligent functions requires a network with increased capacity and real-time capability.