기초과학연구원 의생명수학그룹
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We will discuss about “A trade-off in controlling upstream and downstream noise in signaling networks”, bioRxiv (2023): 2023-08. Abstract Signal transduction, underpinning the function of a variety of biological systems, is inevitably affected by fluctuations. It remains intriguing how the timescale of a signaling network relates to its capability of noise control, specifically, whether long … |
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Abstract: Cell-to-cell variability in gene expression exists even in a homogeneous population of cells. Dissecting such cellular heterogeneity within a biological system is a prerequisite for understanding how a biological system is developed, homeostatically regulated, and responds to external perturbations. Single-cell RNA sequencing (scRNA-seq) allows the quantitative and unbiased characterization of cellular heterogeneity by providing … |
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Program table: Topic Talk+Q&A Presenter Title Model reduction 9:00-9:10 Hyeong Jun Jang Accurate and precise estimation in enzyme inihibition 9:10-9:20 Seolah Shin Beyond Homogeneity: Assessing the Validity of the Michaelis–Menten Rate Law in Spatially Heterogeneous Environments Circadian rhythms & Sleep 9:20-9:35 Ahn Jong Seok, Kim Ju Hyeon Estimating missed initial sleep data to guess accurate … |
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Abstract: Through the past decades, electrophysiological experiments have revealed that extracellular electrical potential of brain show diverse rhythmic activity. Called ‘Local Field Potential(LFP)’, those rhythmic activities are thought to reflect populational activity of neurons. In this talk, I will introduce basic concepts on LFP and its generation mechanisms. Then, roles of LFP in brain inter-areal … |
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We will discuss about “Anticipating the occurrence and type of critical transitions”, Science Advances 9.1 (2023): eabq4558. Abstract Critical transition can occur in many real-world systems. The ability to forecast the occurrence of transition is of major interest in a range of contexts. Various early warning signals (EWSs) have been developed to anticipate the … |
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We will discuss about “A statistical framework for differential pseudotime analysis with multiple single-cell RNA-seq samples ”, Nature communications 14.1 (2023): 7286. Abstract Pseudotime analysis with single-cell RNA-sequencing (scRNA-seq) data has been widely used to study dynamic gene regulatory programs along continuous biological processes. While many methods have been developed to infer the pseudotemporal trajectories … |
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