A Dynamic Paradigm for Molecular Cell Biology

ZOOM ID: 997 8258 4700 (Biomedical Mathematics Online Colloquium) (pw: 1234)

Abstract: The driving passion of molecular cell biologists is to understand the molecular mechanisms that control important aspects of cell physiology, but this ambition is - paradoxically - limited by the very wealth of molecular details currently known about these mechanisms. Their complexity overwhelms our intuitive notions of how molecular regulatory networks might respond under

Time-keeping and Decision-making in the Cell Cycle

ZOOM ID: 997 8258 4700 (Biomedical Mathematics Online Colloquium) (pw: 1234)

Abstract: Cell growth, DNA replication, mitosis and division are the fundamental processes by which life is passed on from one generation of eukaryotic cells to the next. The eukaryotic cell cycle is intrinsically a periodic process but not so much a ‘clock’ as a ‘copy machine’, making new daughter cells as warranted. Cells growing under

Predicting chronic stress among healthy females using daily-Life physiological and lifestyle features from wearable sensors

B378 Seminar room, IBS 55 Expo-ro Yuseong-gu, Daejeon

We will discuss about "Predicting chronic stress among healthy females using daily-Life physiological and lifestyle features from wearable sensors ", Magal, Noa, et al. , Chronic Stress 6 (2022) Abstract: Background: Chronic stress is a highly prevalent condition that may stem from different sources and can substantially impact physiology and behavior, potentially leading to impaired

Stationary distributions and positive recurrence of chemical reaction networks

ZOOM ID: 997 8258 4700 (Biomedical Mathematics Online Colloquium) (pw: 1234)

Abstract: Cellular, chemical, and population processes are all often represented via networks that describe the interactions between the different population types (typically called the "species"). If the counts of the species are low, then these systems are often modeled as continuous-time Markov chains on the d-dimensional integer lattice (with d being the number of species),

Modeling spatial intercellular communication and multilayer signaling regulations using stMLnet

B378 Seminar room, IBS 55 Expo-ro Yuseong-gu, Daejeon

We will discuss about "Modeling spatial intercellular communication and multilayer signaling regulations using stMLnet ", Chen, Jingyu, et al., bioRxiv (2022) Abstract: Multicellular organisms require intercellular and intracellular signaling to coordinately regulate different cell functions. The technological advance of spatial transcriptomics (ST) lets us leverage spatial information to better elucidate cell signaling and functioning. Here,

Mathematical modelling of the sleep-wake cycle: light, clocks and social rhythms

ZOOM ID: 997 8258 4700 (Biomedical Mathematics Online Colloquium) (pw: 1234)

Abstract: We’re all familiar with sleep, but how can we mathematically model it? And what determines how long and when we sleep? In this talk I’ll introduce the nonsmooth coupled oscillator systems that form the basis of current models of sleep-wake regulation and discuss their dynamical behaviour. I will describe how we are using models

Transparent single-cell set classification with kernel mean embeddings

B378 Seminar room, IBS 55 Expo-ro Yuseong-gu, Daejeon

We will discuss about "Transparent single-cell set classification with kernel mean embeddings", Shan, Siyuan, et al., proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics. 2022 Abstract: Modern single-cell flow and mass cytometry technologies measure the expression of several proteins of the individual cells within a blood or tissue sample.

Modeling cell-to-cell heterogeneity from a signaling network

ZOOM ID: 997 8258 4700 (Biomedical Mathematics Online Colloquium) (pw: 1234)

Cells make individual fate decisions through linear and nonlinear regulation of gene network, generating diverse dynamics from a single reaction pathway. In this colloquium, I will present two topics of our recent work on signaling dynamics at cellular and patient levels. The first example is about the initial value of the model, as a mechanism

Edda Klipp, TBD

ZOOM ID: 997 8258 4700 (Biomedical Mathematics Online Colloquium) (pw: 1234)

Abstract: TBA

IBS 의생명수학그룹 Biomedical Mathematics Group
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IBS Biomedical Mathematics Group (BIMAG)
Institute for Basic Science (IBS)
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