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2nd Regular Meeting on Molecular Cybernetics and 46th Regular Meeting on Molecular Robotics (online)

The meeting is organised by the Grant-in-Aid for Scientific Research on Innovative Areas (A) "Molecular Cybernetics" (Area Representative: Satoshi Murata (Tohoku University)).


The 2nd Regular Meeting on Molecular Cybernetics and The 46th Regular Meeting on Molecular Robotics (online) will be held on Monday, 10 May 2021. This time, in addition to the topics of mathematical modelling of neural networks and data measurement and analysis in C. elegans, we will have lectures by professors who are active at the forefront of biochemical system dynamics simulation.

We look forward to your participation. After the meeting, there will also be an exchange meeting, albeit in online format.


We look forward to your participation.


===== <Research meeting information> =====

Organised by: Grant-in-Aid for Scientific Research on Innovative Areas (A) "Molecular Cybernetics

Supported by: Society of Instrument and Control Engineers, Systems and Information Division, "Intelligent Molecular Robotics Research Group".

Date and time: 10 May (Monday, 14:00-17:00 approx.) * Social gathering planned after the workshop.

Place: Zoom URL to be announced shortly.

Participation fee: Free of charge (exchange meeting is also free of charge).


Registration: https://docs.google.com/forms/d/e/1FAIpQLSfidMByBzyTbyyLuwIZgD8JVN-xAzOC37FeT6E7HHfdbYMcPA/viewform?vc=0&c=0&w=1&flr=0


*Zoom meeting information will be sent to those who have applied on Friday 7 May. Please be careful not to make any input errors, as we will use the email address you have entered.

If you do not receive the Zoom meeting information by 15:00 on Friday 7 May, please contact us at the following address.


===== <Programme> =====

Lecture 1

Dr Tadafumi Iwasaki (Ibaraki University)

Title: Mathematical modelling and whole brain activity data analysis for understanding the regulatory mechanisms of the nematode nervous system

Abstract: The nematode C. elegans nervous system consists of only 302 neurons, but shows adaptability to mechanical stimuli and memory and learning abilities related to chemotaxis and thermotaxis. It is also known to be the only organism in which synaptic connections (topology of the neuronal circuit) between all neurons are known, and recently the activity of all central neurons has been measured non-invasively by calcium imaging. Here, synaptic connections are only pathways that can transmit information, but are not necessarily actually 'used' during information processing. In this talk, I will present the results of a time series analysis of all central nervous activity data, estimating the signalling pathways between neurons (synapses actually in use) and comparing them with the neuronal circuit structure (synapses available for use). In addition, certain odour-sensitive neurons in C. elegans show learning and adaptive responses to odour stimuli on their own. A learning/adaptation model in which signalling in a single cell is represented by a chemical reaction equation of biomolecules will also be presented.


Lecture 2

Dr Asahimasa Tokunaga (Kyushu Institute of Technology)

Title: Towards the establishment of simultaneous membrane potential/calcium imaging at the cellular level in C. elegans.

Abstract: Genetically encoded Ca2+ sensors (GECIs) have been used as a powerful tool to investigate the dynamics of neural activity in organisms. On the other hand, to understand the mechanism of information processing in organisms, it is important to know not only Ca2+ concentration but also membrane potential fluctuations. We are developing a technique for cell-level imaging of membrane potential dynamics in the model organism C. elegans using paQuasAr3, a type of genetically encoded membrane potential sensor (GEVI). , simultaneous imaging of membrane potential/Ca2+ at the cellular level is being achieved. In particular, for the AWA, one of the olfactory nerves of Caenorhabditis elegans, we have succeeded in measuring, with high reproducibility, membrane potential fluctuations that clearly correspond to external stimuli. Currently, based on 4D imaging using high-speed confocal microscopy, we are aiming at imaging membrane potential/Ca2+ dynamics in multiple cells. In this talk, I will describe the current challenges and the new developments that can be expected from the clarification of membrane potential dynamics in the central nervous system.


Lecture 3

Dr Kazunori Maeda (Kyushu Institute of Technology)

Title: Understanding and designing biochemical systems using kinetic simulation

Abstract: Simulation using kinetic models is essential for understanding biochemical systems. However, there is a lack of information on biochemical parameters necessary for the development of kinetic models. In addition, there are measurement errors in experimentally measured biochemical parameters and molecular concentrations. This presentation will illustrate how such biology-specific simulation difficulties can be overcome, using real-life examples of biological oscillatory systems and E. coli nitrogen metabolism systems. Recently, the freedom to modify organisms has increased dramatically with the development of genome synthesis technology. However, designing cells with desired functions, such as production of useful substances, still requires a great deal of experimentation. Therefore, in the second part of this presentation, research on cell design using kinetic simulation will be presented.


13:30-14:00 Registration.

14:00-14:05 Opening remarks

14:05-14:35 Lecture by Dr Iwasaki

14:35-14:45 Questions and answers

14:45-14:50 Break

14:50-15:20 Lecture by Dr Tokunaga

15:20-15:30 Questions and answers

15:30-15:35 Break

15:35-16:05 Lecture by Dr Maeda

16:05-16:15 Question and answer session

Closing around 16:20

--

16:30-17:30 Exchange (online)


===== <contact> =====

Graduate School of Information Engineering, Kyushu Institute of Technology

Graduate School of Information Engineering, Kyushu Institute of Technology

Takashi NakaKuKI

Email nakakuki@ces.kyutech.ac.jp

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