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Stuff(t)�(or the Protocol of Biological Dynamics)

Skills Week

MBL Physiology Course

Summer 2024

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Adventure Map

a physical view

of biological phenomena

(for your rotations

and “real life”)

physical

models

order-of-magnitude

estimates

pen-and-paper

calculations

numerical

simulations

in Python

theory —

experiment

dialogue

Math and

computation

as biology’s

next microscope

the power

of abstraction

biological

numeracy

statistical

analysis

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The Incredible Diversity of Time Scales in Biological Processes

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Stuff(t) Pervades All of Science�Galileo and Falling Bodies

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Stuff(x,t) Pervades All of Science�The Belousov–Zhabotinsky Reaction

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Stuff(t) Pervades All of Science�Human Impacts and the Keeling Curve

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Stuff(t) Pervades All of Science�Dynamics of the Immune System

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The Step-In-Time Protocol

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Stuff(t) Pervades All of Science�Dynamics of Bacterial Growth

  • Your turn: Estimate the division time in this movie
  • What sets the time scale for bacterial division?
  • Let’s answer this question by developing a feeling for the organism!

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Neidhardt and His Lifelong Love for dN/dt

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Measuring Growth Dynamics in Bulk

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Bacterial Growth Dynamics Revealed the Great Insight from Monod and Jacob: Genes That Control Other Genes

Monod (1949)

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Single-Cell Bacterial Growth in High Throughput: The Mother Machine

Suckjoon Jun @ UCSD

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The Mathematics of Change

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A Model of Bacterial Growth

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A Recurring Theme: Divide and Conquer�The Example of Riemann Integrals

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Divide and Conquer in Time to Integrate Differential Equations Using the Euler Method

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A Chat with ChatGPT

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Our First Key Equation: Exponential Growth

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A Feeling for Exponential Growth

  • Your turn: How long would it take for E. coli doubling every 30 minutes to cover the whole surface of the Earth?

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Logistic Growth Accounts for the Carrying Capacity of a Cell Culture

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Logistic Growth

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Measuring Colony Growth and Fitting for the Growth Rate

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Stuff(t) Leads Us to “Dynamical Systems”�Differential Equations as Update Rules

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Adventure Map

a physical view

of biological phenomena

(for your rotations

and “real life”)

physical

models

order-of-magnitude

estimates

pen-and-paper

calculations

numerical

simulations

in Python

theory —

experiment

dialogue

Math and

computation

as biology’s

next microscope

the power

of abstraction

biological

numeracy

statistical

analysis

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Our First Exercise In Mathematicizing�Our Pathetic Thinking