Curriculum
Module 01 · 45 min
The Cell as a System
Why cell biology — not a parts list — is the operating system of medicine.
CoreClinicalResearch
Topics
What this module covers
- 01From organelle inventory to integrated systems thinking
- 02Scales: angstroms to organisms, microseconds to lifetimes
- 03Emergent properties: phenotype is not the sum of proteins
- 04Why every disease is, eventually, a cell-biology problem
- 05How this course is organized across three tracks
Deep dives
Lesson sub-pages
Learning objectives
By the end of this module you will be able to
- L01Place the major cellular processes on a single map of information, energy and material flow.
- L02Explain why two cells with identical genomes can have radically different phenotypes.
- L03Argue, with examples, that targeted therapy without cell-biology context fails predictably.
Expected takeaways
What you should walk away believing
- →A cell is a self-maintaining, far-from-equilibrium chemical reactor that copies itself.
- →Phenotype = genotype × proteostasis × signaling state × microenvironment × history.
- →Pharmacology that ignores compartment, kinetics, or feedback will surprise you at the bedside.
Core summary
At the Core level
A eukaryotic cell is a self-correcting factory: ~10 billion proteins, ~10^9 ATP turnover per second, organized into membrane-bounded compartments that exchange matter and information continuously. Disease is what happens when this self-correction fails — by mutation, infection, ageing, or environment. Every drug you give is a perturbation of this system.
Myth vs reality
Common misconception
Claim
If we knew every gene in a cell, we would understand it.
Reality
Even with the complete parts list, behaviour depends on copy number, post-translational modification, localisation, and stochastic dynamics. The Human Cell Atlas and Human Proteome Project are necessary but not sufficient.
Evidence-graded claims
Claims, scored A–F
A
A typical human cell hydrolyses ~10^9 ATP molecules per second
Biophysical bookkeeping; well-established.
D
Single-cell RNA-seq predicts protein abundance accurately
mRNA-protein correlation is modest (r ≈ 0.4); proteomics still required.
F
Genetic background fully explains drug response
Cell state, microbiome, age and prior exposure dominate in many cases.
Quiz
Check your understanding
Q1. Approximately how many ATP molecules does a resting human cell hydrolyse per second?
Q2. Why does mRNA abundance predict protein abundance only modestly?
Flashcards
Lock it in
1 / 3
Front
One-line definition of a cell?
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Suggested reading
Primary literature
- What is a cell? — Conceptual perspective — Alberts et al., Molecular Biology of the Cell, 7th ed. ↗
- The Human Cell Atlas: from vision to reality — Regev et al., Nature 2017 ↗