Tutorial

Biology and Biotech Fundamentals Tutorial

A practical tutorial on the biology and biotech essentials, aimed at non-biologists who want to read the field with clear eyes. Covers cells, the central dogma, genes, proteins, genetics, evolution, the standard lab toolkit, CRISPR, synthetic biology, drug development, and the habits for separating biotech hype from what's actually happening.

Tutorial·Difficulty: Beginner·12 chapters·Updated Apr 21, 2026

Chapters

About this tutorial

A practical tour of the biology and biotech essentials, aimed at people who want to read the field with clear eyes without becoming professional biologists.

Who This Is For

  • Technologists and founders trying to understand the biotech sector
  • Investors who want to evaluate biotech pitches beyond the buzzwords
  • Journalists, writers, and thoughtful readers who keep running into "CRISPR" and want to actually know what it is
  • Curious adults whose last formal biology class was a while ago
  • Programmers and engineers interested in synthetic biology or bioinformatics as a career pivot

Contents

Fundamentals

  1. Introduction: What biology and biotech are, why the field matters now
  2. Cells: The cell as the unit of life, prokaryotes vs eukaryotes, organelles

Core Concepts

  1. DNA, RNA, and Proteins: The central dogma, the three molecules that run biology
  2. Genes and Genomes: What genes are, genome organisation, the surprising amount of non-coding DNA
  3. Proteins in Action: Enzymes, structural proteins, signalling, and folding
  4. Genetics: Mendelian genetics, modern genetics, and the sources of variation
  5. Evolution: Natural selection, drift, the theory that ties everything together

Advanced

  1. Core Lab Tools: PCR, cloning, gels, sequencing, the daily toolkit
  2. CRISPR and Gene Editing: CRISPR explained, older tools, the implications
  3. Synthetic Biology: Engineering biology, metabolic engineering, cell factories

Ecosystem

  1. Drug Development: Targets, trials, and how a drug actually reaches a pharmacy

Mastery

  1. Best Practices: Reading biotech news well, separating hype from reality

How to Use This Tutorial

  1. Read in order. The chapters build: you can't understand gene editing without genes, and you can't read genetics cleanly without the central dogma
  2. Accept the analogies. Biology is messy and the analogies are partial. They're still useful. "Code" is not the right word for DNA, but it gets you far enough for now
  3. Look things up as you go. The field moves. When you read "the latest CRISPR variant", assume something newer exists by now

Quick Reference

The Central Dogma

DNA    →    RNA    →    Protein
       transcription  translation

DNA stores information. RNA carries it around. Proteins do the work.

The Three Molecules

DNA        long double helix; the archive. 4 letters: A, T, G, C
RNA        single-stranded working copy. 4 letters: A, U, G, C
Protein    chain of 20 amino acids, folded into a shape that does a job

The Central Tools (as of 2026)

PCR                  copy a specific DNA sequence millions of times
Sequencing           read DNA letter by letter
Cloning              insert a gene into a vector and grow it in cells
Gel electrophoresis  separate molecules by size
CRISPR               cut DNA at a precise location; edit if desired
Mass spec            identify proteins by their mass fingerprint
Cell culture         grow cells in a dish

Sizes of Things

Atom                           ~0.1 nanometres
DNA double helix width         2 nm
Protein (average)              5 to 10 nm
Ribosome                       25 nm
Virus (average)                100 nm
Bacterium                      1 to 2 micrometres (1,000 to 2,000 nm)
Human cell (average)           10 to 30 micrometres
Single human chromosome        laid out, roughly 2 metres of DNA total
Human genome                   ~3 billion base pairs, around 20,000 genes

The Orders of Life

Life   →   Domain   →   Kingdom   →   Phylum   →   Class   →   Order   →   Family   →   Genus   →   Species

(Humans: Eukarya, Animalia, Chordata, Mammalia, Primates, Hominidae, Homo, Homo sapiens)

Learning Path Suggestions

The curious non-scientist (roughly 6 hours)

  1. Chapters 01 through 03 for the big picture
  2. Chapter 05 on proteins (where most drugs act)
  3. Chapter 09 on CRISPR
  4. Chapter 12 for the hype-filter

The investor or analyst (roughly 5 hours)

  1. Chapters 01 through 07 for scientific literacy
  2. Chapter 11 on drug development (the money flows here)
  3. Chapter 12 for reading the field

The programmer pivoting to bio (roughly 8 hours)

  1. Read everything
  2. Pay extra attention to chapters 04, 08, 10 (genomes, lab tools, synbio)
  3. Supplement with an intro bioinformatics book or course

Why Biology Matters Now

  • Sequencing is cheap. A full human genome cost $3 billion in 2003; it's under $500 today
  • CRISPR made editing easy. A tool that took a lab to use in 2012 is now a high-school lab exercise
  • Drug development is being rewritten by AI-designed molecules, mRNA vaccines, and cell therapies
  • Biology is becoming engineering. Synthetic biology aims to design organisms the way we design software

You don't need to be a biologist to engage with any of this. You need enough literacy to read the claims with appropriate scepticism and enough context to spot the interesting bits.

Additional Resources

  • The Molecular Biology of the Cell (Alberts et al.) is the canonical textbook; heavy but authoritative
  • A Crack in Creation by Jennifer Doudna (CRISPR from the inventor's perspective)
  • The Gene by Siddhartha Mukherjee (long, readable history)
  • The Emperor of All Maladies by Siddhartha Mukherjee (cancer, which teaches a lot about biology)
  • She Has Her Mother's Laugh by Carl Zimmer (genetics and heredity)
  • The Vital Question by Nick Lane (energy and the origins of life)
  • Khan Academy Biology (free, structured)
  • Coursera: Introduction to Genetics and Evolution from Duke
  • In Defense of Signal and similar biotech industry newsletters

On Analogies

Biology uses a lot of computer analogies: DNA is "code", cells "run programs", genes are "modules". These are useful and misleading in equal parts. A biological cell is much messier than a running program, full of randomness, redundancy, and contextual decisions. Use the analogies where they help; drop them when they don't.