19 Experimental Proofs and Methods
19.1 How Scientists Prove Things in Genomics
19.1.1 The Scientific Method in Action
Throughout this book, we’ve learned about amazing discoveries. But how did scientists actually PROVE their ideas?
The scientific method:
Observe something interesting
Ask a question
Form a hypothesis (educated guess)
Design an experiment to test it
Collect and analyze data
Draw conclusions
Let’s explore clever experimental methods that proved key concepts!
19.2 Classic Labeling Experiments
19.2.1 Using Isotopes to Track Molecules
Isotopes = Different forms of the same element
Same element, different weight
Some are radioactive (can be detected!)
Used to “label” and track molecules
Think of isotopes like:
Putting a GPS tracker on something
Using glow-in-the-dark paint to follow it
Tagging an animal to track its migration
19.2.2 The Meselson-Stahl Experiment (1958)
The Question: How does DNA replicate? Three possibilities:
Conservative: Original DNA stays together, new copy is separate
Semi-conservative: Each new DNA has one old strand, one new strand
Dispersive: Old and new DNA mixed together
The Clever Experiment:
Setup:
Grew bacteria in medium with heavy nitrogen (¹⁵N) for many generations
All DNA became “heavy”
Then switched to normal nitrogen (¹⁴N)
Let bacteria replicate once, twice, etc.
Detection Method:
Centrifuge in special solution
Heavy DNA sinks more
Light DNA floats more
Can see distinct bands!
Results:
After 1 replication: ALL DNA was medium weight (half-heavy, half-light)
After 2 replications: Half medium, half light
This matched semi-conservative replication!
Conclusion: DNA replication is semi-conservative!
Each new DNA has one original strand and one new strand
Like unzipping the ladder and building a new side for each half
Why this experiment was brilliant:
Simple, elegant design
Clear, unambiguous results
Definitively answered the question
19.2.3 Pulse-Chase Experiments
What they are: Give cells a “pulse” of labeled material, then “chase” with unlabeled material
How it works:
Pulse: Give cells radioactive amino acids for short time
Chase: Switch to normal amino acids
Track: See where the radioactive proteins go over time
What it tells us:
Path of proteins through the cell
How long processes take
Where proteins end up
Example: Tracking protein secretion
Pulse: Radioactive amino acids → proteins made in ER
Chase: Follow labeled proteins through Golgi → secretion
Result: Map the secretory pathway!
19.3 Functional Genomics Approaches
19.3.1 Understanding What Genes Do
Functional genomics = Determining the functions of genes and their products
19.3.2 Gene Knockout Experiments
What it is: Deliberately “break” a gene to see what happens
Logic:
If you break gene X and the organism can’t do Y anymore
Then gene X must be needed for Y!
Methods:
1. Classical Gene Knockout (in mice):
Remove or disrupt a gene
Create mice with that gene missing
See what goes wrong
Identify gene function!
Example:
Knock out gene for leptin
Mice become obese
Conclusion: Leptin controls appetite/weight!
2. RNA Interference (RNAi):
Add small RNAs that destroy specific mRNAs
Temporarily “turn off” genes
See effects
Faster than classical knockout
3. CRISPR-Cas9 (modern method):
Precisely edit genes
Can knockout, knockin, or modify
Fast, cheap, accurate
Revolutionary!
19.3.3 Gene Overexpression
What it is: Make cells produce too much of a protein
Methods:
Insert extra copies of gene
Use strong promoters
Force high expression
Why do it:
See effects of too much protein
Study protein function
Produce proteins for research or medicine
Example:
Overexpress growth factor
Cells grow faster
Conclusion: That growth factor promotes growth!
19.3.4 Reporter Genes
What they are: Genes that make easily detectable proteins
Common reporters:
GFP (Green Fluorescent Protein): Glows green!
Luciferase: Makes light (like fireflies)
LacZ: Turns blue with specific chemical
How to use them:
Attach reporter gene to gene of interest
Reporter expression shows where/when gene is active
Can see it with microscope or other detection!
Example:
Attach GFP to muscle gene promoter
See which cells become muscle (they glow green!)
Watch development in real-time!
Think of reporters like:
Putting a light bulb on a light switch
You can see when the switch (gene) is ON!
19.4 ChIP: Chromatin Immunoprecipitation
19.4.1 Finding Where Proteins Bind to DNA
ChIP = Method to find where specific proteins bind on DNA
How it works:
Crosslink: Proteins bound to DNA are “glued” together
Break up: Shear DNA into small pieces
Immunoprecipitate: Use antibody to pull out specific protein
Unglue: Reverse crosslinking
Sequence: Sequence the DNA that was bound
Map: Find where in genome that DNA came from!
Result: Know exactly where in the genome your protein was bound!
Applications:
Find where transcription factors bind
Map histone modifications
Understand gene regulation
ChIP-seq = ChIP + Next-gen sequencing
Maps protein-DNA interactions genome-wide
Incredibly powerful!
19.5 CRISPR-Cas9: The Gene Editing Revolution
19.5.1 Molecular Scissors for DNA
CRISPR-Cas9 = Precise gene editing tool (Nobel Prize 2020!)
What it does: Cut DNA at exact locations and make changes
How it works:
Guide RNA: Designed to match target DNA sequence
Cas9 enzyme: Molecular scissors that cut DNA
Complex: Guide RNA + Cas9 finds target
Cut: Cas9 cuts both DNA strands
Repair: Cell repairs cut (can insert changes during repair!)
Think of it like:
Find: GPS directs you to exact address (guide RNA)
Cut: Scissors cut at that location (Cas9)
Fix: Cell repairs, possibly with changes
Applications:
Research:
Knockout genes easily
Edit specific mutations
Study gene function
Medicine (experimental):
Fix disease-causing mutations
Sickle cell disease trials
Cancer immunotherapy
Potentially cure genetic diseases!
Agriculture:
Create disease-resistant crops
Improve nutrition
Drought tolerance
Why CRISPR is revolutionary:
Easy: Much simpler than old methods
Fast: Days instead of months/years
Cheap: Affordable for most labs
Precise: Target exact locations
Versatile: Works in many organisms
19.6 Single-Cell Technologies
19.6.1 Studying Individual Cells
The problem: Bulk measurements average across millions of cells The solution: Single-cell technologies!
19.6.2 Single-Cell RNA-seq (scRNA-seq)
What it does: Measure gene expression in individual cells
Why it matters:
See cell-to-cell variation
Identify rare cell types
Watch cells change over time
Understand diseases better
Applications:
Cancer: Find rare resistant cells
Development: Watch cells differentiate
Immunology: Identify immune cell types
Neuroscience: Map brain cell types
How it works:
Isolate single cells
Capture mRNA from each cell
Add cell-specific “barcode”
Sequence all cells together
Use barcodes to separate data from each cell
Analyze individual cell gene expression!
19.6.3 Single-Cell Genomics
What it does: Sequence genomes of individual cells
Why:
See genetic variation between cells (cancer!)
Study rare cells
Understand mosaicism
Application: Cancer
Sequence many tumor cells
See which mutations each cell has
Understand tumor evolution
Identify dangerous cell populations
19.7 Imaging Technologies
19.7.1 Seeing Genes and Proteins in Action
19.7.2 Fluorescence Microscopy
What it is: Using fluorescent molecules to see biological structures
Key techniques:
Immunofluorescence: Antibodies with fluorescent tags
Live-cell imaging: Watch processes in real-time
Super-resolution: See details smaller than normal light microscopy limit
Example - watching protein movement:
Tag protein with GFP (green fluorescent protein)
Watch it move in living cells
See where it goes, how fast, what it does
Like having a spy camera in the cell!
19.7.3 FISH (Fluorescence In Situ Hybridization)
What it does: Find specific DNA or RNA sequences in cells/tissues
How it works:
Design fluorescent probe that binds specific sequence
Add probe to cells/tissue
Wash away unbound probe
Look with fluorescence microscope
See glowing spots where sequence is!
Applications:
Count chromosome numbers
Detect gene deletions/amplifications
See which cells express specific genes
Prenatal genetic testing
19.8 Key Takeaways
Isotope labeling = Track molecules using heavy/radioactive atoms
Meselson-Stahl proved semi-conservative DNA replication
Pulse-chase experiments track protein pathways
Functional genomics = Determining gene functions
Gene knockouts: Break gene, see effects
Overexpression: Too much protein, see effects
Reporter genes: Visual markers for gene activity
ChIP = Find where proteins bind DNA genome-wide
CRISPR-Cas9 = Precise gene editing (revolutionary!)
Easy, fast, cheap, precise
Applications in research, medicine, agriculture
Single-cell technologies = Study individual cells
scRNA-seq: Gene expression in each cell
Reveals cell heterogeneity
Imaging = See genes and proteins in action
Fluorescence microscopy
FISH
These methods transformed our understanding of genomics and continue to drive discoveries!
Sources: Information adapted from experimental methods literature, CRISPR research, and functional genomics publications.