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Protein-protein interactions (PPIs) are the molecular handshakes that drive virtually every cellular process—from signal transduction and gene regulation to immune responses and metabolic pathways. When you're tested on proteomics, you're not just being asked to name techniques; you're being evaluated on whether you understand why certain methods work for specific research questions. Can you detect interactions in living cells? Do you need kinetic data or just a yes/no answer? Is the interaction stable or fleeting?
The techniques in this guide demonstrate core principles: affinity-based capture, energy transfer physics, label-free detection, and cross-linking chemistry. Each method has trade-offs between sensitivity, throughput, and biological relevance. Don't just memorize what each technique does—know when you'd choose one over another and what type of data each provides. That's what separates a strong exam answer from a mediocre one.
These techniques exploit the natural binding properties of proteins to "fish out" interaction partners. The core principle: immobilize one protein (the bait) and see what sticks (the prey).
Compare: Co-IP vs. Pull-Down—both capture interaction partners through affinity, but Co-IP uses antibodies against endogenous proteins while pull-downs require tagged bait proteins. Co-IP reflects native cellular conditions; pull-downs offer more control for in vitro validation. If an FRQ asks about confirming a suspected interaction, pull-downs are your cleaner answer.
These techniques detect interactions by measuring energy transfer between labeled proteins. The physics: when two fluorophores or luminophores are close enough (typically <10 nm), energy transfers from donor to acceptor—proximity equals interaction.
Compare: FRET vs. BRET—both detect proximity-based interactions in living cells, but BRET's bioluminescent donor eliminates photobleaching and autofluorescence issues. Choose FRET when you need spatial resolution with microscopy; choose BRET for cleaner quantitative measurements of interaction dynamics.
When you need binding affinity data—not just "do they interact?" but "how strongly and how fast?"—these techniques deliver quantitative kinetic parameters without modifying the proteins.
Compare: SPR vs. FRET/BRET—SPR gives you quantitative binding kinetics but requires purified proteins and works outside cells. Energy transfer methods work in live cells but provide less precise affinity measurements. FRQ tip: if the question asks about binding affinity or kinetic constants, SPR is your answer.
These approaches leverage cellular machinery or spatial information to detect interactions at scale or with subcellular resolution.
Compare: Y2H vs. Protein Microarrays—both offer high-throughput screening, but Y2H detects interactions in living cells (with all the cellular context that provides) while microarrays work in vitro with purified proteins. Y2H can miss membrane protein interactions; microarrays may detect non-physiological binding.
When you need to know not just that proteins interact but where they touch, these techniques provide structural insights into interaction interfaces.
Compare: XL-MS vs. TAP-MS—both use mass spectrometry for identification, but TAP focuses on what proteins interact while XL-MS reveals how they interact structurally. XL-MS is your go-to when the question asks about interaction surfaces or protein complex architecture.
| Concept | Best Examples |
|---|---|
| Affinity-based capture | Co-IP, Pull-Down, TAP |
| Live-cell detection | FRET, BRET, Y2H |
| Quantitative kinetics | SPR |
| High-throughput screening | Y2H, Protein Microarrays |
| Spatial/structural information | PLA, XL-MS |
| Label-free detection | SPR |
| Single-molecule sensitivity | PLA |
| Native complex isolation | Co-IP, TAP |
Which two techniques both rely on energy transfer to detect protein proximity, and what is the key difference in their excitation source?
You need to determine the binding affinity () between two purified proteins. Which technique provides this kinetic data, and why wouldn't FRET be your first choice?
Compare and contrast Co-IP and Pull-Down assays: what does each require as a "bait," and which better reflects native cellular conditions?
A researcher wants to visualize where in a tissue section two proteins interact. Which technique provides both detection sensitivity and spatial information?
You've identified a protein complex using TAP-MS but need to determine which domains of the proteins are in contact. What complementary technique would you use, and what type of data would it provide?