20.109(S10):Module 1

From OpenWetWare

Jump to: navigation, search
20.109(S10): Laboratory Fundamentals of Biological Engineering

Home        People        Schedule Spring 2010        Assignments        Lab Basics        OWW Basics       
RNA Engineering        Protein Engineering        Cell-Biomaterial Engineering              

Module 1

Instructors: Jacquin Niles and Agi Stachowiak

TA: Christina Birch

In this module you will investigate RNA aptamer selection. You may already be familiar with peptides or proteins, such as antibodies, that bind to specific molecules. Short fragments of RNA – called RNA aptamers - can have secondary structures that also allow them to bind a target molecule with good affinity and specificity. Normally, RNA aptamers that bind particular targets are found by screening many candidates at random in a process called SELEX, or systematic evolution of ligands by exponential enrichment; however, predictive computational tools can also be used. In the coming weeks, you will essentially perform one round of SELEX. Because SELEX typically takes several rounds to isolate target-binding aptamers, you will start with a known aptamer mixture rather than than a completely random library. Your goal will be to explore what experimental parameters affect the enrichment of a heme-binding RNA aptamer from a mixture of heme-binding and non-binding RNAs.

We thank 20.109 instructor Natalie Kuldell for helpful discussions and for acquiring funding for module development.

Structure of a putative aptamer Image was prepared using RNA folding at http://mfold.bioinfo.rpi.edu/
Structure of a putative aptamer Image was prepared using RNA folding at http://mfold.bioinfo.rpi.edu/


Module 1 Day 1: Amplify aptamer-encoding DNA
Module 1 Day 2: Purify aptamer-encoding DNA
Module 1 Day 3: Prepare RNA by IVT
Module 1 Day 4: Purify RNA and run affinity column
Module 1 Day 5: RNA to DNA by RT-PCR
Module 1 Day 6: Post-selection IVT and journal club
Module 1 Day 7: Aptamer binding assay
Module 1 Day 8: Journal club

Laboratory Report
Computational analysis

TA notes, mod 1
Personal tools