Volume | Ref # | |
---|---|---|
Opti-MEM Medium | 150uL | 31985062 |
Lipofectamine RNAiMAX Reagent | 9uL | 13778150 |
5 Cell Modification
5.1 siRNA Transfection
This protocol is for 6 well plates. For reagent volumes for smaller well form factors, see here
5.1.1 siRNA Resuspension
- Briefly centrifuge the tube to ensure dried siRNA is at the bottom of the tube
- Dilute siRNA down to \(100 \mu M\) \((100 \frac{pmoles}{\mu L})\) using nuclease-free water
- Aliquot out some of the siRNA
Each well of a 6-well plate takes \(3 \mu L\) of siRNA. Therefore, aliquoting \(12 \mu L\) per tube is good enough for triplicates, plus a little extra for the ‘angel’s share’
- Store at \(\le 20 ^\circ C\)
5.1.2 Performing Transfection
- Split your cells and dilute them with medium to \(200,000\ cells/mL\). You will need \(2mL/well\).
- In 1.5mL eppendorf, prepare the following per well:
- In another 1.5mL eppendorf, prepare the following per well:
Volume | Ref # | |
---|---|---|
Opti-MEM Medium | 150uL | 31985062 |
siRNA (10 uM) | 3uL (30pmol) | varies |
Pipette to mix each tube
Mix siRNA and lipofectamine together in a 1:1 ratio (for a single well, this would be \(150 \mu L\) of each together. You can simply add the siRNA solution to your lipofectamine tube)
Wait \(5\ minutes\). During this time, dispense \(2mL\) of your cell suspension in each well of a 6 well plate.
Add \(250 \mu L\) of mixture to each well.
Gently swirl and rock the plate to ensure even mixing of cells and siRNA particles
Incubate for \(3\ days\). There is no need to change medium.
5.2 Inducible shRNA
Before you begin, ensure that your cell line has not already been optimized.
5.2.1 Optimized cell line data
Cell Line | Seeding density (cells/100uL) | Need serum? | Max polybrene (ug/mL) | Relative transduction efficiency | Optimal puromycin (ug/mL) | Date | Operator |
---|---|---|---|---|---|---|---|
5637 | 7500 | NA | NA | NA | NA | 2021-03-17 | Kai Aragaki |
UC9 | 5000 | NA | NA | NA | NA | 2021-03-17 | Kai Aragaki |
UC6 | 1000 | FALSE | >14 | 0.43 | 2.5 | 2021-04-28 | Kai Aragaki |
RT112 | 3000 | FALSE | >14 | NA | 2.5 | 2021-04-28 | Kai Aragaki |
UC14 | NA | NA | NA | NA | 10.0 | 2022-05-19 | Kai Aragaki |
5.2.2 Optimizing promoter
Generally, we presume the optimal promoter to be PGK. If you find you are getting poor expression of GFP and poor knockdown despite most of the population being positive, you may try performing promoter optimization for this particular cell line.