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Method Article

Detection of miRNA Targets in High-throughput Using the 3'LIFE Assay

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DOI:

10.3791/52647

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May 25th, 2015

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In This Article

Summary

Luminescent identification of functional elements in 3’ untranslated regions (3’UTRs) (3’LIFE) is a technique to identify functional regulation in 3’UTRs by miRNAs or other regulatory factors. This protocol utilizes high-throughput methodology such as 96-well transfection and luciferase assays to screen hundreds of putative interactions for functional repression.

Abstract

Luminescent Identification of Functional Elements in 3’UTRs (3’LIFE) allows the rapid identification of targets of specific miRNAs within an array of hundreds of queried 3’UTRs. Target identification is based on the dual-luciferase assay, which detects binding at the mRNA level by measuring translational output, giving a functional readout of miRNA targeting. 3’LIFE uses non-proprietary buffers and reagents, and publically available reporter libraries, making genome-wide screens feasible and cost-effective. 3’LIFE can be performed either in a standard lab setting or scaled up using liquid handling robots and other high-throughput instrumentation. We illustrate the approach using a dataset of human 3’UTRs cloned in 96-well plates, and two test miRNAs, let-7c and miR-10b. We demonstrate how to perform DNA preparation, transfection, cell culture and luciferase assays in 96-well format, and provide tools for data analysis. In conclusion 3'LIFE is highly reproducible, rapid, systematic, and identifies high confidence targets.

Introduction

The overall goal of this method is to detect and precisely map microRNA (miRNA) targets in high-throughput. MiRNAs are endogenous non-coding RNAs ~22 nucleotides in length. Following transcription and processing, mature miRNAs are incorporated in a protein complex called the RNA induced silencing complex (RISC). Each miRNA guides the RISC to target elements located primarily in the 3’untranslated regions (3’UTRs) of messenger RNAs (mRNAs), resulting in either translation repression or mRNA cleavage 1. MiRNA recognize target sites based on standard Watson-Crick and G:U wobble base pairing, and are degenerate in nature, containing multiple mismatc....

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Protocol

1. Cell Culture (24-48 hr prior to transfection)

  1. 24-48 hr prior to transfection seed a sufficient quantity of HEK293T cells based on the number of 96-well plates being transfected.
    NOTE: For consistent transfections, plate cells at a sufficient density to favor rapid division, yet not be at more than 70-90% confluency at the time of transfection.
  2. Each 96-well plate requires 9 x 106 cells (75,000 cells per well, and 120 wells per plate to account for use of reservoir and multichannel pipette). Calculate the doubling time of HEK293 cells (typically ~20 hr), and seed the appropriate number of cells to obtain at least 9 x 10

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Results

The luminometer output file contains raw measurements for both firefly and Renilla luciferase proteins. This raw format is compatible with the “3’LIFE – single plate analysis” and “3’LIFE – multiplate analysis” spreadsheets available from the Mangone lab website (www.mangonelab.com). The single plate analysis spreadsheet automatically calculates firefly/Renilla ratio, normalizes each miRNA to the appropriate negative control, and normalizes repression values acro.......

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Discussion

The 3’LIFE assay identifies functional miRNA targets in 3’UTRs in high-throughput. This assay is useful for researchers who wish to experimentally identify a large number of putative targets for their miRNA of interest. The 3’LIFE assay is a powerful approach to query for 3’UTR driven regulation, in that the assay provides a functional measure of miRNA targeting, and the binary testing of a single reporter::3’UTR against a single miRNA can confidently address the targeting status of individu.......

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Disclosures

This work is supported by funds from the College of Liberal Arts and Science and the Biodesign Institute at Arizona State University and NIH Exploratory/Developmental Research Grant 1R21CA179144-01A1.

Acknowledgements

We thank Stephen Blazie, Karen Anderson, Josh LaBaer for advice and discussion. Karen Anderson, John Chaput, and Josh LaBaer for sharing reagents and instrumentation, Michael Gaskin and Andrea Throop for technical advise and protocols. Justin Wolter is a Maher scholar and thanks the Maher family for their generous support.

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
Reagents
glycylglycineSigmaG1127-25G
Kx PO4SigmaP2222
EGTASigmaE3889
ATPSigmaFLAAS
DTTSigmaD0632
MgSO4SigmaM7506
CoASigmaC4282
luciferinSigmaL9504
NaClSigmaS7653
Na2EDTASigmaE0399
K H2 P O4Sigma1551139
BSASigmaA2153
NaN3SigmaS2002
CoelenterazineSigmaC3230
PBS/HEPESCorning21-040-CV
DMEMSigmaD5546
FBSSigmaF2442
Pennicilin/StreptomicinSigmaP4333
TrypsinT2600000
Consumables
MaxiPrep KitPromegaA2392
96-well miniprep platePall8032
96-well shuttle platesLonzaV4SP-2096
5x Lysis BufferPromegaE1941 
Instruments
96-well GloMax Plate ReaderPromegaE9032
Biomech FX Liquid Handler RobotBeckmannA31842
4D-Nucleofector Core UnitLonzaAAF-1001
96-well Shuttle SystemLonzaAAM-1001
Cell Counter CountessInvitrogenC10227

References

  1. Bartel, D. P. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell. 116 (2), 281-297 (2004).
  2. Pasquinelli, A. E., et al. Conservation of the sequence and temporal expression of let-7 heterochronic regulatory RNA. Nature. 408 (680....

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