title: Dosage and temporal thresholds in microRNA proteomics.
abstract: MicroRNAs (miRNAs) modulate protein and mRNA expression through translational repression and/or mRNA decay. In this study, we combined SILAC-based proteomics and RNAseq to identify primary targets based on measurements of protein and mRNA repression and analysis of transcript 3'UTR sequences. The primary target set was used to compare different prediction algorithms, revealing higher stringency of selection by Targetscan and PITA compared with miRanda, at the expense of higher false negatives. A key finding was that significant and unexpected variations occurred in the kinetics of repression as well as the sensitivity to exogeneous miRNA concentration. Bimodal thresholds were observed, which distinguished responses to low (10 nm) versus high (50-100 nm) miRNA, as well as the onset of repression at early (12-18 h) versus late (36-48 h) times. Similar behavior was seen at the transcript level with respect to kinetics of repression. The differential thresholds were most strongly correlated with ΔΔG, the net free energy of miRNA-target interactions, which mainly reflected inverse correlations with ΔGopen, the free energy of forming 3'UTR secondary structures, at or nearby the miRNA seed matching sites. Thus, our working model is that protein binding or other competitive mechanisms variably interfere with the accessibility of miRISC to the transcript binding site. In addition, biphasic responses were observed in a subset of proteins that were partially down-regulated at early times, and further down-regulated at later times. Taken together, our findings provide evidence for varying modes of miRNA target repression, which lead to different thresholds of target responses with respect to kinetics and concentration, and predict that certain transcripts will show graded responses in sensitivity and fold-change under cellular conditions that lead to varying steady state miRNA levels.
authors.affiliation: From the ‡Department of Chemistry and Biochemistry, §Howard Hughes Medical Institute University of Colorado, Boulder, Colorado 80309.
authors.forename: Thomas
authors.initials: T
authors.lastname: Lee
authors.affiliation: From the ‡Department of Chemistry and Biochemistry, §Howard Hughes Medical Institute University of Colorado, Boulder, Colorado 80309.
authors.forename: Nan
authors.initials: N
authors.lastname: Wang
authors.affiliation: From the ‡Department of Chemistry and Biochemistry, §Howard Hughes Medical Institute University of Colorado, Boulder, Colorado 80309.
authors.forename: Stephane
authors.initials: S
authors.lastname: Houel
authors.affiliation: From the ‡Department of Chemistry and Biochemistry, §Howard Hughes Medical Institute University of Colorado, Boulder, Colorado 80309.
authors.forename: Kasey
authors.initials: K
authors.lastname: Couts
authors.affiliation: From the ‡Department of Chemistry and Biochemistry.
authors.forename: William
authors.initials: W
authors.lastname: Old
authors.affiliation: From the ‡Department of Chemistry and Biochemistry, §Howard Hughes Medical Institute University of Colorado, Boulder, Colorado 80309 natalie.ahn@colorado.edu.
authors.forename: Natalie
authors.initials: N
authors.lastname: Ahn
mesh_terms: D020413:3' Untranslated Regions; D000465:Algorithms; D045744:Cell Line, Tumor; D006801:Humans; D007553:Isotope Labeling; D007700:Kinetics; D035683:MicroRNAs / Q000235:genetics / Q000378:metabolism*; D040901:Proteomics / Q000379:methods*; D012333:RNA, Messenger / Q000235:genetics / Q000378:metabolism; D015203:Reproducibility of Results; D013997:Time Factors
chemical_list: D020413:3' Untranslated Regions; D035683:MicroRNAs; D012333:RNA, Messenger