Basic Information

Symbol
hsa-let-7i
RNA class
miRNA miRNA hairpin
Alias
MIRLET7I MicroRNA Let-7i Hsa-Let-7i-5p Hsa-Let-7i-3p Hsa-Let-7i MIRNLET7I Hsa-Let-7-P2c2_pre MIMAT0004585 MIMAT0000415 MI0000434 Let-7i LET7I
Location (GRCh38)
12:62603686-62603769
UCSC Genome Browser Search in Marker Scope
Forensic tag(s)
Tissue/body fluid identification Sudden cardiac death diagnosis
External database
HGNC NCBI Ensembl OMIM miRBase RNAcentral

Sequence & Structure

Transcript ID
hsa-let-7i
Sequence length
84 nt
GC content
0.5357

Secondary Structure

Generated by RNAfold
Minimum free energy (MFE) structure:
Secondary structure that contributes a minimum of free energy.
Ensemble properties:
Thermodynamic properties of the Boltzmann ensemble.
Minimum free energy
-39.70 kcal/mol
Thermodynamic ensemble
Free energy: -41.03 kcal/mol
Frequency: 0.1160
Diversity: 5.28
MFE Structure Visualization
Structure Prediction
MFE Structure Prediction
.((((.(((((((((((((((((.(((((.(((((.........)))))))........))).)))))))))))))))))))))
Thermodynamic Ensemble Prediction
.{(((.(((((((((((((((((.(((({.(((((.........)))))}}.......}))).))))))))))))))))))))}
Forensic Context

A study in severely injured human patients identified 69 differentially expressed microRNAs, with the let-7i showing direct correlations with arterial blood gas HCO3 and base deficit [Uhlich et al. DOI:10.1016/j.surg.2014.06.017]. In young human patients with acute coronary syndrome, the let-7i was significantly down-regulated in ST-segment elevation myocardial infarction and demonstrated high discriminatory power as a diagnostic marker [Tong et al. DOI:10.3390/ijms19051467]. A study in human body fluid stains demonstrated that the let-7i serves as a stable endogenous reference for normalization in RT-qPCR assays, showing resilience across various compromising treatments including heat, UV, chemicals, and environmental exposure [Layne et al. DOI:10.1111/1556-4029.14113]. Further developmental validation in humans confirmed its utility within a six-miRNA panel, where normalization using the let-7i and let-7g enabled a quadratic discriminant analysis model to classify seven forensically relevant body fluids with 93.3% overall accuracy [Rhodes et al. DOI:10.2692].