Basic Information

Symbol
MUCL1
RNA class
mRNA
Alias
Mucin Like 1 SBEM Small Breast Epithelial Mucin Mucin-Like Protein 1 Protein BS106
Location (GRCh38)
Forensic tag(s)
Wound age identification

MANE select

Transcript ID
NM_058173.3
Sequence length
485.0 nt
GC content
0.4701

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
-119.70 kcal/mol
Thermodynamic ensemble
Free energy: -129.18 kcal/mol
Frequency: 0.0000
Diversity: 88.57
MFE Structure Visualization
Structure Prediction
MFE Structure Prediction
((((....((((......)))).....(((((........)))))....((.((((((((....))).))))).)).(((((((..((((..(((((((.(((((((((.((((((.......))))))........((((((...))))))....(((.((((...))))...))).))))..))))).)))))....)).))))..)))))))........(((.....)))(((..........))).....))))...........(((((((((((((......)))))((((....)))).((((((.((......(((((.(((.((...((.((((((((((....((((.........(((....)))........))))....))))))))))))...)).))).)))))...)).))))))...............(((((((......))))))).......))))))))...
Thermodynamic Ensemble Prediction
((((....((((......))))...{.(((((........)))))....((.((((((((....))).))))).)).,((((((..((((..{{..(((.(((({{(((.((((((.......))))))........((((((...))))))....,...,(((|..,}}}....))))..))))))))))).}}.,..,..))))..)))))|{{{.....}|||.....||}{({..........))).....}))},,.........(((((((((((((......)))))((((....)))).((((((.((..,...(((((.(((.((...((.(((((((((({{.,((({.....{...,{({,..,,},,)}}}}.))),....))))))))))))...)).))).)))))...)).))))))...............{((((((......,}}}))),,,,,,.))))))))...

Transcripts

ID Sequence Length GC content
AGCGCCUUGCCUUCUCUUAGGCUUUGAAGCAUUUUUGUCUGUGCUCCCU… 485 nt 0.4701
Summary

Predicted to be located in Golgi lumen and plasma membrane. [provided by Alliance of Genome Resources, Jul 2025]

Forensic Context

A study in human skin identified the MUCL1 as a marker expressed in the sweat gland cluster within wound-edge tissues using spatial transcriptomic sequencing [Liu et al. DOI:10.1016/j.stem.2024.11.013].