Characterization of m6A modifiers and RNA modifications in uterine fibroids.
Jitu W GeorgeRosa A CancinoJennifer L Griffin MillerFang QiuQishan LinM Jordan RowleyVarghese M ChennathukuzhiJohn S DavisPublished in: Endocrinology (2024)
Uterine leiomyoma or fibroids are prevalent noncancerous tumors of the uterine muscle layer, yet their origin and development remain poorly understood. We analyzed RNA expression profiles of 15 epigenetic mediators in uterine fibroids compared to myometrium using publicly available RNA-seq data. To validate our findings, we performed RT-qPCR on a separate cohort of uterine fibroids targeting these modifiers confirming our RNA-seq data. We then examined protein profiles of key N6-methyladenosine (m6A) modifiers in fibroids and their matched myometrium, showing no significant differences in concordance with our RNA expression profiles. To determine RNA modification abundance, mRNA and small RNA from fibroids and matched myometrium were analyzed by UHPLC MS/MS identifying prevalent m6A and 11 other known modifiers. However, no aberrant expression in fibroids was detected. We then mined a previously published dataset and identified differential expression of m6A modifiers that were specific to fibroid genetic sub-type. Our analysis also identified m6A consensus motifs on genes previously identified to be dysregulated in uterine fibroids. Overall, using state-of-the-art mass spectrometry, RNA expression and protein profiles, we characterized and identified differentially expressed m6A modifiers in relation to driver mutations. Despite the use of several different approaches, we identified limited differential expression of RNA modifiers and associated modifications in uterine fibroids. However, considering the highly heterogenous genomic and cellular nature of fibroids, and the possible contribution of single molecule m6A modifications to fibroid pathology, there is a need for greater in-depth characterization of m6A marks and modifiers in a larger and diverse patient cohort.
Keyphrases
- rna seq
- pregnancy outcomes
- ms ms
- single cell
- single molecule
- mass spectrometry
- poor prognosis
- nucleic acid
- binding protein
- gene expression
- pregnant women
- dna methylation
- machine learning
- skeletal muscle
- electronic health record
- systematic review
- randomized controlled trial
- liquid chromatography
- protein protein
- cancer therapy
- small molecule
- long non coding rna
- deep learning
- high resolution
- tandem mass spectrometry
- high resolution mass spectrometry