TU Darmstadt / ULB / TUprints

Mass Spectrometry-Based Proteomics Approach Characterizes the Dual Functionality of miR-328 in Monocytes

Saul, Meike J. ; Hegewald, Anett B. ; Emmerich, Anne C. ; Ossipova, Elena ; Vogel, Marc ; Baumann, Isabell ; Kultima, Kim ; Lengqivst, Johan ; Steinhilber, Dieter ; Jakobsson, Per Johan (2019):
Mass Spectrometry-Based Proteomics Approach Characterizes the Dual Functionality of miR-328 in Monocytes.
In: Frontiers in Pharmacology, 10, Frontiers, ISSN 1663-9812,
[Article]

[img]
Preview
Text
saul.pdf
Copyright Information: CC BY 4.0 International - Creative Commons, Attribution.

Download (3MB) | Preview
Item Type: Article
Origin: Secondary publication via sponsored Golden Open Access
Title: Mass Spectrometry-Based Proteomics Approach Characterizes the Dual Functionality of miR-328 in Monocytes
Language: English
Abstract:

MicroRNAs (miRs) are small noncoding RNAs which control the expression of target genes by either translational repression or RNA degradation, known as canonical miR functions. The recent discovery that miR-328 has a noncanonical function and can activate gene expression by antagonizing the activity of heterogeneous ribonuclear protein E2 (hnRNP E2) opens an unexplored and exciting field of gene expression regulation. The global importance of such noncanonical miR function is not yet known. In order to achieve a better understanding of the new miR activity, we performed a compartment specific tandem mass tag (TMT)-based proteomic analysis in differentiated MonoMac6 (MM6) cells, to monitor gene expression variations in response to miR-328 knockdown. We identified a broad spectrum of novel potential miR-328/hnRNP E2 and miR-328 targets involved in regulation of compartment specific cellular processes, such as inflammation or RNA splicing. This study provides first insights of the global significance of noncanonical miR function.

Journal or Publication Title: Frontiers in Pharmacology
Volume of the journal: 10
Place of Publication: Darmstadt
Publisher: Frontiers
Classification DDC: 500 Naturwissenschaften und Mathematik > 570 Biowissenschaften, Biologie
Divisions: 10 Department of Biology > Synthetic Genetic Circuits
Date Deposited: 12 Jul 2019 13:28
Last Modified: 13 Dec 2022 10:25
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-88629
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/8862
PPN:
Export:
Actions (login required)
View Item View Item