Please use this identifier to cite or link to this item: doi:10.22028/D291-44721
Title: Expanding the immune-related targetome of miR-155-5p by integrating time-resolved RNA patterns into miRNA target prediction
Author(s): Hart, Martin
Diener, Caroline
Rheinheimer, Stefanie
Kehl, Tim
Keller, Andreas
Lenhof, Hans-Peter
Meese, Eckart
Language: English
Title: RNA Biology
Volume: 22
Issue: 1
Pages: 1-9
Publisher/Platform: Taylor & Francis
Year of Publication: 2025
Free key words: miR-155-5p
CD4+ T cell activation
target prediction
time-resolved RNA patterns
miRnomics
transcriptomics
DDC notations: 004 Computer science, internet
610 Medicine and health
Publikation type: Journal Article
Abstract: The lack of a sufficient number of validated miRNA targets severely hampers the understanding of their biological function. Even for the well-studied miR-155-5p, there are only 239 experimentally validated targets out of 42,554 predicted targets. For a more complete assessment of the immune-related miR-155 targetome, we used an inverse correlation of time-resolved mRNA profiles and miR-155-5p expression of early CD4+ T cell activation to predict immune-related target genes. Using a high-throughput miRNA interaction reporter (HiTmIR) assay we examined 90 target genes and confirmed 80 genes as direct targets of miR-155-5p. Our study increases the current number of verified miR-155-5p targets approximately threefold and exemplifies a method for verifying miRNA targetomes as a prerequisite for the analysis of miRNA-regulated cellular networks.
DOI of the first publication: 10.1080/15476286.2025.2449775
URL of the first publication: https://doi.org/10.1080/15476286.2025.2449775
Link to this record: urn:nbn:de:bsz:291--ds-447219
hdl:20.500.11880/39818
http://dx.doi.org/10.22028/D291-44721
ISSN: 1555-8584
1547-6286
Date of registration: 19-Mar-2025
Description of the related object: Supplemental data
Related object: https://ndownloader.figstatic.com/articles/28142778/versions/1
Faculty: M - Medizinische Fakultät
MI - Fakultät für Mathematik und Informatik
Department: M - Humangenetik
M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
MI - Informatik
Professorship: M - Univ.-Prof. Dr. Andreas Keller
M - Prof. Dr. Eckart Meese
MI - Prof. Dr. Hans-Peter Lenhof
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes



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