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Short-lived AUF1 p42-binding mRNAs of RANKL and BCL6 have two distinct instability elements each
- Source :
- PloS one, vol. 13, no. 11, pp. e0206823, PLoS ONE, PLoS ONE, Vol 13, Iss 11, p e0206823 (2018), PLoS ONE, 13 (11)
- Publication Year :
- 2018
- Publisher :
- Public Library of Science (PLoS), 2018.
-
Abstract
- Regulation of mRNA stability by RNA-protein interactions contributes significantly to quantitative aspects of gene expression. We have identified potential mRNA targets of the AU-rich element binding protein AUF1. Myc-tagged AUF1 p42 was induced in mouse NIH/3T3 cells and RNA-protein complexes isolated using anti-myc tag antibody beads. Bound mRNAs were analyzed with Affymetrix microarrays. We have identified 508 potential target mRNAs that were at least 3-fold enriched compared to control cells without myc-AUF1. 22.3% of the enriched mRNAs had an AU-rich cluster in the ARED Organism database, against 16.3% of non-enriched control mRNAs. The enrichment towards AU-rich elements was also visible by AREScore with an average value of 5.2 in the enriched mRNAs versus 4.2 in the control group. Yet, numerous mRNAs were enriched without a high ARE score. The enrichment of tetrameric and pentameric sequences suggests a broad AUF1 p42-binding spectrum at short U-rich sequences flanked by A or G. Still, some enriched mRNAs were highly unstable, as those of TNFSF11 (known as RANKL), KLF10, HES1, CCNT2, SMAD6, and BCL6. We have mapped some of the instability determinants. HES1 mRNA appeared to have a coding region determinant. Detailed analysis of the RANKL and BCL6 3’UTR revealed for both that full instability required two elements, which are conserved in evolution. In RANKL mRNA both elements are AU-rich and separated by 30 bases, while in BCL6 mRNA one is AU-rich and 60 bases from a non AU-rich element that potentially forms a stem-loop structure.<br />PLoS ONE, 13 (11)<br />ISSN:1932-6203
- Subjects :
- 0301 basic medicine
selective degradation
Microarrays
RNA Stability
mammalian-cells
lcsh:Medicine
binding protein auf1
Biochemistry
negative feedback loop
Database and Informatics Methods
Mice
hnrnp-d
Gene expression
Macromolecular Structure Analysis
Protein Isoforms
Coding region
3' Untranslated Regions/genetics
AU Rich Elements/genetics
Animals
Binding Sites/genetics
HEK293 Cells
Heterogeneous-Nuclear Ribonucleoprotein D/genetics
Heterogeneous-Nuclear Ribonucleoprotein D/metabolism
Humans
NIH 3T3 Cells
Oligonucleotide Array Sequence Analysis
Protein Isoforms/genetics
Protein Isoforms/metabolism
Proto-Oncogene Proteins c-bcl-6/genetics
Proto-Oncogene Proteins c-bcl-6/metabolism
RANK Ligand/genetics
RANK Ligand/metabolism
RNA Stability/genetics
RNA, Messenger/genetics
RNA, Messenger/metabolism
Heterogeneous-Nuclear Ribonucleoprotein D
lcsh:Science
3' Untranslated Regions
Multidisciplinary
Chemistry
Messenger RNA
b-cell lymphoma
Cell biology
Nucleic acids
Bioassays and Physiological Analysis
Proto-Oncogene Proteins c-bcl-6
rich element
DNA microarray
Sequence Analysis
sequence features
Research Article
Protein Structure
Bioinformatics
Sequence Databases
Sequence alignment
Research and Analysis Methods
03 medical and health sciences
Sequence Motif Analysis
Heterogeneous Nuclear Ribonucleoprotein D0
RNA, Messenger
Molecular Biology
DNA sequence analysis
AU Rich Elements
Binding Sites
Biology and life sciences
Three prime untranslated region
lcsh:R
RANK Ligand
HEK 293 cells
Proteins
RNA
Biological Databases
030104 developmental biology
lcsh:Q
Protein Structure Networks
tumor-necrosis-factor
Sequence Alignment
genome-wide analysis
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 13
- Database :
- OpenAIRE
- Journal :
- PLOS ONE
- Accession number :
- edsair.doi.dedup.....bbbd5b96a862ac88106cc064ec8ea733
- Full Text :
- https://doi.org/10.1371/journal.pone.0206823