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Omics · study · 2026

MRE11 proximal polyadenylation site-mediated looping impacts transcription and genomic stability [RNA-seq]

Listed in NCBI GEO

MRE11, a key regulator in maintaining genome integrity, has two main polyadenylation sites (PAS) in 3’UTR.

Description

There is a ~3 Kb difference between the proximal PAS (pPAS) and the distal PAS (dPAS). Therefore, using the pPAS can result in a ~3 Kb shorter MRE11 transcript which lacks a significant number of regulatory motifs in the 3’UTR.

Analysis of the Cancer Genome Atlas revealed (10/160) mutations in MRE11 3’UTR, and intriguingly all these mutations are localized in pPAS. We observed that deletion of pPAS (~150 bp) using CRISPR caused ~50% reduction of MRE11 protein and mRNA. We hypothesize that pPAS regulates transcription of the MRE11 gene via ‘DNA looping’ where this cis element in the 3’UTR regulates the canonical MRE11 promoter.

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MRE11 hypomorphism in AT-like deficiency (ATLD) cells is well characterized, and MRE11pPAS-/- phenocopy these cells. Cell cycle analysis revealed that MRE11pPAS-/- cells grow slower with increased proportion of cells in the S/G2 phase with a concurrent decrease in the G0/G1 population. The most intriguing phenotype was in the context of G1/S checkpoint.

Overgrown wild-type RPE1 cells when confluent exit the cell cycle and stop replicating. In contrast, MRE11pPAS-/- cells continued replicating leading to rapid cell death. Next, we systematically synchronized cells in G0/G1, and observed that EdU labeling in these G0/G1-paused cells shows increased BrdU+ population only in MRE11pPAS-/- cells.

Induction of MRE11 in MRE11pPAS-/- cells can ‘rescue’ the ectopic replication of confluent cells, confirming that the phenotype is indeed due to reduced MRE11 expression. This suggests that optimal MRE11 is necessary for preventing unlicensed DNA replication in completely distinct scenarios. Our study highlights the importance of the 3’UTR in transcriptional regulation of MRE11 and its profound impact on genomic stability and cell growth.

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From keywords
Life Sciences
Inferred from text
Cancer 75% · RNA sequencing 65%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE26757913 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[disease].local:disease:cancerenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[modality].local:modality:rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (65%)
concepts[organism].NCBITaxon:9606source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title