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Arimura, S.

Publications and source records attributed to Arimura, S..

2 recordsLinked to original sources

Uracil/guanine mismatches trigger MutS HOMOLOG1-dependent mitochondrial DNA double-strand breaks in Arabidopsis

Angiosperm mitochondrial genomes exhibit exceptionally low nucleotide substitution rates, likely supported by active homologous recombination-mediated repair, while maintaining genome integrity by suppressing illegitimate recombination between imperfectly matched sequences that could otherwise cause deleterious structural rearrangements. The nuclear-encoded MutS HOMOLOG1 (MSH1) protein has been proposed to help resolve this paradox by recognizing mismatches and promoting DNA double-strand break-associated repair responses that suppress both point mutations and illegitimate recombination. However, direct experimental evidence for this proposed activity of MSH1 has been lacking. Here, we demonstrate that targeted base editing using a mitochondrial TALE-cytidine deaminase fusion (mitoTALECD) in Arabidopsis mitochondria induces deletions at the redundant gene atp6-2. These deletions phenocopy those generated by mitochondria-targeted TALEN (mitoTALEN) cleavage at the same locus. Notably, deletion events that encompass the base-editing target site were markedly reduced in msh1 mutant backgrounds, indicating that functional MSH1 promotes their formation. In vitro assays further demonstrated that recombinantly expressed MSH1 efficiently recognizes U:G mismatches derived from deoxycytidine-to-deoxyuridine deamination events and performs coordinated double incisions, thereby generating staggered dsDNA breaks with short 3' overhangs. Together, these findings provide direct experimental support for the long-postulated role of MSH1: the induction of mismatch-triggered DNA double-strand breaks. This MSH1 activity likely promotes the repair of mismatched bases and prevents illegitimate recombination by rejecting annealing between imperfect repeat sequences, thereby helping maintain the characteristic mutational stasis and recombinational dynamics of angiosperm mitochondrial genomes.

Plant Biology↗

Drivers of Transcriptional Variance in Human Intestinal Epithelial Organoids

Background & AimsHuman intestinal epithelial organoids (enteroids and colonoids) are tissue cultures used for understanding the physiology of the intestinal epithelium. Here, we explored the effect on the transcriptome of common variations in culture methods, including extracellular matrix substrate, format, tissue segment, differentiation status, and patient heterogeneity. MethodsRNA-sequencing datasets from 251 experiments performed on 35 human enteroid and colonoid lines from 28 patients were aggregated from several groups in the Texas Medical Center. DESeq2 and Gene Set Enrichment Analysis (GSEA) was used to identify differentially expressed genes and enriched of pathways. ResultsPERMANOVA, Pearson correlations, and dendrogram analysis of all data indicated three tiers of influence of culture methods on transcriptomic variation: substrate (collagen vs. Matrigel) and format (3D, transwell, and monolayer) had the largest effect (7,271-1,305 differentially expressed genes-DEGs); segment of origin (duodenum, jejunum, ileum, colon) and differentiation status had a moderate effect (5,977-420 DEGs), and patient heterogeneity and specific experimental manipulations (e.g., pathogen infection) had the smallest effect. GSEA identified hundreds of pathways that varied between culture methods, such as IL1 cytokine signaling enriched in transwell vs. monolayer cultures, and cholesterol biosynthesis genes enriched in Matrigel vs. collagen cultures. ConclusionsSurprisingly large differences in organoid transcriptome were driven by variations in culture methods such as format and substrate, whereas experimental manipulations such as infection had modest effects. These results show that common variations in culture conditions can have large effects on intestinal organoids and should be accounted for when designing experiments and comparing results between laboratories. Our data constitute the largest RNA-seq dataset interrogating human intestinal organoids.

molecular biology↗