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Kumagai, A.

Publications and source records attributed to Kumagai, A..

2 recordsLinked to original sources

Dynamic regulation of endogenous transcription factor hubs at single-molecule resolution

Eukaryotic transcription factors (TFs) form local, high-concentration hubs at specific genomic loci through dynamic, multivalent protein-protein interactions mediated by their low-complexity domains. The hub formation behavior plays an essential role in TFs transcriptional activation activities. Characterizing the dimensions, dynamics, and regulation of TF hubs requires high-resolution imaging of TFs in their native cellular environment, but much of such biophysical characterization remains missing. Here, we combined CRISPR/Cas9-mediated genome editing and advanced quantitative cell imaging, including single-molecule microscopy, to investigate the dynamic behaviors of the endogenous oncogenic fusion TF EWS::FLI1 in Ewing sarcoma cells. We found that endogenous EWS::FLI1 forms dynamic, sub-diffraction-limit hubs with mechanisms of dissolution that prevent the hubs from achieving macroscopic liquid-liquid phase separation. Hub formation is a neomorphic behavior of EWS::FLI1 that is not directly conferred by its parental proteins, EWSR1 and FLI1. We found that during mitosis, EWS::FLI1 hubs dissolve, but EWS::FLI1 molecules continue to dynamically bind and unbind mitotic chromosomes, revealing a role of EWS::FLI1 in mitotic bookmarking. Nascent RNA destabilizes EWS::FLI1 hubs on chromatin, but it does not affect the dimensions of the hubs. Finally, we visualized endogenous EWS::FLI1 hubs upon treatment with various compounds that were previously indicated to affect EWS::FLI1 function. We found that LY2835219 and trabectedin significantly alter the nuclear distribution of endogenous EWS::FLI1, disrupting and mislocalizing EWS::FLI1 hubs, respectively. This finding highlights the therapeutic potential of both compounds for Ewing sarcoma. Together, our results reveal new insights into the assembly and regulation of endogenous EWS::FLI1 hubs at an unprecedented resolution. The methodology developed here will be useful for characterizing the functional hubs of many regular and pathological TFs in the future.

biophysics↗

Validation of morphological ear classification devised by principal component analysis using three-dimensional images for human identification

This study attempts to classify ear morphology for human identification in forensic investigations by distinguishing between the upper auricle and lobule areas. A three-dimensional homologous model of the ear was created using 414 ear images of males aged 17-93 years reconstructed from computed tomography scans of forensic autopsy cases. Morphological changes were visualized using principal component analysis and areas of significant individual differences within the entire ear were identified. The classification criterion images for the upper auricle (ten images) and lobule (12 images) were developed by combining multiple principal component values: components 1-5 for the upper auricle and 1-6 for the lobule. Three-dimensional ear images of the upper auricle and lobule areas from 414 subjects were categorized using a measurement method based on the minimum distance between 5,507 corresponding points. The results indicate the applicability of the criterion images for the morphological classification of ears in this study.

pathology↗