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Imaging dataset 04 for mtFociCounter

<p>This is the fourth dataset associated with&nbsp;the updated manuscript on mtFociCounter.</p> <p>Images are Spinning Disk Confocal Images of unsorted U2OS cells treated with siRNA against TFAM (siTFAM) or neutral siRNA (siNT). Cells were stained with antibodies against tom20 (<strong>mitochondria</strong>) and against dsDNA (<strong>nucleoids</strong>).<br> The second folder contains SIM2 images acquired on an Elyra7 microscope of 3t3 wild-type fibroblasts, which express <strong>mitochondrially&nbsp;</strong>targeted dsRed, and are stained by&nbsp;immunofluorescence against dsDNA (<strong>nucleoids</strong>) and AlexaFluor 647, as well as Hoecst for&nbsp;<strong>nuclei</strong>.</p> <p>This repository&nbsp;contains all data necessary to reproduce the analysis of siTFAM and 3t3-superresolution, as described in the manuscript.&nbsp;The dataset&nbsp;contains the following data:</p> <p>U2OS treated with siTFAM or neutral (WT):<br> 20210212 siTFAM vs. siNT<br> 20210217 siTFAM vs. siNT<br> 20210222 siTFAM vs. siNT</p> <p>3t3 WT fibroblasts images by Elyra7 SIM2:<br> 20221221<br> 20230118<br> 20230120</p> <p><br> The third folder contains images from Spinning Disk Confocal Images of unsorted U2OS cells. Cells were stained with antibodies against tom20 (mitochondria) and against FASTKD2 (MRGs).<br> The fourth folder contains raw Western Blot and Coomassie staining images from unsorted U2OS cells treated with a neutral siRNA or an siRNA against TFAM for 3 days. Antibodies against tubulin, TFAM or pre-TFAM were used, as indicated.</p> <p>This repository contains all data necessary to reproduce the analysis of MRG numbers or TFAM knockdown assessment, as described in the manuscript.</p> <p>U2OS WT cells:<br> 20230429 FASTKD2<br> 20230505 FASTKD2<br> 20230505 FASTKD2<br> <br> For details of the experimental procedure, please refer to the accompanying manuscript, which will soon be made available on BioRxiv.</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4