Imaging dataset from: Longitudinal tracking of acute kidney injury reveals injury propagation along the nephron

<div> <span><span>Acute kidney injury (AKI) is a risk factor for chronic kidney disease (CKD), but the cellular mechanisms leading to i</span><span>m</span><span>paired tubular recovery and </span><span>subsequent</span> <span>AKI-CKD-transition are not yet fully understood. In this study, we combined </span><span>transgenic mice to </span><span>monitor</span><span> proliferation in vivo, </span><span>a novel </span><span>injury </span><span>model of AKI, in which </span><span>ischemia</span></span><span><span>-</span></span><span><span>reperfusion injury </span><span>(IRI) was induced in half of the kidney (partial</span></span><span><span>-</span></span><span><span>IRI), and serial intravital 2-photon imaging via an </span><span>Abdominal I</span><span>maging </span><span>W</span><span>indow (AIW) to track tissue remodeling in post- and non-ischemic kidney regions longitudinally over 3 weeks. Our results and novel findings are presented in the associated pre-print "Longitudinal tracking of acute kidney injury reveals injury propagation along the nephron".</span></span><span> </span> </div> <div> <span><span>In this dataset, we </span><span>provide</span><span> the imaging data which we </span><span>acquired</span><span> during the study.</span><span> Overall, the dataset consists of: #1: serial intravital imaging via 2-photon microscopy and genetic identification of proliferating cells in kidneys undergoing partial IRI; #2: serial intravital imaging via 2-photon microscopy and genetic identification of proliferating cells of control, uninjured kidneys; #3: intravital imaging of kidney epithelial cells during intravenous injection of a fluorescent bolus to determine the identity of tubular segments across the nephron; #4: intravital imaging of </span><span>and genetic identification of proliferating cells </span><span>after selective laser injury of </span><span>S1 </span><span>proximal tubule cells; #5 in vivo and ex-vivo imaging of kidney and kidney slices after VCAM1 staining. The data descriptors </span><span>provide</span><span> detailed guidelines on how to place individual imaging files in the context of the pathophysiological states used in the study.</span></span><span> </span> </div> <div> <span><span>Our goal is to </span><span>provide</span><span> an organize</span><span>d</span> <span>and accessible </span><span>unique and unprocessed </span><span>in vivo imaging dataset </span><span>that </span><span>documents </span></span><span><span>in vivo</span></span><span><span> tubule cell remodeling in </span><span>the mouse kidney </span></span><span><span>longitudinally and</span></span> <span><span>during </span><span>physiological and pathological conditions. Sharing </span><span>of </span><span>th</span><span>is</span><span> dataset </span><span>ensures</span><span> </span><span>reproducing</span><span> and expanding </span><span>of </span><span>our preclinical findings of </span><span>tubule injury and (failed)</span><span> recovery during AKI</span><span>. Furthermore, this dataset may also be </span><span>utilized</span> <span>for teaching purposes, as the combination of fluorescent imaging techniques allow</span><span>s</span><span> the </span><span>detail</span><span>ed</span><span> visualization of</span><span> kidney anatomy and physiology over multiple conditions.</span></span> </div>