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

Acute kidney injury (AKI) is a risk factor for chronic kidney disease
(CKD), but the cellular mechanisms leading to impaired tubular recovery
and subsequent AKI-CKD-transition are not yet fully understood. In this
study, we combined transgenic mice to monitor proliferation in vivo, a
novel injury model of AKI, in which ischemia-reperfusion injury (IRI) was
induced in half of the kidney (partial-IRI), and serial intravital
2-photon imaging via an Abdominal Imaging Window (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".  In this dataset, we
provide the imaging data which we acquired during the study. 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 and genetic
identification of proliferating cells after selective laser injury of S1
proximal tubule cells; #5 in vivo and ex-vivo imaging of kidney and kidney
slices after VCAM1 staining. The data descriptors provide detailed
guidelines on how to place individual imaging files in the context of the
pathophysiological states used in the study.  Our goal is to
provide an organized and accessible unique and unprocessed in vivo imaging
dataset that documents in vivo tubule cell remodeling in the mouse kidney
longitudinally and during physiological and pathological
conditions. Sharing of this dataset ensures reproducing and
expanding of our preclinical findings of tubule injury and (failed)
recovery during AKI. Furthermore, this dataset may also be utilized for
teaching purposes, as the combination of fluorescent imaging techniques
allows the detailed visualization of kidney anatomy and physiology over
multiple conditions.