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;...,
For a detailed description of the surgical methods, the disease model, the protocol for in vivo imaging of a mouse kidney longitudinally through an implanted abdominal imaging window, we redirect readers to the linked preprint article. More specifically, the Materials and Methods section and Fig.1 provide a detailed descriptive and visual overview of the experimental protocol. 

Details of the imaging protocol are described both in the associated preprint article and in the data descriptors (ReadMe) files associated with each dataset. 

In addition, we provided the analytical codeset used to process quantitative information and generate the results presented in the associated study on zenodo (https://zenodo.org/record/7892132)., Individual imaging files are provided in tiff format. We recommend users to open the images and navigate through the dataset using the free software FIJI (doi:10.1038/nmeth.2019).