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A Multimodal and Integrated Approach to Interrogate Human Kidney Biopsies with Rigor and Reproducibility: Guidelines from the Kidney Precision Medicine Project
Physiological Genomics  (IF3.107),  Pub Date : 2020-11-16, DOI: 10.1152/physiolgenomics.00104.2020
Tarek M. El-Achkar, Michael T Eadon, Rajasree Menon, Blue B. Lake, Tara K. Sigdel, Theodore Alexandrov, Samir Parikh, Guanshi Zhang, Dejan Dobib, Kenneth W. Dunn, Edgar A. Otto, Christopher R. Anderton, Jonas M. Carson, Jinghui Luo, Chris Park, Habib Hamidi, Jian Zhou, Paul Hoover, Andrew Schroeder, Marianinha Joanes, Evren U. Azeloglu, Rachel Sealfon, Seth Winfree, Becky Steck, Yongqun He, Vivette Denise D'Agati, Ravi Iyengar, Olga G Troyanskaya, Laura Barisoni, Joseph Gaut, Kun Zhang, Zoltan Laszik, Brad Rovin, Pierre C Dagher, Kumar Sharma, Minnie Sarwal, Jeffrey B. Hodgin, Charles E. Alpers, Matthias Kretzer, Sanjay Jain, For the Kidney Precision Medicine Project

Comprehensive and spatially mapped molecular atlases of organs at a cellular level are a critical resource to gain insights into pathogenic mechanisms and personalized therapies for diseases. The Kidney Precision Medicine Project (KPMP) is an endeavor to generate 3-dimensional (3D) molecular atlases of healthy and diseased kidney biopsies using multiple state-of-the-art OMICS and imaging technologies across several institutions. Obtaining rigorous and reproducible results from disparate methods and at different sites to interrogate biomolecules at a single cell level or in 3D space is a significant challenge that can be a futile exercise if not well controlled. We describe a "follow the tissue" pipeline for generating a reliable and authentic single cell/region 3D molecular atlas of human adult kidney. Our approach emphasizes quality assurance, quality control, validation and harmonization across different OMICS and imaging technologies from sample procurement, processing, storage, shipping to data generation, analysis and sharing. We established benchmarks for quality control, rigor, reproducibility and feasibility across multiple technologies through a pilot experiment using common source tissue that was processed and analyzed at different institutions and different technologies. A peer review system was established to critically review quality control measures and the reproducibility of data generated by each technology before being approved to interrogate clinical biopsy specimens. The process established economizes the use of valuable biopsy tissue for multi-OMICS and imaging analysis with stringent quality control to ensure rigor and reproducibility of results and serves as a model for precision medicine projects across laboratories, institutions and consortia.