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A Multimodal and Integrated Approach to Interrogate Human Kidney Biopsies with Rigor and Reproducibility: The Kidney Precision Medicine Project

View ORCID ProfileTarek M. El-Achkar, Michael T. Eadon, Rajasree Menon, Blue B. Lake, Tara K. Sigdel, View ORCID ProfileTheodore Alexandrov, Samir Parikh, Guanshi Zhang, Dejan Dobi, 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 Azeloglu, Rachel Sealfon, Seth Winfree, Becky Steck, Yongqun He, Vivette 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 Kretzler, Sanjay Jain, For the Kidney Precision Medicine Project
doi: https://doi.org/10.1101/828665
Tarek M. El-Achkar
1Indiana University School of Medicine, Indianapolis, Indiana
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  • For correspondence: telachka@iu.edu sanjayjain@wustl.edu
Michael T. Eadon
1Indiana University School of Medicine, Indianapolis, Indiana
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Rajasree Menon
2University of Michigan School of Medicine, Ann Arbor, Michigan
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Blue B. Lake
3University of California San Diego, Jacobs School of Engineering, San Diego, California
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Tara K. Sigdel
4University of California San Francisco School of Medicine, San Francisco, California
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Theodore Alexandrov
5European Molecular Biology Laboratory, Heidelberg, Germany
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Samir Parikh
6Ohio State University College of Medicine, Columbus, Ohio
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Guanshi Zhang
7UT-Health San Antonio School of Medicine, San Antonio, Texas
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Dejan Dobi
4University of California San Francisco School of Medicine, San Francisco, California
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Kenneth W. Dunn
1Indiana University School of Medicine, Indianapolis, Indiana
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Edgar A. Otto
2University of Michigan School of Medicine, Ann Arbor, Michigan
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Christopher R. Anderton
7UT-Health San Antonio School of Medicine, San Antonio, Texas
8Pacific Northwest National Laboratory, Richland, Washington
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Jonas M. Carson
9University of Washington, Schools of Medicine and Public Health, Seattle, Washington
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Jinghui Luo
2University of Michigan School of Medicine, Ann Arbor, Michigan
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Chris Park
9University of Washington, Schools of Medicine and Public Health, Seattle, Washington
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Habib Hamidi
2University of Michigan School of Medicine, Ann Arbor, Michigan
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Jian Zhou
12Princeton University, Princeton, New Jersey and Flatiron Institute, New York City, New York
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Paul Hoover
10Harvard University School of Medicine, Boston Massachusetts
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Andrew Schroeder
4University of California San Francisco School of Medicine, San Francisco, California
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Marianinha Joanes
4University of California San Francisco School of Medicine, San Francisco, California
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Evren Azeloglu
11Mount Sinai Ichan School of Medicine, New York City, New York
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Rachel Sealfon
12Princeton University, Princeton, New Jersey and Flatiron Institute, New York City, New York
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Seth Winfree
1Indiana University School of Medicine, Indianapolis, Indiana
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Becky Steck
2University of Michigan School of Medicine, Ann Arbor, Michigan
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Yongqun He
2University of Michigan School of Medicine, Ann Arbor, Michigan
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Vivette D’Agati
13Columbia University School of Medicine, New York City, New York
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Ravi Iyengar
11Mount Sinai Ichan School of Medicine, New York City, New York
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Olga G Troyanskaya
12Princeton University, Princeton, New Jersey and Flatiron Institute, New York City, New York
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Laura Barisoni
14Duke University School of Medicine, Durham, North Carolina
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Joseph Gaut
15Washington University in Saint Louis School of Medicine, St. Louis, Missouri
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Kun Zhang
3University of California San Diego, Jacobs School of Engineering, San Diego, California
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Zoltan Laszik
4University of California San Francisco School of Medicine, San Francisco, California
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Brad Rovin
6Ohio State University College of Medicine, Columbus, Ohio
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Pierre C. Dagher
1Indiana University School of Medicine, Indianapolis, Indiana
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Kumar Sharma
7UT-Health San Antonio School of Medicine, San Antonio, Texas
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Minnie Sarwal
4University of California San Francisco School of Medicine, San Francisco, California
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Jeffrey B. Hodgin
2University of Michigan School of Medicine, Ann Arbor, Michigan
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Charles E. Alpers
9University of Washington, Schools of Medicine and Public Health, Seattle, Washington
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Matthias Kretzler
2University of Michigan School of Medicine, Ann Arbor, Michigan
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Sanjay Jain
15Washington University in Saint Louis School of Medicine, St. Louis, Missouri
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  • For correspondence: telachka@iu.edu sanjayjain@wustl.edu
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Abstract

Comprehensive and spatially mapped molecular atlases of organs at a cellular level are a critical resource to gain insights into pathogenic mechanisms and therapies tailored to the disease of each patient. Obtaining rigorous and reproducible results from disparate methods and at different sites to interrogate biomolecules at a single cell level or in 3-dimensional (3D) space is a significant challenge that can be a futile exercise if not well controlled. The Kidney Precision Medicine Project (KPMP) is an endeavor to generate 3D molecular atlases of healthy and diseased kidney biopsies using multiple state-of-the-art OMICS and imaging technologies across several institutions. We describe a pipeline for generating a reliable and authentic single cell/region 3D molecular atlas of human adult kidney with emphasis on quality assurance, quality control, validation and harmonization across different OMICS and imaging methods. Our “follow the tissue” approach encompasses sample procurement to data generation, analysis, data sharing, while standardizing, and harmonizing procedures at sample collection, processing, storage and shipping. We provide key features of preanalytical parameters, bioassays, post analyses, reference standards and data depositions. A pilot experiment from a common source tissue processed and analyzed at different institutions was executed to identify potential sources of variation, feasibility of multimodal analyses and unique and redundant features of the macromolecules being characterized by each technology. An important outcome was identification of limitations and strengths of the different technologies, and how composite information can be leveraged for clinical application. A peer review system was established to critically review quality control measures and the reproducibility of data generated by each technology before granting approval to work on clinical biopsy specimens. This unique pipeline establishes a process that 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 which can serve as a model for similar personalized medicine projects.

Author Contributions MTE, RM, BBL, TS, TA, AS, SP, CRA, DD, EAO, SW, GZ, MJ and KD performed the ground work for the quality control group, wrote the KPMP TIS manual of procedures and generated figures. HH, JZ, RS, RM, TS, EAO, MTE, TME, PH, SP, MK, ZL and SJ generated the initial working reference marker list. CEA, TME, JBH, JL, MK and SJ led the Pilot 1 protocol. TME, VD, LB, JG, CEA, ZL, SJ and JBH developed the pathology QC tissue qualification and tissue processing criteria. JBH organized and executed the Pilot tissue collection and distribution. JC designed the SpecTrack system. CP prepared and organized the TIS manual of procedures and performed data organization services. YH led ontology development for QC metadata and knowledge standardization. BS and EA organized data integration efforts and data authentication in the data hub. KS and MS led the OMICS discussion group. SJ led the quality control group. TME and CEA led the tissue processing group. MTE and SJ led the Molecular and Pathology Integration group. MTE and SJ conceived and led the TISAC process. RI, OGT KZ, ZL, PH, BR, PCD, KS, MS, JBH, CEA, LB, JG, TME, MK and SJ conceived the integrated TIS pipeline and QC vision. TME and SJ wrote the initial draft of the paper. All authors contributed to the writing and editing of the manuscript.

Footnotes

  • https://kpmp.org/

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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A Multimodal and Integrated Approach to Interrogate Human Kidney Biopsies with Rigor and Reproducibility: The Kidney Precision Medicine Project
Tarek M. El-Achkar, Michael T. Eadon, Rajasree Menon, Blue B. Lake, Tara K. Sigdel, Theodore Alexandrov, Samir Parikh, Guanshi Zhang, Dejan Dobi, 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 Azeloglu, Rachel Sealfon, Seth Winfree, Becky Steck, Yongqun He, Vivette 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 Kretzler, Sanjay Jain, For the Kidney Precision Medicine Project
bioRxiv 828665; doi: https://doi.org/10.1101/828665
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A Multimodal and Integrated Approach to Interrogate Human Kidney Biopsies with Rigor and Reproducibility: The Kidney Precision Medicine Project
Tarek M. El-Achkar, Michael T. Eadon, Rajasree Menon, Blue B. Lake, Tara K. Sigdel, Theodore Alexandrov, Samir Parikh, Guanshi Zhang, Dejan Dobi, 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 Azeloglu, Rachel Sealfon, Seth Winfree, Becky Steck, Yongqun He, Vivette 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 Kretzler, Sanjay Jain, For the Kidney Precision Medicine Project
bioRxiv 828665; doi: https://doi.org/10.1101/828665

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