Evidence map›Paper›PMID 33197228›Full record

ArticlePhysiological genomics2021

A multimodal and integrated approach to interrogate human kidney biopsies with rigor and reproducibility: guidelines from 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 and 30 more

Abstract read
In one paragraph

Article in Physiological genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

55 citing papers in PubMed.

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  17. Integrated multiomic analyses: An approach to improve understanding of diabetic kidney disease.Diabetic medicine : a journal of the British Diabetic Association · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

40 authors.

Tarek M El-AchkarIndiana University School of Medicine, Indianapolis, Indiana.
Michael T EadonIndiana University School of Medicine, Indianapolis, Indiana.
Rajasree MenonUniversity of Michigan School of Medicine, Ann Arbor, Michigan.
Blue B LakeJacobs School of Engineering, University of California, San Diego, California.
Tara K SigdelUniversity of California San Francisco School of Medicine, San Francisco, California.
Theodore AlexandrovEuropean Molecular Biology Laboratory, Heidelberg, Germany.
Samir ParikhOhio State University College of Medicine, Columbus, Ohio.
Guanshi ZhangUT-Health San Antonio School of Medicine, San Antonio, Texas.
Dejan DobiUniversity of California San Francisco School of Medicine, San Francisco, California.
Kenneth W DunnIndiana University School of Medicine, Indianapolis, Indiana.
Edgar A OttoUniversity of Michigan School of Medicine, Ann Arbor, Michigan.
Christopher R AndertonUT-Health San Antonio School of Medicine, San Antonio, Texas.
Jonas M CarsonSchools of Medicine and Public Health, University of Washington, Seattle, Washington.
Jinghui LuoUniversity of Michigan School of Medicine, Ann Arbor, Michigan.
Chris ParkSchools of Medicine and Public Health, University of Washington, Seattle, Washington.
Habib HamidiUniversity of Michigan School of Medicine, Ann Arbor, Michigan.
Jian ZhouPrinceton University, Princeton, New Jersey.
Paul HooverHarvard University School of Medicine, Boston Massachusetts.
Andrew SchroederUniversity of California San Francisco School of Medicine, San Francisco, California.
Marianinha JoanesUniversity of California San Francisco School of Medicine, San Francisco, California.
Evren U AzelogluIcahn School of Medicine at Mount Sinai, New York City, New York.
Rachel SealfonPrinceton University, Princeton, New Jersey.
Seth WinfreeIndiana University School of Medicine, Indianapolis, Indiana.
Becky SteckUniversity of Michigan School of Medicine, Ann Arbor, Michigan.
Yongqun HeUniversity of Michigan School of Medicine, Ann Arbor, Michigan.
Vivette D'AgatiColumbia University School of Medicine, New York City, New York.
Ravi IyengarIcahn School of Medicine at Mount Sinai, New York City, New York.
Olga G TroyanskayaPrinceton University, Princeton, New Jersey.
Laura BarisoniDuke University School of Medicine, Durham, North Carolina.
Joseph GautWashington University in Saint Louis School of Medicine, St. Louis, Missouri.
Kun ZhangJacobs School of Engineering, University of California, San Diego, California.
Zoltan LaszikUniversity of California San Francisco School of Medicine, San Francisco, California.
Brad H RovinOhio State University College of Medicine, Columbus, Ohio.
Pierre C DagherIndiana University School of Medicine, Indianapolis, Indiana.
Kumar SharmaUT-Health San Antonio School of Medicine, San Antonio, Texas.
Minnie M SarwalUniversity of California San Francisco School of Medicine, San Francisco, California.
Jeffrey B HodginUniversity of Michigan School of Medicine, Ann Arbor, Michigan.
Charles E AlpersSchools of Medicine and Public Health, University of Washington, Seattle, Washington.
Matthias KretzlerUniversity of Michigan School of Medicine, Ann Arbor, Michigan.
Sanjay JainWashington University in Saint Louis School of Medicine, St. Louis, Missouri.

Funding

Central Hub for Kidney Precision MedicineU24DK114886 · NIDDK · UNIVERSITY OF WASHINGTON · PI Jonathan Himmelfarb, Matthias Kretzler · 2022 to 2026
$21.1M
ConProject-002U2CDK114886 · NIDDK · UNIVERSITY OF WASHINGTON · PI HIMMELFARB, JONATHAN · 2017 to 2021
$21.0M
PROBE DELIVERY COREP30DK079312 · NIDDK · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI DAGHER, PIERRE C · 2007 to 2021
$17.1M
lntegration and Visualization of Diverse Biological DataR01GM071966 · NIGMS · PRINCETON UNIVERSITY · PI TROYANSKAYA, OLGA G · 2005 to 2022
$6.4M
Organ Specific ProjectU54HL145608 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JAIN, SANJAY, ZHANG, KUN · 2018 to 2021
$5.6M
Single cell multiomic and spatial atlas of acute and chronic kidney injuryU01DK114933 · NIDDK · WASHINGTON UNIVERSITY · PI Sanjay Jain · 2022 to 2026
$5.0M
Spatial Multi-Omics to Profile Metabolic Pathways for Kidney DiseaseU01DK114920 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Christopher R Anderton, Kumar Sharma · 2022 to 2026
$3.9M
PREcision Medicine through IntErrogation of Rna in the kidnEy (PREMIERE)U01DK114907 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Nir Hacohen, Jeffrey Benton Hodgin · 2022 to 2026
$3.2M
Spatial Metabolomics for Human KidneysUH3DK114920 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI SHARMA, KUMAR · 2019 to 2021
$2.7M
Nephron Sub-segmental Omics and Quantitative 3D Imaging of Human Kidney.UH3DK114923 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI ASHKAR, TAREK MAURICE, DAGHER, PIERRE C · 2019 to 2021
$2.2M
PREcision Medicine through IntErrogation of Rna in the kidnEy (PREMIERE)UH3DK114907 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HACOHEN, NIR, HODGIN, JEFFREY BENTON · 2019 to 2021
$1.8M
Single-nucleus sequencing and in situ mapping of mRNA molecules in human kidneyUH3DK114933 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JAIN, SANJAY, ZHANG, KUN · 2019 to 2021
$1.8M
NHLBI NIH HHS U54 HL145608NIDDK NIH HHS K08 DK107864NIDDK NIH HHS P30 DK079312NIDDK NIH HHS U01 DK114907NIDDK NIH HHS U01 DK114920NIDDK NIH HHS U01 DK114933NIDDK NIH HHS U24 DK114886NIDDK NIH HHS U2C DK114886NIDDK NIH HHS UG3 DK114920NIDDK NIH HHS UG3 DK114933NIDDK NIH HHS UH3 DK114907NIDDK NIH HHS UH3 DK114908NIDDK NIH HHS UH3 DK114920NIDDK NIH HHS UH3 DK114923NIDDK NIH HHS UH3 DK114933NIDDK NIH HHS UH3 DK114937NIGMS NIH HHS R01 GM071966
6 · The paper itself

Abstract

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 three-dimensional (3-D) molecular atlases of healthy and diseased kidney biopsies by 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 3-D 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 3-D 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 their being approved to interrogate clinical biopsy specimens. The process established economizes the use of valuable biopsy tissue for multiomics 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.

Indexed as

Guidelines as TopicPrecision MedicineBiopsyHumansKidneyReproducibility of Resultsimagingkidney diseasemetabolomicsproteomicstranscriptomics

Identifiers

PMID33197228
PMCPMC7847045

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.