Evidence map›Paper›PMID 33072769›Full record

ArticleFrontiers in medicine2020

Near-Single-Cell Proteomics Profiling of the Proximal Tubular and Glomerulus of the Normal Human Kidney.

Tara K Sigdel, Paul D Piehowski, Sudeshna Roy, Juliane Liberto, Joshua R Hansen, Adam C Swensen, Rui Zhao, Ying Zhu, Priyanka Rashmi, Andrew Schroeder and 7 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
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

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Minimal Change Disease: Pathogenetic Insights from Glomerular Proteomics.International journal of molecular sciences · 2024
    Article
  7. Review
  8. Review
  9. Article
  10. Present and future directions in diabetic kidney disease.Journal of diabetes and its complications · 2022
    Review
  11. Review
  12. Article
  13. Review
  14. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 4 institutions in 1 country.

Tara K SigdelDivision of MultiOrgan Transplantation, Department of Surgery, University of California, San Francisco, San Francisco, CA, United States.
Paul D PiehowskiPacific Northwest National Laboratory, Biological Sciences Division, Richland, WA, United States.
Sudeshna RoyDivision of MultiOrgan Transplantation, Department of Surgery, University of California, San Francisco, San Francisco, CA, United States.
Juliane LibertoDivision of MultiOrgan Transplantation, Department of Surgery, University of California, San Francisco, San Francisco, CA, United States.
Joshua R HansenPacific Northwest National Laboratory, Biological Sciences Division, Richland, WA, United States.
Adam C SwensenPacific Northwest National Laboratory, Biological Sciences Division, Richland, WA, United States.
Rui ZhaoEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, United States.
Ying ZhuEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, United States.
Priyanka RashmiDivision of MultiOrgan Transplantation, Department of Surgery, University of California, San Francisco, San Francisco, CA, United States.
Andrew SchroederDivision of MultiOrgan Transplantation, Department of Surgery, University of California, San Francisco, San Francisco, CA, United States.
Izabella DammDivision of MultiOrgan Transplantation, Department of Surgery, University of California, San Francisco, San Francisco, CA, United States.
Swastika SurDivision of MultiOrgan Transplantation, Department of Surgery, University of California, San Francisco, San Francisco, CA, United States.
Jinghui LuoDepartment of Pathology, University of Michigan, Ann Arbor, MI, United States.
Yingbao YangDepartment of Pathology, University of Michigan, Ann Arbor, MI, United States.
Wei-Jun QianPacific Northwest National Laboratory, Biological Sciences Division, Richland, WA, United States.
Minnie M SarwalDivision of MultiOrgan Transplantation, Department of Surgery, University of California, San Francisco, San Francisco, CA, United States.
Kidney Precision Medicine Project (KPMP) Consortium
University of California, San Francisco · USPacific Northwest National Laboratory · USUniversity of Michigan–Ann Arbor · USEnvironmental Molecular Sciences Laboratory · US

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 MCCLELLAND, ROBYN LEAGH · 2017 to 2021
$21.0M
Project 3: Mapping the Evolution of Chronic Transplant Injury in the Context of CMV InfectionU19AI128913 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LANIER, LEWIS LEE · 2017 to 2021
$11.2M
Pathways and Regulators Driving Progressive Islet Cell Dysfunction in Type 1 DiabetesR01DK122160 · NIDDK · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI ROHIT N. KULKARNI, CLAYTON E MATHEWS · 2019 to 2026
$3.7M
The KIDCOV Study: Assessment of Kidney Injury and Associated Risk Factors for SARS-CoV-2R01DK109720 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI REISER, JOCHEN, SARWAL, MINNIE M · 2017 to 2021
$3.2M
Serum protein biomarkers for predicting type 1 diabetesDP3DK110844 · NIDDK · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI QIAN, WEI-JUN · 2016 to 2016
$1.8M
Multidimensional cellular interrogation of the kidney in AKI and CKDUH3DK114937 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LASZIK, ZOLTAN · 2019 to 2021
$1.2M
Cleveland Precision Medicine Chronic Kidney Disease CohortUH3DK114908 · NIDDK · CLEVELAND CLINIC LERNER COM-CWRU · PI O'TOOLE, JOHN F., POGGIO, EMILIO DANIEL · 2019 to 2021
$900k
Multidimensional cellular interrogation of the kidney in AKI and CKDUG3DK114937 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LASZIK, ZOLTAN · 2017 to 2018
$873k
NIAID NIH HHS U19 AI128913NIDDK NIH HHS DP3 DK110844NIDDK NIH HHS R01 DK109720NIDDK NIH HHS R01 DK122160NIDDK NIH HHS U24 DK114886NIDDK NIH HHS U2C DK114886NIDDK NIH HHS UG3 DK114937NIDDK NIH HHS UH3 DK114908NIDDK NIH HHS UH3 DK114937
6 · The paper itself

Abstract

Molecular assessments at the single cell level can accelerate biological research by providing detailed assessments of cellular organization and tissue heterogeneity in both disease and health. The human kidney has complex multi-cellular states with varying functionality, much of which can now be completely harnessed with recent technological advances in tissue proteomics at a near single-cell level. We discuss the foundational steps in the first application of this mass spectrometry (MS) based proteomics method for analysis of sub-sections of the normal human kidney, as part of the Kidney Precision Medicine Project (KPMP). Using ~30-40 laser captured micro-dissected kidney cells, we identified more than 2,500 human proteins, with specificity to the proximal tubular (PT;

Indexed as

glomeruluskidneymass spectrometryproteomicssingle cell analysis

Identifiers

PMID33072769
PMCPMC7533534
OpenAlexW3085976398

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.