Evidence map›Paper›PMID 38721662›Full record

ArticleAmerican journal of physiology. Renal physiology2024

Validation of an organ mapping antibody panel for cyclical immunofluorescence microscopy on normal human kidneys.

Maya Brewer, Lukasz G Migas, Kelly A Clouthier, Jamie L Allen, David M Anderson, Ellie Pingry, Melissa Farrow, Ellen M Quardokus, Jeffrey M Spraggins, Raf Van de Plas and 1 more

Abstract readValidation Study
In one paragraph

Article in American journal of physiology. Renal physiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Maya BrewerDivision of Nephrology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States.ORCID 0000-0001-5914-0081
Lukasz G MigasDelft Center for Systems and Control, Delft University of Technology, Delft, The Netherlands.
Kelly A ClouthierDivision of Nephrology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Jamie L AllenMass Spectrometry Research Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States.
David M AndersonMass Spectrometry Research Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States.
Ellie PingryMass Spectrometry Research Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States.
Melissa FarrowMass Spectrometry Research Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States.
Ellen M QuardokusDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, Indiana, United States.
Jeffrey M SpragginsMass Spectrometry Research Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States.
Raf Van de PlasDelft Center for Systems and Control, Delft University of Technology, Delft, The Netherlands.
Mark P de CaesteckerDivision of Nephrology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States.ORCID 0000-0001-7926-1673

Funding

Vanderbilt University Biomolecular Multimodal Imaging Center for 3-Dimensional Mapping of the Human KidneyU54DK134302 · NIDDK · VANDERBILT UNIVERSITY · PI SPRAGGINS, JEFFREY M · 2022 to 2025
$7.1M
Multimodal Imaging Mass Spectrometry and Spatial Omics for the Human KidneyU01DK133766 · NIDDK · VANDERBILT UNIVERSITY · PI Jeffrey M Spraggins · 2022 to 2026
$3.4M
HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) U01DK133766HHS | NIH | OSC | Common Fund (NIH Common Fund) U54DK134302NIDDK NIH HHS U01 DK133766NIDDK NIH HHS U54 DK134302
6 · The paper itself

Abstract

The lack of standardization in antibody validation remains a major contributor to irreproducibility of human research. To address this, we have applied a standardized approach to validate a panel of antibodies to identify 18 major cell types and 5 extracellular matrix compartments in the human kidney by immunofluorescence (IF) microscopy. We have used these to generate an organ mapping antibody panel for two-dimensional (2-D) and three-dimensional (3-D) cyclical IF (CyCIF) to provide a more detailed method for evaluating tissue segmentation and volumes using a larger panel of markers than would normally be possible using standard fluorescence microscopy. CyCIF also makes it possible to perform multiplexed IF microscopy of whole slide images, which is a distinct advantage over other multiplexed imaging technologies that are applicable to limited fields of view. This enables a broader view of cell distributions across larger anatomical regions, allowing a better chance to capture localized regions of dysfunction in diseased tissues. These methods are broadly accessible to any laboratory with a fluorescence microscope, enabling spatial cellular phenotyping in normal and disease states. We also provide a detailed solution for image alignment between CyCIF cycles that can be used by investigators to perform these studies without programming experience using open-sourced software. This ability to perform multiplexed imaging without specialized instrumentation or computational skills opens the door to integration with more highly dimensional molecular imaging modalities such as spatial transcriptomics and imaging mass spectrometry, enabling the discovery of molecular markers of specific cell types, and how these are altered in disease.

Indexed as

AntibodiesKidneyMicroscopy, FluorescenceExtracellular MatrixFluorescent Antibody TechniqueHumansImaging, Three-DimensionalReproducibility of ResultsAntibodiesantibodycyclical immunofluorescencehumankidneyvalidation

Identifiers

PMID38721662
PMCPMC11390132

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.