Evidence map›Paper›PMID 31028373›Full record

ArticleNature protocols2019

High-dimensional cell-level analysis of tissues with Ce3D multiplex volume imaging.

Weizhe Li, Ronald N Germain, Michael Y Gerner

Abstract read
In one paragraph

Article in Nature protocols, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers.

0numbers the graph read from it
0cells of the map it votes in
107citing 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

107 citing papers in PubMed.

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47 more citing papers are in PubMed but not listed here.

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

3 authors.

Weizhe LiLaboratory of Immune System Biology, Lymphocyte Biology Section and Center for Advanced Tissue Imaging (CAT-I), National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
Ronald N GermainLaboratory of Immune System Biology, Lymphocyte Biology Section and Center for Advanced Tissue Imaging (CAT-I), National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA. ronald.germain@nih.gov.
Michael Y GernerDepartment of Immunology, University of Washington School of Medicine, Seattle, WA, USA. gernermy@uw.edu.ORCID http://orcid.org/0000-0001-5406-8308

Funding

Multiscale Analysis of Immune ResponsesZIAAI000545 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI GERMAIN, RONALD N · 2009 to 2025
$29.4M
The Roles of Lymphoid Tissue Microenvironments in Guiding the Immune ResponseR01AI134713 · NIAID · UNIVERSITY OF WASHINGTON · PI Michael Gerner · 2018 to 2026
$4.4M
Novel approaches to study the intersection of cellular heterogeneity and tissue microanatomyR21AI142667 · NIAID · UNIVERSITY OF WASHINGTON · PI GERNER, MICHAEL · 2019 to 2020
$485k
NIAID NIH HHS R01 AI134713NIAID NIH HHS R21 AI142667
6 · The paper itself

Abstract

Understanding the structure-function relationships between diverse cell types in a complex organ environment requires detailed in situ reconstruction of cell-associated molecular properties in the context of 3D, macro-scale tissue architecture. We recently developed clearing-enhanced 3D (Ce3D), a simple and effective method for tissue clearing that achieves excellent transparency; preserves cell morphology, tissue architecture, and reporter molecule fluorescence; and is robustly compatible with direct immunolabeling. These characteristics permit high-quality multiplex fluorescence microscopy of large tissue volumes, as well as image analysis using advanced platforms such as volumetric histocytometry, collectively allowing quantitative characterization of cells with respect to their spatial positioning within tissues on the basis of phenotypic and functional markers. Ce3D clearing is fast, achieving robust transparency of most tissues within 24 h, albeit still necessitating additional time for staining, imaging, and analysis (1-2 weeks). Here, we provide detailed procedures for tissue clearing using Ce3D, including optimized workflows for tissue processing and staining, as well as treatment of difficult-to-clear organs such as the brain. We also describe a new procedure for RNA detection in Ce3D-treated tissues, as well as provide additional details for the volumetric histocytometry data processing steps. Finally, we discuss limitations and work-around strategies for improving antibody-based tissue immunolabeling, fluorophore multiplexing, large-volume microscopy, and computational analysis of large image datasets. Together, these detailed procedures and solutions for high-resolution volumetric microscopy with Ce3D enable quantitative visualization of cells and tissues at a high level of detail, allowing exploration of cellular spatial relationships in a variety of tissue settings.

Indexed as

AnimalsBrain ChemistryFemaleImaging, Three-DimensionalImmunohistochemistryMaleMiceMicroscopy, ConfocalMicroscopy, FluorescenceRNAStaining and LabelingTissue FixationRNA

Identifiers

PMID31028373
PMCPMC8690297

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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.