Evidence map›Paper›PMID 28699046›Full record

ArticleAngiogenesis2017

Optical clearing and fluorescence deep-tissue imaging for 3D quantitative analysis of the brain tumor microenvironment.

Tonny Lagerweij, Sophie A Dusoswa, Adrian Negrean, Esther M L Hendrikx, Helga E de Vries, Jeroen Kole, Juan J Garcia-Vallejo, Huibert D Mansvelder, W Peter Vandertop, David P Noske and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Angiogenesis, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
12.3field-weighted citation impact, top 1% 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

47 citing papers in PubMed, 82 citations in OpenAlex.

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  20. Large-scale characterization of the microvascular geometry in development and disease by tissue clearing and quantitative ultramicroscopy.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
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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

16 authors at 4 institutions in 2 countries.

Tonny LagerweijNeuro-oncology Research Group, VU University Medical Center, CCA Room 3.60, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0003-1043-7452
Sophie A DusoswaNeuro-oncology Research Group, VU University Medical Center, CCA Room 3.60, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
Adrian NegreanIntegrative Neurophysiology, Centre for Neurogenomics and Cognitive Research, VU University, Amsterdam, The Netherlands.
Esther M L HendrikxDepartment of Molecular Cell Biology and Immunology, VU University Medical Center, Amsterdam, The Netherlands.
Helga E de VriesDepartment of Molecular Cell Biology and Immunology, VU University Medical Center, Amsterdam, The Netherlands.
Jeroen KoleDepartment of Physiology, VU University Medical Center, Amsterdam, The Netherlands.
Juan J Garcia-VallejoDepartment of Molecular Cell Biology and Immunology, VU University Medical Center, Amsterdam, The Netherlands.
Huibert D MansvelderIntegrative Neurophysiology, Centre for Neurogenomics and Cognitive Research, VU University, Amsterdam, The Netherlands.
W Peter VandertopBrain Tumor Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands.
David P NoskeNeuro-oncology Research Group, VU University Medical Center, CCA Room 3.60, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
Bakhos A TannousDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
René J P MustersDepartment of Physiology, VU University Medical Center, Amsterdam, The Netherlands.
Yvette van KooykDepartment of Molecular Cell Biology and Immunology, VU University Medical Center, Amsterdam, The Netherlands.
Pieter WesselingNeuro-oncology Research Group, VU University Medical Center, CCA Room 3.60, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
Xi Wen ZhaoNeuro-oncology Research Group, VU University Medical Center, CCA Room 3.60, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
Thomas WurdingerNeuro-oncology Research Group, VU University Medical Center, CCA Room 3.60, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands. t.wurdinger@vumc.nl.
Amsterdam UMC Location Vrije Universiteit Amsterdam · NLHarvard University · USMassachusetts General Hospital · USPrincess Máxima Center · NL

Funding

Interdepartmental Neuroscience CenterP30NS045776 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI BREAKEFIELD, XANDRA OWENS, TANNOUS, BAKHOS A · 2003 to 2018
$11.1M
NINDS NIH HHS P30 NS045776
6 · The paper itself

Abstract

backgroundThree-dimensional visualization of the brain vasculature and its interactions with surrounding cells may shed light on diseases where aberrant microvascular organization is involved, including glioblastoma (GBM). Intravital confocal imaging allows 3D visualization of microvascular structures and migration of cells in the brain of mice, however, with limited imaging depth. To enable comprehensive analysis of GBM and the brain microenvironment, in-depth 3D imaging methods are needed. Here, we employed methods for optical tissue clearing prior to 3D microscopy to visualize the brain microvasculature and routes of invasion of GBM cells.

methodsWe present a workflow for ex vivo imaging of optically cleared brain tumor tissues and subsequent computational modeling. This workflow was used for quantification of the microvasculature in relation to nuclear or cellular density in healthy mouse brain tissues and in human orthotopic, infiltrative GBM8 and E98 glioblastoma models.

resultsEx vivo cleared mouse brain tissues had a >10-fold imaging depth as compared to intravital imaging of mouse brain in vivo. Imaging of optically cleared brain tissue allowed quantification of the 3D microvascular characteristics in healthy mouse brains and in tissues with diffuse, infiltrative growing GBM8 brain tumors. Detailed 3D visualization revealed the organization of tumor cells relative to the vasculature, in both gray matter and white matter regions, and patterns of multicellular GBM networks collectively invading the brain parenchyma.

conclusionsOptical tissue clearing opens new avenues for combined quantitative and 3D microscopic analysis of the topographical relationship between GBM cells and their microenvironment.

Indexed as

Imaging, Three-DimensionalOptical PhenomenaTumor MicroenvironmentAnimalsBrainBrain NeoplasmsFemaleFluorescenceGlioblastomaIntravital MicroscopyLectinsMice, NudeMicrovesselsNeovascularization, PathologicPhotonsLectins3DCLARITYiDISCOImagingMulticellular networkVasculature

Identifiers

PMID28699046
PMCPMC5660146
OpenAlexW2734467035

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.