Evidence map›Paper›PMID 30565891›Full record

ArticleAdvanced healthcare materials2019

Quantitative Label-Free Imaging of 3D Vascular Networks Self-Assembled in Synthetic Hydrogels.

Gaurav Kaushik, Daniel A Gil, Elizabeth Torr, Elizabeth S Berge, Cheryl Soref, Peyton Uhl, Gianluca Fontana, Jessica Antosiewicz-Bourget, Collin Edington, Michael P Schwartz and 5 more

Abstract read
In one paragraph

Article in Advanced healthcare materials, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

15 authors.

Gaurav KaushikDepartment of Orthopedics and Rehabilitation, University of Wisconsin-Madison, 1111 Highland Avenue, WIMR 5418, Madison, WI, 53705, USA.ORCID 0000-0001-6743-7811
Daniel A GilMorgridge Institute for Research, 330 North Orchard Street, Madison, WI, 53715, USA.ORCID 0000-0002-9784-0342
Elizabeth TorrDepartment of Orthopedics and Rehabilitation, University of Wisconsin-Madison, 1111 Highland Avenue, WIMR 5418, Madison, WI, 53705, USA.
Elizabeth S BergeMorgridge Institute for Research, 330 North Orchard Street, Madison, WI, 53715, USA.
Cheryl SorefDepartment of Orthopedics and Rehabilitation, University of Wisconsin-Madison, 1111 Highland Avenue, WIMR 5418, Madison, WI, 53705, USA.
Peyton UhlDepartment of Orthopedics and Rehabilitation, University of Wisconsin-Madison, 1111 Highland Avenue, WIMR 5418, Madison, WI, 53705, USA.
Gianluca FontanaDepartment of Orthopedics and Rehabilitation, University of Wisconsin-Madison, 1111 Highland Avenue, WIMR 5418, Madison, WI, 53705, USA.ORCID 0000-0002-1534-7512
Jessica Antosiewicz-BourgetHuman Models for Analysis of Pathways (HMAPs) Center, University of Wisconsin-Madison, 1111 Highland Avenue, WIMR 5418, Madison, WI, 53705, USA.
Collin EdingtonDepartment of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.ORCID 0000-0002-5248-871X
Michael P SchwartzDepartment of Biomedical Engineering, University of Wisconsin-Madison, 1415 Engineering Drive, Madison, WI, 53706, USA.
Linda G GriffithDepartment of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.ORCID 0000-0002-1801-5548
James A ThomsonHuman Models for Analysis of Pathways (HMAPs) Center, University of Wisconsin-Madison, 1111 Highland Avenue, WIMR 5418, Madison, WI, 53705, USA.
Melissa C SkalaHuman Models for Analysis of Pathways (HMAPs) Center, University of Wisconsin-Madison, 1111 Highland Avenue, WIMR 5418, Madison, WI, 53705, USA.ORCID 0000-0002-6320-7637
William T DalyDepartment of Orthopedics and Rehabilitation, University of Wisconsin-Madison, 1111 Highland Avenue, WIMR 5418, Madison, WI, 53705, USA.ORCID 0000-0002-6964-976X
William L MurphyDepartment of Orthopedics and Rehabilitation, University of Wisconsin-Madison, 1111 Highland Avenue, WIMR 5418, Madison, WI, 53705, USA.

Funding

Optical imaging to predict cell-level genetic heterogeneity and treatment sensitivity in colorectal cancerR37CA226526 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI DEMING, DUSTIN A · 2018 to 2024
$4.2M
Optical imaging of pancreas cancer organoids for drug development and personalized treatmentR01CA211082 · NCI · MORGRIDGE INSTITUTE FOR RESEARCH, INC. · PI SKALA, MELISSA CAROLINE · 2017 to 2021
$3.5M
Biomaterials for local regulation of growth factor signalingR01HL093282 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI MURPHY, WILLIAM L. · 2009 to 2018
$3.3M
Human iPS/ES Cell-Based Models for Predictive Neural Toxicity and TeratogenicityUH2TR000506 · NCATS · MORGRIDGE INSTITUTE FOR RESEARCH, INC. · PI THOMSON, JAMES ALEXANDER · 2012 to 2013
$2.4M
(PQ7) Quantitative in vivo optical imaging of tumor heterogeneityR01CA205101 · NCI · MORGRIDGE INSTITUTE FOR RESEARCH, INC. · PI SKALA, MELISSA CAROLINE · 2016 to 2020
$1.9M
Cellular-level Optical Metabolic Imaging to Predict Drug Response in CancerR01CA185747 · NCI · VANDERBILT UNIVERSITY · PI SKALA, MELISSA CAROLINE · 2014 to 2019
$1.6M
Environmental Protection Agency STAR Center 835737National Science Foundation CBET-1642287NCATS NIH HHS UH2 TR000506NCI NIH HHS R01 CA185747NCI NIH HHS R01 CA205101NCI NIH HHS R01 CA211082NCI NIH HHS R37 CA226526NHLBI NIH HHS R01 HL093282NIH HHS 1UH2TR000506-01NIH HHS 4UH3TR000506-03Stand Up To Cancer SU2C-AACR-IG-08-16
6 · The paper itself

Abstract

Vascularization is an important strategy to overcome diffusion limits and enable the formation of complex, physiologically relevant engineered tissues and organoids. Self-assembly is a technique to generate in vitro vascular networks, but engineering the necessary network morphology and function remains challenging. Here, autofluorescence multiphoton microscopy (aMPM), a label-free imaging technique, is used to quantitatively evaluate in vitro vascular network morphology. Vascular networks are generated using human embryonic stem cell-derived endothelial cells and primary human pericytes encapsulated in synthetic poly(ethylene glycol)-based hydrogels. Two custom-built bioreactors are used to generate distinct fluid flow patterns during vascular network formation: recirculating flow or continuous flow. aMPM is used to image these 3D vascular networks without the need for fixation, labels, or dyes. Image processing and analysis algorithms are developed to extract quantitative morphological parameters from these label-free images. It is observed with aMPM that both bioreactors promote formation of vascular networks with lower network anisotropy compared to static conditions, and the continuous flow bioreactor induces more branch points compared to static conditions. Importantly, these results agree with trends observed with immunocytochemistry. These studies demonstrate that aMPM allows label-free monitoring of vascular network morphology to streamline optimization of growth conditions and provide quality control of engineered tissues.

Indexed as

BioreactorsBlood VesselsCell Culture TechniquesEndothelial CellsHumansHydrogelsImaging, Three-DimensionalMicroscopy, ConfocalMicroscopy, Fluorescence, MultiphotonNADNADPNeovascularization, PhysiologicPericytesPlatelet Endothelial Cell Adhesion Molecule-1Polyethylene GlycolsHydrogelsNADNADPPECAM1 protein, humanPlatelet Endothelial Cell Adhesion Molecule-1Polyethylene Glycolsautofluorescencemultiphoton microscopypoly(ethylene glycol)self-assemblyvascular networks

Identifiers

PMID30565891
PMCPMC6601624

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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.