Evidence map›Paper›PMID 24011714›Full record

ArticleBiomaterials2013

Functional ultrasound imaging for assessment of extracellular matrix scaffolds used for liver organoid formation.

Ryan C Gessner, Ariel D Hanson, Steven Feingold, Avery T Cashion, Ana Corcimaru, Bryant T Wu, Christopher R Mullins, Stephen R Aylward, Lola M Reid, Paul A Dayton

Abstract read
In one paragraph

Article in Biomaterials, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. [Liver engineering as a new source of donor organs : A systematic review].Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen · 2016
    Pooled it
  2. Review
  3. Review
  4. Review
  5. ECM roles and biomechanics in cardiac tissue decellularization.American journal of physiology. Heart and circulatory physiology · 2022
    Review
  6. Article
  7. Article
  8. Review
  9. High-content imaging assays on a miniaturized 3D cell culture platform.Toxicology in vitro : an international journal published in association with BIBRA · 2018
    Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Imaging strategies for tissue engineering applications.Tissue engineering. Part B, Reviews · 2015
    Review
  15. Article
  16. Review
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

10 authors at 4 institutions in 1 country.

Ryan C GessnerUNC/NCSU Joint Department of Biomedical Engineering, UNC School of Medicine, Chapel Hill, NC 27599, USA. Electronic address: gessner.ryan@gmail.com.
Ariel D Hanson
Steven Feingold
Avery T Cashion
Ana Corcimaru
Bryant T Wu
Christopher R Mullins
Stephen R Aylward
Lola M Reid
Paul A Dayton
UNC/NCSU Joint Department of Biomedical Engineering · USKitware (United States) · USUNC Lineberger Comprehensive Cancer CenterUniversity of North Carolina Health Care · US

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
PILOT AND FEASIBILITY STUDIESP30DK034987 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROBERT S. SANDLER · 1985 to 2026
$30.5M
Micro-tumor detection by quantifying tumor-induced vascular abnormalities (PQ-13)R01CA170665 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAYTON, PAUL A · 2012 to 2015
$2.2M
Development of 3D organ-specific models of colorectal cancer metastasisR21CA182322 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WANG, ANDREW ZHUANG · 2013 to 2015
$644k
Quantitative ultrasound analysis of vascular morphology for cancer assessmentR43CA165621 · NCI · KITWARE, INC. · PI AYLWARD, STEPHEN R, DAYTON, PAUL A · 2012 to 2014
$373k
NCI NIH HHS 1R43CA165621NCI NIH HHS CA016086NCI NIH HHS P30 CA016086NCI NIH HHS R01 CA170665NCI NIH HHS R01CA170665NCI NIH HHS R21 CA182322NCI NIH HHS R43 CA165621NIDDK NIH HHS P30 DK034987
6 · The paper itself

Abstract

A method of 3D functional ultrasound imaging has been developed to enable non-destructive assessment of extracellular matrix scaffolds that have been prepared by decellularization protocols and are intended for recellularization to create organoids. A major challenge in organ decellularization is retaining patent micro-vascular structures crucial for nutrient access and functionality of organoids. The imaging method described here provides statistical distributions of flow rates throughout the tissue volumes, 3D vessel network architecture visualization, characterization of microvessel volumes and sizes, and delineation of matrix from vascular circuits. The imaging protocol was tested on matrix scaffolds that are tissue-specific, but not species-specific, matrix extracts, prepared by a process that preserved >98% of the collagens, collagen-associated matrix components, and matrix-bound growth factors and cytokines. Image-derived data are discussed with respect to assessment of scaffolds followed by proof-of-concept studies in organoid establishment using Hep3B, a human hepatoblast-like cell line. Histology showed that the cells attached to scaffolds with patent vasculature within minutes, achieved engraftment at near 100%, expressed liver-specific functions within 24 h, and yielded evidence of proliferation and increasing differentiation of cells throughout the two weeks of culture studies. This imaging method should prove valuable in analyses of such matrix scaffolds.

Indexed as

AnimalsCell LineExtracellular MatrixHumansLiverOrganoidsRatsRats, WistarTissue ScaffoldsUltrasonographyAcoustic angiographyExtracellular matrixLiverMicrobubbleOrganoidsScaffolds

Identifiers

PMID24011714
PMCPMC4597479
OpenAlexW2001059760

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.