Evidence map›Paper›PMID 24616385›Full record

ArticleJournal of tissue engineering and regenerative medicine2016

Fluorescent imaging of endothelial cells in bioengineered blood vessels: the impact of crosslinking of the scaffold.

Guoguang Niu, Etai Sapoznik, Peng Lu, Tracy Criswell, Aaron M Mohs, Ge Wang, Sang-Jin Lee, Yong Xu, Shay Soker

Abstract read
In one paragraph

Article in Journal of tissue engineering and regenerative medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
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  5. Article
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

9 authors at 4 institutions in 1 country.

Guoguang NiuWake Forest Institute for Regenerative Medicine, Wake Forest Baptist Medical Center, Medical Center Boulevard, Winston-Salem, NC.
Etai SapoznikWake Forest Institute for Regenerative Medicine, Wake Forest Baptist Medical Center, Medical Center Boulevard, Winston-Salem, NC.
Peng LuBradley Department of Electrical and Computer Engineering, Wake Forest University School of Biomedical Engineering and Sciences, Virginia Tech, Blacksburg, VA, USA.
Tracy CriswellWake Forest Institute for Regenerative Medicine, Wake Forest Baptist Medical Center, Medical Center Boulevard, Winston-Salem, NC.
Aaron M MohsWake Forest Institute for Regenerative Medicine, Wake Forest Baptist Medical Center, Medical Center Boulevard, Winston-Salem, NC.
Ge WangVirginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Virginia Tech, Blacksburg, VA, USA.
Sang-Jin LeeWake Forest Institute for Regenerative Medicine, Wake Forest Baptist Medical Center, Medical Center Boulevard, Winston-Salem, NC.
Yong XuBradley Department of Electrical and Computer Engineering, Wake Forest University School of Biomedical Engineering and Sciences, Virginia Tech, Blacksburg, VA, USA.
Shay SokerWake Forest Institute for Regenerative Medicine, Wake Forest Baptist Medical Center, Medical Center Boulevard, Winston-Salem, NC.
Atrium Health Wake Forest Baptist · USForest Institute · USVirginia Tech - Wake Forest University School of Biomedical Engineering & Sciences · USWake Forest University · US

Funding

Optical Molecular Tomography for Regenerative MedicineR01HL098912 · NHLBI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI SOKER, SHAY, WANG, GE · 2010 to 2013
$2.9M
Nondestructive, High Resolution Imaging Platform For Tissue Regeneration ResearchR21EB017819 · NIBIB · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SOKER, SHAY · 2013 to 2014
$423k
NHLBI NIH HHS R01 HL098912NIBIB NIH HHS R21 EB017819
6 · The paper itself

Abstract

Fluorescent imaging is a useful tool to monitor and evaluate bioengineered tissues and organs. However, autofluorescence emitted from the scaffold can be comparable or even overwhelm signals generated by fluorescently labelled cells and biomarkers. Using standard fluorescent microscopy techniques, a simple and easy-to-measure signal to noise ratio metric was developed, which can facilitate the selection of fluorescent biomarkers and the respective biomaterials for tissue engineering studies. Endothelial cells (MS1) expressing green-fluorescent protein and red fluorescent protein (mKate) were seeded on poly(epsilon-caprolactone)-collagen hybrid scaffolds that were prepared by crosslinking with glutaraldehyde, genipin and ethyl(dimethylaminopropyl) carbodiimide/N-hydroxysuccinimide. All scaffolds had comparable mechanical properties, which could meet the requirements for vascular graft applications. ethyl(dimethylaminopropyl) carbodiimide/N-hydroxysuccinimide crosslinked scaffolds had a high signal to noise ratio value because of its low autofluorescence in green and red channels. Genipin crosslinked scaffolds had a high signal to noise ratio only in the green channel, while glutaraldehyde crosslinked scaffolds had a low signal to noise ratio in both green and red channels. The signal to noise ratio was independent of the exposure time. The data show that although similar in their mechanical properties and ability to support cell growth, scaffolds crosslinked with different agents have significant differences in causing autofluorescence of the scaffolds. This result indicates that scaffold's preparation method may have a significant impact on direct imaging of fluorescently labelled cells on scaffolds used for tissue engineering. Copyright © 2014 John Wiley & Sons, Ltd.

Indexed as

BioprosthesisBlood Vessel ProsthesisTissue EngineeringAnimalsCell LineCross-Linking ReagentsEndothelial CellsMiceMicroscopy, FluorescenceTissue ScaffoldsCross-Linking Reagentsautofluorescenceblood vesselendothelial cells

Identifiers

PMID24616385
PMCPMC4145050
OpenAlexW2136410050

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.