Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 227

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Laser Printing of Three-Dimensional Multicellular Arrays for Studies of Cell–Cell and Cell–Environment Interactions

Open access
Gruene, Martin, Pflaum, Michael, Hess, Christian, Diamantouros, Stefanos, Schlie, Sabrina, Deiwick, Andrea, Koch, Lothar, Wilhelmi, Mathias, Jockenhoevel, Stefan, Haverich, Axel, Chichkov, Boris·2011·Tissue Engineering Part C: Methods

Abstract

Utilization of living cells for therapies in regenerative medicine requires a fundamental understanding of the interactions between different cells and their environment. Moreover, common models based on adherent two-dimensional cultures are not appropriate to simulate the complex interactions that occur in a three-dimensional (3D) cell-microenvironment in vivo. In this study, we present a computer-aided method for the printing of multiple cell types in a 3D array using laser-assisted bioprinting. By printing spots of human adipose-derived stem cells (ASCs) and endothelial colony-forming cells (ECFCs), we demonstrate that (i) these cell spots can be arranged layer-by-layer in a 3D array; (ii) any cell-cell ratio, cell quantity, cell-type combination, and spot spacing can be realized within this array; and (iii) the height of the 3D array is freely scalable. As a proof of concept, we printed separate spots of ASCs and ECFCs within a 3D array and observed cell-cell interactions in vascular endothelial growth factor-free medium. It has been demonstrated that direct cell-cell contacts trigger the development of stable vascular-like networks. This method can be applied to study complex and dynamic relationships between cells and their local environment.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1089/ten.tec.2011.0185

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 227

Metadata

Authors
Gruene, M., Pflaum, M., Hess, C., Diamantouros, S., Schlie, S., Deiwick, A., Koch, L., Wilhelmi, M., Jockenhoevel, S., Haverich, A., & Chichkov, B.
Venue
Tissue Engineering Part C: Methods
Published
2011-10
Volume
17
Issue
10
Pages
973-982
ISSN
  • 1937-3384 (ISSN-L)
  • 1937-3392
OpenAlex
W2074218856
Cited by
227
References
2
FWCI
5.11
Type
journal article
Language
en
Open access
hybrid

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.