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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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Dataset for: Thermofluidic heat exchangers for actuation of transcription in artificial tissues

Authors: Corbett, Daniel;

Dataset for: Thermofluidic heat exchangers for actuation of transcription in artificial tissues

Abstract

Dataset for: Thermofluidic heat exchangers for actuation of transcription in artificial tissues Daniel C. Corbett1,2, Wesley B. Fabyan1,2, Bagrat Grigoryan3, Colleen E. O’Connor1,2, Fredrik Johansson1,2, Ivan Batalov1,2, Mary C. Regier1,2, Cole A. DeForest1,2,4, Jordan S. Miller3, Kelly R. Stevens1,2,5,6* 1Department of Bioengineering, University of Washington, Seattle, WA 98195, USA. 2Institute for Stem Cell and Regenerative Medicine, Seattle, WA 98195, USA. 3Department of Bioengineering, Rice University, Houston, TX 77005, USA. 4Department of Chemical Engineering, University of Washington, Seattle, WA 98195, USA. 5Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA. 6Brotman Baty Institute, University of Washington, Seattle, WA 98195, USA. *Corresponding author. Email: ksteve@uw.edu Spatial patterns of gene expression in living organisms orchestrate cell decisions in development, homeostasis, and disease. However, most methods for reconstructing gene patterning in 3D cell culture and artificial tissues are restricted by patterning depth and scale. We introduce a depth- and scale-flexible method to direct volumetric gene expression patterning in 3D artificial tissues, which we call “heat exchangers for actuation of transcription” (HEAT). This approach leverages fluid-based heat transfer from printed networks in the tissues to activate heat-inducible transgenes expressed by embedded cells. We show that gene expression patterning can be tuned both spatially and dynamically by varying channel network architecture, fluid temperature, fluid flow direction, and stimulation timing in a user-defined manner and maintained in vivo. We apply this approach to activate the 3D positional expression of Wnt ligands and Wnt/-catenin pathway regulators, which are major regulators of development, homeostasis, regeneration, and cancer throughout the animal kingdom.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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OpenAIRE UsageCountsViews provided by UsageCounts
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