3D extracellular matrix microenvironment in bioengineered tissue models of primary pediatric and adult brain tumors.

Clicks: 373
ID: 58853
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #42 of 485 articles by views in Nature communications

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 485 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Dynamic alterations in the unique brain extracellular matrix (ECM) are involved in malignant brain tumors. Yet studies of brain ECM roles in tumor cell behavior have been difficult due to lack of access to the human brain. We present a tunable 3D bioengineered brain tissue platform by integrating microenvironmental cues of native brain-derived ECMs and live imaging to systematically evaluate patient-derived brain tumor responses. Using pediatric ependymoma and adult glioblastoma as examples, the 3D brain ECM-containing microenvironment with a balance of cell-cell and cell-matrix interactions supports distinctive phenotypes associated with tumor type-specific and ECM-dependent patterns in the tumor cells' transcriptomic and release profiles. Label-free metabolic imaging of the composite model structure identifies metabolically distinct sub-populations within a tumor type and captures extracellular lipid-containing droplets with potential implications in drug response. The versatile bioengineered 3D tumor tissue system sets the stage for mechanistic studies deciphering microenvironmental role in brain tumor progression.
Reference Key
sood20193dnature Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Sood, Disha;Tang-Schomer, Min;Pouli, Dimitra;Mizzoni, Craig;Raia, Nicole;Tai, Albert;Arkun, Knarik;Wu, Julian;Black, Lauren D;Scheffler, Bjorn;Georgakoudi, Irene;Steindler, Dennis A;Kaplan, David L;
Journal Nature communications
Year 2019
DOI
10.1038/s41467-019-12420-1
URL
Keywords
radiation necrosis brain metastases hypofractionation radiosurgery

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.