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Article

Profiling stem cell states in three-dimensional biomaterial niches using high content image informatics.

Acta biomaterialia - 1 Nov 2016

Dhaliwal Anandika, Brenner Matthew, Wolujewicz Paul, Zhang Zheng, Mao Yong, Batish Mona, Kohn Joachim, Moghe Prabhas V

Abstract excerpt

A predictive framework for the evolution of stem cell biology in 3-D is currently lacking. In this study we propose deep image informatics of the nuclear biology of stem cells to elucidate how 3-D biomaterials steer stem cell lineage phenotypes. The approach is based on high content imaging informatics to capture minute variations in the 3-D spatial organization of splicing factor SC-35 in the nucleoplasm as a...

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Identifiers

PMID: 27590870
DOI: 10.1016/j.actbio.2016.08.052
PMCID: PMC5262522

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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