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Identification of phenotype-specific networks from paired gene expression-cell shape imaging data.
(COLD SPRING HARBOR LAB PRESS, PUBLICATIONS DEPT, 2022-04-01)
The morphology of breast cancer cells is often used as an indicator of tumor severity and prognosis. Additionally, morphology can be used to identify more fine-grained, molecular developments within a cancer cell, such as ...
Visualizing cellular imaging data using PhenoPlot.
(NATURE PUBLISHING GROUP, 2015-01-08)
Visualization is essential for data interpretation, hypothesis formulation and communication of results. However, there is a paucity of visualization methods for image-derived data sets generated by high-content analysis ...
Microenvironmental Heterogeneity Parallels Breast Cancer Progression: A Histology-Genomic Integration Analysis.
(PUBLIC LIBRARY SCIENCE, 2016-02-16)
BACKGROUND: The intra-tumor diversity of cancer cells is under intense investigation; however, little is known about the heterogeneity of the tumor microenvironment that is key to cancer progression and evolution. We aimed ...
Multiparametric Analysis of Cell Shape Demonstrates that β-PIX Directly Couples YAP Activation to Extracellular Matrix Adhesion.
(CELL PRESS, 2017-01-25)
Mechanical signals from the extracellular matrix (ECM) and cellular geometry regulate the nuclear translocation of transcriptional regulators such as Yes-associated protein (YAP). Elucidating how physical signals control ...
Identification of clinically predictive metagenes that encode components of a network coupling cell shape to transcription by image-omics.
(COLD SPRING HARBOR LAB PRESS, PUBLICATIONS DEPT, 2017-02-01)
The associations between clinical phenotypes (tumor grade, survival) and cell phenotypes, such as shape, signaling activity, and gene expression, are the basis for cancer pathology, but the mechanisms explaining these ...