Automated Quantification of Vessel Structure: A Novel Method for Analysis of Angiogenesis in Wound Healing
ELSEVIER SCIENCE INC. 2018: E196
View details for Web of Science ID 000447772500469
- Engrailed1-Positive Fibroblasts May Modulate Transcription of the TGF-beta Pathway in the Transition from Scarless Healing to Scarring Phenotype ELSEVIER SCIENCE INC. 2018: E221?E222
- Reduced Scar Thickness Achieved by Topical Doxycycline Is Mediated by Specific Skin Fibroblast Populations and Not Immune Cell Infiltrate ELSEVIER SCIENCE INC. 2018: S210?S211
- Mouse Model with cJUN Over-Expression Eludes to Deep Dermal Fibroblast Expansion and Immune Cell Recruitment as the Biologic Mechanism of Hypertrophic Scarring ELSEVIER SCIENCE INC. 2018: S208
Detecting oropharyngeal carcinoma using multispectral, narrow-band imaging and machine learning.
OBJECTIVE: To determine if multispectral narrow-band imaging (mNBI) can be used for automated, quantitative detection of oropharyngeal carcinoma (OPC).STUDY DESIGN: Prospective cohort study.METHODS: Multispectral narrow-band imaging and white light endoscopy (WLE) were used to examine the lymphoepithelial tissues of the oropharynx in a preliminary cohort of 30 patients (20 with biopsy-proven OPC, 10 healthy). Low-level image features from five patients were then extracted to train naive Bayesian classifiers for healthy and malignant tissue.RESULTS: Tumors were classified by color features with 65.9% accuracy, 66.8% sensitivity, and 64.9% specificity under mNBI. In contrast, tumors were classified with 52.3% accuracy (P=0.0108), 44.8% sensitivity (P=0.0793), and 59.9% specificity (P=0.312) under WLE. Receiver operating characteristic analysis yielded areas under the curve (AUC) of 72.3% and 54.6% for classification under mNBI and WLE, respectively (P=0.00168). For classification by both color and texture features, AUC under mNBI increased (80.1%, P=0.00230) but did not improve under WLE (below 55% for both models, P=0.180). Cross-validation with five folds yielded an AUC above 80% for both mNBI models and below 55% for both WLE models (P=0.0000410 and 0.000116).CONCLUSION: Compared to WLE, mNBI significantly enhanced the performance of a naive Bayesian classifier trained on low-level image features of oropharyngeal mucosa. These findings suggest that automated clinical detection of OPC might be used to enhance surgical vision, improve early diagnosis, and allow for high-throughput screening.LEVEL OF EVIDENCE: NA. Laryngoscope, 2018.
View details for PubMedID 29577322
Prrx1 Labels the Fibrogenic Fibroblast in the Ventral Dermis
WILEY. 2018: A4
View details for Web of Science ID 000430308600009
YAP-dependent mechanotransduction is required for proliferation and migration on native-like substrate topography
2017; 115: 155-166
Native vascular extracellular matrices (vECM) consist of elastic fibers that impart varied topographical properties, yet most in vitro models designed to study the effects of topography on cell behavior are not representative of native architecture. Here, we engineer an electrospun elastin-like protein (ELP) system with independently tunable, vECM-mimetic topography and demonstrate that increasing topographical variation causes loss of endothelial cell-cell junction organization. This loss of VE-cadherin signaling and increased cytoskeletal contractility on more topographically varied ELP substrates in turn promote YAP activation and nuclear translocation, resulting in significantly increased endothelial cell migration and proliferation. Our findings identify YAP as a required signaling factor through which fibrous substrate topography influences cell behavior and highlights topography as a key design parameter for engineered biomaterials.
View details for DOI 10.1016/j.biomaterials.2016.11.019
View details for Web of Science ID 000390642100014
View details for PubMedID 27889666
- Use of protein-engineered fabrics to identify design rules for integrin ligand clustering in biomaterials INTEGRATIVE BIOLOGY 2016; 8 (1): 50-61
Human Germline CRISPR-Cas Modification: Toward a Regulatory Framework.
American journal of bioethics
2015; 15 (12): 25-29
CRISPR germline editing therapies (CGETs) hold unprecedented potential to eradicate hereditary disorders. However, the prospect of altering the human germline has sparked a debate over the safety, efficacy, and morality of CGETs, triggering a funding moratorium by the NIH. There is an urgent need for practical paths for the evaluation of these capabilities. We propose a model regulatory framework for CGET research, clinical development, and distribution. Our model takes advantage of existing legal and regulatory institutions but adds elevated scrutiny at each stage of CGET development to accommodate the unique technical and ethical challenges posed by germline editing.
View details for DOI 10.1080/15265161.2015.1104160
View details for PubMedID 26632357