A.CLOT-samples-publish2023-05-16_12-55.xlsx Version 1
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samples-publish2023-05-16_12-55.xlsx
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Created: 16th May 2023 at 17:58
Last updated: 16th May 2023 at 18:27
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Version 1 (earliest) Created 16th May 2023 at 17:58 by Charles Demurjian
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Projects: Hi-IMPAcTB, MIT SRP, MetNet, Endometriosis, Cancer Systems Biology Consortium (CSBC)
Institutions: Massachusetts Institute of Technology
Projects: MIT SRP, Hi-IMPAcTB, MetNet, Endometriosis, Cancer Systems Biology Consortium (CSBC)
Web page: https://nextseek.mit.edu/
Submitter: Charles Demurjian
Studies: Chromatin conformation, gene transcription, and nucleosome remodeling as..., Impact of fibrinogen, fibrin thrombi and thrombin on cancer cell extrava..., Patient-specific vascularized tumor model: Blocking monocyte recruitment..., Personalized Vascularized Models of Breast Cancer Desmoplasia Reveal Bio..., Polyploidy of MDA-MB-231 cells drives increased extravasation with enhan..., Utilizing convolutional neural networks for discriminating cancer and st...
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Emmanouil Angelidakis, Sophia Chen, Shun Zhang, Zhengpeng Wan, Roger D. Kamm, Sarah E. Shelton
Link to Paper: https://doi.org/10.1002/adhm.202202984
A bidirectional association exists between metastatic dissemination and the hypercoagulable state associated with many types of cancer. As such, clinical studies have provided evidence that markers associated with elevated levels of coagulation and fibrinolysis correlate with decreased patient survival. However, ...
Submitter: Charles Demurjian
Investigation: MetNet
Assays: Cancer Cell Extravasation Analysis - Data Linked, Clot Modeling Analysis - Data Linked, Device Imaging - Data Linked, Flow Cytometry - Data Linked, Flow Cytometry Analysis - Data Linked, Microfluidic Device Creation - Metadata, Permeability Analysis - Data Linked
Submitter: Charles Demurjian
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: MetNet
