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Use of MRI and microCT to evaluate gene therapy for the treatment of discogenic back pain
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MRI images were obtained using the 9.4T Bruker BioSpec system, equipped with 40 mm 1H quadrature volume resonator, and...
Exosome-Mediated Delivery of Small Molecules, RNA & DNA for Development of Novel Cancer Therapeutics
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Disha Moholkar of University of Louisville's Gupta Lab
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Emulate in vivo conditions – introduce shear flow to your experiments with BioFlux system
May 27, 2024
Most research is still conducted in vitro without the presence of flow. We use the BioFlux System to give you the...
Feb 21, 2017
Scientists performed an unbiased analysis of functional diversity in colorectal cancer cells and their microenvironment using RNA-seq profiling of over 1,500 unsorted single cells from 11 primary tumors and matched normal mucosa (NM). To robustly interpret single-cell transcriptomes, we developed novel algorithms for normalizing expression estimates (pQ), clustering cells (RCA) and identifying differentially expressed genes (NODES). RCA identified 6 major cell types and multiple subtypes within colorectal samples.
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