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Treatment resistance is associated with tumor cells molecular plasticity. In metastatic castration resistant prostate...
Monitoring cancer treatments with immuno-PET webinar
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In this webinar, Dr Gabriela Kramer-Marek, Team Leader in Preclinical Molecular Imaging The Institute of Cancer...
Izon qEV - The fastest & most effective Exosome isolation
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Extracellular vesicles (EVs) are prevalent in biological fluids and are of great interest to researchers ...
Enhanced uptake of luminescent quantum dots by live cells
Mar 1, 2019
The steady progress made over the past threedecades in growing a variety of inorganic nanomaterials, with discreet...
Fat-water separation Imaging in Preclinical MRI
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Non-invasive in vivo phenotyping of adipose tissue deposits in small animal models is of great importance in...
New technique for dynamic monitoring of liquid tumor Cytotoxicity
Feb 12, 2019
To develop and validate immuno-oncology therapies, scientists must understand the full dynamics of cytotoxic effectors...
Small animal 13C-hyperpolarized MRI
Feb 8, 2019
13C-Hyperpolarized molecules provide a unique signature for molecular processes relevant to a range of disease...
Oncolytic chimeric orthopoxvirus causes regression of pancreatic cancer xenografts
Jan 30, 2019
Pancreatic ductal adenocarcinoma has been increasing by 0.5% per year in the United States. This study describes 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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