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Overcoming hurdles in high-throughput profiling of cancer cell responses
Presenting case studies on how functional genomic screening is used to find therapeutic targets, identify patient populations, uncover MoA, investigate drug combinations, and reveal drug resistance and sensitivity
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CRISPR-Cas9 screening: a powerful approach to advance drug discovery
Find out about the potential of CRISPR-Cas9 screening for drug discovery in this white paper.
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How CRISPR-based functional genomics is transforming drug discovery
Exploring how functional genomics is used in preclinical drug discovery with target identification, drug response mechanisms, and in vivo tumor biology.
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Deciphering the role of neutrophils in virus-induced respiratory disease
Preclinical imaging of neutrophilic response in viral infection with IVISense™ Neutrophil Elastase fluorescent probes.
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Bioluminescence Resonance Energy Transfer (BRET) to monitor protein-protein interactions
The ability to image PPIs in vivo has important implications for a wide variety of biological research endeavors, including drug discovery and molecular medicine.
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Non-invasive optical imaging for viral research and novel therapeutic and vaccine development
Non-invasive optical image using IVIS ® systems for pre-clinical viral research.
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Improving long-read next generation sequencing (NGS): What you should know about sample and library preparation.
Improving long-read next generation sequencing (NGS): What you should know about sample and library preparation.
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Dual NIR imaging of β-Amyloid plaques and Tau tangles provides potential insights into Alzheimer’s disease
The use of Dual NIR Imaging of β-Amyloid Plaques and Tau Tangles to provide Potential Insights into Alzheimer’s Disease
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Understanding the ‘how’ and ‘why’ of spectral unmixing
Understanding the “why” and “how” of using spectral unmixing in your in vivo imaging studies
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The role of in vivo imaging in drug discovery and development
Preclinical in vivo imaging helps to ensure that smart choices are made by providing go/no-go decisions and de-risking drug candidates early on, significantly reducing time to the clinic and lowering costs all while maximizing biological understanding.
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