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10 Tips for Setting Up a Successful Cell Sorting Experiment

Incorporating fluorescence-based cell sorting into your lab grants you powerful access to new research areas and rarer cell types without sacrificing efficiency or results. New, powerful techniques like CRISPR and single-cell analysis are enhanced by the isolation of specific cells. But isolating cell populations of the right quality and quantity is both challenging and time consuming. We offer some tips to set yourself up for success and get the most out of your sorts.
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ArticlesDrug Discovery and DevelopmentGeneral Interest

Globally Aware Genomes — an Informatics Challenge

The Human Genome Project was completed nearly two decades ago, in 2003. The primary vision of this project was to produce a human reference genome, a representative example of the set of genes in one idealized individual human. However, the currently available reference genomes do not represent the genetic diversity found across different human populations. As such, any downstream products (drugs therapies, personalized medicine, etc.) derived from the human genome will not accurately represent the vast majority of the human population.
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Expert Coffee Chats: Coffee Chat #4 – Droplet Digital PCR in Cell and Gene Therapy

Presented by: Matthew L. Turner, PhD, Field Application Scientist – ddPCR, NGC and qPCR, Tara Ellison, PhD, Senior Field Application Scientist

Date: June 17, 2020
Time: 9 AM, U.S. Pacific time

  • Robust methodology for viral titer using ddPCR
  • Precise copy number determination & improved confidence in acceptance criteria
  • Enhance your throughput and minimize hands-on time
  • Learn how ddPCR is used in other key applications
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Analyzing Carbohydrates

Carbohydrates are among the most important components of foods, providing energy as well as flavor, texture, and other physical properties. Identification and quantification of carbohydrates in food is commonly performed using high-performance liquid chromatography. Bio-Rad Aminex Ion Exchange Resins have become the industry standard for carbohydrate and organic acid analysis.
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ArticlesDrug Discovery and DevelopmentGeneral Interest

A Novel CAR-T Cell Therapy Approach Using Fluorescence-Activated Cell Sorting and Stem Cell Transplantation

Successful chimeric antigen receptor- (CAR-) T cell therapy requires a target antigen that is unique to cancer cells. But what happens when there are no unique antigens? Researchers at Columbia University Medical Center addressed this problem by replacing healthy non-target cells with genetically modified versions lacking the CAR-T cell target. Their results, published in PNAS, may provide a new avenue for treatment of some types of cancer.
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BioRad.io Podcast Series

The BioRad.io podcast series is focused on R&D informatics, introducing you to people responsible for implementing systems and technologies to a diverse set of use-cases. Join us every month to see what you can learn.
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ArticlesCell BiologyFeatured StoriesGeneral Interest

Improving CRISPR-Cas9 Gene Editing:
Tackling the HDR Inefficiency Problem

A recent publication showed that expression of a protein involved in homology-directed repair (HDR) can improve efficiency of CRISPR-Cas9 gene editing. Learn how manipulation of DNA repair pathways and improvements to gene editing workflows, such as the addition of cell sorting, can facilitate applications of CRISPR-Cas9 technology.
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ArticlesElectrophoresis/Western BlottingProtocols and Tips

Resolved — Comic Series

Follow along as a new starry-eyed graduate student learns the ins and outs of life as a research scientist, gaining valuable western blotting tips and tricks. Along for the ride are a seasoned postdoctoral fellow and traditional principal investigator.
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ArticlesDrug Discovery and DevelopmentGeneral Interest

Lab of the Future

In an effort to increase the return on investment of research and development, pharmaceutical companies are constantly looking for ways to reduce costs. One way to do this is to incorporate technology and minimize human interaction. As a result, scientists will have more time to focus on the design and analysis of experiments. How will the Lab of the Future reflect these changes?
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ArticlesFeatured StoriesGeneral Interest

Active Machine Learning in Drug Discovery

Drug discovery and development are both time and resource intensive since a lot of different compounds need to be screened across a lot of different targets. See how machine learning models can be used to predict screening results and how active learning algorithms can be used to efficiently select which experiments to perform in order to build those models.
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