Choosing the right cell-based screen from the plethora of options available can quickly become a complicated decision process. Here, we review two of the major options: cell panel and functional genomic screening. Cell panel screening provides drug response data across panels of genomically diverse cell lines from different tissue types. These screens can provide evidence of drug resistance and sensitivity; aid selection of efficacious drugs for treatment of a specific disease; stratify patients for clinical trials; repurpose drugs with clinically acceptable profiles and provide data to inform mechanism of action (MoA) studies. Functional Genomic Screening (FGS), where RNAi or CRISPR is used to modify gene expression, can also address many similar questions to cell panel screens, but from a genetic point of view. In addition, FGS can be used to find and validate novel drug targets, identify the genetic basis of drug resistance or sensitivity, and identify genetic dependencies (often referred to as synthetic lethality).
Can I use the HAP1 cell line for my research?
The HAP1 cell line has been applied across a wide range of biological processes, such as DNA damage repair pathway and stress responses, as well as in disease modeling. These selected articles show the broad applicability of the HAP1 cell line, and provide characterization data to help your research. If you would like to know more, please follow these links to our ready made cell lines and cell line engineering services.
The discovery of the CRISPR‐Cas system in bacteria has initiated an impressive array of innovations that have enabled the use of the RNA‐guided Cas9 nuclease in functional genomic screens. At Horizon, we have embraced these developments, as they provide new opportunities for drug target identification and validation. The case studies presented in this below highlight how we use this technology to successfully conduct genome wide and focused sgRNA library screens and to verify whether specific genes are required for the survival and/or proliferation of cancer cell lines.
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The clinical success rate of new oncology drugs is only 3.4% compared to 20.9% in other disease types (Wong et al,2018). One contributing factor to this issue is the testing systems used, with two-dimensional (2D) monolayer assay formats as the traditional mainstay of high throughput screening. Although 2D monolayer assays have identified many successful drugs, it is increasingly recognised that they do not accurately model key aspects of the three-dimensional (3D) tumour environment. Therefore, the adoption of high throughput screening approaches using 3D assays to complement 2D approaches could substantially improve prediction of clinical outcomes and reduce the high failure rate of cancer drugs in clinical trials.
HAP1 cell lines are a popular choice to validate a range of research experiments, but if you’ve never used them before, you want to be sure they are right for you.
CRISPR-Cas9 is a very versatile tool to discover more about your pathway or gene of interest. After all that hard work editing your cell line, you want to have the confidence to rely on your new research model. So, how do you verify your cell line is what you expect it to be?
There are a couple of areas to consider:
- Cell line clonality - a mixed population may obscure the effects of your desired gene edits
- Is the targeted gene edit affecting the cell line phenotype, or is this due to off-target effects?
Here are a few ways to add supporting data to validate your gene-engineering projects...
CRISPR-edited Cell Lines are a great tool to validate your antibodies before you start your experiments. They ensure you are using high quality reagents, so you can be confident in your results. We explain how you can use Cell Lines for validation, the challenges to be aware of and how we can help you overcome them.
A major study has been undertaken to gain a better understanding of thousands of mutations in the BRCA1 gene – a key gene in breast and ovarian cancers.
Published in Nature this month, the study by the Department of Genome Sciences at the University of Washington School of Medicine, set out to analyze nearly 4,000 variants in 13 exons of BRCA1 that are “of unknown significance”. These are variants that are not currently known to cause cancer, but theoretically could.
With over 25,000 individual Cell Lines in our new Express Catalog, we want to give you a helping hand with finding the ideal Cell Line Model for your research.
Using our new downloadable catalog, you can now search, filter and browse through our online cell model offering. There are two main collections available in our catalog:
- Knockout Cell Models
- Cancer-relevant Cell Lines
To help you find the right cell line for your research, here's some bite-size information on the data available to you...