A Generally Applicable CRISPR/Cas9 Screening Technique to Identify Host Genes Required for Virus Infection as Applied to Human Cytomegalovirus (HCMV) Infection of Epithelial Cells

Clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9 screens enable virus-host genetic screens to be undertaken in a more robust manner than previously possible and has had a tremendous impact in the field of virus study. Researchers can take advantage of the power of CRISPR genetic screens to discover virus-host interaction genes including host receptors and signaling molecules (Bazzone et al., mBio 10 (1): e02734-18, 2019; E et al., Proc Natl Acad Sci U S A 116(14):7043-7052, 2019; McDougall et al., Curr Opin Virol 29:87-100, 2018; Savidis et al., Cell Rep 16(1):232-246, 2016). In principle, lysis of cells late in the virus infection cycle allows one to screen for essential genes using pooled single-guide RNAs (sgRNAs) that collective target an entire host cell genome simply by identifying mutant cells that are resistant to virus-induced cell death. Here we focus on using this technique on epithelial cells to identify host targets required for human cytomegalovirus (HCMV) infection.

Development of a test that measures real-time HER2 signaling function in live breast cancer cell lines and primary cells

Background

Approximately 18–20% of all human breast cancers have overexpressed human epidermal growth factor receptor 2 (HER2). Standard clinical practice is to treat only overexpressed HER2 (HER2+) cancers with targeted anti-HER2 therapies. However, recent analyses of clinical trial data have found evidence that HER2-targeted therapies may benefit a sub-group of breast cancer patients with non-overexpressed HER2. This suggests that measurement of other biological factors associated with HER2 cancer, such as HER2 signaling pathway activity, should be considered as an alternative means of identifying patients eligible for HER2 therapies.

Methods

A new biosensor-based test (CELx^TM HSF) that measures HER2 signaling activity in live cells is demonstrated using a set of 19 human HER2+ and HER2– breast cancer reference cell lines and primary cell samples derived from two fresh patient tumor specimens. Pathway signaling is elucidated by use of highly specific agonists and antagonists. The test method relies upon well-established phenotypic, adhesion-related, impedance changes detected by the biosensor.

Results

The analytical sensitivity and analyte specificity of this method was demonstrated using ligands with high affinity and specificity for HER1 and HER3. The HER2-driven signaling quantified ranged 50-fold between the lowest and highest cell lines. The HER2+ cell lines were almost equally divided into high and low signaling test result groups, suggesting that little correlation exists between HER2 protein expression and HER2 signaling level. Unexpectedly, the highest HER2-driven signaling level recorded was with a HER2– cell line.

Conclusions

Measurement of HER2 signaling activity in the tumor cells of breast cancer patients is a feasible approach to explore as a biomarker to identify HER2-driven cancers not currently diagnosable with genomic techniques. The wide range of HER2-driven signaling levels measured suggests it may be possible to make a distinction between normal and abnormal levels of activity. Analytical validation studies and clinical trials treating HER2- patients with abnormal HER2-driven signaling would be required to evaluate the analytical and clinical validity of using this functional biomarker as a diagnostic test to select patients for treatment with HER2 targeted therapy. In clinical practice, this method would require patient specimens be delivered to and tested in a central lab.

Electronic supplementary material

The online version of this article (doi:10.1186/s12885-017-3181-0) contains supplementary material, which is available to authorized users.

Harvesting Human Prostate Tissue Material and Culturing Primary Prostate Epithelial Cells

In order to fully explore the biology of a complex solid tumor such as prostate cancer, it is desirable to work with patient tissue. Only by working with cells from a tissue can we take into account patient variability and tumor heterogeneity. Cell lines have long been regarded as the workhorse of cancer research and it could be argued that they are of most use when considered within a panel of cell lines, thus taking into account specified mutations and variations in phenotype between different cell lines. However, often very different results are obtained when comparing cell lines to primary cells cultured from tissue. It stands to reason that cells cultured from patient tissue represents a close-to-patient model that should and does produce clinically relevant data. This chapter aims to illustrate the methods of processing, storing and culturing cells from prostate tissue, with a description of potential uses.