Fabio Gasparri

The TPM3-NTRK1 rearrangement is a recurring event in colorectal carcinoma and is associated with tumor sensitivity to TRKA kinase inhibition.

The NTRK1 gene encodes Tropomyosin‐related kinase A (TRKA), the high‐affinity Nerve Growth Factor Receptor. NTRK1 was originally isolated from a colorectal carcinoma (CRC) sample as component of a somatic rearrangement (TPM3‐NTRK1) resulting in expression of the oncogenic chimeric protein TPM3‐TRKA, but there has been no subsequent report regarding the relevance of this oncogene in CRC. The KM12 human CRC cell line expresses the chimeric TPM3‐TRKA protein and is hypersensitive to TRKA kinase inhibition. We report the detailed characterization of the TPM3‐NTRK1 genomic rearrangement in KM12 cells and through a cellular screening approach, the identification of NMS‐P626, a novel highly potent and selective TRKA inhibitor. NMS‐P626 suppressed TPM3‐TRKA phosphorylation and downstream signaling in KM12 cells and showed remarkable antitumor activity in mice bearing KM12 tumors.

Thymidine kinase 1 expression defines an activated G1 state of the cell cycle as revealed with site-specific antibodies and ArrayScan™ assays

Thymidine kinase 1 (TK1) is a DNA salvage enzyme involved in the synthesis of thymidine triphosphate needed during S phase. Although TK1 has been utilized as a cell proliferation marker for many years no well-characterized antibodies are available. The preparation and properties of two types of poly- and monoclonal anti-TK1 peptide antibodies are described and they are used to determine the levels of TK1 in intact cells. Expression of TK1, c-fos, cyclin B1, Ki67, phosphorylated histone H3, phosphorylated ribosomal protein S6, as well as bromodeoxyuridine (BrdU) incorporation in human normal dermal fibroblast cultures were studied with high-content ArrayScan fluorescence microscopy. The levels of TK1 increased 6-7h after serum re-addition to starved cells as they passed through G1, S and G2/M phases, which was earlier than the increase in Ki67 protein levels and before BrdU incorporation was detected. Thus, a population of activated G1 cells with high TK1 and low Ki67 expression could be identified and their role in cell proliferation can now be clarified.

High-Content Analysis of Kinase Activity in Cells

High-content analysis (HCA) is a term used to describe techniques involving multiplexed analysis of fluorescent markers to measure multiple cellular responses to biological stimuli or drug treatment. HCA is usually based on automated microscopy or related technologies, and its value lies in providing multiparametric information on single cells within a population. During the last decade, several HCA approaches have been developed and applied to assess cellular mechanism of action of pharmacologically relevant compounds identified through biochemical screening or similar in vitro methods. With automation and instrument development, these approaches have evolved to the extent that the technique is now routinely used in screening applications, including primary HTS on compound collections. Here, we review the field and discuss in particular the application of HCA to the discovery of small molecule inhibitors targeting kinases which are implicated in Oncology.

Cell Proliferation Method: Click Chemistry Based on BrdU Coupling for Multiplex Antibody Staining

Determination of incorporation of the thymidine analog 5‐bromo‐2′‐deoxyuridine (BrdU) into DNA is a widely used method to analyze the cell cycle (see UNIT 7.7). However, DNA denaturation is required for BrdU detection with the consequence that most protein epitopes are destroyed and their immunocytochemical detection for multiplex analysis is not possible. A novel assay is presented for identifying cells in active S‐phase that does not require the DNA denaturation step but nevertheless detects BrdU. For this purpose, cells were pulsed for a short time by an alkenyl deoxyuridine (5‐ethynyl‐2′‐deoxyuridine, EdU), which is incorporated into DNA. The nucleotide exposed ethynyl residue was then derivatized by a copper‐catalyzed cycloaddition reaction (“click chemistry” coupling) using a BrdU azide probe. The resulting DNA‐bound bromouracil moieties were then detected by commercial anti‐BrdU monoclonal antibodies without the need for a denaturation step. This method has been tested using several cell lines and is preferred over traditional BrdU detection since it is more sensitive and allows multicolor and multiplex analysis in FCM and imaging. Curr. Protoc. Cytom. 58:7.34.1‐7.34.13.

The development of high-content screening (HCS) technology and its importance to drug discovery

ABSTRACT Introduction: High-content screening (HCS) was introduced about twenty years ago as a promising analytical approach to facilitate some critical aspects of drug discovery. Its application has spread progressively within the pharmaceutical industry and academia to the point that it today represents a fundamental tool in supporting drug discovery and development. Areas covered: Here, the authors review some of significant progress in the HCS field in terms of biological models and assay readouts. They highlight the importance of high-content screening in drug discovery, as testified by its numerous applications in a variety of therapeutic areas: oncology, infective diseases, cardiovascular and neurodegenerative diseases. They also dissect the role of HCS technology in different phases of the drug discovery pipeline: target identification, primary compound screening, secondary assays, mechanism of action studies and in vitro toxicology. Expert opinion: Recent advances in cellular assay technologies, such as the introduction of three-dimensional (3D) cultures, induced pluripotent stem cells (iPSCs) and genome editing technologies (e.g., CRISPR/Cas9), have tremendously expanded the potential of high-content assays to contribute to the drug discovery process. Increasingly predictive cellular models and readouts, together with the development of more sophisticated and affordable HCS readers, will further consolidate the role of HCS technology in drug discovery.

Highly Multiplexed Phenotypic Imaging for Cell Proliferation Studies

The application of multiplexed imaging technologies in phenotypic drug discovery (PDD) enables profiling of complex cellular perturbations in response to drug treatment. High-content analysis (HCA) is among the most pursued approaches in PDD, with a proven capability to identify compounds with a given cellular mechanism of action (MOA), as well as to unveil unexpected drug cellular activities. The ability of fluorescent image-based cytometric techniques to dissect the phenotypic heterogeneity of cell populations depends on the degree of multiplexing achievable. At present, most high-content assays employ up to four cellular markers separately detected in distinct fluorescence channels. We explored the possibility to increase HCA multiplexing through analysis of multiple proliferation markers in the same fluorescence channel by taking advantage of the different timing of antigen appearance during the cell cycle, or differential intracellular localization. Simultaneous analysis of DAPI staining and five immunofluorescence markers (BrdU incorporation, active caspase-3, phospho-histone H3, phospho-S6, and Ki-67) resulted in the first six-marker high-content assay readily applicable to compound MOA studies. This approach allows detection of rare cell subpopulations, unveiling a high degree of phenotypic heterogeneity in exponentially growing cell cultures and variability in the individual cell response to antiproliferative drugs.

Cell Line Identity Finding by Fingerprinting, an Optimized Resource for Short Tandem Repeat Profile Authentication

The generation of biological data on wide panels of tumor cell lines is recognized as a valid contribution to the cancer research community. However, research laboratories can benefit from this knowledge only after the identity of each individual cell line used in the experiments is verified and matched to external sources. Among the methods employed to assess cell line identity, DNA fingerprinting by profiling Short Tandem Repeat (STR) at variable loci has become the method of choice. However, the analysis of cancer cell lines is sometimes complicated by their intrinsic genetic instability, resulting in multiple allele calls per locus. In addition, comparison of data across different sources must deal with the heterogeneity of published profiles both in terms of number and type of loci used. The aim of this work is to provide the scientific community a homogeneous reference dataset for 300 widely used tumor cell lines, profiled in parallel on 16 loci. This large dataset is interfaced with an in-house developed software tool for Cell Line Identity Finding by Fingerprinting (CLIFF), featuring an original identity score calculation, which facilitates the comparison of STR profiles from different sources and enables accurate calls when multiple loci are present. CLIFF additionally allows import and query of proprietary STR profile datasets.

Discovery of 2-(cyclohexylmethylamino)pyrimidines as a new class of reversible valosine containing protein inhibitors.

Valosine-containing protein (VCP), also known as p97 or cdc48 in yeast, is a highly abundant protein belonging to the AAA ATPase family involved in a number of essential cellular functions, including ubiquitin-proteasome mediated protein degradation, Golgi reassembly, transcription activation, and cell cycle control. Altered expression of VCP has been detected in many cancer types sometimes associated with poor prognosis. Furthermore, VCP mutations are causative of some neurodegenerative disorders. In this paper we report the discovery, synthesis, and structure-activity relationships of substituted 2-aminopyrimidines, representing a new class of reversible VCP inhibitors. This class of compounds, identified in a HTS campaign against recombinant VCP, has been progressively expanded and manipulated to increase biochemical potency and gain cellular activity.

Identification of thyroid tumor cell vulnerabilities through a siRNA-based functional screening

The incidence of thyroid carcinoma is rapidly increasing. Although generally associated with good prognosis, a fraction of thyroid tumors are not cured by standard therapy and progress to aggressive forms for which no effective treatments are currently available. In order to identify novel therapeutic targets for thyroid carcinoma, we focused on the discovery of genes essential for sustaining the oncogenic phenotype of thyroid tumor cells, but not required to the same degree for the viability of normal cells (non-oncogene addiction paradigm). We screened a siRNA oligonucleotide library targeting the human druggable genome in thyroid cancer BCPAP cell line in comparison with immortalized normal human thyrocytes (Nthy-ori 3–1). We identified a panel of hit genes whose silencing interferes with the growth of tumor cells, while sparing that of normal ones. Further analysis of three selected hit genes, namely Cyclin D1, MASTL and COPZ1, showed that they represent common vulnerabilities for thyroid tumor cells, as their inhibition reduced the viability of several thyroid tumor cell lines, regardless the histotype or oncogenic lesion. This work identified non-oncogenes essential for sustaining the phenotype of thyroid tumor cells, but not of normal cells, thus suggesting that they might represent promising targets for new therapeutic strategies.

Image-based high-content reporter assays: limitations and advantages

Transcription factors are promising targets in many therapeutic areas, and reporter assays represent a mainstay of the cellular approaches utilized to study their functions. Traditional reporter assays lend themselves to screening applications, but do suffer from some disadvantages. During the past decade, the development of image-based high-content reporter assays has boosted transcription factor drug discovery and contributed to the understanding of their functions and molecular dynamics. This review summarizes and discusses the technical approaches currently employed in high-content reporter assays.