HPK1 Identified as Emerging Immuno-oncology Drug Target

Antibody-based immune checkpoint inhibitors remain a major focus of immuno-oncology drug research and development efforts because of their recent success in providing long-term anti-tumor responses. However, the range of response of different tumor types to these drugs is hugely varied. Small molecule kinase inhibitors that block signaling pathways involved in regulation of tumor immunity at multiple points in the “cancer immunity cycle” may provide alternate, effective therapeutics. One kinase that may be a target for such small molecule inhibitors is Hematopoietic Progenitor Kinase 1 or HPK1; the potential of this kinase as a therapeutic target was reviewed by Sawasdikosol and Burakoff (1). HPK1, also known as MAP4K1, is a member of the MAP kinase protein kinase family that negatively regulates signal transduction in T-cells, B-cells and dendritic cells of the immune system.

Artist rendering of what target engagement might look like for kinases like HPK1.
NanoBRET™ Target Engagement Assay (artist rendering)
Continue reading “HPK1 Identified as Emerging Immuno-oncology Drug Target”

Promega Partnering with UC-Davis Drought-Resistant Rice Project

The Foundation for Food and Agriculture Research (FFAR) announced on November 30 that they are awarding $1M to a project based at the University of California, Davis, to study protein kinases of rice plants. The team is led by Dr. Pamela Ronald, a leading expert in plant genetics who has engineered disease- and flood-resistant rice. This project aims to address the growing agricultural problem of water scarcity by gaining a better understanding of the role kinases play in enabling drought-resistance. Promega will be supporting this research by providing NanoBRET™ products to help characterize kinase inhibitors.

Principal Investigator Pamela Ronald, Ph.D. Photo Credit: Deanne Fitzmaurice

The research team will begin by screening over 1,000 human kinase inhibitors to determine which ones do interact with the plant kinome and, if applicable, which kinase(s) they inhibit. Once the compound library has been established, the team will assess the inhibitors’ phenotypic effects on rice to identify kinases that, when inhibited, positively impact root growth and development. The long-term goal is to use these findings to engineer drought-resistant rice.

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Increasing Drug Research and Development Efficiency Using a 4-point Screening Method to Determine Molecular Mechanism of Action

Fig 4. Four point MMOA screen for tideglusib and GW8510. Time dependent inhibition was evaluated by preincubation of TbGSK3β with 60 nM tideglusib and 6 nM GW-8510 with 10μM and 100μM ATP. (A). Tideglusib [60 nM] in 10μM ATP. (B). GW8510 [60 nM] in 10μM ATP. (C.) Tideglusib [60 nM] at 100μM ATP. (D.) GW8510 [60 nM] at 100μM ATP. All reactions preincubated or not preincubated with TbGSK3β for 30 min at room temperature. Experiments run with 10μM GSM peptide, 10μM ATP, and buffer. Minute preincubation (30 min) was preincubated with inhibitor, TbGSK3β, GSM peptide, and buffer. ATP was mixed to initiate reaction. No preincubation contained inhibitor, GSM peptide, ATP, and buffer. The reaction was initiated with TbGSK3β. Reactions were run at room temperature for 5 min and stopped at 80°C. ADP formed was measured by ADP-Glo kit. Values are mean +/- standard error. N = 3 for each experiment and experiments were run in duplicates. Control reactions contained DMSO and background was determined using a zero time incubation and subtracted from all reactions. Black = 30 min preincubation Grey = No preincubation.
Four point MMOA screen for tideglusib and GW8510.
Time dependent inhibition was evaluated by preincubation of TbGSK3β with 60 nM tideglusib and 6 nM GW-8510 with 10μM and 100μM ATP. (A). Tideglusib [60 nM] in 10μM ATP. (B). GW8510 [60 nM] in 10μM ATP. (C.) Tideglusib [60 nM] at 100μM ATP. (D.) GW8510 [60 nM] at 100μM ATP. All reactions preincubated or not preincubated with TbGSK3β for 30 min at room temperature.  Black = 30 min preincubation Grey = No preincubation.
The first small-molecule kinase inhibitor approved as a cancer therapeutic, imatinib mesylate (Gleevec® treatment), has been amazingly successful. However, a thorough understanding of its molecular mechanism of action (MMOA) was not truly obtained until more than ten years after the molecule had been identified.

Understanding the MMOA for a small-molecule inhibitor can play a major role in optimizing a drug’s development. The way a drug actually works–the kinetics of binding to the target molecule and how it competes with endogenous substrates of that target–ultimately determines whether or not a a candidate therapeutic can be useful in the clinic. Drugs that fail late in development are extremely costly.

Drug research and discovery for neglected tropical diseases suffer from a lack of a large commercial market to absorb the costs of late-stage drug development failures. It becomes very important to know as much as possible, simply and quickly, about MMOA for candidate molecules for these diseases that are devastating to large populations.

One such neglected topical disease is Human African trypanosomiasis (HAT, also known as sleeping sickness). Continue reading “Increasing Drug Research and Development Efficiency Using a 4-point Screening Method to Determine Molecular Mechanism of Action”

Making Drug Discovery More Efficient: Predicting Drug Side Effects in Early Screening Efforts

26911030-Laymans-KSPS-figure-WEB-R4Drug research and development is a complex and expensive process that begins with initial screening steps of candidate chemical compounds, and compounds that appear to have the desired potency against a specific cellular target or pathway are further evaluated. Candidate compounds that fail late in development or during clinical trials because of off-target effects are costly, and can be dangerous. Therefore drug developers not only need to ensure that a candidate compound is effective as a therapy, but also they need to predict any potential undesirable side effects due to off-target activities as early as possible in the drug discovery and development process. Continue reading “Making Drug Discovery More Efficient: Predicting Drug Side Effects in Early Screening Efforts”