Screening Of Chemical Libraries Research Articles

Abstract 5346: Discovery of new targeted protein degraders using DNA-encoded chemistry

Abstract Bispecific degraders (PROTACs) of ERα are expected to be advantageous over current inhibitors of ERα signaling (aromatase inhibitors/SERMs/SERDs) used to treat ER+ breast cancer. Information from DNA-encoded chemical library screening provides a method to identify novel PROTAC binding features as the linker positioning, and binding elements are determined directly from the screen. After screening ∼120 billion DNA-encoded molecules with ERα WT and 3 gain-of-function mutants, with and without estradiol to identify features that enrich ERα competitively, the off-DNA synthesized small molecule exemplars exhibited nanomolar ERα binding, antagonism, and degradation. Click chemistry synthesis on an alkyne E3 ligase engagers panel and an azide variant that rapidly generated bispecific nanomolar degraders of ERα, with PROTACs inhibiting ER+ MCF7 tumor growth in a mouse xenograft model of breast cancer. This study validates this approach toward identifying novel bispecific degrader leads from DECL screening with minimal optimization. Citation Format: Anthony D. Keefe, Jeremy S. Disch, Jennifer Duffy, Esther C. Lee, Diana Gikunju, Betty Chan, Benjamin D. Levin, Michael I. Monteiro, Sarah A. Talcott, Anthony Lau, Fei Zhou, Anton Kozhushnyan, Neil E. Westlund, Patrick B. Mullins, Yan Yu, Moritz von Rechenberg, Junyi Zhang, Yelena Arnautova, Yanbin Liu, Ying Zhang, Andrew J. McRiner, Anna Kohlmann, Matthew A. Clark, John W. Cuozzo, Christelle Huguet, Shilpi Arora. Discovery of new targeted protein degraders using DNA-encoded chemistry. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5346.

Repositioning Cannabinoids and Terpenes as Novel EGFR-TKIs Candidates for Targeted Therapy Against Cancer: A virtual screening model using CADD and biophysical simulations

This study examines the potential of Cannabis sativa L. plants to be repurposed as therapeutic agents for cancer treatment through designing of hybrid Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs). A set of 50 phytochemicals was taken from Cannabinoids and Terpenes and subjected for screening using Semi-flexible and Flexible Molecular Docking methods, MM-GBSA free binding energy computations, and pharmacokinetic/pharmacodynamic (ADME-Tox) predictions. Nine promising phytochemicals, Cannabidiolic acid (CBDA), Cannabidiol (CBD), Tetrahydrocannabivarin (THCV), Dronabinol (Δ-9-THC), Delta-8-Tetrahydrocannabinol (Δ-8-THC), Cannabicyclol (CBL), Delta9-tetrahydrocannabinolic acid (THCA), Beta-Caryophyllene (BCP), and Gamma-Elemene (γ-Ele) were identified as potential EGFR-TKIs natural product candidates for cancer therapy. To further validate these findings, a set of Molecular Dynamics simulations were conducted over a 200 ns trajectory. This hybrid early drug discovery screening strategy has the potential to yield a new generation of EGFR-TKIs based on natural cannabis products, suitable for cancer therapy. In addition, the application of this computational strategy in the virtual screening of both natural and synthetic chemical libraries could support the discovery of a wide range of lead drug agents to address numerous diseases.

Structure-based virtual screening of chemical libraries as potential MELK inhibitors and their therapeutic evaluation against breast cancer

New targeted therapy for triple negative breast cancer (TNBC) is an urgent need, as advanced disease responds poorly to conventional chemotherapy. Genomic and proteomic studies are currently investigating new genes and proteins as promising therapeutic targets. One of such therapeutic targets is a cell cycle regulatory kinase; Maternal Embryonic Leucine Zipper Kinase (MELK), overexpressed in TNBC and correlated with cancer development. We performed molecular docking for virtual screening of chemical libraries (phytochemicals/synthetic drugs) against MELK protein structure and identified 8 phytoconstituents (isoxanthorin, emodin, gamma-coniceine, quercetin, tenuazonic acid, isoliquiritigenin, kaempferol, and Nobiletin) and 8 synthetic drugs (tetrahydrofolic acid, alfuzosin, lansoprazole, ketorolac, ketoprofen, variolin B, orantinib, and firestein) as potential hits interacting with the active site residues of MELK based on bound poses, hydrogen bond, hydrophobic interactions and MM/GBSA binding free energies. ADME and drug-likeness prediction further identified few hits with high drug-likeness properties and were further tested for anti-tumorigenic potential. Two phytochemicals isoliquiritigenin and emodin demonstrated growth inhibitory effects on TNBC MDA-MB-231 cells while much lower effect was observed on non-tumorigenic MCF-10A mammary epithelial cells. Treatment with both molecules downregulated MELK expression, induced cell cycle arrest, accumulated DNA damage and enhanced apoptosis. The study identified isoliquiritigenin and emodin as potential MELK inhibitors and provides a basis for subsequent experimental validation and drug development against cancer.

Design of New Dispersants Using Machine Learning and Visual Analytics

Artificial intelligence (AI) is an emerging technology that is revolutionizing the discovery of new materials. One key application of AI is virtual screening of chemical libraries, which enables the accelerated discovery of materials with desired properties. In this study, we developed computational models to predict the dispersancy efficiency of oil and lubricant additives, a critical property in their design that can be estimated through a quantity named blotter spot. We propose a comprehensive approach that combines machine learning techniques with visual analytics strategies in an interactive tool that supports domain experts' decision-making. We evaluated the proposed models quantitatively and illustrated their benefits through a case study. Specifically, we analyzed a series of virtual polyisobutylene succinimide (PIBSI) molecules derived from a known reference substrate. Our best-performing probabilistic model was Bayesian Additive Regression Trees (BART), which achieved a mean absolute error of 5.50±0.34 and a root mean square error of 7.56±0.47, as estimated through 5-fold cross-validation. To facilitate future research, we have made the dataset, including the potential dispersants used for modeling, publicly available. Our approach can help accelerate the discovery of new oil and lubricant additives, and our interactive tool can aid domain experts in making informed decisions based on blotter spot and other key properties.

Abstract P6-10-12: Discovery and Development of Next-Generation Estrogen Receptor Mutant Inhibitors using DNA-Encoded Chemical Library Screening

Abstract Background: Activating somatic ESR1 mutations Y537S and D538G occur more frequently in endocrine therapy-resistant metastatic breast cancer, which is associated with an aggressive phenotype and poor survival in breast cancer patients. These gain of function mutant receptors are constitutively active and allow resistance to first-line endocrine therapies. Therefore, the development of next-generation small molecule drugs targeting mutant estrogen receptor (ER) is an important priority. Here, we searched the small molecule inhibitors for Y537S and D538D ER mutants using DNA-encoded chemical library screening. Methods: Wild type (WT) and mutant ER ligand binding domain (LBD) proteins were expressed in E. coli. The soluble proteins were purified by Ni-NTA chromatography followed by anion exchange and size exclusion chromatography. Homogeneous time-resolved fluorescence (HTRF) and fluorescent polarization (FP) assays were performed in these purified proteins. We employed a DNA-encoded chemical library affinity selection using our in-house collection of 6 billion compounds. Hit compounds were resynthesized and validated in biochemical assays. Finally, we have performed functional studies in CRISPR-Cas9 knock-in of Y537S and D538G mutant MCF-7 breast cancer cells. Results: We have successfully purified microgram amounts of ERα LBD of WT, Y537S, and D538G proteins. To test whether the purified WT and mutant proteins are active, HTRF and FP assays were performed in the presence and absence of estradiol and 4OH tamoxifen. Steroid receptor coactivator 3 (SRC3) peptide binding to the WT ER protein occurred only in the presence of estradiol. However, Y537S and D538G proteins are recruited by the SRC3 peptide in the absence of estradiol, indicating that these mutants are constitutively active and bind to SRC3. Furthermore, an in vitro biochemical FP assay was also established for WT and mutants in the presence of estradiol and 4OH tamoxifen. The screen of our multibillion small molecule collection of DNA-encoded chemical libraries identified several hits in WT and mutant ER. To confirm the selection output, we synthesized off-DNA compounds and validated these in biochemical and cell-based studies. We have identified that the compounds, CDD-1272 and CDD-1274, are active in HTRF and FP assays. Furthermore, these compounds inhibit WT and mutant cell growth in the presence of estradiol. More importantly, CDD-1274 degrades ER mutant and cyclin D1 proteins. In addition, CDD-1274 induced p21 protein expression in WT and mutant cells. Conclusions: We have identified potent novel ER mutant binders by using our DNA-encoded chemical library platform. Our compounds are active in biochemical and ER mutant cell lines, suggesting these molecules are potential chemical probes to explore in in vivo models of breast cancer. Support: NIH/NCI R03 CA259664 and CPRIT RP220524 to MP. Citation Format: Murugesan Palaniappan, Kurt M. Bohren, Yong Wang, Damian W. Young, Suzanne A. Fuqua, Martin M. Matzuk. Discovery and Development of Next-Generation Estrogen Receptor Mutant Inhibitors using DNA-Encoded Chemical Library Screening [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P6-10-12.

Successful Identification of a Novel Therapeutic Compound for Hepatocellular Carcinoma Through Screening of ADAM9 Inhibitors.

MHC-class I-related chain A (MICA) functions as a ligand for natural killer group D, an activating receptor on natural killer (NK) cells, and its expression correlates with the carcinogenesis and progression of hepatocellular carcinoma (HCC). Although membranous MICA (mMICA) activates NK cells, soluble forms of MICA (sMICA), shed by cleaving enzymes, such as A disintegrin and metalloprotease (ADAM) 9, suppress NK cells. Therefore, the prevention of MICA shedding through the inhibition of ADAM9 has the potential to activate cancer immunity. Although we have discovered several ADAM inhibitors, many did not sufficiently activate NK cells without being cytotoxic, and, thus, new ADAM9 inhibitor candidates are needed. To identify possible compounds for drug development, chemical library screening (a total of 741 compounds) was conducted using a fluorescence assay. Compounds with reduced fluorescence intensity were used as hit compounds in a subsequent analysis. Their impact on sMICA and mMICA in HCC cell lines was assessed using ELISA and flow cytometry, respectively. The cytotoxicity of NK cells was also evaluated by co-culturing NK cells with HCC cells. CCL347, a symmetrical compound with five benzene rings, was identified as a hit compound. CCL347 significantly reduced sMICA levels in the culture medium supernatant with negligible cytotoxicity. Although mMICA was also reduced, CCL347 successfully enhanced NK cell cytotoxicity in co-cultures of NK cells and HCC cells. CCL347 has potential as a novel therapeutic drug for HCC.

Luteolin protects DYT-PRKRA cells from apoptosis by suppressing PKR activation.

DYT-PRKRA is a movement disorder caused by mutations in the PRKRA gene, which encodes for PACT, the protein activator of interferon-induced, double-stranded RNA (dsRNA)-activated protein kinase PKR. PACT brings about PKR's catalytic activation by a direct binding in response to stress signals and activated PKR phosphorylates the translation initiation factor eIF2α. Phosphorylation of eIF2α is the central regulatory event that is part of the integrated stress response (ISR), an evolutionarily conserved intracellular signaling network essential for adapting to environmental stresses to maintain healthy cells. A dysregulation of either the level or the duration of eIF2α phosphorylation in response to stress signals causes the normally pro-survival ISR to become pro-apoptotic. Our research has established that the PRKRA mutations reported to cause DYT-PRKRA lead to enhanced PACT-PKR interactions causing a dysregulation of ISR and an increased sensitivity to apoptosis. We have previously identified luteolin, a plant flavonoid, as an inhibitor of the PACT-PKR interaction using high-throughput screening of chemical libraries. Our results presented in this study indicate that luteolin is markedly effective in disrupting the pathological PACT-PKR interactions to protect DYT-PRKRA cells against apoptosis, thus suggesting a therapeutic option for using luteolin to treat DYT-PRKRA and possibly other diseases resulting from enhanced PACT-PKR interactions.

Chemical Basis of Combination Therapy to Combat Antibiotic Resistance.

The antimicrobial resistance crisis is a global health issue requiring discovery and development of novel therapeutics. However, conventional screening of natural products or synthetic chemical libraries is uncertain. Combination therapy using approved antibiotics with inhibitors targeting innate resistance mechanisms provides an alternative strategy to develop potent therapeutics. This review discusses the chemical structures of effective β-lactamase inhibitors, outer membrane permeabilizers, and efflux pump inhibitors that act as adjuvant molecules of classical antibiotics. Rational design of the chemical structures of adjuvants will provide methods to impart or restore efficacy to classical antibiotics for inherently antibiotic-resistant bacteria. As many bacteria have multiple resistance pathways, adjuvant molecules simultaneously targeting multiple pathways are promising approaches to combat multidrug-resistant bacterial infections.

Discovery of Highly Potent and BMPR2-Selective Kinase Inhibitors Using DNA-Encoded Chemical Library Screening.

The discovery of monokinase-selective inhibitors for patients is challenging because the 500+ kinases encoded by the human genome share highly conserved catalytic domains. Until now, no selective inhibitors unique for a single transforming growth factor β (TGFβ) family transmembrane receptor kinase, including bone morphogenetic protein receptor type 2 (BMPR2), have been reported. This dearth of receptor-specific kinase inhibitors hinders therapeutic options for skeletal defects and cancer as a result of an overactivated BMP signaling pathway. By screening 4.17 billion "unbiased" and "kinase-biased" DNA-encoded chemical library molecules, we identified hits CDD-1115 and CDD-1431, respectively, that were low-nanomolar selective kinase inhibitors of BMPR2. Structure-activity relationship studies addressed metabolic lability and high-molecular-weight issues, resulting in potent and BMPR2-selective inhibitor analogs CDD-1281 (IC50 = 1.2 nM) and CDD-1653 (IC50 = 2.8 nM), respectively. Our work demonstrates that DNA-encoded chemistry technology (DEC-Tec) is reliable for identifying novel first-in-class, highly potent, and selective kinase inhibitors.

FSHR activation through small molecule modulators: Mechanistic insights from MD simulations

Follicle-stimulating hormone receptor (FSHR) is a glycoprotein hormone receptor that plays a vital role in reproduction, cancer progression and osteoporosis. Owing to its therapeutic importance, several small molecule modulators have been identified by researchers through high throughput studies that usually include virtual screening of chemical libraries followed by in vitro validation through radio-ligand binding assays, cAMP accumulation and luciferase-based luminescence assays. The binding site of these modulators and structural changes that accompany modulator binding remains elusive. Here, we address these aspects through molecular docking and MD simulations on well-studied FSHR modulators and comparing the domain motions between agonist/FSH bound and antagonist bound FSHR structures. It was observed that agonist and antagonist modulators bind to the same site, but interact with distinct residues in transmembrane domain(TMD). FSHR(TMD) residues Ile522, Ala595, Ile602 and Val604 were found to interact only with agonist. Notably, these residues are conserved in the close homolog luteinizing hormone/choriogonadotropin receptor (LHCGR) and participate in interaction with its agonist Org43553. We observed distinctly prominent domain motions and conformational changes in TM helices 3, 4 and 6 for agonist bound FSHR structure. These structural changes have also been reported for LHCGR, and few GPCR members suggesting an important and well conserved mechanism of GPHR activation that could be exploited for design of novel modulators.

Small Molecule Screening Strategies from Lead Identification to Validation.

Festa, F., Labaer, J. Kinase inhibitor screening in self-assembled human protein microarrays. Journal of Visualized Experiments. 152, e59886 (2019). Stockman, B. J. et al. NMR-Based activity assays for determining compound inhibition, IC50 values, artifactual activity, and whole-cell activity of nucleoside ribohydrolases. Journal of Visualized Experiments. 148, e59928 (2019). Gao, S. et al. A high-throughput assay for the prediction of chemical toxicity by automated phenotypic profiling of Caenorhabditis elegans. Journal of Visualized Experiments. 145, e59082 (2019). Axelsson, H., Almqvist, H., Seashore-Ludlow, B. Using high content imaging to quantify target engagement in adherent cells. Journal of Visualized Experiments. 141, e58670 (2018). Chorba, J. S., Galvan, A. M., Shokat, K. M. A high-throughput luciferase assay to evaluate proteolysis of the single-turnover protease PCSK9. Journal of Visualized Experiments. 138, e58265 (2018). Sullivan, C. et al. Using zebrafish models of human influenza A virus infections to screen antiviral drugs and characterize host immune cell responses. Journal of Visualized Experiments. 119, e55235 (2017). Tiemann, K., Garri, C., Wang, J., Clarke, L., Kani, K. Assessment of resistance to tyrosine kinase inhibitors by an interrogation of signal transduction pathways by antibody arrays. Journal of Visualized Experiments. 139, e57779 (2018). Radnai, L., Stremel, R. F., Sellers, J. R., Rumbaugh, G., Miller, C. A. A semi-high-throughput adaptation of the NADH-coupled ATPase assay for screening small molecule inhibitors. Journal of Visualized Experiments. 150, e60017 (2019). Nandha Premnath, P., Craig, S., McInnes, C. Development of inhibitors of protein-protein interactions through REPLACE: Application to the design and development non-ATP competitive CDK inhibitors. Journal of Visualized Experiments. 104, e52441 (2015). Chen, E. W., Ke, C. Y., Brzostek, J., Gascoigne, N. R. J., Rybakin, V. Identification of mediators of T-cell receptor signaling via the screening of chemical inhibitor libraries. Journal of Visualized Experiments. 143, e58946 (2019). Takakusagi, Y. Biosensor-based high throughput biopanning and bioinformatics analysis strategy for the global validation of drug-protein interactions. Journal of Visualized Experiments. 166, e61873 (2020). Riching, K. M., Mahan, S. D., Urh, M., Daniels, D. L. High-Throughput cellular profiling of targeted protein degradation compounds using HiBiT CRISPR cell lines. Journal of Visualized Experiments. 165, e61787 (2020).

Tranilast protects pancreatic β-cells from palmitic acid-induced lipotoxicity via FoxO-1 inhibition

Tranilast, an anti-allergic drug used in the treatment of bronchial asthma, was identified as an inhibitor of the transcription factor Forkhead box O-1 (FoxO-1) by high throughput chemical library screening in the present study. Based on FoxO-1’s role in apoptotic cell death and differentiation, we examined the effect of tranilast on palmitic acid (PA)-induced cell damage in INS-1 cells. Tranilast substantially inhibited lipoapoptosis and restored glucose-stimulated insulin secretion under high PA exposure. Moreover, PA-mediated downregulation of PDX-1, MafA, and insulin expression was attenuated by tranilast. PA-induced oxidative and ER stress were also reduced in the presence of tranilast. These protective effects were accompanied by increased phosphorylation and decreased nuclear translocation of FoxO-1. Conversely, the effects of tranilast were diminished when treated in transfected cells with FoxO-1 phosphorylation mutant (S256A), suggesting that the tranilast-mediated effects are associated with inactivation of FoxO-1. Examination of the in vivo effects of tranilast using wild type and diabetic db/db mice showed improved glucose tolerance along with FoxO-1 inactivation in the pancreas of the tranilast-treated groups. Thus, we report here that tranilast has protective effects against PA-induced lipotoxic stress in INS-1 cells, at least partly, via FoxO-1 inactivation, which results in improved glucose tolerance in vivo.

Discovery of small molecule inhibitors of Mycobacterium tuberculosis ClpC1: SAR studies and antimycobacterial evaluation

The emergence of drug-resistant strains of Mycobacterium tuberculosis (Mtb), the causative agent of tuberculosis (TB) in humans, is a primary reason for treatment failure. Currently, only limited options are available for the management of multi-drug resistant TB, warranting the design of novel anti-TB drugs by exploiting newer targets. One of the caseinolytic protease (Clp) machinery components, an unfoldase known as ClpC1, has emerged as a distinct anti-TB drug target owing to its essential role in the pathogen's survival. The naturally occurring cyclic peptides targeting the Mtb ClpC1, exhibit potent antimycobacterial activity. However, the large, complex, and poor synthetic tractability of these peptides limit their clinical application. Identification of small molecule inhibitors of Mtb ClpC1 will be useful for future drug development. Here, we report the discovery of a bisquinoline chemotype from the screening of a small molecule chemical library against Mtb ClpC1. The hit molecule binds with ClpC1 and exhibits dose-dependent inhibition of its enzymatic activity by direct binding. The in vitro growth of Mtb is inhibited by the hit molecule at a minimum inhibitory concentration of 12.5 µM. Investigation of the structure–activity relationship by chemical synthesis underlines the requirement of the two quinoline rings, 9/10 carbon linker, and the importance of basic ring nitrogen for its inhibitory activity. To our knowledge, this is the first report on the systematic analysis of small molecule inhibitors of Mtb ClpC1.

A single cell-based computational platform to identify chemical compounds targeting desired sets of transcription factors for cellular conversion.

Cellular conversion can be induced by perturbing a handful of key transcription factors (TFs). Replacement of direct manipulation of key TFs with chemical compounds offers a less laborious and safer strategy to drive cellular conversion for regenerative medicine. Nevertheless, identifying optimal chemical compounds currently requires large-scale screening of chemical libraries, which is resource intensive. Existing computational methods aim at predicting cell conversion TFs, but there are no methods for identifying chemical compounds targeting these TFs. Here, we develop a single cell-based platform (SiPer) to systematically prioritize chemical compounds targeting desired TFs to guide cellular conversions. SiPer integrates a large compendium of chemical perturbations on non-cancer cells with a network model and predicted known and novel chemical compounds in diverse cell conversion examples. Importantly, we applied SiPer to develop a highly efficient protocol for human hepatic maturation. Overall, SiPer provides a valuable resource to efficiently identify chemical compounds for cell conversion.

Drug Target Elucidation Through Isolation and Analysis of Drug-Resistant Mutants in Cryptococcus neoformans.

Drug target identification is an essential component to antifungal drug development. Many methods, including large chemical library screening, natural product screening, and drug repurposing efforts, can identify compounds with favorable in vitro antifungal activity. However, these approaches will often identify compounds with no known mechanism of action. Herein, we describe a method utilizing the human fungal pathogen Cryptococcus neoformans to identify antifungal drug targets through the isolation of spontaneous resistant mutants, antifungal testing, whole-genome sequencing, and variant analysis.

Investigation of the Fuzzy Complex between RSV Nucleoprotein and Phosphoprotein to Optimize an Inhibition Assay by Fluorescence Polarization

The interaction between Respiratory Syncytial Virus phosphoprotein P and nucleoprotein N is essential for the formation of the holo RSV polymerase that carries out replication. In vitro screening of antivirals targeting the N-P protein interaction requires a molecular interaction model, ideally consisting of a complex between N protein and a short peptide corresponding to the C-terminal tail of the P protein. However, the flexibility of C-terminal P peptides as well as their phosphorylation status play a role in binding and may bias the outcome of an inhibition assay. We therefore investigated binding affinities and dynamics of this interaction by testing two N protein constructs and P peptides of different lengths and composition, using nuclear magnetic resonance and fluorescence polarization (FP). We show that, although the last C-terminal Phe241 residue is the main determinant for anchoring P to N, only longer peptides afford sub-micromolar affinity, despite increasing mobility towards the N-terminus. We investigated competitive binding by peptides and small compounds, including molecules used as fluorescent labels in FP. Based on these results, we draw optimized parameters for a robust RSV N-P inhibition assay and validated this assay with the M76 molecule, which displays antiviral properties, for further screening of chemical libraries.

ROBUST LONGEVITY EFFECTS OF NOVEL COMPOUNDS TESTED BY THE CAENORHABDITIS INTERVENTION TESTING PROGRAM

Abstract Many efficacious interventions that promote mouse longevity (sirtuins, TOR, insulin signaling) have identification roots in invertebrate genetics. The Caenorhabditis Intervention Testing Program (CITP) was charged by the NIA to evaluate pharmacological interventions that promote healthy aging in a robust and reproducible manner across diverse genetic backgrounds of natural variant Caenorhabditis strains. The central premise of the CITP effort is that compounds that have strong effects across diverse genetic backgrounds have enhanced probability of translatability into pre-clinical research. Indeed, some CITP-verified compounds have been shown to promote healthspan and longevity in mouse models, in support of this fundamental premise. One example that supports the Geroscience hypothesis (anti-aging compounds will promote systemic health) is our finding that when HBX, the counterpart of one of the strongest C. elegans longevity interventions (ThioT), was tested in a comprehensive multi-laboratory collaboration (Buck Institute), a remarkable increase in bone health in aging mice emerged (PMID 33778327). Our current effort includes pursuing compound submissions from the larger scientific aging community, as well as identification of candidates via high-throughput screening of chemical libraries and data mining of peer-reviewed publications. We now evaluate whole-organism RNA sequence data to estimate the mode of action for successful interventions, and conduct mortality analysis from a generalized family of distributions on high-resolution automated lifespan data to determine whether a given intervention changes the rate or onset of aging. Our recent lifespan-altering discoveries include a small molecule, a proprietary compound, an isothiocyanate and a vitamin derivative. We will present on the breaking compound successes.

4-phenylquinoline-8-amine induces HIV-1 reactivation and apoptosis in latently HIV-1 infected cells

Combinational antiretroviral therapy (cART) dramatically suppresses the viral load to undetectable levels in human immunodeficiency virus (HIV)-infected patients. However, HIV-1 reservoirs in CD4+T cells and myeloid cells, which can evade cART and host antiviral immune systems, are still significant obstacles to HIV-1 eradication. The “Shock and Kill” approach using latently-reversing agents (LRAs) is therefore currently developing strategies for effective HIV-1 reactivation from latency and inducing cell death. Here, we performed small-molecular chemical library screening with monocytic HIV-1 latently-infected model cells, THP-1 Nluc #225, and identified 4-phenylquinoline-8-amine (PQA) as a novel LRA candidate. PQA induced efficient HIV-1 reactivation in combination with PKC agonists including Prostratin and showed a similar tendency for HIV-1 activation in primary HIV-1 reservoirs. Furthermore, PQA induced killing of HIV-1 latently-infected cells. RNA-sequencing analysis revealed PQA had different functional mechanisms from PKC agonists, and oxidative stress-inducible genes including DDIT3 or CTSD were only involved in PQA-mediated cell death. In summary, PQA is a potential LRA lead compound that exerts novel functions related to HIV-1 activation and apoptosis-mediated cell death to eliminate HIV-1 reservoirs.

Robustness of NanoBiT luciferase complementation technology in the presence of widely used kinase inhibitors.

Bioluminescence assays using luciferase enzymes are widely used in research to monitor gene expression and an array of other cell properties, and split luciferase enzymes can be used to measure protein interactions in biochemical assays and in living cells. When these methods are employed in chemical library screening efforts, it is vital that the activity of the luciferase enzyme itself is not strongly influenced by library components. Here, we developed a NanoBiT split luciferase assay to measure phosphorylation of Histone H3 peptides and used it to test the robustness of split luciferase to interference from two libraries of commonly used kinase inhibitors, including the Kinase Chemogenomic Set (KCGS). We found that NanoBiT luciferase is not significantly affected by the great majority of kinase inhibitors tested. However, the weak inhibition observed for a small minority of kinase inhibitors encourages the inclusion of suitable controls in NanoBiT (or NanoLuc) assays.

A yeast‐based tool for screening mammalian diacylglycerol acyltransferase inhibitors

Dysregulation of lipid metabolism is associated with obesity and metabolic diseases but there is also increasing evidence of a relationship between lipid body excess and cancer. Lipid bodysynthesis requires diacylglycerol acyltransferases (DGATs) which catalyze the last step of triacylglycerol synthesis from diacylglycerol and acyl-coenzyme A. The DGATs and in particular DGAT2, are therefore considered potential therapeutic targets for the control of these pathologies. Here, the murine and the human DGAT2 were overexpressed in the oleaginous yeast Yarrowia lipolytica deleted for all DGAT activities, to evaluate the functionality of the enzymes in this heterologous host and DGAT activity inhibitors. This work provides evidence that mammalian DGATs expressed in Y. lipolytica are a useful tool for screening chemical libraries to identify potential inhibitors or activators of these enzymes of therapeutic interest.