HAL Université de Tours
Not a member yet
55851 research outputs found
Sort by
Couplage croisé de Suzuki-Miyaura simple et rapide assisté par micro-ondes dans un solvant eutectique naturel à base de bétaïne/glycérol
International audienceIn a context of reducing the environmental impact of chemical processes, the use of petrochemical solvents entails risks for health and the environment, as they are mostly toxic, not very biodegradable and polluting. Green chemistry proposes replacing them with safer alternatives, such as natural deep eutectic solvents (NaDES). Combined with eco-compatible heating techniques (microwaves, ultrasound, mechanochemistry), they can optimize organic synthesis by reducing reaction times and energy consumption. This work aims to combine NaDES as solvent and microwave heating to develop a sustainable and efficient Suzuki-Miyaura coupling method, in line with the principles of green chemistry
Tridimensional interactive plots improve the visualization of global data structure in complex scRNA-seq datasets
International audienceSingle-cell RNA sequencing (scRNA-seq) assays generate gene expression data for the individual cells that compose complex and heterogeneous tissues. It is noteworthy, however, that scRNA-seq data are inherently high-dimensional, meaning that each cell is represented as a point in an Euclidean space with as many dimensions as the features (genes) in the dataset. To visualize and explore those datasets in the pursuit of the biologically meaningful pattern emerging from them it is usual to employ non-linear dimensional reduction techniques such as tSNE and UMAP. The vast majority of scRNA-seq scientific publications rely on two-dimensional (2D) plots for the visualization of cell clusters. While 2D projections are generally effective and informative, they may overlook some important global structures or subtle inter-cluster relationships due to the loss of information that inevitably occurs when collapsing highdimensional data into just two dimensions. To address this limitation, we investigated if interactive threedimensional (3D) plots provide additional interpretative value beyond standard 2D representations using scRNA-seq data from zebrafish testes. Fish testes are filled with highly heterogeneous cell populations in dynamic states that are the result of a continual differentiation process that drives the production of millions of spermatozoa from a restricted pool of undifferentiated spermatogonia
Investigating Human-Wildlife Spatio-Temporal Interactions to Support Sustainable Outdoor Recreation
International audienceIn recent years, outdoor recreation has gained growing popularity, with a notable rise in new group-based outdoor activities. These opportunities allow people to explore and engage with nature, contributing to the economic development of local communities and, more broadly, to tourism. However, this expansion of outdoor activities raises concerns about potential negative impacts on biodiversity conservation. Scientific ecologists have introduced the concept of the “landscape of fear” to describe how wildlife, such as chamois, may be disturbed by human presence, potentially leading to altered behavior or even loss of plant and animal diversity.At the same time, outdoor practitioners increasingly record their routes using GNSS devices, with trajectories shared as open-source data on different websites. Similarly, ecologists studying the effects of human activity on wildlife collected GNSS trajectories representing animal movement by using GPS collars. These parallel datasets open new opportunities to study spatio-temporal interactions between humans and animals.In this presentation we will first present an overview of our research on how to study these human-animals interactions and propose solutions for sustainable outdoor recreation. Our research focuses on analyzing both human and animal trajectories to identify hotspots and coldspots which are respectively areas of frequent and less frequent co-occurrence. These identified zones first enhance human movement trajectories with ecologic data (e.g., chamois presence from April to June), and then it enriches a mobility network itself through map-matching techniques and attribute transfer, contributing thus to a trajectory-road network loop. Once the loop is finalized, the goal is to propose an algorithm that is able to suggest resilient routes which are routes that avoid temporal hotspots of human-wildlife interaction offering alternative paths that are less crowded and more environmentally sustainable.Second, we present the first results obtained in mountain areas located in the French Alps. While our study area is currently focused on mountain environments, we argue that this approach is transferable to urban contexts, where it can support the development of sustainable alternatives in densely visited touristic areas. For example, this tool can be used by urban planners and mobility services providers to redirect tourist flows to avoid overcrowded landmarks or ecologically fragile zones, thereby reducing pressure on urban green spaces while enhancing visitor experience.This work is part of the IntForOut research project, which aims to develop methods and tools to better quantify human pressure from sports and recreational activities on alpine ecosystems and to suggest alternative solutions for sustainable tourism and mobility
Mn <sup>2+</sup> Complex of a Fluorinated CDTA‐Derivative: Stability, Inertness, and Paramagnetic <sup>1</sup> H, <sup>17</sup> O, and <sup>19</sup> F Relaxation Properties
International audienceL2 is a bisamide derivative of cyclohexyl-diamine tetraacetate (CDTA) containing one trifluoromethyl-piperidine- and one dimethyl-amide. While the amide functions are stable at pH 7, at pH 4.35 hydrolysis occurs after 1 day, and it is faster for the amide involving the piperidine. pH potentiometry showed lower basicity for L2 than for CDTA, and similar stability for the two complexes (pMn = 8.28 vs. 8.68 for MnL2 and MnCDTA, respectively). The replacement of carboxylates by amides results in two orders of magnitude higher kinetic inertness for MnL2 (t1/2 = 1134 hours vs. 12 hours; pH 7.4). 17O NMR confirmed one inner sphere water in MnL2 and fast exchange (kex298 = 2.8 × 107 s−1). Its proton relaxivity is remarkable for a small Mn2+ chelate (r1 = 4.59 mM−1s−1, 25 °C, 20 MHz). In the complex, 19F relaxation is strongly accelerated with respect to free L2, with more important effect on longitudinal (130-fold), than on transverse relaxation (25–70-fold). A Mn─F distance of ∼8 Å was estimated from the 19F relaxation rates. MnL2 provides good signal-to-noise ratios on 19F phantom UTE MR images. These data show that fluorinated, monohydrated Mn2+ complexes can offer both 1H and 19F MRI detection
Expanding the Family of Monosubstituted 15-Membered Pyridine-Based Macrocyclic Ligands for Mn(II) Complexation in the Context of MRI
International audienceAs Mn(II) complexes attract continuous interest as alternatives to Gd-based contrast agents (CAs) in clinical magnetic resonance imaging (MRI), we synthesized two monosubstituted derivatives of the 15-membered pyridine-based macrocycle 15-pyN3O2 bearing either a 2-pyridylmethyl (L2) or a 2-benzimidazolylmethyl pendant arm (L3) and characterized their Mn(II) complexes MnL2 and MnL3 in the context of MRI contrast agent development. Their X-ray molecular structures confirmed a coordination number of seven and a pentagonal bipyramidal geometry with one coordination site available for inner-sphere water. Protonation constants of L2 and L3, and stability constants with selected divalent metal ions were determined using potentiometry. MnL2 and MnL3 complexes are fully formed at pH 7.4; however, they both display low kinetic inertness due to a significant spontaneous dissociation of the nonprotonated complex. The presence of one inner-sphere water molecule in the Mn(II) complexes was confirmed by 17O NMR and 1H NMRD measurements. The water exchange rate constants are very low (kex298 = 0.46 × 107 and 0.23 × 107 s–1 for MnL2 and MnL3, respectively), but typical for Mn(II) complexes of 15-pyN3O2 derivatives. The relaxivities are in good agreement with monohydrated small-molecular-weight Mn(II) chelates (r1 = 2.49 and 2.77 mM–1 s–1 at 20 MHz, 25 °C, for MnL2 and MnL3, respectively)
Decoupling individual host response and immune cell engager cytotoxic potency
International audienceImmune cell engagers are molecular agents, usually antibody-based constructs, engineered to recruit immune cells against cancer cells and kill them. They represent a versatile and powerful tool for cancer immunotherapy. Despite the multiplication of new engagers tested and accepted in the clinics, how molecular and cellular parameters influence their action is poorly understood. In particular, disentangling the respective role of host immune cells and engager biophysical characteristics is needed to improve their design and efficiency. Focusing here on harnessing antibody dependent Natural Killer cell cytotoxicity, we measure the efficiency of 6 original bispecific antibodies (bsAb), associating an anti-HER2 nanobody and an anti-CD16 nanobody. In vitro cytotoxicity data using primary human NK cells on different target cell lines exposing different antigen densities were collected, exhibiting a wide range of bsAb dose response. In order to rationalize our observations, we introduce a simple multiscale model, postulating that the density of bsAb bridging the two cells is the main parameter triggering the cytotoxic response. We introduce two new microscopic parameters: the surface cooperativity describing bsAb affinity at the bridging step and the threshold of bridge density determining the donor-dependent response. Both parameters permit to rank Abs and donors and to predict bsAb potency as a function of antibodies bulk affinities and receptor surface densities on cells. Our approach thus provides a general way to decouple donor response from immune engagers characteristics, rationalizing the landscape of molecule design
« Musique, arts et savoirs au XVIIIe siècle. Le temps des académies »
International audienc
Discovery and chemical biology of CDK8 inhibitors reveals insights for kinase inhibitor development
ReferencesSolomon, B.J., Liu, G., Felip, E., Mok, T.S.K., Soo, R.A., Mazieres, J., Shaw, A.T., de Marinis, F., Goto,Y., Wu, Y.-L., et al. (2024). LorlaJnib Versus CrizoJnib in PaJents With Advanced ALK-PosiJve Non–Small Cell Lung Cancer: 5-Year Outcomes From the Phase III CROWN Study. JCO, JCO.24.00581.hZps://doi.org/10.1200/JCO.24.00581.2. Lu, S., Kato, T., Dong, X., Ahn, M.-J., Quang, L.-V., SoparaZanapaisarn, N., Inoue, T., Wang, C.-L.,Huang, M., Yang, J.C.-H., et al. (2024). OsimerJnib a`er Chemoradiotherapy in Stage III EGFRMutatedNSCLC. N Engl J Med 391, 585–597. hZps://doi.org/10.1056/NEJMoa2402614.3. AZwood, M.M., Fabbro, D., Sokolov, A.V., Knapp, S., and Schiöth, H.B. (2021). Trends in kinasedrug discovery: targets, indicaJons and inhibitor design. Nat Rev Drug Discov 20, 839–861.hZps://doi.org/10.1038/s41573-021-00252-y.144. Fisher, D., and Krasinska, L. (2022). Explaining Redundancy in CDK-Mediated Control of the CellCycle: Unifying the ConJnuum and QuanJtaJve Models. Cells 11, 2019.hZps://doi.org/10.3390/cells11132019.5. O’Leary, B., Finn, R.S., and Turner, N.C. (2016). TreaJng cancer with selecJve CDK4/6 inhibitors.Nat Rev Clin Oncol 13, 417–430. hZps://doi.org/10.1038/nrclinonc.2016.26.6. Goel, S., Bergholz, J.S., and Zhao, J.J. (2022). TargeJng CDK4 and CDK6 in cancer. Nat Rev Cancer22, 356–372. hZps://doi.org/10.1038/s41568-022-00456-3.7. El KhaZabi, L., Zhao, H., Kalchschmidt, J., Young, N., Jung, S., Van Blerkom, P., Kieffer-Kwon, P.,Kieffer-Kwon, K.-R., Park, S., Wang, X., et al. (2019). A Pliable Mediator Acts as a FuncJonal RatherThan an Architectural Bridge between Promoters and Enhancers. Cell 178, 1145-1158.e20.hZps://doi.org/10.1016/j.cell.2019.07.011.8. Kuchin, S., Yeghiayan, P., and Carlson, M. (1995). Cyclin-dependent protein kinase and cyclinhomologs SSN3 and SSN8 contribute to transcripJonal control in yeast. Proc Natl Acad Sci U S A92, 4006–4010.9. Loncle, N., Boube, M., Joulia, L., Boschiero, C., Werner, M., Cribbs, D.L., and Bourbon, H.M. (2007).DisJnct roles for Mediator Cdk8 module subunits in Drosophila development. Embo J 26, 1045–1054. hZps://doi.org/10.1038/sj.emboj.7601566.10. Li, N., Fassl, A., Chick, J., Inuzuka, H., Li, X., Mansour, M.R., Liu, L., Wang, H., King, B., Shaik, S., etal. (2014). Cyclin C is a haploinsufficient tumour suppressor. Nat. Cell Biol. 16, 1080–1091.hZps://doi.org/10.1038/ncb3046.11. Postlmayr, A., Dumeau, C.E., and Wutz, A. (2020). Cdk8 is required for establishment ofH3K27me3 and gene repression by Xist and mouse development. Development 147, dev175141.hZps://doi.org/10.1242/dev.175141.12. Dannappel, M.V., Zhu, D., Sun, X., Chua, H.K., Poppelaars, M., Suehiro, M., Khadka, S., Lim KamSian, T.C., Sooraj, D., Loi, M., et al. (2022). Mediator kinase regulates intesJnal differenJaJon andhomeostasis via the chromaJn remodeling complex SWI/SNF. J Clin Invest, e158593.hZps://doi.org/10.1172/JCI158593.13. Prieto, S., Dubra, G., Camasses, A., Aznar, A.B., Begon-Pescia, C., Simboeck, E., Pirot, N., Gerbe, F.,Angevin, L., Jay, P., et al. (2023). CDK8 and CDK19 act redundantly to control the CFTR pathway inthe intesJnal epithelium. EMBO Rep 24, e54261. hZps://doi.org/10.15252/embr.202154261.14. Chen, M., Li, J., Zhang, L., Wang, L., Cheng, C., Ji, H., AlJlia, S., Ding, X., Cai, G., Altomare, D., et al.(2023). CDK8 and CDK19: posiJve regulators of signal-induced transcripJon and negaJveregulators of Mediator complex proteins. Nucleic Acids Res 51, 7288–7313.hZps://doi.org/10.1093/nar/gkad538.15. Bruter, A.V., Varlamova, E.A., Stavskaya, N.I., Antysheva, Z.G., Manskikh, V.N., Tvorogova, A.V.,Korshunova, D.S., Khamidullina, A.I., Utkina, M.V., Bogdanov, V.P., et al. (2025). Knockout of cyclindependentkinases 8 and 19 leads to depleJon of cyclin C and suppresses spermatogenesis andmale ferJlity in mice. Elife 13, RP96465. hZps://doi.org/10.7554/eLife.96465.1516. Galbraith, M.D., Allen, M.A., Bensard, C.L., Wang, X., Schwinn, M.K., Qin, B., Long, H.W., Daniels,D.L., Hahn, W.C., Dowell, R.D., et al. (2013). HIF1A employs CDK8-mediator to sJmulate RNAPIIelongaJon in response to hypoxia. Cell 153, 1327–1339.hZps://doi.org/10.1016/j.cell.2013.04.048.17. Donner, A.J., Ebmeier, C.C., Taatjes, D.J., and Espinosa, J.M. (2010). CDK8 is a posiJve regulator oftranscripJonal elongaJon within the serum response network. Nat Struct Mol Biol 17, 194–201.hZps://doi.org/10.1038/nsmb.1752.18. Bancerek, J., Poss, Z.C., Steinparzer, I., Sedlyarov, V., Pfaffenwimmer, T., Mikulic, I., Dölken, L.,Strobl, B., Müller, M., Taatjes, D.J., et al. (2013). CDK8 Kinase Phosphorylates TranscripJon FactorSTAT1 to SelecJvely Regulate the Interferon Response. Immunity 38, 250–262.hZps://doi.org/10.1016/j.immuni.2012.10.017.19. Steinparzer, I., Sedlyarov, V., Rubin, J.D., Eislmayr, K., Galbraith, M.D., Levandowski, C.B., Vcelkova,T., Sneezum, L., Wascher, F., Amman, F., et al. (2019). TranscripJonal Responses to IFN-γ RequireMediator Kinase-Dependent Pause Release and MechanisJcally DisJnct CDK8 and CDK19FuncJons. Mol Cell 76, 485-499.e8. hZps://doi.org/10.1016/j.molcel.2019.07.034.20. Donner, A.J., Szostek, S., Hoover, J.M., and Espinosa, J.M. (2007). CDK8 is a sJmulus-specificposiJve coregulator of p53 target genes. Mol Cell 27, 121–133.hZps://doi.org/10.1016/j.molcel.2007.05.026.21. Pelish, H.E., Liau, B.B., Nitulescu, I.I., Tangpeerachaikul, A., Poss, Z.C., Da Silva, D.H., Caruso, B.T.,Arefolov, A., Fadeyi, O., ChrisJe, A.L., et al. (2015). Mediator kinase inhibiJon further acJvatessuper-enhancer-associated genes in AML. Nature 526, 273–276.hZps://doi.org/10.1038/nature14904.22. Adler, A.S., McCleland, M.L., Truong, T., Lau, S., Modrusan, Z., Soukup, T.M., Roose-Girma, M.,Blackwood, E.M., and Firestein, R. (2012). CDK8 maintains tumor dedifferenJaJon and embryonicstem cell pluripotency. Cancer Res 72, 2129–2139. hZps://doi.org/10.1158/0008-5472.CAN-11-3886.23. Porter, D.C., Farmaki, E., AlJlia, S., Schools, G.P., West, D.K., Chen, M., Chang, B.D., Puzyrev, A.T.,Lim, C.U., Rokow-KiZell, R., et al. (2012). Cyclin-dependent kinase 8 mediates chemotherapyinducedtumor-promoJng paracrine acJviJes. Proc Natl Acad Sci U S A 109, 13799–13804.hZps://doi.org/10.1073/pnas.1206906109.24. Hofmann, M.H., Mani, R., Engelhardt, H., ImpagnaJello, M.A., CaroZa, S., Kerenyi, M., Lorenzo-Herrero, S., BöZcher, J., Scharn, D., Arnhof, H., et al. (2020). SelecJve and Potent CDK8/19Inhibitors Enhance NK-Cell AcJvity and Promote Tumor Surveillance. Mol Cancer Ther 19, 1018–1030. hZps://doi.org/10.1158/1535-7163.MCT-19-0789.25. Kapoor, A., Goldberg, M.S., Cumberland, L.K., Ratnakumar, K., Segura, M.F., Emanuel, P.O.,Menendez, S., Vardabasso, C., Leroy, G., Vidal, C.I., et al. (2010). The histone variant macroH2Asuppresses melanoma progression through regulaJon of CDK8. Nature 468, 1105–1109.hZps://doi.org/10.1038/nature09590.26. Freitas, K.A., Belk, J.A., SoJllo, E., Quinn, P.J., Ramello, M.C., Malipatlolla, M., Daniel, B., Sandor,K., Klysz, D., Bjelajac, J., et al. (2022). Enhanced T cell effector acJvity by targeJng the Mediatorkinase module. Science 378, eabn5647. hZps://doi.org/10.1126/science.abn5647.1627. Firestein, R., Bass, A.J., Kim, S.Y., Dunn, I.F., Silver, S.J., Guney, I., Freed, E., Ligon, A.H., Vena, N.,Ogino, S., et al. (2008). CDK8 is a colorectal cancer oncogene that regulates β-catenin acJvity.Nature 455, 547–551. hZps://doi.org/10.1038/nature07179.28. McCleland, M.L., Soukup, T.M., Liu, S.D., Esensten, J.H., de Sousa e Melo, F., Yaylaoglu, M.,Warming, S., Roose-Girma, M., and Firestein, R. (2015). Cdk8 deleJon in the Apc(Min) murinetumour model represses EZH2 acJvity and accelerates tumourigenesis. J. Pathol. 237, 508–519.hZps://doi.org/10.1002/path.4596.29. Menzl, I., Zhang, T., Berger-Becvar, A., Grausenburger, R., Heller, G., Prchal-Murphy, M., Edlinger,L., Knab, V.M., Uras, I.Z., Grundschober, E., et al. (2019). A kinase-independent role for CDK8 inBCR-ABL1+ leukemia. Nat Commun 10, 4741. hZps://doi.org/10.1038/s41467-019-12656-x.30. Ding, X., Sharko, A.C., McDermoZ, M.S.J., Schools, G.P., Chumanevich, A., Ji, H., Li, J., Zhang, L.,Mack, Z.T., Sikirzhytski, V., et al. (2022). InhibiJon of CDK8/19 Mediator kinase potenJates HER2-targeJng drugs and bypasses resistance to these agents in vitro and in vivo. Proc Natl Acad Sci U SA 119, e2201073119. hZps://doi.org/10.1073/pnas.2201073119.31. McDermoZ, M.S.J., Chumanevich, A.A., Lim, C., Liang, J., Chen, M., AlJlia, S., Oliver, D., Rae, J.M.,Shtutman, M., Kiaris, H., et al. (2017). InhibiJon of CDK8 mediator kinase suppresses estrogendependent transcripJon and the growth of estrogen receptor posiJve breast cancer. Oncotarget8. hZps://doi.org/10.18632/oncotarget.14894.32. Li, J., Hilimire, T.A., Liu, Y., Wang, L., Liang, J., Gyorffy, B., Sikirzhytski, V., Ji, H., Zhang, L., Cheng, C.,et al. (2024). Mediator kinase inhibiJon reverses castraJon resistance of advanced prostatecancer. J Clin Invest 134. hZps://doi.org/10.1172/JCI176709.33. Putz, E.M., GoZhardt, D., Hoermann, G., Csiszar, A., Wirth, S., Berger, A., Straka, E., Rigler, D.,Wallner, B., Jamieson, A.M., et al. (2013). CDK8-mediated STAT1-S727 phosphorylaJon restrainsNK cell cytotoxicity and tumor surveillance. Cell Rep 4, 437–444.hZps://doi.org/10.1016/j.celrep.2013.07.012.34. Osman, S., Mohammad, E., Lidschreiber, M., Stuetzer, A., Bazsó, F.L., Maier, K.C., Urlaub, H., andCramer, P. (2021). The Cdk8 kinase module regulates interacJon of the Mediator complex withRNA polymerase II. Journal of Biological Chemistry, 100734.hZps://doi.org/10.1016/j.jbc.2021.100734.35. Alarcón, C., ZaromyJdou, A.-I., Xi, Q., Gao, S., Yu, J., Fujisawa, S., Barlas, A., Miller, A.N., Manova-Todorova, K., Macias, M.J., et al. (2009). Nuclear CDKs drive Smad transcripJonal acJvaJon andturnover in BMP and TGF-beta pathways. Cell 139, 757–769.hZps://doi.org/10.1016/j.cell.2009.09.035.36. Rickert, P., Corden, J.L., and Lees, E. (1999). Cyclin C/CDK8 and cyclin H/CDK7/p36 arebiochemically disJnct CTD kinases. Oncogene 18, 1093–1102.hZps://doi.org/10.1038/sj.onc.1202399.37. Köhler, K., Sanchez-Pulido, L., Höfer, V., Marko, A., PonJng, C.P., Snijders, A.P., Feederle, R.,Schepers, A., and Boos, D. (2019). The Cdk8/19-cyclin C transcripJon regulator funcJons ingenome replicaJon through metazoan Sld7. PLoS Biol 17, e2006767.hZps://doi.org/10.1371/journal.pbio.2006767.1738. Cozzolino, K.A., Sanford, L., Hunter, S., Molison, K., Erickson, B., Courvan, M.C.S., Jones, T., Ajit, D.,Galbraith, M.D., Espinosa, J.M., et al. (2025). Mediator kinase inhibiJon suppresses hyperacJveinterferon signaling in Down syndrome. Elife 13, RP100197. hZps://doi.org/10.7554/eLife.100197.39. Kornev, A.P., Haste, N.M., Taylor, S.S., and Eyck, L.F.T. (2006). Surface comparison of acJve andinacJve protein kinases idenJfies a conserved acJvaJon mechanism. Proc Natl Acad Sci U S A103, 17783–17788. hZps://doi.org/10.1073/pnas.0607656103.40. Schneider, E.V., BoZcher, J., Blaesse, M., Neumann, L., Huber, R., and Maskos, K. (2011). Thestructure of CDK8/CycC implicates specificity in the CDK/cyclin family and reveals interacJon witha deep pocket binder. J Mol Biol 412, 251–266. hZps://doi.org/10.1016/j.jmb.2011.07.020.41. Dale, T., Clarke, P.A., Esdar, C., Waalboer, D., Adeniji-Popoola, O., OrJz-Ruiz, M.-J., Mallinger, A.,Samant, R.S., Czodrowski, P., Musil, D., et al. (2015). A selecJve chemical probe for exploring therole of CDK8 and CDK19 in human disease. Nat. Chem. Biol. 11, 973–980.hZps://doi.org/10.1038/nchembio.1952.42. Ma, D., Chen, X., Shen, X.-B., Sheng, L.Q., and Liu, X.H. (2020). Binding paZerns and structure–acJvity relaJonship of CDK8 inhibitors. Bioorganic Chemistry 96, 103624.hZps://doi.org/10.1016/j.bioorg.2020.103624.43. Bergeron, P., Koehler, M.F.T., Blackwood, E.M., Bowman, K., Clark, K., Firestein, R., Kiefer, J.R.,Maskos, K., McCleland, M.L., Orren, L., et al. (2016). Design and Development of a Series ofPotent and SelecJve Type II Inhibitors of CDK8. ACS Med Chem LeZ 7, 595–600.hZps://doi.org/10.1021/acsmedchemleZ.6b00044.44. Koehler, M.F., Bergeron, P., Blackwood, E.M., Bowman, K., Clark, K.R., Firestein, R., Kiefer, J.R.,Maskos, K., McCleland, M.L., Orren, L., et al. (2016). Development of a Potent, Specific CDK8Kinase Inhibitor Which Phenocopies CDK8/19 Knockout Cells. ACS medicinal chemistry leZers 7,223–228.45. Clarke, P.A., OrJz-Ruiz, M.-J., TePoele, R., Adeniji-Popoola, O., Box, G., Court, W., Czasch, S.,Bawab, S.E., Esdar, C., Ewan, K., et al. (2016). Assessing the mechanism and therapeuJc potenJalof modulators of the human Mediator complex-associated protein kinases. eLife 5, e20722.hZps://doi.org/10.7554/eLife.20722.46. Chen, M., Li, J., Liang, J., Thompson, Z.S., Kathrein, K., Broude, E.V., and Roninson, I.B. (2019).Systemic Toxicity Reported for CDK8/19 Inhibitors CCT251921 and MSC2530818 Is Not Due toTarget InhibiJon. Cells 8, 1413. hZps://doi.org/10.3390/cells8111413.47. Marunez-González, S., García, A.B., Albarrán, M.I., Cebriá, A., Amezquita-Alves, A., García-Campos, F.J., Marunez-Gago, J., Marunez-Torrecuadrada, J., Muñoz, I.G., Blanco-Aparicio, C., et al.(2020). Pyrido[2,3-b][1,5]benzoxazepin-5(6H)-one derivaJves as CDK8 inhibitors. Eur J Med Chem201, 112443. hZps://doi.org/10.1016/j.ejmech.2020.112443.48. Kaelin, W.G. (2017). Common pi{alls in preclinical cancer target validaJon. Nat Rev Cancer 17,425–440. hZps://doi.org/10.1038/nrc.2017.32.49. Lin, A., Giuliano, C.J., Palladino, A., John, K.M., Abramowicz, C., Yuan, M.L., Sausville, E.L., Lukow,D.A., Liu, L., Chait, A.R., et al. (2019). Off-target toxicity is a common mechanism of acJon of18cancer drugs undergoing clinical trials. Sci Transl Med 11, eaaw8412.hZps://doi.org/10.1126/scitranslmed.aaw8412.50. Cee, V.J., Chen, D.Y.-K., Lee, M.R., and Nicolaou, K.C. (2009). CorJstaJn A is a high-affinity ligand ofprotein kinases ROCK, CDK8, and CDK11. Angew Chem Int Ed Engl 48, 8952–8957.hZps://doi.org/10.1002/anie.200904778.51. Johannessen, L., Sundberg, T.B., O’Connell, D.J., Kolde, R., Berstler, J., Billings, K.J., Khor, B.,Seashore-Ludlow, B., Fassl, A., Russell, C.N., et al. (2017). Small-molecule studies idenJfy CDK8 asa regulator of IL-10 in myeloid cells. Nat Chem Biol 13, 1102–1108.hZps://doi.org/10.1038/nchembio.2458.52. Mallinger, A., Crumpler, S., Pichowicz, M., Waalboer, D., Stubbs, M., Adeniji-Popoola, O., Wood, B.,Smith, E., Thai, C., Henley, A.T., et al. (2015). Discovery of potent, orally bioavailable, smallmoleculeinhibitors of WNT signaling from a cell-based pathway screen. J Med Chem 58, 1717–1735. hZps://doi.org/10.1021/jm501436m.53. Chen, W., Ren, X., and Chang, C.-E.A. (2019). Discovery of CDK8/CycC Ligands with a New VirtualScreening Tool. ChemMedChem 14, 107–118. hZps://doi.org/10.1002/cmdc.201800559.54. Kumarasiri, M., Teo, T., Yu, M., Philip, S., Basnet, S.K.C., Albrecht, H., Sykes, M.J., Wang, P., andWang, S. (2017). In Search of Novel CDK8 Inhibitors by Virtual Screening. J. Chem. Inf. Model. 57,413–416. hZps://doi.org/10.1021/acs.jcim.6b00711.55. Jeffrey, P.D., Russo, A.A., Polyak, K., Gibbs, E., Hurwitz, J., Massague, J., and PavleJch, N.P. (1995).Mechanism of CDK acJvaJon revealed by the structure of a cyclinA-CDK2 complex [seecomments]. Nature 376, 313–320.56. Irwin, J.J., and Shoichet, B.K. (2005). ZINC--a free database of commercially available compoundsfor virtual screening. J Chem Inf Model 45, 177–182. hZps://doi.org/10.1021/ci049714+.57. Friesner, R.A., Banks, J.L., Murphy, R.B., Halgren, T.A., Klicic, J.J., Mainz, D.T., Repasky, M.P., Knoll,E.H., Shelley, M., Perry, J.K., et al. (2004). Glide: a new approach for rapid, accurate docking andscoring. 1. Method and assessment of docking accuracy. J. Med. Chem. 47, 1739–1749.hZps://doi.org/10.1021/jm0306430.58. Kitchen, D.B., Decornez, H., Furr, J.R., and Bajorath, J. (2004). Docking and scoring in virtualscreening for drug discovery: methods and applicaJons. Nat Rev Drug Discov 3, 935–949.hZps://doi.org/10.1038/nrd1549.59. Friesner, R.A., Murphy, R.B., Repasky, M.P., Frye, L.L., Greenwood, J.R., Halgren, T.A., Sanschagrin,P.C., and Mainz, D.T. (2006). Extra precision glide: docking and scoring incorporaJng a model ofhydrophobic enclosure for protein-ligand complexes. J Med Chem 49, 6177–6196.hZps://doi.org/10.1021/jm051256o.60. Arafeh, R., Shibue, T., Dempster, J.M., Hahn, W.C., and Vazquez, F. (2025). The present and futureof the Cancer Dependency Map. Nat Rev Cancer 25, 59–73. hZps://doi.org/10.1038/s41568-024-00763-x.1961. MarJnez Molina, D., Jafari, R., Ignatushchenko, M., Seki, T., Larsson, E.A., Dan, C., Sreekumar, L.,Cao, Y., and Nordlund, P. (2013). Monitoring drug target engagement in cells and Jssues using thecellular thermal shi` assay. Science 341, 84–87. hZps://doi.org/10.1126/science.1233606.62. Krasinska, L., Besnard, E., Cot, E., Dohet, C., Mechali, M., Lemaitre, J.M., and Fisher, D. (2008).Cdk1 and Cdk2 acJvity levels determine the efficiency of replicaJon origin firing in Xenopus.EMBO J 27, 758–769.63. Parisis, N., Krasinska, L., Harker, B., Urbach, S., Rossignol, M., Camasses, A., Dewar, J., Morin, N.,and Fisher, D. (2017). IniJaJon of DNA replicaJon requires acJn dynamics and formin acJvity.EMBO J. hZps://doi.org/10.15252/embj.201796585.64. Sheinerman, F.B., Giraud, E., and Laoui, A. (2005). High affinity targets of protein kinase inhibitorshave similar residues at the posiJons energeJcally important for binding. J Mol Biol 352, 1134–1156.65. Echalier, A., Cot, E., Camasses, A., Hodimont, E., Hoh, F., Jay, P., Sheinerman, F.B., Krasinska, L., andFisher, D. (2012). An integrated chemical biology approach provides insight into Cdk2 funcJonalredundancy and inhibitor sensiJvity. Chem Biol 19, 1028–1040.66. KlaZ, F., Leitner, A., Kim, I.V., Ho-Xuan, H., Schneider, E.V., Langhammer, F., Weinmann, R., Müller,M.R., Huber, R., Meister, G., et al. (2020). A precisely posiJoned MED12 acJvaJon helix sJmulatesCDK8 kinase acJvity. Proceedings of the NaJonal Academy of Sciences 117, 2894–2905.hZps://doi.org/10.1073/pnas.1917635117.67. Chao, T.-C., Chen, S.-F., Kim, H.J., Tang, H.-C., Tseng, H.-C., Xu, A., Palao, L., Khadka, S., Li, T., Huang,M.-F., et al. (2024). Structural basis of the human transcripJonal Mediator regulated by itsdissociable kinase module. Molecular Cell 84, 3932-3949.e10.hZps://doi.org/10.1016/j.molcel.2024.09.001.68. Han, X., Jiang, M., Zhou, C., Zhou, Z., Xu, Z., Wang, L., Mayweg, A.V., Niu, R., Jin, T.-G., and Yang, S.(2017). Discovery of potent and selecJve CDK8 inhibitors through FBDD approach. Bioorganic &Medicinal Chemistry LeZers 27, 4488–4492. hZps://doi.org/10.1016/j.bmcl.2017.07.080.69. Zhang, L., Cheng, C., Li, J., Wang, L., Chumanevich, A.A., Porter, D.C., Mindich, A., Gorbunova, S.,Roninson, I.B., Chen, M., et al. A SelecJve and Orally Bioavailable Quinoline-6-Carbonitrile-BasedInhibitor of CDK8/19 Mediator Kinase with Tumor-Enriched PharmacokineJcs. Journal ofMedicinal Chemistry, 14.70. Khamidullina, A.I., Yastrebova, M.A., Bruter, A.V., Nuzhina, J.V., Vorobyeva, N.E., Khrustaleva, A.M.,Varlamova, E.A., Tyakht, A.V., Abramenko, I.E., Ivanova, E.S., et al. (2025). CDK8/19 inhibiJonaZenuates G1 arrest induced by BCR-ABL antagonists and accelerates death of chronicmyelogenous leukemia cells. Cell Death Discov 11, 62. hZps://doi.org/10.1038/s41420-025-02339-6.71. Ding, X., Liang, J., Sharko, A.C., Hilimire, T.A., Li, J., Loskutov, J., Mack, Z.T., Ji, H., Schools, G.P., Cai,C., et al. (2024). Mediator kinase inhibitors suppress triple-negaJve breast cancer growth andextend tumor suppression by mTOR and AKT inhibitors. Proc Natl Acad Sci U S A 121,e2414501121. hZps://doi.org/10.1073/pnas.2414501121.2072. Sharko, A.C., Lim, C.-U., McDermoZ, M.S.J., Hennes, C., Philavong, K.P., Aiken, T., Tatarskiy, V.V.,Roninson, I.B., and Broude, E.V. (2021). The InhibiJon of CDK8/19 Mediator Kinases Prevents theDevelopment of Resistance to EGFR-TargeJng Drugs. Cells 10, 144.hZps://doi.org/10.3390/cells10010144.73. Abramson, J., Adler, J., Dunger, J., Evans, R., Green, T., Pritzel, A., Ronneberger, O., Willmore, L.,Ballard, A.J., Bambrick, J., et al. (2024). Accurate structure predicJon of biomolecular interacJonswith AlphaFold 3. Nature 630, 493–500. hZps://doi.org/10.1038/s41586-024-07487-w.74. Smith, J.C., and Sheltzer, J.M. (2022). Genome-wide idenJficaJon and analysis of prognosJcfeatures in human cancers. Cell Rep 38, 110569. hZps://doi.org/10.1016/j.celrep.2022.110569.75. Errington, T.M., Denis, A., Perfito, N., Iorns, E., and Nosek, B.A. (2021). Challenges for assessingreplicability in preclinical cancer biology. Elife 10, e67995. hZps://doi.org/10.7554/eLife.67995.76. Errington, T.M., Mathur, M., Soderberg, C.K., Denis, A., Perfito, N., Iorns, E., and Nosek, B.A.(2021). InvesJgaJng the replicability of preclinical cancer biology. Elife 10, e71601.hZps://doi.org/10.7554/eLife.71601.77. Sanjana, N.E., Shalem, O., and Zhang, F. (2014). Improved vectors and genome-wide libraries forCRISPR screening. Nat Methods 11, 783–784. hZps://doi.org/10.1038/nmeth.3047.78. Ivanov, D.P., Parker, T.L., Walker, D.A., Alexander, C., Ashford, M.B., Gellert, P.R., and GarneZ, M.C.(2014). MulJplexing spheroid volume, resazurin and acid phosphatase viability assays for highthroughputscreening of tumour spheroids and stem cell neurospheres. PLoS ONE 9, e103817.hZps://doi.org/10.1371/journal.pone.0103817.79. Todaro, G.J., and Green, H. (1963). QuanJtaJve studies of the growth of mouse embryo cells inculture and their development into established lines. J Cell Biol 17, 299–313.hZps://doi.org/10.1083/jcb.17.2.299.80. Jafari, R., Almqvist, H., Axelsson, H., Ignatushchenko, M., Lundbäck, T., Nordlund, P., and MarJnezMolina, D. (2014). The cellular thermal shi` assay for evaluaJng drug target interacJons in cells.Nat Protoc 9, 2100–2122. hZps://doi.org/10.1038/nprot.2014.138.81. McDermoZ, M.S.J., Chumanevi