Juan Lazaro-Navarro, Helia Judith Pimentel-Gutiérrez, Anton Gauert, Anja I.H. Hagemann, Jassi Lena Eisenschmid, Nicola Goekbuget, Binje Vick, Irmela Jeremias, F

K-Ras, one of the most common small GTPases of the cell, still presents many riddles, despite the intense efforts to unveil its mysteries. Such is the case of its interaction with Calmodulin, a small acidic protein known for its role as a calcium ion sensor. Although the interaction between these two proteins and its biological implications have been widely studied, a model of their interaction has not been performed. In the present work we analyse this intriguing interaction by computational means. To do so, both conventional molecular dynamics and scaled molecular dynamics have been used. Our simulations suggest a model in which Calmodulin would interact with both the hypervariable region and the globular domain of K-Ras, using a lobe to interact with each of them. According to the presented model, the interface of helixes α4 and α5 of the globular domain of K-Ras would be relevant for the interaction with a lobe of Calmodulin. These results were also obtained when bringing the proteins together in a step wise manner with the umbrella sampling methodology. The computational results have been validated using SPR to determine the relevance of certain residues. Our results demonstrate that, when mutating residues of the α4-α5 interface described to be relevant for the interaction with Calmodulin, the interaction of the globular domain of K-Ras with Calmodulin diminishes. However, it is to be considered that our simulations indicate that the bulk of the interaction would fall on the hypervariable region of K-Ras, as many more interactions are identified in said region. All in all our simulations present a suitable model in which K-Ras could interact with Calmodulin at membrane level using both its globular domain and its hypervariable region to stablish an interaction that leads to an altered signalling. K-Ras is one of the most mutated oncogenes in human cancer. Although several studies validate K-Ras protein as good candidate for direct therapeutic targeting, pharmacologic targeting has not been successful. During the last years increasing evidences demonstrate that oncogenic K-Ras activity can be modulated in vivo by dimerization, nanoclustering at the plasma membrane or interaction with non-effector proteins, consequently opening new therapeutic strategies. We have previously demonstrated that Calmodulin, an ubiquitous Ca2+-binding protein, is one of this K-Ras interacting proteins and that it negatively modulates K-Ras signaling. Although experimental data were available showing the relevant regions for this interaction, a model of K-Ras and Calmodulin interaction was missing. In the present work by using different computational modeling techniques we obtained a model for this interaction that agrees with the experimental data. We believe the present model will help to better understand K-Ras regulation, and to design new inhibitors. For instance, base on our model, we can predict that the interaction can take place at the plasma membrane, and that since the surface of K-Ras that interact with Calmodulin is the same that it uses for dimerization, that Calmodulin could be inhibiting K-Ras dimerization.

Background: CREB binding protein (CREBBP) is a key epigenetic regulator, altered in a fifth of relapsed cases of acute lymphoblastic leukemia (ALL). Selectively targeting epigenetic signaling may be an effective novel therapeutic approach to overcome drug resistance. Anti‐tumor effects have previously been demonstrated for GSK‐J4, a selective H3K27 histone demethylase inhibitor, in several animal models of cancers. Methods: To characterize the effect of GSK‐J4, drug response profiling, CRISPR‐Dropout Screening, BH3 profiling and immunoblotting were carried out in ALL cell lines or patient derived samples. Results: Here we provide evidence that GSK‐J4 downregulates cyclic AMP‐responsive element‐binding protein (CREB) and CREBBP in B‐cell precursor‐ALL cell lines and patient samples. High CREBBP expression in BCP‐ALL cell lines correlated with high GSK‐J4 sensitivity and low dexamethasone sensitivity. GSK‐J4 treatment also induced Bcl‐2 and Bcl‐XL dependency and apoptosis. Conclusions: This study proposes H3K27 demethylase inhibition as a potential treatment strategy for patients with treatment‐resistant ALL, using CREBBP as a biomarker for drug response and combining GSK‐J4 with venetoclax and navitoclax as synergistic partners.

Zebrafish xenotransplantation is a pivotal technique for investigating human cancer pathogenesis and predicting individual drug responses. This document introduces a streamlined protocol (ZefiX) for expanding primary B-cell precursor acute lymphoblastic leukemia (BCP-ALL) patient samples or immortalized cell lines in transiently immunosuppressed zebrafish embryos, utilizing flow cytometry for high-resolution single-cell analysis of treatment responses. Compared to solid tumor engraftments, leukemia cells profit significantly from a morpholino antisense oligonucleotide-based suppression of macrophage and neutrophil differentiating factors during the assay. Flow cytometry analysis of dissociated graft cells enables precise evaluation of cell count, proliferation rate, and vitality after treatment on a per-cell basis. This approach has been validated using targeted therapeutics such as venetoclax and dasatinib, with treatment outcomes compared to clinical records of related patient samples and traditional 2D culture controls. Notably, the protocol is completed within 7 days, aligning with clinical decision-making timelines. The methodology is adaptable for testing selected drugs in various cancer types, including solid tumors, thereby supporting personalized therapeutic strategies. However, limitations on the number of drugs that can be assessed, likely due to pharmacokinetic constraints in zebrafish embryos, should be considered.