Apoptosis regulation by the tyrosine-protein kinase CSK

A network toxicology and molecular docking-based approach revealed shared hepatotoxic mechanisms and targets between the herbicide 2,4-D and its metabolite 2,4-DCP

The herbicide 2,4-dichlorophenoxyacetic acid (2,4-D) and its major environmental metabolite 2,4-dichlorophenol (2,4-DCP) are pollutants associated with hepatotoxicity, whose molecular mechanisms remain poorly understood. This study investigated the molecular pathways and targets involved in 2,4-D and 2,4-DCP-induced hepatotoxicity using protein-protein interaction (PPI) network analyses and molecular docking. Target genes were identified using PharmMapper and SwissTargetPrediction, and cross-referenced with hepatotoxicity-related genes from GeneCards and OMIM databases. The PPI network, constructed via STRING and visualized in Cytoscape, revealed 12 critical hub nodes, including HSP90AA1, RXRA, EGFR, SRC, CREBBP, PIK3R1, ESR1, AKT1, RAF1, IGF1R, MDM2, and MAPK14. Gene Ontology (GO) analysis indicated processes such as apoptosis, oxidative stress, mitochondrial dysfunction, and lipid metabolism impairment, while Reactome pathway analysis highlighted disruptions in PI3K/AKT and nuclear receptors signaling. Molecular docking confirmed significant interactions of 2,4-D and 2,4-DCP with key proteins, including SRC, AKT, RXRA, MDM2, and HSP90AA1. These results suggest that 2,4-D and 2,4-DCP share similar toxic mechanisms, providing new insights into their hepatotoxicity pathways for the first time.

Exploring the Role of T-Cell Metabolism in Modulating Immunotherapy Efficacy for Non-Small Cell Lung Cancer Based on Clustering

BACKGROUND

Immunotherapy, especially immune checkpoint blockade (ICB) therapy, has demonstrated noteworthy advancements in the realm of non-small cell lung cancer (NSCLC). However, the efficacy of ICB therapy is limited to a small subset of patients with NSCLC, and the underlying mechanisms remain poorly understood.

STUDY DESIGN AND DISCOVERIES

In this study, we conducted a comprehensive investigation of the metabolic profiles of infiltrating T cells in NSCLC tumors and revealed the metabolic heterogeneity, which associated with the prognosis of ICB therapy, in three T-cell subtypes. After metabolic clustering, we split these metabolic clusters into two groups: Nonresponse-associated (NR) clusters that enriched with cells from nonresponders, and response-associated (R) clusters that not belonging to NR clusters. Then, we elucidated their metabolic differences and specific functions. Notably, we discovered HSPA1A was significantly downregulated in NR clusters of all three T-cell subtypes. In addition, leveraging single-cell T-cell receptor sequencing data and pseudotime series analysis, we revealed the reciprocal interconversion between R and NR metabolic clusters within the same T-cell clone. This suggests a potential metabolic reprogramming capability of T cells. Furthermore, through the analysis of intercellular communication, we identified the specific intercellular signaling in the R clusters, which might promote the activation and regulation of signal transduction pathways that affect the prognosis of ICB therapy.

CONCLUSION

In conclusion, our study offers substantial insights into the mechanisms of relationships between T-cell metabolisms and ICB therapy outcomes, shedding light on the mechanism of immunotherapy efficacy in patients with NSCLC. Such investigations will contribute to overcoming treatment resistance.

GPR132 regulates the function of NK cells through the Gαs/CSK/ZAP70/NF-κB signaling pathway as a potential immune checkpoint

As a member of the proton-sensing GPCR receptors, GPR132 plays a crucial role in regulating immune cell functions, but the mechanism by which GPR132 affects natural killer (NK) cells has not yet been reported. Here, RNA-seq displayed that the expression of GPR132 was reduced in activated NK cells, and the proportion of mature NK cells in GPR132-/- mice was substantially increased compared to WT mice, with stronger anti-melanoma capabilities. Further investigation indicates that GPR132-deficient NK92 cells expressed more GzmB and IFN-γ and exhibited stronger cytotoxicity. Mechanically, GPR132 regulates NK cell function through the CSK/ZAP70/NF-κB signaling axis. Down-regulation of GPR132 weakens the inhibition of NK cell function by lactate, thereby enhancing the functional execution of CAR-NK cells against colorectal cancer. These results highlight the previously unrecognized role of GPR132 in the regulation of NK cell function and that inhibition of GPR132 provided an updated insight for NK cell therapy.

Prediction of Prognosis in Patients with Sepsis Based on Platelet-Related Genes

The study aimed to develop a risk prognostic model using platelet-related genes (PRGs) to predict sepsis patient outcomes. Sepsis patient data from the Gene Expression Omnibus (GEO) database and PRGs from the Molecular Signatures Database (MSigDB) were analyzed. Differential analysis identified 1139 differentially expressed genes (DEGs) between sepsis and control groups. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses revealed enrichment in functions related to immune cell regulation and pathways associated with immune response and infectious diseases. A risk prognostic model was established using LASSO and Cox regression analyses, incorporating 10 PRGs selected based on their association with sepsis prognosis. The model demonstrated good stratification and prognostic effects, confirmed by survival and receiver operating characteristic (ROC) curve analyses. It served as an independent prognostic factor in sepsis patients. Further analysis using the CIBERSORT algorithm showed higher infiltration of activated natural killer (NK) cells and lower infiltration of CD8 T cells and CD4 T cells naïve in the high-risk group compared to the low-risk group. Additionally, expression levels of human leukocyte antigen (HLA) genes were significantly lower in the high-risk group. In conclusion, the 10-gene risk model based on PRGs accurately predicted sepsis patient prognosis and immune infiltration levels. This study provides valuable insights into the role of platelets in sepsis prognosis and diagnosis, offering potential implications for personalized treatment strategies.

Synthesis and evaluation of chemical linchpins for highly selective CK2α targeting

Casein kinase-2 (CK2) are serine/threonine kinases with dual co-factor (ATP and GTP) specificity, that are involved in the regulation of a wide variety of cellular functions. Small molecules targeting CK2 have been described in the literature targeting different binding pockets of the kinase with a focus on type I inhibitors such as the recently published chemical probe SGC-CK2-1. In this study, we investigated whether known allosteric inhibitors binding to a pocket adjacent to helix αD could be combined with ATP mimetic moieties defining a novel class of ATP competitive compounds with a unique binding mode. Linking both binding sites requires a chemical linking moiety that would introduce a 90-degree angle between the ATP mimetic ring system and the αD targeting moiety, which was realized using a sulfonamide. The synthesized inhibitors were highly selective for CK2 with binding constants in the nM range and low micromolar activity. While these inhibitors need to be further improved, the present work provides a structure-based design strategy for highly selective CK2 inhibitors.

Discovery of potent CSK inhibitors through integrated virtual screening and molecular dynamic simulation

Oncogenic overexpression or activation of C-terminal Src kinase (CSK) has been shown to play an important role in triple-negative breast cancer (TNBC) progression, including tumor initiation, growth, metastasis, drug resistance. This revelation has pivoted the focus toward CSK as a potential target for novel treatments. However, until now, there are few inhibitors designed to target the CSK protein. Responding to this, our research has implemented a comprehensive virtual screening protocol. By integrating energy-based screening methods with AI-driven scoring functions, such as Attentive FP, and employing rigorous rescoring methods like Glide docking and molecular mechanics generalized Born surface area (MM/GBSA), we have systematically sought out inhibitors of CSK. This approach led to the discovery of a compound with a potent CSK inhibitory activity, reflected by an IC50 value of 1.6 nM under a homogeneous time-resolved fluorescence (HTRF) bioassay. Subsequently, molecule 2 exhibits strong growth inhibition of MD anderson - metastatic breast (MDA-MB) -231, Hs578T, and SUM159 cells, showing a level of growth inhibition comparable to that observed with dasatinib. Treatment with molecule 2 also induced significant G1 phase accumulation and cell apoptosis. Furthermore, we have explored the explicit binding interactions of the compound with CSK using molecular dynamics simulations, providing valuable insights into its mechanism of action.

Development of FRET Biosensor to Characterize CSK Subcellular Regulation

C-terminal Src kinase (CSK) is the major inhibitory kinase for Src family kinases (SFKs) through the phosphorylation of their C-tail tyrosine sites, and it regulates various types of cellular activity in association with SFK function. As a cytoplasmic protein, CSK needs be recruited to the plasma membrane to regulate SFKs' activity. The regulatory mechanism behind CSK activity and its subcellular localization remains largely unclear. In this work, we developed a genetically encoded biosensor based on fluorescence resonance energy transfer (FRET) to visualize the CSK activity in live cells. The biosensor, with an optimized substrate peptide, confirmed the crucial Arg107 site in the CSK SH2 domain and displayed sensitivity and specificity to CSK activity, while showing minor responses to co-transfected Src and Fyn. FRET measurements showed that CSK had a relatively mild level of kinase activity in comparison to Src and Fyn in rat airway smooth muscle cells. The biosensor tagged with different submembrane-targeting signals detected CSK activity at both non-lipid raft and lipid raft microregions, while it showed a higher FRET level at non-lipid ones. Co-transfected receptor-type protein tyrosine phosphatase alpha (PTPα) had an inhibitory effect on the CSK FRET response. The biosensor did not detect obvious changes in CSK activity between metastatic cancer cells and normal ones. In conclusion, a novel FRET biosensor was generated to monitor CSK activity and demonstrated CSK activity existing in both non-lipid and lipid raft membrane microregions, being more present at non-lipid ones.

Elucidating the susceptibility to breast cancer: an in-depth proteomic and transcriptomic investigation into novel potential plasma protein biomarkers

Objectives: This study aimed to identify plasma proteins that are associated with and causative of breast cancer through Proteome and Transcriptome-wide association studies combining Mendelian Randomization. Methods: Utilizing high-throughput datasets, we designed a two-phase analytical framework aimed at identifying novel plasma proteins that are both associated with and causative of breast cancer. Initially, we conducted Proteome/Transcriptome-wide association studies (P/TWAS) to identify plasma proteins with significant associations. Subsequently, Mendelian Randomization was employed to ascertain the causation. The validity and robustness of our findings were further reinforced through external validation and various sensitivity analyses, including Bayesian colocalization, Steiger filtering, heterogeneity and pleiotropy. Additionally, we performed functional enrichment analysis of the identified proteins to better understand their roles in breast cancer and to assess their potential as druggable targets. Results: We identified 5 plasma proteins demonstrating strong associations and causative links with breast cancer. Specifically, PEX14 (OR = 1.201, p = 0.016) and CTSF (OR = 1.114, p < 0.001) both displayed positive and causal association with breast cancer. In contrast, SNUPN (OR = 0.905, p < 0.001), CSK (OR = 0.962, p = 0.038), and PARK7 (OR = 0.954, p < 0.001) were negatively associated with the disease. For the ER-positive subtype, 3 plasma proteins were identified, with CSK and CTSF exhibiting consistent trends, while GDI2 (OR = 0.920, p < 0.001) was distinct to this subtype. In ER-negative subtype, PEX14 (OR = 1.645, p < 0.001) stood out as the sole protein, even showing a stronger causal effect compared to breast cancer. These associations were robustly supported by colocalization and sensitivity analyses. Conclusion: Integrating multiple data dimensions, our study successfully pinpointed plasma proteins significantly associated with and causative of breast cancer, offering valuable insights for future research and potential new biomarkers and therapeutic targets.

Regulation, targets and functions of CSK

The Src family kinases (SFK) plays an important role in multiple signal transduction pathways. Aberrant activation of SFKs leads to diseases such as cancer, blood disorders, and bone pathologies. By phosphorylating and inactivating SFKs, the C-terminal Src kinase (CSK) serves as the key negative regulator of SFKs. Similar to Src, CSK is composed of SH3, SH2, and a catalytic kinase domain. However, while the Src kinase domain is intrinsically active, the CSK kinase domain is intrinsically inactive. Multiple lines of evidence indicate that CSK is involved in various physiological processes including DNA repair, permeability of intestinal epithelial cells (IECs), synaptic activity, astrocyte-to-neuron communication, erythropoiesis, platelet homeostasis, mast cell activation, immune and inflammation responses. As a result, dysregulation of CSK may lead to many diseases with different underlying molecular mechanisms. Furthermore, recent findings suggest that in addition to the well-established CSK-SFK axis, novel CSK-related targets and modes of CSK regulation also exist. This review focuses on the recent progress in this field for an up-to-date understanding of CSK.