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PubMed2006

Activating and inhibitory FcgammaRs in autoimmune disorders.

Autoimmune disorders are characterized by the destruction of self-tissues by the immune system. Multiple checkpoints are in place to prevent autoreactivity under normal circumstances. Coexpression of activating and inhibitory Fc receptors (FcR) represents such a checkpoint by establishing a threshold for immune cell activation. In many human autoimmune diseases, however, balanced FcR expression is disturbed. Analysis of murine model systems provides strong evidence that aberrant FcR expression can result in uncontrolled immune responses and the initiation of autoimmune disease. This review will summarize this data and explain how this information might be used to better understand human autoimmune diseases and to develop novel therapeutic strategies.

Animals↗

PubMed2026

Exploring trop-2-directed ADCs monotherapy and combination therapy in pretreated mTNBC: a real-world study.

PURPOSE: Although Trop-2 antibody-drug conjugates (ADCs) have improved outcomes in pretreated metastatic triple-negative breast cancer (mTNBC), resistance remains common and the optimal combination strategy in routine practice is unclear. METHODS: In this retrospective real-world study, we identified patients with mTNBC from a health record-derived database who received sacituzumab govitecan or sacituzumab tirumotecan in the later-line setting between April 2020 and December 2025. Patients received at least two cycles of Trop-2 ADC therapy as monotherapy, plus a PD-1 inhibitor (dual-agent combination), or plus a PD-1 inhibitor and an antiangiogenic agent (triple-agent combination). RESULTS: Descriptively, the ORR was 57.1% in the triple-agent combination group, 38.5% in the dual-agent combination group, and 31.7% in the monotherapy group. Median follow-up was 15.2 months (95% CI, 8.7-20.6). Median progression-free survival (mPFS) was 15.4 months (95% CI, 5.3-NA) in the triple-agent combination group, 10.0 months (95% CI, 4.2-NA) in the dual-agent combination group, and 3.8 months (95% CI, 3.2-5.2) in the monotherapy group. Severe treatment-related toxicity was not increased in the combination groups. Exploratory analyses identified a genomic scoring system that may enable stratification of patients with a higher likelihood of benefiting from the triple-agent combination. CONCLUSION: To our knowledge, this study represents one of the earliest real-world evaluations of this triple-agent strategy in previously treated mTNBC, providing a basis for further prospective validation and biomarker-guided application.

Humans↗

PubMed2026

Single-cell and spatial transcriptomic technologies for lung cancer tumor microenvironment analysis.

Lung cancer remains one of the leading causes of cancer-related mortality worldwide; beyond its rising incidence, its marked molecular heterogeneity and complex tumor microenvironment (TME) hinder treatment response and drive resistance, contributing directly to its high mortality rate. Single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) provide complementary approaches for dissecting these features. scRNA-seq enables high-resolution analysis of cellular diversity and transcriptional states but requires tissue dissociation and therefore loses spatial context. In contrast, ST preserves tissue architecture and provides insights into how gene-expression programs within the TME are organized, although no currently available spatial platform combines whole-transcriptome coverage with true single-cell resolution over large tissue areas. Together, these technologies have enabled detailed mapping of tumor, immune and stromal populations and of their spatial interactions, revealing functionally distinct cellular niches that contribute to immune evasion, metastasis and response to therapy. In this narrative review we organize the primary literature around a single question, how spatially structured cellular ecosystems, rather than individual cell types, determine therapeutic response and resistance in lung cancer - and we explicitly separate observations that are reproducible across independent cohorts and platforms from those that remain confined to single studies. We further summarize the technical, analytical and logistic barriers that currently prevent spatially resolved signatures from entering routine diagnostic pathology. Understanding dysregulated pathways and spatially constrained intercellular communication within the TME helps identify candidate biomarkers and may support the identification of therapeutic approaches directed at tumor-intrinsic programs as well as at microenvironment-driven resistance mechanisms.

Cell-cell communication↗

PubMed2025

Cancer-induced nerve injury promotes resistance to anti-PD-1 therapy.

Perineural invasion (PNI) is a well-established factor of poor prognosis in multiple cancer types1, yet its mechanism remains unclear. Here we provide clinical and mechanistic insights into the role of PNI and cancer-induced nerve injury (CINI) in resistance to anti-PD-1 therapy. Our study demonstrates that PNI and CINI of tumour-associated nerves are associated with poor response to anti-PD-1 therapy among patients with cutaneous squamous cell carcinoma, melanoma and gastric cancer. Electron microscopy and electrical conduction analyses reveal that cancer cells degrade the nerve fibre myelin sheets. The injured neurons respond by autonomously initiating IL-6- and type I interferon-mediated inflammation to promote nerve healing and regeneration. As the tumour grows, the CINI burden increases, and its associated inflammation becomes chronic and skews the general immune tone within the tumour microenvironment into a suppressive and exhaustive state. The CINI-driven anti-PD-1 resistance can be reversed by targeting multiple steps in the CINI signalling process: denervating the tumour, conditional knockout of the transcription factor mediating the injury signal within neurons (Atf3), knockout of interferon-α receptor signalling (Ifnar1-/-) or by combining anti-PD-1 and anti-IL-6-receptor blockade. Our findings demonstrate the direct immunoregulatory roles of CINI and its therapeutic potential.

Animals↗

PubMed2025

Multimodal deep learning for immunotherapy response prediction and biomarker discovery in non-small cell lung cancer.

OBJECTIVE: Immunotherapy has emerged as a promising treatment for advanced non-small cell lung cancer (NSCLC), but accurately predicting which patients will benefit from it remains a major clinical challenge. To address this, we aim to develop a novel multimodal method, DeepAFM, that integrates histopathology, genomic features, and clinical information to predict patient responses to anti-PD-(L)1 immunotherapy. MATERIALS AND METHODS: A total of 93 patients with advanced NSCLC were included in this study. Histopathological whole-slide images were processed using a self-supervised VQVAE2 for representation learning. PCA and K-means clustering were then applied for dimensionality reduction and feature grouping. Key regions of interest were visualized through permutation importance evaluation and color-coding techniques. The extracted histopathological features, along with genomic alterations and clinical variables, were integrated into the DeepAFM multimodal prediction model. RESULTS: The DeepAFM achieved a high predictive performance with an area under the curve (AUC) of 0.77 (95% confidence interval: 0.69-1.00). Attention-based heatmaps revealed that the model could identify critical pathological patterns, genomic mutations, and clinical indicators associated with patient responses to immunotherapy. DISCUSSION: The integration of multimodal data enabled the model to capture complex interactions among pathology, genomics, and clinical characteristics, enhancing the interpretability and predictive power of immunotherapy response prediction. The visualization techniques facilitated the identification of biologically meaningful features and potential biomarkers. CONCLUSION: This study demonstrates the effectiveness of the DeepAFM in predicting responses to immunotherapy in advanced NSCLC. The approach not only improves prediction accuracy but also provides valuable insights for personalized treatment strategies and biomarker discovery.

Humans↗

PubMed2024

LRP4 mutations promote tumor progression and resistance to anti-PD-1 therapy in recurrent hepatocellular carcinoma.

BACKGROUND AND AIMS: HCC recurrence is a major factor limiting long-term survival and the cause of most deaths in patients with HCC. However, molecular characterization and potential therapeutic targets of recurrent HCC remain mostly unknown. APPROACH AND RESULTS: We performed whole-exome sequencing in 63 matched primary and recurrent HCC tumors and combined the data with whole-genome sequencing results in 43 paired samples from our previous study. Sanger sequencing was used to identify all low-density lipoprotein receptor-related protein 4 ( LRP4 ) coding exons in 203 additional patients with recurrent HCC. We identified LRP4 somatic mutations in 7.8% (24/309) of recurrent tumors and only 0.97% (3/309) of primary tumors ( p <0.001). Prognosis after the second liver resection was poorer in patients with an LRP4 mutation. Biofunctional investigations demonstrated that inactivating LRP4 mutations promoted tumor progression and immunosuppression. Mechanistically, mutated LRP4 reduced intratumoral conventional type 1 dendritic cell and CD8 + T cell infiltration by repressing C-C motif chemokine ligand 4 expression and secretion through activation of β-catenin signaling, resulting in resistance to anti-programmed cell death protein-1 therapy. Patients with recurrent HCC carrying an LRP4 mutation did not benefit from anti-programmed cell death protein-1 treatment after their second resection surgery. A β-catenin inhibitor-reversed LRP4-induced resistance to anti-programmed cell death protein-1 therapy in humanized tumor-bearing mice. CONCLUSIONS: Our results identified novel LRP4 mutations important in recurrent HCC. Inactivating LRP4 mutations were associated with resistance to anti-programmed cell death protein-1 therapy and could be useful biomarkers for precision therapy in patients with recurrent HCC.

Humans↗

PubMed2025

ProgModule: A novel computational framework to identify mutation driver modules for predicting cancer prognosis and immunotherapy response.

BACKGROUND: Cancer originates from dysregulated cell proliferation driven by driver gene mutations. Despite numerous algorithms developed to identify genomic mutational signatures, they often suffer from high computational complexity and limited clinical applicability. METHODS: Here, we presented ProgModule, an advanced computational framework designed to identify mutation driver modules for cancer prognosis and immunotherapy response prediction. In ProgModule, we introduced the Prognosis-Related Mutually Exclusive Mutation (PRMEM) score, which optimizes the balance between exclusive mutation coverage and the incorporation of mutation combination mechanisms critical for cancer prognosis. RESULTS: Applying to BLCA and HNSC cohorts, ProgModule successfully identified driver modules that stratify patients into distinct prognostic subgroups, and the combination of these modules could serve as an effective prognostic biomarker. Extending our method to diverse cancers, ProgModule presented robust prognostic performance and stability across model parameters, including stopping criteria and network topology. Moreover, our analysis suggested that driver modules can predict immunotherapeutic benefit more effectively than existing signatures. Further analyses based on published CRISPR data indicated that genes within these modules may serve as potential therapeutic targets. CONCLUSIONS: Altogether, ProgModule emerges as a powerful tool for identifying mutation driver modules as prognostic and immunotherapy response biomarkers, and genes within these modules may be used as potential therapeutic targets for cancer, offering new insights into precision oncology.

Humans↗

PubMed2026

Long-term follow-up of a phase 1/2 trial of anti-GDF-15 antibody visugromab plus anti-PD-1 antibody nivolumab in anti-PD-1/-L1 relapsed/refractory solid tumors.

BACKGROUND: Resistance to anti-PD-1/PD-L1 therapy is a major unmet need. Growth Differentiation Factor 15 (GDF-15) has been identified as a key resistance factor for anti-PD-1/PD-L1 immunotherapy. Visugromab, a neutralizing anti-GDF-15 antibody, plus the anti-PD-1 antibody nivolumab (V+N) was evaluated in the first-in-human phase 1/2a GDFATHER-01 trial in heavily pretreated participants with locally advanced/metastatic non-squamous non-small-cell lung cancer (nsq NSCLC), urothelial carcinoma (UC), or hepatocellular carcinoma (HCC), stringently defined as anti-PD-1/PD-L1-relapsed/refractory, and showed encouraging objective responses. This analysis reports long-term follow-up of these three phase 2 expansion cohorts of the GDFATHER-01 trial. METHODS: Seventy-seven participants with nsq NSCLC (N=22), UC (N=27), and HCC (N=28) received visugromab (10 mg/kg) plus nivolumab (240 mg) every two weeks until disease progression or unacceptable toxicity. RESULTS: Objective response rates (RECIST v1.1) were 18.2% for nsq NSCLC (4/22; 95%CI 5.2-40.3), 18.5% for UC (5/27; 95%CI 6.3-38.1), and 14.3% for HCC (4/28; 95%CI 4.0-32.7). Median duration of response (DoR) was 32.2 months (95%CI 5.5-38.0), 28.8 months (95%CI 7.4-39.4), and 19.4 months (95%CI 5.8-39.7; with protracted recruitment), respectively, with 7/13 responses (53.8%) ongoing. Confirmed complete response or complete metabolic response (CR or CMR) among responders was 61.5% (8/13), with 7/8 ongoing. In addition, 46.2% (6/13) of responders achieved a deeper response on V+N per RECIST v1.1 than with the prior anti-PD-(L)1 therapy; median DoR on V+N was 28.8 months (95%CI 7.4-38.0) versus 12.0 months (95%CI 8.0-24.0) on initial anti-PD-1/PD-L1 treatment. V+N was generally well tolerated. CONCLUSIONS: In heavily pretreated, advanced/metastatic participants with nsq NSCLC, UC, or HCC who were anti-PD-1/PD-L1-relapsed/refractory, V+N achieved deep and durable objective responses. The observed DoR, depth of response, and CR+CMR rate among responders exceeded those reported for their initial anti-PD-1/PD-L1 therapy. These findings suggest that GDF-15 blockade with visugromab can overcome resistance and enhance the magnitude and durability of anti-PD-1/PD-L1 responses, and warrant further exploration in randomized trials. REGISTRY: ClinicalTrials.gov, TRN: NCT04725474, Registration date: 25 January 2021; EudraCT, TRN: 2020-002103-19, Registration date 16 Dec 2020.

Humans↗

PubMed2026

Unraveling the Enigma of Melanoma Brain Metastasis: New Molecular Insights and Therapeutic Directions.

Melanoma, a highly aggressive and metastatic cancer, poses significant challenges due to its propensity to spread to distant organs, with brain metastasis representing a particularly devastating complication. This review synthesizes preclinical and clinical evidence on the molecular, cellular, and microenvironmental mechanisms driving melanoma metastasis, emphasizing mechanisms of blood-brain barrier traversal, tumor-stroma co-option, and brain-specific genomic and transcriptional programs. We summarize advances in therapeutic strategies to combat melanoma brain metastasis including novel small molecules, immunotherapies, and combination approaches tailored for brain metastases. The review also highlights the immunological landscape of the brain, translational models, and multidisciplinary clinical management strategies. Finally, we identify critical research gaps, including the need for brain metastasis-specific clinical trials, AI-driven predictive models, and preventive strategies, to guide future efforts in improving outcomes for patients with melanoma brain metastasis.

Humans↗

PubMed1999

Early arrest in B cell development in transgenic mice that express the E41K Bruton's tyrosine kinase mutant under the control of the CD19 promoter region.

Bruton's tyrosine kinase (Btk) is a nonreceptor protein kinase that is defective in X-linked agammaglobulinemia in humans and in X-linked immunodeficiency in mice. To study the effect of Btk activation in early B cell development in vivo, we have created transgenic mouse strains expressing Btk under the control of the human CD19 promoter region. The transgenic expression of wild-type human Btk corrected all X-linked immunodeficiency features in mice carrying a targeted disruption of the Btk gene. In contrast, expression of an activated form of Btk, the E41K mutant, resulted in an almost complete arrest of B cell development in the immature IgM+IgD- B cell stage in the bone marrow, irrespective of the presence of the endogenous intact Btk gene. Immature B cells were arrested at the progression from IgMlow into IgMhigh cells, which reflects the first immune tolerance checkpoint at which autoreactive B cells become susceptible to apoptosis. As the constitutive activation of Btk is likely to mimic B cell receptor occupancy by autoantigens in the bone marrow, our findings are consistent with a role for Btk as a mediator of B cell receptor-induced apoptotic signals in the immature B cell stage. Whereas the peripheral mature B cell pool was reduced to <1% of the normal size, significant numbers of IgM-secreting plasma cells were present in the spleen. Serum IgM levels were substantial and increased with age, but specific Ab responses in vivo were lacking. We conclude that the residual peripheral B cells were efficiently driven into IgM+ plasma cell differentiation, apparently without functional selection.

Agammaglobulinaemia Tyrosine Kinase↗

PubMed2026

Cyclin-dependent kinase 4 and 6 inhibitors and the breast cancer immune ecosystem: immune remodeling, resistance, and therapeutic reprogramming.

Cyclin-dependent kinase 4 and 6 inhibitors (CDK4/6 inhibitors) combined with endocrine therapy have become a therapeutic backbone for hormone receptor-positive, human epidermal growth factor receptor 2-negative breast cancer, yet durable disease control is frequently limited by intrinsic and acquired resistance. Canonical tumor-cell mechanisms, including retinoblastoma-pathway escape, cyclin E-cyclin-dependent kinase 2 (CDK2) activation, endocrine adaptation, and phosphoinositide 3-kinase (PI3K)-AKT-mechanistic target of rapamycin (mTOR) signaling, explain only part of this failure because they do not fully capture dynamic immune and stromal remodeling. Preclinical and translational studies indicate that early CDK4/6 inhibition can enhance antigen presentation, activate interferon-related programs, restrain regulatory T cells, and promote a T-cell-inflamed state. These effects are conditional and may not persist during prolonged treatment. Sustained therapy can instead drive heterogeneous resistant niches characterized by stromal remodeling, myeloid recruitment, checkpoint adaptation, and T-cell dysfunction. This immune-state dependence provides a rationale for immune checkpoint blockade, although clinical combinations have shown mixed efficacy and clinically relevant hepatic, pulmonary, and hematologic toxicities. Sequential or lead-in strategies therefore warrant prospective evaluation. Oxidative phosphorylation (OXPHOS) and redox adaptation may sustain selected resistant states and expose context-dependent ferroptotic vulnerabilities. Ferroptosis may connect tumor-cell killing with immune regulation, whereas nanomedicine may improve tumor-selective delivery. Both strategies remain largely preclinical and require further evaluation of pharmacokinetics, biodistribution, toxicity, manufacturability, and immune-cell safety. This Review distinguishes intrinsic from acquired resistance across interpatient, intratumoral, spatial, and temporal dimensions. It integrates tumor-cell escape with cytokine, immune, stromal, vascular, and metabolic remodeling and summarizes emerging therapeutic strategies. We further propose a candidate biomarker-informed framework that integrates genomic profiling, spatial immune architecture, circulating biomarkers, T-cell receptor (TCR) dynamics, transcriptomic and single-cell analyses, artificial intelligence (AI)-assisted multimodal integration, and longitudinal sampling. This framework is intended to support biomarker development and prospective trial design rather than current clinical decision-making, providing a translational basis for testing state-informed and sequence-aware therapeutic strategies.

Humans↗

PubMed2025

CD40 transcriptomic expression patterns across malignancies: implications for clinical trials of CD40 agonists.

BACKGROUND: CD40 is a T-cell co-stimulatory receptor targeted by next-generation immunotherapies. We conducted a pan-cancer transcriptome analysis of CD40, its ligand, and related immune markers to evaluate co-expression patterns and clinical outcomes. METHODS: We analyzed transcriptome data for CD40, its ligand, and other common checkpoints and co-stimulators (PD-1, PD-L1, PD-L2, CTLA-4, LAG-3, ICOS, CD27, CD28, OX40, and GITR). RNA expression was classified as high (75-100th percentile), moderate (25-74th), or low (0-24th) against a reference population of 735 previously tested solid tumors. RESULTS: Of 514 patients, 114 (22%) showed high, 247 (48%) moderate, and 153 (30%) low CD40 RNA expression. High CD40 expression was most frequent in liver and bile duct (42%), pancreatic (42%), and ovarian (40%) cancers. Both high CD40 and low-moderate CD40 ligand expression-potentially conducive to CD40 agonist therapy-was most frequent in ovarian (33%) and pancreatic (24%) cancer. In both UCSD (N = 514) and TCGA (N = 10,953) cohorts, high CD40 expression significantly correlated with high CD28 and GITR. High CD40 RNA levels were not prognostic for overall survival (OS) from metastatic disease (P = 0.2) (n = 272 immune checkpoint inhibitor (ICI)-naïve patients). High CD40 expression correlated with longer OS from immunotherapy initiation (n = 217 ICI-treated patients; P = 0.04, univariable analysis), but not multivariable analysis, suggesting it may not be an independent predictive biomarker. CONCLUSION: High CD40 expression correlated with liver and bile duct, pancreatic, and ovarian cancers, as well as with CD28 and GITR transcripts. Immune marker co-expression in individual patients merits further exploration for the development of CD40-based and other immunotherapy interventions.

Humans↗

PubMed2006

Helper T cell-regulated B cell immunity.

In this review, we will discuss the cascade of cellular and molecular events in the immune response to protein antigens that regulate the development of high-affinity B cell memory. The behavior of antigen-experienced pMHCII+ dendritic cells DCs and the dynamics of their interaction with specific T-helper (Th) cells define the first developmental checkpoint for adaptive immunity in vivo. Recent studies provide insight into the basis of Th cell clonal selection and the requirements and consequences of antigen priming in this responsive Th cell compartment. Antigen-specific Th cells expand to become the cognate regulators of effector B cell responses and initiators of the germinal center reaction and memory B cell development. We will discuss the development and role of these diverse mixtures of antigen-specific B cells in the control of B cell memory and long-term humoral immunity that underpin effective protein vaccination.

Animals↗

PubMed2026

A per- and polyfluoroalkyl substances-based gene signature links prognosis to immune landscapes in thyroid cancer.

BACKGROUND: Thyroid cancer (THCA) is the most common endocrine malignancy with a rising global incidence and significant heterogeneity. Although per- and polyfluoroalkyl substances (PFAS) exposure is linked to thyroid dysfunction, the prognostic value of per- and polyfluoroalkyl substances-related genes (PFASRGs) and their role in the tumor immune microenvironment (TME) remain poorly understood. This study aims to systematically screen key PFASRGs and evaluate their prognostic value as biomarkers for THCA. METHODS: Utilizing The Cancer Genome Atlas (TCGA)-THCA transcriptomic data and PFASRGs, we constructed a prognostic model through differential expression analysis, univariate and multivariate Cox regression analyses, and the least absolute shrinkage and selection operator (LASSO). The model's robustness was validated using receiver operating characteristic (ROC) curves, Kaplan-Meier analysis, and clinical nomograms. Furthermore, the TME, immunotherapy response, and drug sensitivities were systematically evaluated. Distinct molecular landscapes were characterized by stratifying the cohort via unsupervised consensus clustering analysis. RESULTS: The eight-gene prognostic model demonstrated robust performance, with area under the curve (AUC) values exceeding 0.85 across all validation cohorts. High-risk patients exhibited significantly shorter overall survival and an "inflamed" TME characterized by high immune scores and checkpoint expression. In contrast, the therapeutic efficacy of anti-programmed death-ligand 1 (PD-L1) agents was more pronounced in the low-risk category, as evidenced by a superior objective response. Furthermore, distinct molecular subtypes and risk-specific sensitivities to targeted agents, such as sorafenib and sunitinib, were identified, highlighting the model's clinical utility for personalized treatment. CONCLUSIONS: We established a novel THCA prognostic framework based on eight PFASRGs. This model exhibits superior performance in risk stratification, effectively distinguishing cohorts with divergent clinical trajectories, unique immune microenvironment features, and varied therapeutic responses. Our findings provide a powerful predictive tool for refining prognostic evaluation and facilitating the implementation of personalized management strategies for THCA patients.

Per- and polyfluoroalkyl substances-related genes ↗

PubMed2006

Dual role for RhoA in suppression and induction of cytokines in the human neutrophil.

Production of tumor necrosis factor-alpha (TNFalpha) by the neutrophil (PMN) is a pivotal event in innate immunity, but the signals regulating TNFalpha induction in this primary cell are poorly understood. Herein, we use protein transduction to identify novel, opposing anti- and pro-cytokine-inducing roles for RhoA in the resting and lipopolysaccharide (LPS)-stimulated human PMN, respectively. In the resting cell, RhoA suppresses Cdc42 activation, IkappaBalpha degradation, nuclear factor-kappaB (NF-kappaB) activation, and induction of TNFalpha and NF-kappaB-dependent chemokines. Suppression of TNFalpha induction by RhoA is Rho kinase alpha (ROCKalpha) independent, but Cdc42 dependent, because TNFalpha induction by C3 transferase is attenuated by inhibition of Cdc42, and constitutively active Cdc42 suffices to activate NF-kappaB and induce TNFalpha. By contrast, we also place RhoA downstream of p38 mitogen-activated protein kinase and Cdc42 in a novel LPS-activated pathway in which p38, Cdc42, and ROCKalpha all promote TNFalpha protein expression. The p65 subunit of NF-kappaB coprecipitates with RhoA in a manner sensitive to the RhoA activation state. Our findings suggest a new, 2-faced role for RhoA as a checkpoint in innate immunity.

Cytokines↗

PubMed2006

B cells discriminate the rules of engagement.

How B cells discriminate antigen-receptor-mediated signals in development and navigate critical checkpoints in adaptive immune responses remains poorly resolved. In this issue of Immunity, conditionally ablate the main regulatory subunit of the calcineurin phosphatase complex in B cells to reveal both positive and negative influences on the development of antibody responses and B cell memory.

Animals↗

PubMed2006

Autophosphorylation at serine 1987 is dispensable for murine Atm activation in vivo.

The ATM (ataxia telangiectasia mutated) protein kinase is activated under physiological and pathological conditions that induce DNA double-strand breaks (DSBs). Loss of ATM or failure of its activation in humans and mice lead to defective cellular responses to DSBs, such as cell cycle checkpoints, radiation sensitivity, immune dysfunction, infertility and cancer predisposition. A widely used biological marker to identify the active form of ATM is the autophosphorylation of ATM at a single, conserved serine residue (Ser 1981 in humans; Ser 1987 in mouse). Here we show that Atm-dependent responses are functional at the organismal and cellular level in mice that express a mutant form of Atm (mutation of Ser to Ala at position 1987) as their sole Atm species. Moreover, the mutant protein does not exhibit dominant-negative interfering activity when expressed physiologically or overexpressed in the context of Atm heterozygous mice. These results suggest an alternative mode for stimulation of Atm by DSBs in which Atm autophosphorylation at Ser 1987, like trans-phosphorylation of downstream substrates, is a consequence rather than a cause of Atm activation.

Animals↗

PubMed2002

Global reprogramming of dendritic cells in response to a concerted action of inflammatory mediators.

Maturation of dendritic cells (DC) serves a deterministic role in the link between innate and adaptive immunity, constituting a checkpoint with regard to whether responses from the lymphocyte compartment shall be raised and what class of response is needed to protect the host against invading pathogens. Since DC have not been shown to possess mechanisms such as gene recombination or somatic mutation for generating a diverse repertoire of antigen-recognition receptors, it is unlikely that these leukocytes can intrinsically respond to all conceivable molecules present in our environment. In the present study, we have therefore determined how mediators of the inflammatory response regulate global gene transcription in DC. The data represent an extensive and time-ordered reprogramming of the DC during their course of maturation, involving genes encoding proteins that regulate responses of both innate cells and lymphocytes. This transcriptional reorganization may reflect the effect of in vivo released inflammatory mediators induced by endogenous or pathogenic stimulation.

Antigens, CD↗