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Results for “adaptor protein complex 2”

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PubMed2026

AP2: an indispensable host factor in virus infection.

Adaptor protein complex 2 (AP2), a central regulator of clathrin-mediated endocytosis and intracellular cargo trafficking, is hijacked by numerous viruses to complete their infectious cycles. This review systematically synthesizes the multifaceted roles of AP2 across the entire viral life cycle, from entry and replication to assembly and release, as well as in immune evasion. By delineating how diverse viruses exploit this key host machinery, we further consolidate the rationale and current progress in developing broad-spectrum antiviral strategies that target AP2 and its regulatory pathways. This work aims to provide a unified perspective on AP2 as a critical host-pathogen interface, offering new insights into viral pathogenesis and antiviral drug discovery.

Humans↗
PubMed2025

MDC1 mediates Pellino recruitment to sites of DNA double-strand breaks.

Ubiquitylation is critically implicated in the recognition and repair of DNA double-strand breaks. The adaptor protein MDC1 mediates the recruitment of the key DNA damage responsive E3 ubiquitin ligase RNF8 to the break sites. It does so by directly interacting with RNF8 in a phosphorylation-dependent manner that involves the RNF8 FHA domain, thus initiating targeted chromatin ubiquitylation at the break sites. Here, we report that MDC1 also directly binds to two additional E3 ubiquitin ligases, Pellino 1 and 2, which were recently implicated in the DNA damage response. Through a combination of biochemical, biophysical and X-ray crystallographic approaches, we reveal the molecular details of the MDC1-Pellino complexes. Furthermore, we show that in mammalian cells, MDC1 mediates Pellino recruitment to sites of DNA double-strand breaks by a direct phosphorylation-dependent interaction between the two proteins. Taken together, our findings provide new molecular insights into the ubiquitylation pathways that govern genome stability maintenance.

DNA Breaks, Double-Stranded↗
PubMed2025

A model of Notch signalling control of angiogenesis: Evidence of a role for Notch ligand heterodimerization.

The ubiquitous Notch receptor signalling network is essential for tissue growth and maintenance. Operationally, receptor activity is regulated by two principal, counterposed mechanisms: intercellular Notch transactivation triggered by interactions between receptors and ligands expressed in neighbouring cells; intracellular cis inhibition mediated by ligands binding to receptors expressed in the same cell. Moreover, different Notch receptor/ligand combinations are known to elicit distinct molecular and cellular responses, and together, these phenomena determine the strength, the duration and the specificity of Notch receptor signalling. To date, it has been assumed that these processes involve discrete ligand homomers and not heteromeric complexes composed of more than one ligand species. In this study, we explore the molecular basis of the opposing actions of the Notch ligands, DLL4 and JAG1, which control angiogenic sprouting. Through a combination of experimental approaches and mathematical modelling, we provide evidence that two mechanisms could underpin this process: 1) DLL4 rather than JAG1 induces efficient Notch1 receptor transactivation; 2) JAG1 directly blocks DLL4-dependent cis-inhibition of Notch signalling through the formation of a JAG1/DLL4 complex. We propose a new model of Notch signalling that recapitulates the formation of tip and stalk cells, which is necessary for sprouting angiogenesis.

Signal Transduction↗
PubMed2025

Guanine nucleotide biosynthesis blockade impairs MLL complex formation and sensitizes leukemias to menin inhibition.

Targeting the dependency of MLL-rearranged (MLLr) leukemias on menin with small molecule inhibitors has opened new therapeutic strategies for these poor-prognosis diseases. However, the rapid development of menin inhibitor resistance calls for combinatory strategies to improve responses and prevent resistance. Here we show that leukemia stem cells (LSCs) of MLLr acute myeloid leukemia (AML) exhibit enhanced guanine nucleotide biosynthesis, the inhibition of which leads to myeloid differentiation and sensitization to menin inhibitors. Mechanistically, targeting inosine monophosphate dehydrogenase 2 (IMPDH2) reduces guanine nucleotides and rRNA transcription, leading to reduced protein expression of LEDGF and menin. Consequently, the formation and chromatin binding of the MLL-fusion complex is impaired, reducing the expression of MLL target genes. Inhibition of guanine nucleotide biosynthesis or rRNA transcription further suppresses MLLr AML when combined with a menin inhibitor. Our findings underscore the requirement of guanine nucleotide biosynthesis in maintaining the function of the LEDGF/menin/MLL-fusion complex and provide a rationale to target guanine nucleotide biosynthesis to sensitize MLLr leukemias to menin inhibitors.

Proto-Oncogene Proteins↗
PubMed2025

Clinical and Genetic Findings in Patients With Palmoplantar Keratoderma.

IMPORTANCE: Palmoplantar keratoderma poses diagnostic challenges due to its clinical and genetic heterogeneity, and knowledge on the value of systematic genetic testing on clinically well-described patient cohorts is sparse. OBJECTIVE: To improve knowledge of the clinical and genetic spectrum of patients with palmoplantar keratoderma. DESIGN, SETTING, AND PARTICIPANTS: This cohort study prospectively recruited patients and affected family members with palmoplantar keratoderma between September 1, 2016, and December 31, 2022. Patients were recruited from private practitioners in dermatology and dermatology departments in Denmark. Study participants were patients 18 years or older either newly diagnosed with palmoplantar keratoderma or being followed up for the disease at referral centers. MAIN OUTCOMES AND MEASURES: Phenotypes and clinical subtypes were classified. Genetic testing was performed by whole-exome or genome sequencing using an in silico panel containing genes related to palmoplantar keratoderma, or by Sanger sequencing for specific variants. Descriptive analysis, such as proportions and frequency, were used to describe clinical characteristics, distribution of disease-causing variants, and genotype-phenotype associations. RESULTS: This study included 142 study participants from 76 families (90 [63%] female; median [range] age, 52 [18-92] years). Clinical subtypes included 42 punctate (55%), 26 diffuse (34%), 5 focal (7%), and 3 striate (4%). A genetic diagnosis was found in 63 of 76 families (83%), including 27 disease-causing variants within 13 different genes: AAGAB (n = 39), DSG1 (n = 8), KRT1 (n = 3), DSP (n = 2), KRT9 (n = 2), AQP5 (n = 2), KRT16 (n = 1), SERPINA12 (n = 1), ABCA12 (n = 1), COL7A1 (n = 1), CARD14 (n = 1), DST (n = 1), and LORICRIN (n = 1). All participants with AAGAB variants presented with punctate palmoplantar keratoderma, showing a clear genotype-phenotype correlation. The other subtypes (diffuse, focal, and striate) proved more challenging to clinically subclassify, and disease-causing variants were identified in 12 genes, contributing to more complex genotype-phenotype patterns. Patients with palmoplantar keratoderma due to DSP variants were found, which is important to identify because of an associated risk of cardiomyopathy. CONCLUSION AND RELEVANCE: This study provides novel insights into the clinical and genetic spectrum of patients with palmoplantar keratoderma. It demonstrates the value of genetic testing for accurate diagnoses and to distinguish between different subtypes. The established and well-described cohort lays the foundation for future research in palmoplantar keratoderma.

Humans↗
PubMed2025

NME2 modulates HCC progression through 4EBP1 phosphorylation and autophagy regulation independent of mTOR.

BACKGROUND: To investigate the role of nucleoside diphosphate kinase 2 (NME2) in HCC progression, assessing its therapeutic potential. METHODS: Utilizing transcriptome sequencing data from The Cancer Genome Atlas (TCGA) and immunohistochemical staining of tissue microarrays, we analyzed NME2 expression in HCC tumor tissues. The effects of NME2 on HCC cell proliferation and autophagy flux were assessed through knockdown and overexpression experiments. Additionally, the relationship between NME2 and 4EBP1 phosphorylation was explored through specific site mutation analysis. RESULTS: NME2 overexpression in HCC correlated with poor prognosis. NME2 knockdown significantly hindered HCC cell proliferation and induced autophagy flux. Notably, NME2 modulates 4EBP1 phosphorylation (Thr37/46) independently of mTOR, unveiling a novel axis in HCC pathogenesis. Additionally, NME2 modulates eukaryotic translation initiation factor 4F (eIF4F) complex formation and autophagy flux. CONCLUSIONS: NME2 plays a crucial role in HCC development by modulating 4EBP1 phosphorylation and autophagy through an mTOR-independent pathway. Our research underscores NME2's significance as a potential therapeutic target in HCC, meriting further exploration of its underlying mechanisms and clinical applicability.

Humans↗
PubMed2026

Role of IFIT1 and IFIT3 in systemic lupus erythematosus: modeling a diagnosis and exploring immune regulation.

Systemic lupus erythematosus (SLE) is a complex autoimmune disorder characterized by multi-organ involvement and a protracted clinical course. Current diagnostic strategies, which rely heavily on clinical symptoms and serology, are often insufficient for early detection. Therefore, highly accurate diagnostic biomarkers are urgently needed to facilitate early intervention and optimize personalized treatment strategies. D atasets GSE61635 and GSE135779 were integrated to identify differentially expressed genes. Weighted gene co-expression network analysis (WGCNA) was performed to isolate the module with the strongest clinical relevance. Mendelian randomization and single‑cell RNA‑seq were used to identify key disease‑relevant genes. A diagnostic model was then constructed, and gene set variation analysis (GSVA), along with gene set enrichment analysis (GSEA), was conducted to elucidate the underlying molecular pathways. IFIT1 and IFIT3 were identified as 2 core genes highly expressed in monocytes and T cells of SLE patients. Functional enrichment analysis revealed that these genes were enriched in immune-related pathways, metabolic pathways related to inflammation and genomic stability. The diagnostic model showed good accuracy, with an area under the curve (AUC) of 0.974 on the training set and 0.912 on the validation set. IFIT1 and IFIT3 represent promising biomarkers for diagnosing SLE and appear to mediate key immune and metabolic disturbances. Furthermore, the developed model serves as an accurate and reliable instrument for early diagnosis and personalized therapy. Large-scale clinical studies are warranted to further validate these findings and evaluate their clinical application.

Humans↗
PubMed2026

Genetic determinants of gestational diabetes mellitus in thai pregnant women: role of GCKR, CDKAL1, TCF7L2, NEDD1, and CMIP variants.

BACKGROUND: Gestational diabetes mellitus (GDM) has a high global prevalence and arises from complex interactions between genetic predisposition and environmental factors. GDM is associated with metabolic disturbances and chronic low-grade inflammation, both of which contribute to its pathogenesis. This study aimed to investigate the association between GDM and 135 single-nucleotide polymorphisms (SNPs) across 20 genes related to metabolic traits. METHODS: In this case-control study, 152 pregnant women with GDM and 684 pregnant women with normal glucose tolerance (NGT) who underwent antenatal examination at Siriraj Hospital, Bangkok, were enrolled. Clinical data and blood samples were collected from all participants. Genomic DNA was isolated and subjected to whole-genome sequencing using the DNBSEQ-T7RS high-throughput sequencing platform. Genotype analyses were performed using R software, and haplotype analyses were conducted using the online SNPStats software. RESULTS: After adjusting for maternal age and pre-pregnancy body mass index, polymorphisms in TCF7L2 (rs34872471, rs7901695, rs4506565, rs7903146, rs12243326, and rs12255372), NEDD1 (rs10431408, rs11830756, rs249579, rs249585, and rs4762339), CMIP (rs2306115 and rs201681534), CDKAL1 (rs4710942), GCKR (rs2293572 and rs2293571), and GCK (rs5883890) were significantly associated with the risk of GDM. Haplotype analysis demonstrated that the TCF7L2 rs12243326-rs12255372 CA haplotype was associated with a decreased risk of GDM (OR = 0.44, 95% CI: 0.23-0.81), while the NEDD1 rs249579-rs249585-rs4762339 GGT haplotype was associated with an increased risk of GDM (OR = 1.40, 95% CI: 1.08-1.82). CONCLUSIONS: These findings suggest that genetic variations in TCF7L2, NEDD1, CMIP, CDKAL1, GCK, and GCKR contribute to GDM susceptibility in the Thai population.

Humans↗