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Kai Li

Publications and source records attributed to Kai Li.

5 recordsLinked to original sources
PubMed2026

E2F7 promotes lung adenocarcinoma progression by affecting phosphorylation and stabilization of β-catenin.

BACKGROUND: E2F transcription factor 7 (E2F7) has been implicated in the tumorigenesis and progression of multiple cancer types; however, the molecular mechanisms through which E2F7 regulates malignant phenotypes in cancer cells remain largely undefined. In this study, we investigated the biological functions and underlying mechanisms of E2F7 in lung adenocarcinoma (LUAD). METHODS: E2F7 expression in LUAD was analyzed using The Cancer Genome Atlas (TCGA) datasets and further validated in clinical specimens via quantitative real-time polymerase chain reaction (PCR) and immunohistochemistry. The effects of E2F7 on cancer cell self‑renewal and epithelial-mesenchymal transition (EMT) were assessed using sphere formation and Transwell assays, respectively. In vivo tumorigenicity and metastasis were evaluated using xenograft models combined with extreme limiting dilution analysis to assess tumor-initiating capacity. Wnt/β‑catenin pathway activity was measured using T-cell factor optimal promoter luciferase reporter plasmid/far-from optimal promoter luciferase reporter plasmid (TOP/FOP) flash reporter assays. β‑Catenin expression, stability, and ubiquitination were examined via western blotting, cycloheximide chase assays, and ubiquitination assays. Protein-protein interactions among E2F7, β‑catenin, and glycogen synthase kinase 3 beta (GSK3β) were verified through co‑immunoprecipitation (Co‑IP), glutathione S‑transferase (GST) pull‑down, and immunofluorescence assays. Truncated mutants were generated to map the functional binding domains of E2F7. In vitro immunoprecipitation and kinase assays were further performed to confirm that E2F7 regulates GSK3β autophosphorylation and β‑catenin phosphorylation. RESULTS: Bioinformatic analyses revealed that E2F7 was significantly upregulated in LUAD tissues, and elevated E2F7 expression correlated with poor patient prognosis. Functional assays demonstrated that E2F7 promoted LUAD cell self‑renewal and EMT. Mechanistically, cytoplasmic E2F7 directly associated with β‑catenin through its DNA‑binding domain (DBD) and PHA03247 domain. E2F7 modulated β‑catenin phosphorylation at Ser675 and Ser33/37/T41, thereby inhibiting ubiquitin‑mediated degradation and enhancing β‑catenin protein stability. Furthermore, E2F7 interacted with GSK3β and suppressed its autophosphorylation at Tyr216, concomitant with reduced β-catenin phosphorylation at Ser33/37/T41 and its accumulation. CONCLUSION: Collectively, these findings indicate that E2F7 drives LUAD malignant progression through regulation of the GSK3β/β‑catenin signaling axis and stabilization of β‑catenin. This study unveils a novel oncogenic mechanism of E2F7 in LUAD and identifies E2F7 as a promising therapeutic target for clinical intervention in LUAD.

E2F7↗
PubMed2026

Improvement the accuracy and reproducibility of telomere length measurement utilizing qPCR.

Telomere length serves as a well-established molecular biomarker for evaluating aging and age-associated diseases. Among various methods, quantitative PCR for telomere length detection is convenient, rapid, cost-effective, and capable of high-throughput analysis in large epidemiological cohorts. However, numerous studies have indicated that issues related to differences in DNA quality caused by DNA extraction process significantly affect the accuracy and reproducibility of qPCR-based telomere length quantification. Initially, we established a model of DNA integrity variation, by utilizing nucleic acid endonucleases of serial activity units to cleave genomic DNA, generating DNA with varying degrees of degradation. The integrity of DNA templates decreases, the reduction of long fragments and the increase of short fragments in the mixed telomere products are the causes of the disruption in Ct values. Moreover, compared with longer reference gene amplicons, the short-segment internal gene reference can reduce the impact of genomic integrity on its amplification. Subsequently, we utilized additional gel excision purification to reduce degradation products. It was found that gel excision processing provides the best stability for telomere length detection with the lowest coefficient of variation. Additionally, the introduce of another calibrator sample, which is used for to adjust the T/S value of the test sample, narrows the deviation between qPCR-derived telomere length and gold-standard Terminal Restriction Fragment (TRF) measurements. Collectively, these results reveal that gel excision purification supports stable telomere detection. Calculating the correction coefficient incorporating the short internal reference and calibrator minimizes measurement deviations relative to sample TRF values.

Telomere↗
PubMed2026

Metabolic engineering of Candida yeasts for biotechnological applications.

Candida yeasts represent a versatile yet underexploited platform for industrial biotechnology. These yeasts utilize a remarkably broad range of carbon sources, particularly for hydrophobic carbon sources, coupled with robust growth and diverse biosynthetic capacities, making them promising hosts for sustainable production of chemicals, fuels, and proteins. Despite these advantages, industrial deployment of Candida species has been hindered by concerns regarding opportunistic pathogenicity and the historical lack of efficient genetic manipulation tools, leading to a substantial gap between metabolic potential and practical utilization. Recent advances in functional genomics, genome editing, and systems metabolic engineering are rapidly overcoming these barriers, enabling more precise and efficient strain development. In this review, we systematically summarize recent progress in the metabolic engineering of Candida species as microbial cell factories, with particular emphasis on expanding genetic toolkits, utilizting renewable and non-conventional carbon sources, and biosynthesizing high-value compounds. In addition, we propose a biosafety-oriented classification framework to support their safe industrial deployment. Finally, we discuss current challenges and emerging opportunities, emphasizing that the synergy of synthetic biology and artificial intelligence-driven design holds the key to unlocking the biotechnological potential of Candida yeasts.

Candida↗
PubMed2025

Plasma Proteomic Profiles Predict Individual Future Osteoarthritis Risk.

OBJECTIVE: Osteoarthritis (OA) is a widespread degenerative joint disease that causes a considerable socioeconomic burden. Despite progress in genetic and environmental insights, early diagnosis is still limited by the lack of evident symptoms during the initial phases and accurate biomarkers. This study aims to identify plasma proteins associated with future risk of OA and develop a predictive model. METHODS: We conducted a large-scale proteomic analysis of 45,307 participants from the UK Biobank, excluding those with baseline OA. Plasma samples were assayed using the Olink Explore Proximity Extension Assay targeting 1,463 unique proteins. Clinical variables and OA outcomes were extracted and linked to electronic health records. A predictive model was constructed using the LightGBM machine learning method, and SHapley Additive exPlanations (SHAP) were applied to evaluate the importance of variables. RESULTS: We identified a panel of proteins significantly associated with the risk of developing OA. Notably, after adjusting for multiple confounders, collagen type IX alpha 1 chain (COL9A1) and cartilage acidic protein 1 (CRTAC1) were the most significant predictors of incident OA, with hazard ratios of 1.54 (95% confidence interval [CI] 1.48-1.61) and 1.65 (95% CI 1.54-1.78), respectively. SHAP analysis allowed a profound interpretation of the contribution of each protein and clinical variable to the model, revealing the multifactorial nature of OA risk prediction. The temporal trajectories of plasma proteins indicated that the levels of COL9A1 and CRTAC1 began to deviate from normal for more than a decade before OA onset, suggesting their potential use in early detection strategies. The predictive model, developed using the LightGBM algorithm, integrated proteins with clinical covariates and demonstrated an area under the curve (AUC) of 0.729 for 5-year OA prediction, 0.721 for 10-year prediction, and 0.723 for all incident OA. The predictive accuracy of the model was further enhanced for hip and knee OA, achieving AUCs of 0.820 and 0.803 for 5-year predictions. CONCLUSION: Our study identified the role of plasma proteomics in predicting future OA risk, which could contribute to preemptive measures. The innovative model, which integrates proteomic biomarkers with clinical data, offers a potential tool for risk assessment, potentially optimizing OA management strategies and enhancing prevention efforts.

Humans↗
PubMed2025

Marek's disease virus-1 unique gene LORF1 is involved in viral replication and MDV-1/Md5-induced atrophy of the bursa of Fabricius.

Marek's disease virus (MDV), an alphaherpesvirus, causes severe immunosuppression and T cell lymphomas in chickens, known as Marek's disease (MD), an economically important poultry disease primarily controlled by vaccination. Importantly, it also serves as a comparative model for studying herpesvirus-induced tumor formation in humans. MDV encodes more than 100 genes, most of which have unknown functions. MDV LORF1 is unique to serotype I MDV (MDV-1), lacking homologs in other herpesviruses, and has not been explored yet. To this end, an infectious bacterial artificial chromosome (BAC) harboring the complete genome of the MDV-1 very virulent strain Md5 was generated, and the rescued rMd5 maintained biological properties similar to the parental virus both in vitro and in vivo. Subsequently, rMd5ΔLORF1, a recombinant Md5 virus deficient in pLORF1 expression, was generated by a frameshift mutation in the LORF1 gene. Chickens infected with rMd5ΔLORF1 exhibited a lower mortality rate and delayed bursal atrophy than those infected with the parental rMd5 and the revertant virus (rMd5-reLORF1). Consistently, viral loads of rMd5ΔLORF1 were obviously lower than those of rMd5 or rMd5-reLORF1 in the bursa, but not in the spleen. Importantly, we found that pLORF1 deficiency impairs viral replication in bursal B cells. Furthermore, we showed that pLORF1 associated with the cellular membrane, interacted with MDV structural proteins, and exhibited punctate colocalization with tegument or capsid proteins in the cytoplasm. Taken together, this study demonstrates for the first time that the MDV-1 unique gene LORF1 is involved in MDV-induced bursal atrophy but not in tumor formation.

Animals↗