Comprehensive analysis of PPP4C’s impact on prognosis, immune microenvironment, and immunotherapy response in lung adenocarcinoma using single-cell sequencing and multi-omics

Frontiers in Immunology, Год журнала: 2024, Номер 15

Опубликована: Июль 4, 2024

Background Elevated PPP4C expression has been associated with poor prognostic implications for patients suffering from lung adenocarcinoma (LUAD). The extent to which affects immune cell infiltration in LUAD, as well the importance of genes clinical scenarios, still requires thorough investigation. Methods In our investigation, we leveraged both single-cell and comprehensive RNA sequencing data, sourced LUAD patients, analysis. This study also integrated datasets immune-related InnateDB into framework. Our expansive evaluation employed various analytical techniques; these included pinpointing differentially expressed genes, constructing WGCNA, implementing Cox proportional hazards models. We utilized methods investigate gene profiles within context clarify its potential value patients. Subsequent steps involved validating observed enhancement samples through a series experimental approaches. array comprised immunohistochemistry staining, Western blotting, quantitative PCR, collection cell-based assays aimed at evaluating influence on proliferative migratory activities cells. Results cancer, elevated levels were observed, correlating poorer patient prognoses. Validation increased specimens was achieved using immunohistochemical techniques. Experimental investigations have substantiated role facilitating cellular proliferation migration contexts. Furthermore, an association identified between cells tumors. A framework, incorporating developed recognized autonomous predictor survival individuals afflicted LUAD. tool demonstrated considerable efficacy forecasting their response immunotherapeutic interventions. Conclusion involvement is deeply intertwined tumor’s microenvironment. PPP4C’s over-expression negative outcomes, promoting tumor spread. framework based may effectively predict prognoses immunotherapy strategy. research sheds light mechanisms interaction proposes new strategy treatment.

Язык: Английский

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Histological, physiological and transcriptomic analysis in hepatopancreas of Procambarus clarkii under heat stress

Ecotoxicology and Environmental Safety, Год журнала: 2024, Номер 289, С. 117459 - 117459

Опубликована: Дек. 7, 2024

Язык: Английский

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DNA methylation profile of lip tissue from congenital nonsyndromic cleft lip and palate patients by whole‐genome bisulfite sequencing

Birth Defects Research, Год журнала: 2022, Номер 115(2), С. 205 - 217

Опубликована: Окт. 9, 2022

Congenital nonsyndromic cleft lip and palate (NSCLP) is one of the most common malformations worldwide. DNA methylation has been implicated in many diseases. However, its involvement tissue from NSCLP not well understood. This study aimed to investigate role dysregulated NSCLP. profile was determined eight injured five self-normal samples children with by whole-genome bisulfite sequencing. A total 2,711 differentially methylated regions (DMRs), corresponding 1,231 genes were identified. Given important promoter regulating gene expression, DMR-related considered. Bioinformatics analysis demonstrated that some them showed potential associations Therefore, well-known susceptibility gene, GLI family zinc finger 2 (GLI2) an unknown NSCLP, selected for further analysis. The hypomethylation higher mRNA expression level GLI2 observed tissues verification additional samples. Moreover, dual luciferase reporter assay indicated hypermethylation inhibited transcription. Overall, this suggested abnormal may be correlated pathogenesis congenital

Язык: Английский

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Identification of key modules in metabolic syndrome induced by second-generation antipsychotics based on co-expression network analysis

Computational and Structural Biotechnology Journal, Год журнала: 2024, Номер 23, С. 723 - 731

Опубликована: Янв. 5, 2024

Second-generation antipsychotics (SGAs) frequently cause metabolic syndrome (MetS), which raises the risk of heart disease, type 2 diabetes, morbid obesity, atherosclerosis, and hypertension. MetS also impairs cognitive function in patients with schizophrenia. However, fundamental reasons caused by SGAs are not yet fully understood. Thus, we aimed to identify potential therapeutic targets for induced SGAs.

Язык: Английский

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Identification of PANoptosis genes in w based on bioinformatics analysis and machine learning

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Март 15, 2024

Abstract Background Diabetic nephropathy (DN) is a prominent etiological factor that contributes to the development of end-stage renal disease (ESRD). PANoptosis an inflammatory programmed cell death pathway, and its involvement in pathogenesis DN has been demonstrated. The objective this research was examine potential role key PANoptosis-related genes occurrence assess clinical utility these predicting DN. Methods This study employed bioinformatics analysis acquire dataset gene expression data for patients with from Gene Expression Omnibus (GEO) database. Furthermore, we identified functionally annotated differentially expressed (DEGs) performed immune infiltration analysis. Consensus clustering identify molecular subtypes associated PANoptosis. least absolute shrinkage selection operator (LASSO) technique utilized screen crucial genes, leading prediction model Additionally, nomogram constructed validate correlation between core Finally, Mendelian randomization (MR) conducted using genome-wide association studies ascertain causal impact ITM2C on Results A total eight (PROM1, MAFF, CLEC2B, CX3CR1, CXCL6, EVI2B, ITM2C, VIM) incidence were identified. Conclusions We successfully utilizing purpose novel holds as valuable instrument evaluating imperative need timely medical intervention mitigate onset

Язык: Английский

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