Characterization of the complete chloroplast genome of Dalbergia odorifera

Dalbergia odorifera belongs to the family Fabaceae the genus Dalbergia that has high economic and medicinal value in China. The complete chloroplast genome of D. odorifera was 156,062 bp in length that had circular structure. It has the typical quadripartite structure of angiosperms, which includes 85,805 bp large single-copy region (LSC), 18,855 bp small single-copy region (SSC) of and a pair of 25,701 bp inverted repeat (IR) regions. The overall nucleotide composition of chloroplast genome sequence is 31.9% A, 32.0% T, 17.9% C, 18.2% G, and the total GC content of 36.1%. The chloroplast genome of D. odorifera annotated 129 genes, including 84 protein-coding genes, 37 transfer RNA genes, and eight ribosomal RNA genes. The phylogenetic analysis revealed that D. odorifera was close relationship to Dalbergia hainanensis in the family Fabaceae the genus Dalbergia using the maximum-likelihood (ML) method in this study

Establishment of Ferroptosis-Associated Molecular Subtypes and Hub Genes Related to the Immune Microenvironment of Heart Failure

Background: Ferroptosis is a form of iron-dependent regulated cell death, and prior work has highlighted the potential utility of ferroptosis-inducing agents as tools to treat heart failure (HF). To date, however, no detailed examinations of the prognostic utility of ferroptosis-related genes (FRGs) in HF have been conducted. Methods: We used established genomic identification of FRGs for total samples in the gene expression omnibus (GEO) database, screened for differentially expressed FRGs, performed protein-protein interaction analysis and functional analysis of HF immune microenvironment subtypes. Subsequently, we applied tools to calculate immune cell infiltration, compare immune cell, immune response genomic and HLA gene differences between subtypes, and perform candidate drug identification. Finally, preliminary in vivo validation of the screened central genes was performed in animal models. Results: FRGs were compared between samples from HF and healthy control donors, revealing 62 of these genes to be differentially expressed as a function of HF status. HF patient-derived tissues exhibited significant changes in the expression of HLA genes, increase immune cell infiltration, and higher levels of other immune-related genes within the associated immune microenvironment. These FRGs were then leveraged to establish two different immune-related subtypes of HF based on clustering analysis results, after which these subtypes were characterized in further detail. Functional enrichment analyses revealed the identified differentially expressed genes to be enriched in key immune-related pathways including the primary immunodeficiency, natural killer cell-mediated cytotoxicity, FcϵRI signaling, and antigen processing and presentation pathways. The impact of the immune microenvironment was also explored through functional analyses, core gene analyses, and efforts to identify potential drug candidates for HF patients. Moreover, four key hub genes were identified as promising targets for therapeutic intervention in HF, including HDAC1, LNPEP, PSMA1, and PSMA6. Subsequent preclinical work in a mouse model system supported a potential role for HDAC1 as an important biomarker associated with the incidence of HF. Conclusions: To sum up, these results emphasize the importance of ferroptosis as a regulator of the HF-related immune microenvironment, highlighting viable avenues for the further study of molecular targets amenable to pharmacological intervention with the aim of treating this debilitating disease

Cuproptosis-related signature predicts prognosis, immunotherapy efficacy, and chemotherapy sensitivity in lung adenocarcinoma

BackgroundCuproptosis is a novel form of programmed cell death that disrupts the tricarboxylic acid (TCA) cycle and mitochondrial function. The mechanism of cuproptosis is quite different from that of common forms of cell death such as apoptosis, pyroptosis, necroptosis, and ferroptosis. However, the potential connection between cuproptosis and tumor immunity, especially in lung adenocarcinoma (LUAD), is poorly understood.MethodsWe used machine learning algorithms to develop a cuproptosis-related scoring system. The immunological features of the scoring system were investigated by exploring its association with clinical outcomes, immune checkpoint expression, and prospective immunotherapy response in LUAD patients. The system predicted the sensitivity to chemotherapeutic agents. Unsupervised consensus clustering was performed to precisely identify the different cuproptosis-based molecular subtypes and to explore the underlying tumor immunity.ResultsWe determined the aberrant expression and prognostic relevance of cuproptosis-related genes (CRGs) in LUAD. There were significant differences in survival, biological function, and immune infiltration among the cuproptosis subtypes. In addition, the constructed cuproptosis scoring system could predict clinical outcomes, tumor microenvironment, and efficacy of targeted drugs and immunotherapy in patients with LUAD. After validating with large-scale data, we propose that combining the cuproptosis score and immune checkpoint blockade (ICB) therapy can significantly enhance the efficacy of immunotherapy and guide targeted drug application in patients with LUAD.ConclusionThe Cuproptosis score is a promising biomarker with high accuracy and specificity for determining LUAD prognosis, molecular subtypes, immune cell infiltration, and treatment options for immunotherapy and targeted therapies for patients with LUAD. It provides novel insights to guide personalized treatment strategies for patients with LUAD