Genes & genomics最新文献

Background: TCP proteins are plant-specific transcription factors that play essential roles in various developmental processes, including leaf morphogenesis and senescence, flowering, lateral branching, hormone crosstalk, and stress responses. However, a comprehensive analysis of genome-wide TCP genes and their expression patterns in melon is yet to be done.

Objective: The present study aims to identify and analyze the TCP genes in the melon genome and understand their putative functions.

Methods: The chromosomal location, gene structure, conserved motifs, protein domains, structural homology, cis-regulating elements, transcript expression patterns, and potential protein-protein interactions were analyzed using various databases and webtools.

Results: A total of 29 putative TCP genes are identified in melon. These genes were classified into two classes: Class-I (13 genes) and Class-II (16 genes). The results revealed that the putative CmTCP genes are distributed across nine of the twelve melon chromosomes and exhibit diverse expression patterns in different tissues which mostly indicates their potential role in floral organ development, lateral branching, growth and development. Phylogenetic analysis suggests that some CmTCP genes may have similar functions to their homologs in other plant species, while others may have undergone functional diversification.

Conclusion: This study paves the way for future investigations into the specific roles of individual CmTCP genes in melon and for elucidating the mechanisms by which TCP proteins regulate leaf elongation, floral development, and lateral branching.

Background: Epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) are standard treatments for non-small cell lung cancer (NSCLC) patients with EGFR mutations; however, drug resistance limits their efficacy. Cytoskeleton-associated protein 4 (CKAP4) has been linked to cancer progression, but its role in EGFR-TKI resistance remains unclear.

Objective: This study investigates the clinical relevance of CKAP4 as a therapeutic target to overcome EGFR-TKI resistance in lung adenocarcinoma (LUAD) patients.

Methods: GEO datasets were analyzed to identify 24 differentially expressed genes associated with EGFR-TKI resistance, with CKAP4 selected via functional annotation and scoring using the VarElect tool. The prognostic significance of CKAP4 was evaluated using public databases, and its upregulation was confirmed in osimertinib-tolerant H1975 cells through quantitative reverse transcription-polymerase chain reaction.

Results: Integrated bioinformatics analysis identified CKAP4 as strongly associated with EGFR-TKI resistance. Elevated CKAP4 expression was particularly linked to poorer clinical outcomes in LUAD patients. Notably, osimertinib-tolerant cells exhibited high CKAP4 expression, correlating positively with increased half-maximal inhibitory concentrations of EGFR-TKIs. LUAD patients with upregulated CKAP4 showed significantly reduced overall and relapse-free survival.

Conclusion: This study underscores the prognostic value of CKAP4 in EGFR-mutated LUAD and highlights its potential as a therapeutic target to counter EGFR-TKI resistance.

Background: Soil salinity has been a serious threat to agricultural production worldwide, including soybeans. Glycine soja, the wild ancestor of cultivated soybeans, harbors high genetic diversity and possesses attractive rare alleles.

Objective: We conducted a transcriptome analysis of G. soja subjected to salt stress to profile the transcriptomes and identify salt-responsive genes.

Methods: G. soja was subjected to salt stress at 0, 24, and 48 h. RNA was sequenced using the Illumina NovaSeq 6000 platform. Transcriptome sequencing was used to identify differentially expressed genes (DEGs) and differential alternative splicing genes (DASGs) and to analyze alterations in salt-responsive genes.

Results: A total of 249 and 1890 DEGs were identified at 24 and 48 h under salt stress, respectively. Among the DEGs, 45 and 252 transcription factors, including bHLH, MYB, and WRKY, were identified at 24 and 48 h, respectively. Additionally, 602 and 1850 DASGs were identified at 24 and 48 h, respectively. For DASGs, significant GO term enrichments included 'mRNA processing', 'Chromatin organization', 'Nucleus', and 'Transcription cofactor activity' at 48 h. The KEGG pathways, 'Spliceosome' and the 'mRNA surveillance pathway', were significantly enriched in DASGs at 48 h. Salt-responsive genes were identified in DEGs and/or DASGs, specifically GsJ3, GsACA12, GsACA13, GsHSFA2-like, and GsHSF30-like.

Conclusion: Through the analysis of DEGs, DASGs, and transcription factor predictions, we identified key factors involved in the salt stress response and tolerance of G. soja, which could contribute to salt-tolerant soybean cultivar through genetic engineering strategies.

Background: Vegetable oils are primarily composed of unsaturated fatty acids. Soybean [Glycine max (L.) Merr.] oil, accounting for 28% of the global production of vegetable oil, contains mainly two saturated fatty acids (palmitic acid and stearic acid) and three unsaturated fatty acids (oleic acid, linoleic acid, and linolenic acid) in seeds.

Objective: The five fatty acids determine soybean oil quality. We aimed to identify genetic relationship between genomics and fatty acid contents in soybean mutant pool.

Methods: This study used a mutant diversity pool (MDP) comprising 192 soybean lines. A genome-wide association study (GWAS) was conducted with the diverse fatty acid contents in MDP and 17,631 filtered SNPs from genotyping-by-sequencing (GBS).

Results: The GWAS revealed nine significant SNPs within intragenic regions that were associated with fatty acid composition. These SNPs corresponded to six genes (Glyma.03g042500, Glyma.07g069200, Glyma.13g150200, Glyma.14g223100, Glyma.15g084700, and Glyma.15g274000), of which three (Glyma.03g042500, Glyma.13g150200, and Glyma.15g274000) were predicted to be candidate genes influencing oleic acid, linoleic acid, and linolenic acid contents. Analyses of SNP allelic effects revealed the largest and smallest significant differences in fatty acid contents were 5.53% (linolenic acid) and 0.4% (stearic acid), respectively.

Conclusion: The present study detected significant phenotypic variations and genetic associations underlying the fatty acid composition of soybean seeds in MDP lines. The mutant seeds differed from the original cultivars in terms of fatty acids composition, with the allelic effects of significant SNPs influencing the fatty acid content in seeds. These findings may be useful for enhancing breeding strategies to optimize soybean oil quality for various uses.

Background: Cyanobacteria, particularly Synechocystis sp. PCC 6803, serve as model organisms for studying acclimation strategies that enable adaptation to various environmental stresses. Understanding the molecular mechanisms underlying these adaptations provides insight into how cells adjust gene expression in response to challenging conditions.

Objective: To analyze the transcriptome data of Synechocystis sp. PCC 6803 under light, salinity, and iron stress conditions and to identify hub genes potentially involved in stress response, specifically comparing the findings with Geminocystis sp. NIES-3708.

Methods: A comprehensive bioinformatics approach was applied, integrating meta-analysis, weighted gene co-expression network analysis (WGCNA), and a Random Forest (RF) machine learning algorithm. These approaches underscore the robustness of our findings, allowing for a more nuanced understanding of gene interactions and their functional relevance in stress responses. This methodology was used to identify key hub genes in Synechocystis sp. PCC 6803 that may have conserved roles in Geminocystis sp. NIES-3708. A total of four potential hub genes, including slr1392, slr1484, sll1549, and sll1863, were identified. Among these, only sll1549 had a homolog (GM3708_2556) with 71% sequence similarity and 70% query coverage in Geminocystis sp. NIES-3708. The expression of GM3708_2556 was further evaluated under nitrate, salt, and combined salinity-nitrate stress conditions using RT-qPCR.

Results: Transcript levels of GM3708_2556 increased significantly under salt stress (3.35-fold, p-value < 0.05) and combined salinity-nitrate stress (2.24-fold, p-value < 0.05) compared to control conditions, while no significant change was observed under nitrate stress alone. These results suggest that GM3708_2556 may play a crucial role in the organism's response to salt stress, with potential interactions in nitrate metabolism.

Conclusion: This study highlights the gene GM3708_2556 as a significant factor in salt stress response, with implications for conserved functional roles across cyanobacterial species. Furthermore, the findings have potential relevance to biotechnology, particularly in engineering stress-resistant cyanobacterial strains for applications in sustainable agriculture and bioenergy production.

Background: Congenital anomalies of the knee are a spectrum of rare disorders with wide clinical and genetic variability, which are mainly due to the complex processes underlying knee development. Despite progresses in understanding pathomechanisms and associated genes, many patients remain undiagnosed.

Objective: To uncover the genetic bases of a congenital patellar dislocation affecting multiple family members with variable severity.

Methods: We performed ES in the proband and his father, both showing bilateral patellar dislocation, his sister with a milder similar condition, and his unaffected mother. Sanger sequencing was then performed in the proband's brother and paternal aunt, both affected as well.

Results: ES and Sanger sequencing identified the presence of the novel heterozygous frameshift mutation c.735delT in the TBX4 gene in all affected family members. TBX4 is associated with autosomal dominant ischio-coxo-podo-patellar syndrome with/without pulmonary arterial hypertension (ICPPS, #147891), reaching a diagnosis in the family. Intrafamilial clinical heterogeneity suggests that other factors might be involved, such as additional variants in TBX4 or in other modifier genes. Interestingly, we identified three additional variants in the TBX4 gene in the proband only, whose phenotype is more severe. Despite being classified as benign, one of these variants is predicted to disrupt a splicing protein binding site, and may therefore affect TBX4 alternative splicing, accounting for the more severe phenotype of the proband.

Conclusion: We expand and further delineate the genotypic and phenotypic spectrum of ICPPS. Further studies are necessary to shed light on the potential effect of this variant and on the variable phenotypic expressivity of TBX4-related phenotypes.

Background: Hearing loss adversely impacts language development, acquisition, and the social and cognitive maturation of affected children. The hearing loss etiology mainly includes genetic factors and environmental factors, of which the former account for about 50-60%.

Objective: This study aimed to investigate the genetic basis of autosomal recessive non-syndromic hearing loss (NSHL) by identifying and characterizing novel variants in the CDH23 gene. Furthermore, it seeks to determine the pathogenic potential of the noncanonical splice site variant c.2398-6G > A.

Methods: Comprehensive clinical evaluation and whole-exome sequencing (WES) were performed on the girl. The WES analysis revealed two novel variants in the CDH23 gene, associated with nonsyndromic deafness 12 (DFNB12). To further explore the pathogenicity of these variants, functional studies involving in vivo splicing analysis were performed on the novel noncanonical splice site variant, c.2398-6G > A, which was initially classified as a variant of uncertain significance (VUS).

Results: Whole-exome sequencing of the patient identified two compound heterozygous variants in CDH23: c.2398-6G > A, a noncanonical splice site variant, and c.6068C > A (p. Ser2023Ter), a nonsense mutation. In vitro splicing assays demonstrated that c.2398-6G > A caused aberrant splicing, leading to a frameshift (p. Val800Alafs*6) and the production of a truncated protein, as confirmed by structural protein analysis. The study revealed novel mutations as likely pathogenic, linking both variants to autosomal recessive NSHL.

Conclusions: Our analyses revealed novel compound heterozygous mutations in CDH23 associated with autosomal recessive NSHL, thereby expanding the mutational landscape of CDH23-related hearing loss and increasing knowledge about the CDH23 splice site variants.

Background: The mechanical remodeling of tumor microenvironment is critical for non-small cell lung cancer (NSCLC) progression. Dual-specificity phosphatase 23 (DUSP23) has been previously identified as a mechano-responsive gene, but its role in NSCLC progression remains unknown.

Objective: We aim to elucidate the clinical significance of DUSP23 in NSCLC progression.

Methods: We analyzed the expression of DUSP23 in cancer using polyacrylamide hydrogels designed to mimic the stiffness of normal (soft; ~0.5 kPa) and cancerous (stiff; ~40 kPa) tissues. The prognostic significance of DUSP23 expression in patients was examined using public databases. Additionally, we conducted various cell-based assays and transcriptomic analyses in DUSP23-silenced NSCLC cell lines. A risk score prognosis model was constructed using univariate Cox regression and Kaplan-Meier analysis.

Results: Our findings show that DUSP23 is upregulated in stiff matrices and is highly associated with poor prognosis in patients with solid cancers such as NSCLC and breast cancer. Silencing of DUSP23 resulted in decreased cell proliferation and invasion. Transcriptomic profiling revealed that 182 genes were downregulated, and 230 genes upregulated following DUSP23-depletion. Notably, 182 downregulated genes were enriched in cancer-related pathways, including cell cycle progression and cytoskeleton organization. Through KEGG pathway analysis, we identified 11 cancer-related genes and developed a prognostic risk model. In this model, the high-risk group of NSCLC patients exhibited significantly shorter overall survival compared to low-risk group, based on public datasets.

Conclusion: Our study demonstrates the clinical significance of DUSP23 as a prognostic marker in NSCLC and highlights its potential role of DUSP23 in promoting NSCLC progression.

Background: CTHRC1 overexpresses in prostate cancer and is associated with the proliferation, invasion and migration of prostate cancer cells. However, the roles and mechanisms of CTHRC1 expression in prostate cancer prognosis and treatment outcomes remain unknown.

Objective: This study aimed to explore the expression and gene function of CTHRC1 in prostate cancer, investigate the prognostic value and potential effect in the treatment of prostate cancer.

Methods: Bulk and single-cell RNA sequencing analyses were used to evaluate the expression of CTHRC1 in prostate cancer. All data used in the study were obtained from publicly available sources to ensure transparency. Study enrolled 1999 cases of prostate cancer and 531 normal controls. Single-cell RNA sequencing profile included 62,995 cells from seven prostate primary tumors. CTHRC1 expression and prognosis analyses were conducted with these samples and verified by immunohistochemical staining. CIBERSORT algorithm was used to assess the tumor immune infiltrating cells based on bulk mRNA sequencing profiles. Genomics of drug sensitivity in cancer (GDSC) database was used to predict IC50 to anti-androgen therapy (ADT) drugs of the samples.

Results: CTHRC1 expressed in prostate cancer was higher than that in normal prostate tissue, and the expression increased with the progress of prostate cancer. CTHRC1 was the risk factor of progression-free interval (PFI). CTHRC1 was positively correlated with the infiltration of tumor-associated macrophages (TAMs). Myofibroblast-like cancer-associated fibroblasts (myCAFs) were the major CTHRC1 expressers in prostate cancer. TGF-β signaling activated in CTHRC1-positive myCAFs and was involved in TAMs polarization. Biological functions of myCAFs were enriched in hormone response and metabolism. CTHRC1 may regulate androgen receptor signaling through CCN2/CAV1/AR pathway. Moreover, ADT drug Bicalutamide and AZD3514 were less sensitive in the high CTHRC1 expression tumors.

Conclusions: As a potential molecular target of ADT resistance in prostate cancer, CTHRC1 provides a new promising molecular approach for the diagnosis and treatment of prostate cancer.

Background: Lung adenocarcinoma remains a leading cause of cancer-related mortality worldwide, characterized by high genetic and cellular heterogeneity, especially within the tumor microenvironment.

Objective: This study integrates single-cell RNA sequencing (scRNA-seq) with genome-wide association studies (GWAS) using Bayesian deconvolution and machine learning techniques to unravel the genetic and functional complexity of lung adenocarcinoma epithelial cells.

Methods: We performed scRNA-seq and GWAS analysis to identify critical cell populations affected by genetic variations. Bayesian deconvolution and machine learning techniques were applied to investigate tumor progression, prognosis, and immune-epithelial cell interactions, particularly focusing on immune checkpoint markers such as PD-L1 and CTLA-4.

Results: Our analysis highlights the importance of genes like SLC2A1, which regulates glucose metabolism and correlates with tumor invasiveness and poor prognosis. Immune-epithelial interactions suggest a suppressive tumor microenvironment, potentially hindering immune responses. Additionally, machine learning models identify core prognostic genes such as F12, GOLM1, and S100P, which are significantly associated with patient survival.

Conclusions: This comprehensive approach provides novel insights into lung adenocarcinoma biology, emphasizing the role of genetic and immune factors in tumor progression. The findings support the development of personalized therapeutic strategies targeting both tumor cells and the immune microenvironment.