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A (CA)n repeat polymorphism for the human skeletal muscle alpha-actinin gene ACTN2 and its localization on the linkage map of chromosome 1.

A CA dinucleotide repeat polymorphism has been identified for the skeletal muscle alpha-actinin gene ACTN2. The observed heterozygosity is 44% (predicted heterozygosity 50%, PIC 0.47). This polymorphic marker has been localized between D1S74 and D1S103 on the multipoint linkage map of chromosome 1 at a position 44.4 cM from the most distal marker D1S68 at 1 qter.

Actinin

Cloning and characterization of two human skeletal muscle alpha-actinin genes located on chromosomes 1 and 11.

Conserved sequences of dystrophin, beta-spectrin, and alpha-actinin were used to plan a set of degenerate oligonucleotide primers with which we amplified a portion of a human alpha-actinin gene transcript. Using this short clone as a probe, we isolated and characterized full-length cDNA clones for two human alpha-actinin genes (ACTN2 and ACTN3). These genes encode proteins that are structurally similar to known alpha-actinins with approximately 80% amino acid identity to each other and to the previously characterized human nonmuscle gene. ACTN2 is the human homolog of a previously characterized chicken gene while ACTN3 represents a novel gene product. Northern blot analysis demonstrated that ACTN2 is expressed in both skeletal and cardiac muscle, but ACTN3 expression is limited to skeletal muscle. As with other muscle-specific isoforms, the EF-hand domains in ACTN2 and ACTN3 are predicted to be incapable of binding calcium, suggesting that actin binding is not calcium sensitive. ACTN2 was mapped to human chromosome 1q42-q43 and ACTN3 to 11q13-q14 by somatic cell hybrid panels and fluorescent in situ hybridization. These results demonstrate that some of the isoform diversity of alpha-actinins is the result of transcription from different genetic loci.

Actinin

Integrative Multi-Omics Analysis Identifies Thrombosis-Associated Molecular Features Linked to Germline Susceptibility and Immune Cell Communication in Gastric Cancer.

Emerging evidence indicates that coagulation-related molecular programs are associated with thrombosis, tumor progression, and molecular dysregulation in gastric cancer (GC). However, thrombosis-associated molecular features in GC and their potential links to inherited susceptibility remain insufficiently understood. Integrated analyses of transcriptomic data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets were performed to identify thrombosis-associated genes and establish a machine learning-based prognostic signature. Genome-wide association study (GWAS), expression quantitative trait loci (eQTL), transcriptome-wide association study (TWAS), and Mendelian randomization (MR) analyses were conducted to investigate susceptibility-associated transcriptional programs in GC. Functional assays were used to evaluate candidate genes associated with malignant phenotypes. Single-cell RNA sequencing (scRNA-seq) and cell-cell communication analyses were further performed to characterize cell-type-specific expression patterns and potential intercellular interactions. A total of 22 differentially expressed thrombosis-associated genes were identified, and a prognostic signature comprising 14 genes was established. The signature stratified patients into high- and low-risk groups and showed prognostic performance in both the training and validation cohorts. Integrative GWAS, eQTL, and TWAS analyses identified susceptibility-associated transcriptional programs that were positively correlated with the thrombosis-associated risk score. Silencing ACTN2 and CRYAB significantly reduced GC cell migration and invasion. scRNA-seq analysis revealed relatively high CRYAB expression in neutrophils, and CellChat analysis suggested potential neutrophil-B cell interactions involving COLLAGEN-related signaling. This integrative multi-omics study identified a thrombosis-associated molecular signature linked to prognosis and germline susceptibility-associated transcriptional programs in GC. ACTN2 and CRYAB may represent candidate genes associated with GC cell migration and invasion, while single-cell analysis suggested potential immune-related communication features.

Humans