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        <datestamp>2026-09-14T12:48:33Z</datestamp>
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          <dc:title>&lt;b&gt;An Integrated Bioinformatics-Experimental Framework Reveals the Mitochondrial-Ferroptosis Axis in Sarcopenia Pathogenesis&lt;/b&gt;</dc:title>
          <dc:creator>Aisha Jiang wumaer (24880972)</dc:creator>
          <dc:subject>Genomics and transcriptomics</dc:subject>
          <dc:subject>Sarcopenia</dc:subject>
          <dc:subject>Ferroptosis</dc:subject>
          <dc:subject>Mitochondria</dc:subject>
          <dc:subject>Biomarkers</dc:subject>
          <dc:subject>Machine learning</dc:subject>
          <dc:subject>Single-cell analysis</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;Bulk transcriptomic profiles were combined with single-cell RNA sequencing data. Differentially expressed genes were overlapped with MitoCarta3.0 mitochondrial-related genes and ferroptosis-related genes. Random forest, support vector machine, and LASSO models were applied for feature selection and cross-dataset validation. Functional enrichment, immune infiltration, regulatory network construction, and single-cell trajectory analyses were conducted. C2C12 myoblast assays were used to validate mitochondrial injury associated with ferroptosis.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-14T12:48:33Z</dc:date>
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