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Multi-omics Profiling Reveals PIK3CA -Driven Immunometabolic Reprogramming

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NIAID Data Ecosystem2026-05-10 收录
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https://www.ncbi.nlm.nih.gov/sra/SRP674462
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We introduced the PIK3CA-E545K mutation into cervical cancer U14 cells via CRISPR/Cas9 to generate an isogenic model. RNA sequencing approach was employed, followed by integrated bioinformatics and correlation network analysis. Functional validation was performed through Western blot, colony formation, CCK-8 proliferation, wound healing assays, and a subcutaneous mouse model.
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2026-03-06
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