Use of High-plex Data Provides Novel Insights into the Temporal Artery Processes of Giant Cell Arteritis
收藏NIAID Data Ecosystem2026-05-01 收录
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https://www.ncbi.nlm.nih.gov/sra/SRP449601
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To identify the key coding genes underlying the biomarkers and pathways associated with giant cell arteritis (GCA), we performed in situ spatial profiling of molecules involved in the temporal arteries of GCA patients and controls Overall design: Using human formalin-fixed paraffin-embedded temporal artery biopsy samples (GCA, n = 9; controls, n = 7), we performed whole transcriptome analysis using NanoString GeoMx Digital Spatial Profiler
创建时间：
2023-09-28
