Inferring histology-associated gene expression gradients in spatial transcriptomic studies

• Published in: Nature communications Vol. 15; no. 1; pp. 7280 - 19
• Main Authors: Kueckelhaus, Jan, Frerich, Simon, Kada-Benotmane, Jasim, Koupourtidou, Christina, Ninkovic, Jovica, Dichgans, Martin, Beck, Juergen, Schnell, Oliver, Heiland, Dieter Henrik
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 23.08.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 49; 631/114/2397; 631/114/2415; 631/114/794; Algorithms; Animals; Brain Neoplasms - genetics; Brain Neoplasms - metabolism; Brain Neoplasms - pathology; Brain tumors; Gene expression; Gene Expression Profiling - methods; Histology; Humanities and Social Sciences; Humans; Injury analysis; Injury prevention; Mice; multidisciplinary; Ribonucleic acid; RNA; Science; Science (multidisciplinary); Screening; Single-Cell Analysis - methods; Spatial data; Transcriptome; Transcriptomes; Transcriptomics

Spatially resolved transcriptomics has revolutionized RNA studies by aligning RNA abundance with tissue structure, enabling direct comparisons between histology and gene expression. Traditional approaches to identifying signature genes often involve preliminary data grouping, which can overlook subt...