PMID- 36161408 OWN - NLM STAT- MEDLINE VI - 2572 TI - Visualizing the Interactions Shaping the Imaging of the Microenvironment in Human Cancers. PG - 67-79 CI - © 2023. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature. LA - eng PT - Journal Article PL - United States TA - Methods Mol Biol JT - Methods in molecular biology (Clifton, N.J.) JID - 9214969 IS - 1940-6029 (Electronic) LID - 10.1007/978-1-0716-2703-7_5 [doi] FAU - Solimando, Antonio G AU - Solimando AG AD - Department of Biomedical Sciences and Human Oncology (DIMO), Unit of Internal Medicine and Clinical Oncology, University of Bari Aldo Moro Medical School, Bari, Italy. antonio.solimando@uniba.it. FAU - Desantis, Vanessa AU - Desantis V AD - Department of Biomedical Sciences and Human Oncology (DIMO), Pharmacology Section, Medical School, University of Bari Aldo Moro, Bari, Italy. FAU - Da Vià, Matteo Claudio AU - Da Vià MC AD - Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy. AD - Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy. IS - 1064-3745 (Linking) RN - 0 (RNA, Messenger) SB - IM MH - Animals MH - *Gene Expression Profiling/methods MH - High-Throughput Nucleotide Sequencing/methods MH - Humans MH - Mice MH - *Neoplasms/genetics MH - RNA, Messenger MH - Transcriptome MH - Tumor Microenvironment OTO - NOTNLM OT - Cancer microenvironment OT - Clonal heterogeneity OT - Multiple myeloma OT - Tumor dissemination DCOM- 20220928 LR - 20221004 DP - 2023 AB - The Visium Spatial Gene Expression Solution (Visium 10×) allows for the mRNA analysis using high throughput sequencing and maps a transcriptional expression pattern in tissue sections using high-resolution microscope imaging in ex-vivo human and mice samples. The workflow surveys spatial global gene expression in tissue sections, exploiting the whole transcriptome profiling and defining the set of transcripts via targeted gene panels. An automated cell type annotation allows a comparison with control tissue samples. This technique delineates cancerous or diseased tissue boundaries and details gene expression gradients in the tissue surrounding the tumor or pathologic nests. Remarkably, the Visium 10× allows for whole transcriptome and targeted analysis without the loss of spatial information. This approach provides gene expression data within the context of tissue architecture, tissue microenvironments, and cell groups. It can be used in association with therapy, anti-angiogenic therapy, and immunotherapy to improve treatment response.