Looking at the TMEs from the Spatial Transcriptomics
Perspective. What can we see?

Laura Camargo Agón; Juan Luis Figueroa; Oscar E González

Research Article

Looking at the TMEs from the Spatial Transcriptomics Perspective. What can we see?

Karla Paniagua¹, Yufang Jin¹ and Mario Flores^1,2*

¹Department of Electrical and Computer Engineering, University of Texas at San Antonio, USA

²Department of Biomedical Engineering, University of Texas at San Antonio, USA

Corresponding Author

Received Date: January 31, 2023; Published Date: February 21, 2023

Abstract

Recent advances in spatial transcriptomics technologies allow us to computationally visualize the tumor microenvironments (TMEs) with a never seen before resolution. These new platforms together with the use of artificial intelligence algorithms can pave the way for reformulation of questions we never even knew could be ask. In order to obtain some perspective of the use of these technologies, we reprocessed a public dataset of high-resolution spatial transcriptomics of non-small cell lung cancer (NSCLC) and perform computational visualization of the TMEs. Our results show two directions of research questions that can be ask using these promising technologies.

Keywords: Spatial; Transcriptomics; Tumor; Microenvironment; Computational; Visualization

Abbreviations: TMEs: Tumor microenvironments; DL: Deep Learning; spRNAseq: high-resolution single-cell spatially resolved transcriptomics; SMI: Spatial Molecular Imager; FFPE: formalin-fixed paraffin-embedded; FF: fresh frozen; DGE: Differential Gene Expression analysis

Article Details

Citation

Karla Paniagua, Yufang Jin and Mario Flores*. Looking at the TMEs from the Spatial Transcriptomics Perspective. What can we see?. Adv Can Res & Clinical Imag. 3(5): 2023. ACRCI.MS.ID.000572. DOI: 10.33552/ACRCI.2023.02.000572.