Informing Biologically Relevant Signal from Spatial Transcriptomic Data

Emir Radkevich, Darwin D’Souza,Raphael Mattiuz, Raphael Merand, Rachel Chen, Jarod Morgenroth-Rebin, Krista Angeliadis, Daniella Nelson, Anis Kara,Travis Dawson, Igor De Souza,Kai Nie,Pauline Hamon,Samarth Hegde, Jesse Boumelha,Rachel Brody, Sinem Ozbey,Clotilde Hennequin, Di Feng, Jie Dai,Edgar Gonzalez-Kozlova, Zhihong Chen,Seunghee Kim-Schulze,Sacha Gnjatic,Miriam Merad,Vladimir Roudko

biorxiv(2024)

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摘要
Visium is a spatial sequencing technology that utilizes messenger RNA (mRNA) to spatially map gene expression within tissues. Despite its potential, research utilizing deconvolution tools and exploring microenvironment dynamics remains challenging. We address this gap by benchmarking deconvolution tools across diverse biological contexts, identifying optimal methodologies. Subsequently, we introduce a novel pipeline integrating advanced deconvolution techniques and novel tools for reproducible tissue microenvironment analysis. Through this approach, we uncover intricate immune aggregate biology, highlighting the power of our methodology in unraveling complex biological phenomena. ### Competing Interest Statement The authors have declared no competing interest.
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