Login / Signup

ST-GEARS: Advancing 3D downstream research through accurate spatial information recovery.

Tianyi XiaLuni HuLulu ZuoLei CaoYunjia ZhangMengyang XuQin LuLei ZhangTaotao PanBohan ZhangBowen MaChuan ChenJunfu GuoChang ShiMei LiChao LiuYuxiang LiYong ZhangShuangsang Fang
Published in: Nature communications (2024)
Three-dimensional Spatial Transcriptomics has revolutionized our understanding of tissue regionalization, organogenesis, and development. However, existing approaches overlook either spatial information or experiment-induced distortions, leading to significant discrepancies between reconstruction results and in vivo cell locations, causing unreliable downstream analysis. To address these challenges, we propose ST-GEARS (Spatial Transcriptomics GEospatial profile recovery system through AnchoRS). By employing innovative Distributive Constraints into the Optimization scheme, ST-GEARS retrieves anchors with exceeding precision that connect closest spots across sections in vivo. Guided by the anchors, it first rigidly aligns sections, next solves and denoises Elastic Fields to counteract distortions. Through mathematically proved Bi-sectional Fields Application, it eventually recovers the original spatial profile. Studying ST-GEARS across number of sections, sectional distances and sequencing platforms, we observed its outstanding performance on tissue, cell, and gene levels. ST-GEARS provides precise and well-explainable 'gears' between in vivo situations and in vitro analysis, powerfully fueling potential of biological discoveries.
Keyphrases
  • single cell
  • high resolution
  • health information
  • healthcare
  • risk assessment
  • genome wide
  • mesenchymal stem cells
  • dna methylation
  • human health
  • mass spectrometry