Article

SpaFlow depicts the dynamics of ligand-receptor interaction in spatial transcriptomics data

2026-04-21

Abstract excerpt

Spatial transcriptomics (ST) enables the study of cell-cell communication in native tissue context, but current methods for the ligand-receptor interaction (LRI) inference generally rely on static, distance-based assumptions. Here we present SpaFlow, a reaction-diffusion framework that models ligand diffusion, binding, dissociation, production and degradation to infer spatially resolved LRI activity and hotspots f...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 5e924ace-443e-5239-8a34-71c459aeebc7
DOI: 10.64898/2026.04.17.719264

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

SpaFlow depicts the dynamics of ligand-receptor interaction in spatial transcriptomics dataDOI 10.64898/2026.04.17.719264Read

Deciphering Cellular Ecosystems Driving Tumor Progression and Immune Escape from Spatial Transcriptomics and Single-Cell with COMPOTESSemantic proximity Read

Charting spatial ligand-target activity using RenoirSemantic proximity Read

Charting spatial ligand-target activity using RenoirSemantic proximity Read

PROFET Predicts Continuous Gene Expression Dynamics from scRNA-seq Data to Elucidate Heterogeneity of Cancer Treatment ResponsesSemantic proximity Read

Thor: a platform for cell-level investigation of spatial transcriptomics and histologySemantic proximity Read

LARIS enables accurate and efficient ligand and receptor interaction analysis in spatial transcriptomicsSemantic proximity Read

A Computational Pipeline for Physiologically Informed Calibration of Ligand Reaction-Diffusion Models Using High-Throughput SequencingSemantic proximity Read

Trajectory inference of epithelial-centered neighborhood profiles reconstructs a pseudo-temporal continuum in idiopathic pulmonary fibrosisSemantic proximity Read

STARComm Scalably Detects Emergent Modules of Spatial Cell-Cell Communication in Inflammation and CancerSemantic proximity Read

CancerSTFormer enables multi-scale analysis of spot-resolution spatial transcriptomes and dissects gene and immune regulatory responses to targeted therapiesSemantic proximity Read

LYNX: a deep generative model for linking spatial dynamics and cell interactions in multimodal spatial dataSemantic proximity Read

CellCharter reveals spatial cell niches associated with tissue remodeling and cell plasticitySemantic proximity Read