Year: 2024
Type: article
Abstract: The application of single-cell molecular profiling coupled with spatial technologies has enabled charting of cellular heterogeneity in reference tissues and in disease. This new wave of molecular data has highlighted the expected diversity of single-cell dynamics upon shared external queues and spatial organizations. However, little is known about the relationship between single-cell heterogeneity and the emergence and maintenance of robust multicellular processes in developed tissues and its role in (patho)physiology. Here, we present emerging computational modeling strategies that use increasingly available large-scale cross-condition single-cell and spatial datasets to study multicellular organization in tissues and complement cell taxonomies. This perspective should enable us to better understand how cells within tissues collectively process information and adapt synchronized responses in disease contexts and to bridge the gap between structural changes and functions in tissues.
Source: Physiology
Institutions: Heidelberg University, University Hospital Heidelberg
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Awards: Verbund CureFib - Identifikation und Analyse von Organ-übergreifenden Pathomechanismen fibrotischer Erkrankungen zur Entwicklung neuer Therapeutika - Organ-übergreifende Analyse der Datensätze und Identifikation von potentiellen Zielmolekülen für die Therapie, G3618156199, SFB 1550: Molekulare Schaltkreise von Herzerkrankungen, G645767916, G8691420999
OpenAlex ID: W4391564490