The molecular asynchrony of single cells

Area of Science:

• Genomics
• Molecular Biology
• Systems Biology

Background:

• Single-cell transcriptomic and epigenomic data integration is crucial for understanding gene regulation.
• Current methods often overlook temporal delays inherent in cellular kinetics, treating data as static.
• Molecular asynchrony within regulatory hierarchies offers insights into dynamic biological systems.

Purpose of the Study:

• To develop a method for analyzing molecular asynchrony in single cells.
• To characterize single-cell kinetics using multiomics data.
• To investigate age-related changes in cell identity and their link to disease.

Main Methods:

• SeqTag: a single-cell multiomics sequencing method profiling transcriptome, chromatin accessibility, and histone modifications.
• Analytical framework to identify asynchronous states across regulatory layers.
• Measurement of epigenetic priming and remodeling rates during oligodendrogenesis.

Main Results:

• Delineation of a sequential program for bivalency resolution during cell maturation.
• Observation that this process decouples with age, affecting progenitor cell-fate probabilities.
• Identification of aging-related decline in cell identity and proposed a dynamic model for late-onset diseases.

Conclusions:

• SeqTag provides a unified framework for modeling complex cellular kinetics using multimodal single-cell genomics.
• Molecular asynchrony is a key factor in understanding cellular dynamics and aging.
• The study links static genetic variants to the risk of late-onset diseases through a dynamic model.