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Related Experiment Video

Updated: Aug 7, 2025

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
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A robust model for cell type-specific interindividual variation in single-cell RNA sequencing data.

Minhui Chen1, Andy Dahl1

  • 1Section of Genetic Medicine, University of Chicago, Chicago, IL 60637.

Biorxiv : the Preprint Server for Biology
|March 13, 2023
PubMed
Summary
This summary is machine-generated.

We developed a new model, Cell Type-specific linear Mixed Model (CTMM), to analyze gene expression differences between individuals in single-cell RNA sequencing data. CTMM reveals that most donor-to-donor variability in gene expression is specific to cell differentiation stages.

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Area of Science:

  • Genomics
  • Computational Biology
  • Developmental Biology

Background:

  • Single-cell RNA sequencing (scRNA-seq) enables detailed cellular heterogeneity analysis.
  • Current scRNA-seq analyses often overlook inter-individual gene expression variation.
  • Modeling inter-individual variation can enhance the detection of cell type-specific biology and complex trait associations.

Conclusions:

  • CTMM is a powerful tool for analyzing a previously uncharacterized dimension of cell type-specific biology in scRNA-seq.
  • The model effectively quantifies donor-specific gene expression variation during differentiation.
  • Findings highlight the importance of considering inter-individual and stage-specific effects in scRNA-seq studies.