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Related Experiment Video

Updated: Jan 6, 2026

Analysis of Multidimensional Microscopy Data Using Cell-ACDC
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DC3 is a method for deconvolution and coupled clustering from bulk and single-cell genomics data.

Wanwen Zeng1,2, Xi Chen1, Zhana Duren1

  • 1Department of Statistics, Department of Biomedical Data Science, Bio-X Program, Stanford University, Stanford, CA, 94305, USA.

Nature Communications
|October 12, 2019
PubMed
Summary

DC3 integrates single-cell and bulk genomics data to identify cell subpopulations and their gene regulatory systems. This method deconvolves complex cellular mixtures for comprehensive analysis.

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Area of Science:

  • Genomics
  • Computational Biology
  • Systems Biology

Background:

  • Understanding cellular heterogeneity is crucial in genomics.
  • Single-cell assays like scRNA-seq, scATAC-seq, and scHi-C resolve cellular heterogeneity.
  • Bulk HiChIP offers higher resolution for chromatin contacts than single-cell Hi-C.

Purpose of the Study:

  • To introduce DC3 (De-Convolution and Coupled-Clustering) for joint analysis of bulk and single-cell data.
  • To simultaneously identify cell subpopulations, cluster single cells, and de-convolve bulk data.
  • To provide comprehensive characterization of gene regulatory systems in distinct subpopulations.

Main Methods:

  • Joint analysis of HiChIP, RNA-seq, and ATAC-seq data.
  • Application of De-Convolution and Coupled-Clustering (DC3).
  • Simultaneous subpopulation identification, single-cell assignment, and bulk data de-convolution.

Main Results:

  • DC3 successfully identifies distinct cell subpopulations from heterogeneous mixtures.
  • Single cells are accurately assigned to their respective subpopulations.
  • Subpopulation-specific profiles of gene expression, chromatin accessibility, and enhancer-promoter contacts are generated.

Conclusions:

  • DC3 enables a comprehensive characterization of gene regulatory systems.
  • The method effectively integrates diverse genomic data types (bulk and single-cell).
  • DC3 provides a powerful tool for dissecting cellular heterogeneity.