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Updated: May 17, 2026

Study of Dendritic Cell Development by Short Hairpin RNA-Mediated Gene Knockdown in a Hematopoietic Stem and Progenitor Cell Line In vitro
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Decoding dendritic cell function through module and network analysis.

Gaurav Pandey1, Ariella Cohain, Jennifer Miller

  • 1Institute for Genomics and Multiscale Biology and Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, NY 10029, USA. gaurav.pandey@mssm.edu

Journal of Immunological Methods
|October 27, 2012
PubMed
Summary
This summary is machine-generated.

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Systems biology methods reveal gene networks in dendritic cells (DCs). This approach identifies key regulatory genes and interactions, advancing our understanding of immune responses.

Area of Science:

  • Immunology
  • Systems Biology
  • Genomics

Background:

  • Complex immunological processes can be understood using systems biology and large genomic datasets.
  • Dendritic cells (DCs) are crucial for initiating adaptive immune responses by sensing the environment.

Purpose of the Study:

  • To develop a systems biology approach for deriving gene co-expression modules and integrated networks from gene expression data.
  • To apply this approach to dendritic cell subsets for a deeper understanding of their regulatory networks.

Main Methods:

  • Clustering gene expression data to identify co-expression modules.
  • Constructing co-expression networks and integrating them with transcriptional regulatory and protein interaction data.
  • Analyzing ImmGen dataset for plasmacytoid DCs (pDCs), conventional DCs (cDCs), and CD8+ DCs.

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Last Updated: May 17, 2026

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Study of Dendritic Cell Development by Short Hairpin RNA-Mediated Gene Knockdown in a Hematopoietic Stem and Progenitor Cell Line In vitro

Published on: March 7, 2022

Analyzing Dendritic Morphology in Columns and Layers
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Published on: March 23, 2017

Quantitative Analysis of Neuronal Dendritic Arborization Complexity in Drosophila
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Main Results:

  • Generated the first set of co-expression modules and integrated networks specifically for dendritic cell subsets.
  • Identified known regulatory genes within these networks, validating the approach.
  • Discovered novel genes and interactions potentially important for dendritic cell function.

Conclusions:

  • The proposed systems biology approach effectively derives informative gene modules and networks from large datasets.
  • The generated networks provide novel insights into the regulatory mechanisms of dendritic cell subsets.
  • This work lays the foundation for further exploration of DC biology and immune regulation.