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Related Experiment Video

Updated: May 31, 2026

Isolation of Precursor B-cell Subsets from Umbilical Cord Blood
14:06

Isolation of Precursor B-cell Subsets from Umbilical Cord Blood

Published on: April 16, 2013

Cell subset prediction for blood genomic studies.

Christopher R Bolen1, Mohamed Uduman, Steven H Kleinstein

  • 1Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut 06511, USA.

BMC Bioinformatics
|June 28, 2011
PubMed
Summary

A new computational method, SPEC, identifies cell types in blood samples without needing to isolate them. This advances genomic studies for disease and therapy insights by analyzing total peripheral blood mononuclear cells (PBMCs).

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Area of Science:

  • Genomics
  • Computational Biology
  • Immunology

Background:

  • Genome-wide transcriptional profiling of blood samples is crucial for understanding disease mechanisms and personalizing treatments.
  • Analyzing total peripheral blood mononuclear cells (PBMCs) limits accuracy due to cell subset dilution.
  • Identifying informative PBMC subsets for transcriptional profiling is challenging.

Purpose of the Study:

  • To develop a computational method to predict the cellular source of gene signatures from total PBMC data.
  • To overcome the limitations of analyzing mixed cell populations in blood genomic studies.

Main Methods:

  • Developed Subset Prediction from Enrichment Correlation (SPEC), a computational method.
  • SPEC utilizes correlations with subset-specific genes across samples, not just signature genes.

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Characterization of Human Monocyte Subsets by Whole Blood Flow Cytometry Analysis
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Characterization of Human Monocyte Subsets by Whole Blood Flow Cytometry Analysis

Published on: October 17, 2018

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
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A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

Related Experiment Videos

Last Updated: May 31, 2026

Isolation of Precursor B-cell Subsets from Umbilical Cord Blood
14:06

Isolation of Precursor B-cell Subsets from Umbilical Cord Blood

Published on: April 16, 2013

Characterization of Human Monocyte Subsets by Whole Blood Flow Cytometry Analysis
09:12

Characterization of Human Monocyte Subsets by Whole Blood Flow Cytometry Analysis

Published on: October 17, 2018

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
09:34

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

  • Validated SPEC using multiple experimental datasets.

    • Main Results:

    • SPEC accurately predicts the cellular source of gene signatures (myeloid, lymphoid, B cells, T cells, NK cells, monocytes).
    • Demonstrated SPEC's ability to differentiate between specific immune cell types.
    • Predicted myeloid cells as the source of an interferon-therapy response gene signature in non-responsive HCV patients.

    Conclusions:

    • SPEC is a powerful technique for blood genomic studies, enabling identification of key cell subsets.
    • Facilitates understanding of disease and therapy response by pinpointing relevant cell types.
    • Widely applicable to existing microarray and RNA-seq data from total PBMCs.