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

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

Published on: October 25, 2018

Sampling strategies to capture single-cell heterogeneity.

Satwik Rajaram¹, Louise E Heinrich¹, John D Gordan^2,3

¹Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California, USA.

|September 5, 2017

Summary

Researchers can now estimate required sampling depth for single-cell heterogeneity studies. This data-driven method ensures experiments capture the full range of cellular variation from existing samples.

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

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Transcriptome Analysis of Single Cells

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Published on: April 25, 2011

Area of Science:

Biotechnology
Cell Biology
Genomics

Background:

Single-cell technologies reveal significant cellular heterogeneity.
Understanding cellular heterogeneity is crucial for biological insights.
Designing experiments to capture this heterogeneity presents a challenge.

Purpose of the Study:

To develop a data-driven approach for estimating sampling depth.
To guide experimental design for prospective single-cell heterogeneity investigations.
To address the challenge of faithfully capturing cellular heterogeneity.

Main Methods:

Developed a data-driven computational approach.
Illustrated the method using image data.
Estimated required sampling depth from existing sample collections.

Main Results:

The approach provides an estimate of necessary sampling depth.
This facilitates more effective experimental design.
Applicable to prospective studies of single-cell heterogeneity.

Conclusions:

The developed method aids in optimizing experimental design for single-cell studies.
It enables researchers to determine appropriate sampling depths.
This enhances the accurate characterization of cellular heterogeneity.