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Cell Specific Gene Expression

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Updated: Jun 7, 2025

Single-cell Gene Expression Profiling Using FACS and qPCR with Internal Standards

Single-cell Gene Expression Profiling Using FACS and qPCR with Internal Standards

Published on: February 25, 2017

Privacy of single-cell gene expression data.

Hyunghoon Cho^1,2

¹Department of Biomedical Informatics & Data Science, Yale School of Medicine, New Haven CT 06510, USA.

Patterns (New York, N.Y.)

|November 21, 2024

Summary

Single-cell gene expression data can reveal an individual's genetic makeup. Even with noisy data, researchers accurately predicted genotypes, highlighting potential privacy concerns.

Area of Science:

Genomics
Bioinformatics
Molecular Biology

Background:

Single-cell gene expression (scGE) datasets are increasingly used in biological research.
The potential for scGE data to inadvertently disclose an individual's genetic information (genotype) remains largely unexamined.
Understanding data privacy risks associated with scGE is crucial for ethical data handling.

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Last Updated: Jun 7, 2025

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