Deciphering single-cell gene expression variability and its role in drug response

The effectiveness of drug treatments is profoundly influenced by individual responses, which are shaped by gene expression variability, particularly within pharmacogenes. Leveraging single-cell RNA sequencing (scRNA-seq) data, our study explores the extent of expression variability among pharmacogenes in a wide array of cell types across eight different human tissues, shedding light on their impact on drug responses. Our findings broaden the established link between variability in pharmacogene expression and drug efficacy to encompass variability at the cellular level. Moreover, we unveil a promising approach to enhance drug efficacy prediction. This is achieved by leveraging a combination of cross-cell and cross-individual pharmacogene expression variation measurements. Our study opens avenues for more precise forecasting of drug performance, facilitating tailored and more effective treatments in the future.

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Publication Details

Journal
Human Molecular Genetics
Published
2024-09-15
DOI
https://doi.org/10.1093/hmg/ddae138
Citations
1
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.23

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article

Deciphering single-cell gene expression variability and its role in drug response

Sizhe Liu, Liang Chen
1 citations
Human Molecular Genetics
Single-cell and spatial transcriptomics
0.23
article

Deciphering single-cell gene expression variability and its role in drug response

Sizhe Liu, Liang Chen
article en
1 citations

Abstract

The effectiveness of drug treatments is profoundly influenced by individual responses, which are shaped by gene expression variability, particularly within pharmacogenes. Leveraging single-cell RNA sequencing (scRNA-seq) data, our study explores the extent of expression variability among pharmacogenes in a wide array of cell types across eight different human tissues, shedding light on their impact on drug responses. Our findings broaden the established link between variability in pharmacogene expression and drug efficacy to encompass variability at the cellular level. Moreover, we unveil a promising approach to enhance drug efficacy prediction. This is achieved by leveraging a combination of cross-cell and cross-individual pharmacogene expression variation measurements. Our study opens avenues for more precise forecasting of drug performance, facilitating tailored and more effective treatments in the future.

Human Molecular GeneticsVol. 33(23)
University of Southern California (US)
National Institutes of Health
Openalex Percentile: Top 42%
Single-cell and spatial transcriptomics
0.23
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Deciphering single-cell gene expression variability and its role in drug response — Sizhe Liu, Liang Chen · Human Molecular Genetics (2024) | TGRS Research Map | TGRS