A practical guide to targeted single-cell RNA sequencing technologies

Current single-cell RNA sequencing (scRNA-seq) methods suffer from biases that restrict the detection of cellular transcripts to 10-40% of total RNAs. This hinders the identification of transcripts of interest. Additionally, information retrieved from most high-throughput scRNA-seq methods is confined to untranslated regions toward transcript ends, resulting in loss of detail in internal regions. In this review, we outline biases in scRNA-seq protocol steps that limit transcript and region detection. We then discuss the advantages and disadvantages of targeted sequencing solutions, grouped into five categories according to the protocol step they target. Finally, we present a decision tree that guides researchers in selecting the most suitable targeted method for their experiment.

Authors

Publication Details

Journal
Universität Zürich, ZORA
Published
2026-02-14
DOI
https://doi.org/10.5167/uzh-291694
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
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article

A practical guide to targeted single-cell RNA sequencing technologies

Konrad Basler, Erich Brunner, Giulia Moro
Universität Zürich, ZORA
Single-cell and spatial transcriptomics
article

A practical guide to targeted single-cell RNA sequencing technologies

Konrad Basler, Erich Brunner, Giulia Moro
article en

Abstract

Current single-cell RNA sequencing (scRNA-seq) methods suffer from biases that restrict the detection of cellular transcripts to 10-40% of total RNAs. This hinders the identification of transcripts of interest. Additionally, information retrieved from most high-throughput scRNA-seq methods is confined to untranslated regions toward transcript ends, resulting in loss of detail in internal regions. In this review, we outline biases in scRNA-seq protocol steps that limit transcript and region detection. We then discuss the advantages and disadvantages of targeted sequencing solutions, grouped into five categories according to the protocol step they target. Finally, we present a decision tree that guides researchers in selecting the most suitable targeted method for their experiment.

Universität Zürich, ZORA
Peace, Justice and strong institutions
Openalex Percentile: Top 47%
Single-cell and spatial transcriptomics
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