Tutorial: Guidelines for Single-Cell RT-qPCR

Reverse transcription quantitative PCR (RT-qPCR) has delivered significant insights in understanding the gene expression landscape. Thanks to its precision, sensitivity, flexibility, and cost effectiveness, RT-qPCR has also found utility in advanced single-cell analysis. Single-cell RT-qPCR now repr...

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Main Authors: Daniel Zucha, Mikael Kubista, Lukas Valihrach
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Cells
Subjects:
Online Access:https://www.mdpi.com/2073-4409/10/10/2607
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author Daniel Zucha
Mikael Kubista
Lukas Valihrach
author_facet Daniel Zucha
Mikael Kubista
Lukas Valihrach
author_sort Daniel Zucha
collection DOAJ
description Reverse transcription quantitative PCR (RT-qPCR) has delivered significant insights in understanding the gene expression landscape. Thanks to its precision, sensitivity, flexibility, and cost effectiveness, RT-qPCR has also found utility in advanced single-cell analysis. Single-cell RT-qPCR now represents a well-established method, suitable for an efficient screening prior to single-cell RNA sequencing (scRNA-Seq) experiments, or, oppositely, for validation of hypotheses formulated from high-throughput approaches. Here, we aim to provide a comprehensive summary of the scRT-qPCR method by discussing the limitations of single-cell collection methods, describing the importance of reverse transcription, providing recommendations for the preamplification and primer design, and summarizing essential data processing steps. With the detailed protocol attached in the appendix, this tutorial provides a set of guidelines that allow any researcher to perform scRT-qPCR measurements of the highest standard.
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spelling doaj.art-2db13fca13654d6195b462610e2d75462023-11-22T17:46:19ZengMDPI AGCells2073-44092021-09-011010260710.3390/cells10102607Tutorial: Guidelines for Single-Cell RT-qPCRDaniel Zucha0Mikael Kubista1Lukas Valihrach2Laboratory of Gene Expression, Institute of Biotechnology CAS, 252 50 Vestec, Czech RepublicLaboratory of Gene Expression, Institute of Biotechnology CAS, 252 50 Vestec, Czech RepublicLaboratory of Gene Expression, Institute of Biotechnology CAS, 252 50 Vestec, Czech RepublicReverse transcription quantitative PCR (RT-qPCR) has delivered significant insights in understanding the gene expression landscape. Thanks to its precision, sensitivity, flexibility, and cost effectiveness, RT-qPCR has also found utility in advanced single-cell analysis. Single-cell RT-qPCR now represents a well-established method, suitable for an efficient screening prior to single-cell RNA sequencing (scRNA-Seq) experiments, or, oppositely, for validation of hypotheses formulated from high-throughput approaches. Here, we aim to provide a comprehensive summary of the scRT-qPCR method by discussing the limitations of single-cell collection methods, describing the importance of reverse transcription, providing recommendations for the preamplification and primer design, and summarizing essential data processing steps. With the detailed protocol attached in the appendix, this tutorial provides a set of guidelines that allow any researcher to perform scRT-qPCR measurements of the highest standard.https://www.mdpi.com/2073-4409/10/10/2607single cellsample collectionreverse transcriptionpreamplificationquantitative PCRgene expression
spellingShingle Daniel Zucha
Mikael Kubista
Lukas Valihrach
Tutorial: Guidelines for Single-Cell RT-qPCR
Cells
single cell
sample collection
reverse transcription
preamplification
quantitative PCR
gene expression
title Tutorial: Guidelines for Single-Cell RT-qPCR
title_full Tutorial: Guidelines for Single-Cell RT-qPCR
title_fullStr Tutorial: Guidelines for Single-Cell RT-qPCR
title_full_unstemmed Tutorial: Guidelines for Single-Cell RT-qPCR
title_short Tutorial: Guidelines for Single-Cell RT-qPCR
title_sort tutorial guidelines for single cell rt qpcr
topic single cell
sample collection
reverse transcription
preamplification
quantitative PCR
gene expression
url https://www.mdpi.com/2073-4409/10/10/2607
work_keys_str_mv AT danielzucha tutorialguidelinesforsinglecellrtqpcr
AT mikaelkubista tutorialguidelinesforsinglecellrtqpcr
AT lukasvalihrach tutorialguidelinesforsinglecellrtqpcr