ArticleOncotarget2017
A high-throughput method to detect RNA profiling by integration of RT-MLPA with next generation sequencing technology.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Bridging the Diagnostic Gap in Hereditary Cancers with Simple, Cost-Effective, High-Throughput RNA Splicing Analysis.The Journal of molecular diagnostics : JMD · 2025Article
- PHDs-seq: a large-scale phenotypic screening method for drug discovery through parallel multi-readout quantification.Cell regeneration (London, England) · 2023Article
- Disequilibrium betweenCancers · 2023Article
- Analysis of differential gene expression profile identifies novel biomarkers for breast cancer.Oncotarget · 2017Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
RNA in formalin-fixed and paraffin-embedded (FFPE) tissues provides large amount of information indicating disease stages, histological tumor types and grades, as well as clinical outcomes. However, Detection of RNA expression levels in formalin-fixed and paraffin-embedded samples is extremely difficult due to poor RNA quality. Here we developed a high-throughput method, Reverse Transcription-Multiple Ligation-dependent Probe Sequencing (RT-MLPSeq), to determine expression levels of multiple transcripts in FFPE samples. By combining Reverse Transcription-Multiple Ligation-dependent Amplification method and next generation sequencing technology, RT-MLPSeq overcomes the limit of probe length in multiplex ligation-dependent probe amplification assay and thus could detect expression levels of transcripts without quantitative limitations. We proved that different RT-MLPSeq probes targeting on the same transcripts have highly consistent results and the starting RNA/cDNA input could be as little as 1 ng. RT-MLPSeq also presented consistent relative RNA levels of selected 13 genes with reverse transcription quantitative PCR. Finally, we demonstrated the application of the new RT-MLPSeq method by measuring the mRNA expression levels of 21 genes which can be used for accurate calculation of the breast cancer recurrence score - an index that has been widely used for managing breast cancer patients.
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Registered trials
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