High-Sensitivity Fluorescence-Based Detection of Reverse Transcriptase Read-Through of GC-Rich Short Tandem Repeat RNA

Short tandem repeat (STR) RNAs play a pivotal role in the pathology of STR expansion-associated disorders. However, disease-related STR sequences are often GC-rich (>66% GC), which makes sample preparation and detection challenging. GC-rich STR RNAs, particularly those composed entirely of GC (100% GC), frequently cause interruptions during reverse transcription. Additionally, the GC-rich STR DNA sequences generate low-yield and heterogeneous products when amplified via polymerase chain reaction. The lack of robust processivity of polymerases for GC-only STR poses major challenges in preparing samples and detecting such sequences with physiologically relevant lengths. Herein, we report the <i>in vitro</i> preparation of r(CGG)<sub>29</sub> and r(G<sub>4</sub>C<sub>2</sub>)<sub>15</sub> RNAs, which had repeat numbers relevant to the human <i>FMR1</i> and <i>C9ORF72</i> genes, respectively, and achieved high yield and homogeneity of the prepared GC-only STR RNAs. Using the prepared RNAs, a fluorescence-based detection platform is developed that uses reverse transcriptases (RTases) to identify read-through cDNA products with high sensitivity, requiring minimal RNA input. Further, we demonstrate the versatile applications of this detection platform and provide structural insights into the r(CGG)<sub>29</sub> and r(G<sub>4</sub>C<sub>2</sub>)<sub>15</sub> RNAs during RTase processing. The findings of this study will enhance our ability to characterize and target disease-relevant STR RNAs <i>in vitro</i> and pave the way for future efforts in the directed evolution of RTases aimed at improving the detection of endogenous-expanded GC-rich STR RNAs.

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Journal
Analytical Chemistry
Published
2025-02-13
DOI
https://doi.org/10.1021/acs.analchem.4c06236
Citations
1
Primary Topic
RNA Research and Splicing
Type
article
Field-Weighted Citation Impact
0.81

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article

High-Sensitivity Fluorescence-Based Detection of Reverse Transcriptase Read-Through of GC-Rich Short Tandem Repeat RNA

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1 citations
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RNA Research and Splicing
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article

High-Sensitivity Fluorescence-Based Detection of Reverse Transcriptase Read-Through of GC-Rich Short Tandem Repeat RNA

Huiqing Zhou, Peng Jin, Yujing Li, Catherine Hazard, Weiqi Qiu
article en
1 citations

Abstract

Short tandem repeat (STR) RNAs play a pivotal role in the pathology of STR expansion-associated disorders. However, disease-related STR sequences are often GC-rich (>66% GC), which makes sample preparation and detection challenging. GC-rich STR RNAs, particularly those composed entirely of GC (100% GC), frequently cause interruptions during reverse transcription. Additionally, the GC-rich STR DNA sequences generate low-yield and heterogeneous products when amplified via polymerase chain reaction. The lack of robust processivity of polymerases for GC-only STR poses major challenges in preparing samples and detecting such sequences with physiologically relevant lengths. Herein, we report the <i>in vitro</i> preparation of r(CGG)<sub>29</sub> and r(G<sub>4</sub>C<sub>2</sub>)<sub>15</sub> RNAs, which had repeat numbers relevant to the human <i>FMR1</i> and <i>C9ORF72</i> genes, respectively, and achieved high yield and homogeneity of the prepared GC-only STR RNAs. Using the prepared RNAs, a fluorescence-based detection platform is developed that uses reverse transcriptases (RTases) to identify read-through cDNA products with high sensitivity, requiring minimal RNA input. Further, we demonstrate the versatile applications of this detection platform and provide structural insights into the r(CGG)<sub>29</sub> and r(G<sub>4</sub>C<sub>2</sub>)<sub>15</sub> RNAs during RTase processing. The findings of this study will enhance our ability to characterize and target disease-relevant STR RNAs <i>in vitro</i> and pave the way for future efforts in the directed evolution of RTases aimed at improving the detection of endogenous-expanded GC-rich STR RNAs.

Analytical ChemistryVol. 97(7)
Boston College (US), Emory University (US), Massachusetts Institute of Technology (US)
Boston College, National Institute of General Medical Sciences
Zero hunger
Openalex Percentile: Top 31%
RNA Research and Splicing
0.81
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