High-SensitivityFluorescence-Based Detection of ReverseTranscriptase 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.

Publication Details

Journal
Figshare
Published
2025-02-13
DOI
https://doi.org/10.1021/acs.analchem.4c06236.s001
Primary Topic
RNA Research and Splicing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High-SensitivityFluorescence-Based Detection of ReverseTranscriptase Read-Through of GC-Rich Short Tandem Repeat RNA

Figshare
RNA Research and Splicing
article

High-SensitivityFluorescence-Based Detection of ReverseTranscriptase Read-Through of GC-Rich Short Tandem Repeat RNA

article en

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.

Figshare
Openalex Percentile: Top 61%
RNA Research and Splicing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

High-SensitivityFluorescence-Based Detection of ReverseTranscriptase Read-Through of GC-Rich Short Tandem Repeat RNA · Figshare (2025) | TGRS Research Map | TGRS