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Updated: Sep 8, 2025

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Rare Event Detection Using Error-corrected DNA and RNA Sequencing
Published on: August 3, 2018
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La secuenciación más-menos emparejada es un método de ultra alto rendimiento y precisión para la secuenciación de
Alexandre Pellan Cheng1,2,3, Itai Rusinek4, Aaron Sossin3
1École de Technologie Supérieure, Montréal, Québec, Canada.
bioRxiv : the preprint server for biology
|August 20, 2025
Resumen
La secuenciación más-menos emparejada (ppmSeq) ofrece un método rentable para detectar con precisión las variantes de un solo nucleótido de baja frecuencia (SNV) en el ADN. Esta tecnología mejora la recuperación dúplex para mejorar la secuenciación del genoma en aplicaciones clínicas.
Área de la Ciencia:
- La genómica
- Biología molecular
- La bioinformática
Sus antecedentes:
- Distinguir la verdadera variación biológica (SNV) de los errores de secuenciación es crucial, especialmente para las variantes de baja frecuencia en la detección de cáncer y el mosaicismo somático.
- Los métodos de secuenciación dúplex actuales requieren una secuenciación excesiva extensa debido a las bajas tasas de captura de moléculas dúplex.
Objetivo del estudio:
- Introducir la secuenciación más-menos emparejada (ppmSeq) como un avance sobre las tecnologías de secuenciación dúplex existentes.
- Evaluar la eficiencia, las tasas de error y la aplicabilidad de ppmSeq en entornos clínicos para detectar variantes de baja frecuencia.
Principales métodos:
- Particiones de secuenciación más-menos emparejadas (ppmSeq) y amplifica clonalmente ambas hebras de ADN de una sola molécula a través de la PCR en emulsión.
- Ambas cadenas contribuyen a una sola lectura de secuencia, lo que permite el escalamiento lineal del rendimiento dúplex con cobertura.
- Comparación con las tecnologías de secuenciación dúplex existentes y evaluación de las tasas de error utilizando ADN genómico y libre de células.
Principales resultados:
- ppmSeq logró una recuperación dúplex superior (44% ± 5.5%) en comparación con las tecnologías dúplex líderes (~5-11%).
- Las tasas de error de detección de SNV residuales fueron tan bajas como 7.98x10-8 para el ADN genómico y 3.5x10-7 para el ADN libre de células.
- Se ha demostrado la eficacia de la detección de ADN tumoral circulante informado y no informado para el monitoreo del cáncer.
Conclusiones:
- ppmSeq proporciona un enfoque escalable, rentable y de alta fidelidad para la secuenciación de todo el genoma corregida por errores.
- La tecnología permite la detección sensible de ctDNA para el monitoreo de la enfermedad y la identificación de firmas de mutación específicas del cáncer.
- ppmSeq es adecuado para aplicaciones clínicas desafiantes y genética somática humana que requieren una identificación de mutaciones de alta precisión.
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