Accès ouvert déclaré
2022
preprint
Sequencing by avidity enables high accuracy with low reagent consumption
Sinan Arslan, Francisco J. Blanco García, Minghao Guo, Matthew W. Kellinger, Semyon Kruglyak, Jake A. LeVieux, Adeline Mah, Haosen Wang, Junhua Zhao, Chunhong Zhou, Andrew Altomare, J. Kevin Bailey, Matthew B. Byrne, Chiting Chang, Steve X. Chen, Claudia N. Dennler, Vivian T. Dien, Derek Fuller, Ryan Kelley, Omid Khandan, Michael Klein, Michael Kim, Bryan R. Lajoie, Bill Lin, Yu Liu, Tyler Lopez, Peter T. Mains, Andrew Price, Samantha R. Robertson, Hermes Taylor‐Weiner, Ramreddy Tippana, Austin B. Tomaney, Su Zhang, Mark R. Ambroso, Rosita Bajari, Ava M. Bellizzi, Chris B. Benitez, D. R. Bérard, Lorenzo Berti, Kelly Blease, Angela P. Blum, Andrew M. Boddicker, Leo Bondar, Chris Brown, Chris A. Bui, Juan Calleja-Aguirre, Kevin Cappa, Joshua Chan, Victor W.-C. Chang, Katherine Charov, Xiyi Chen, Rodger M. Constandse, Ryan C. Costello, Weston Damron, Mariam Dawood, Nicole DeBuono, John D. Dimalanta, Laure Edoli, Keerthana Elango, Nikka Faustino, Chao Feng, Mathhew Ferrari, Keith Frankie, Adam Fries, Anne Galloway, Vlad Gavrila, Gregory J. Gemmen, James Ghadiali, Arash Ghorbani, Logan A. Goddard, Adriana R. Guetter, Garren L. Hendricks, Jendrik Hentschel, Daniel J. Honigfort, Yun-Ting Hsieh, Yu-Hsien Hwang Fu, Scott Im, Chaoyi Jin, Shradha Kabu, Daniel E. Kincade, Shawn Levy, Yu Li, Vincent Liang, William H. Light, Jonathan B. Lipsher, Tsung-li Liu, Grace Long, Rui Ma, John M. Mailloux, Kyle A. Mandla, Anyssa R. Martinez, Max Mass, Daniel T. McKean, Michael Meron, Celyne S. Moh, Rachel Moore, Juan Moreno, Jordan M. Neysmith, Cassandra S. Niman, Jesus M. Nunez, Micah Ojeda, Sara Espinosa Ortiz, Jenna Owens, Geoffrey B. Piland, Daniel J. Proctor, Josua Purba, Michael Ray, Daisong Rong, Virginia M. Saade, Sanchari Saha, Gustav Santo Tomas, Nicholas Scheidler, Luqmanal H. Sirajudeen, Samantha J. Snow, Gudrun Stengel, Ryan Stinson, Michael J. Stone, Keoni J. Sundseth, Eileen Thai, Connor Thompson, Marco Tjioe, Christy L. Trejo, Greg W. Trieger, Diane Ni Truong, Ben Tse, Benjamin Voiles, Henry Vuong, Jennifer C. Wong, Chiung-Ting Wu, Hua Yu, Yingxian Estella Yu, Ming Yu, Xi Zhang, Zhao Da, Genhua Zheng, Molly M. He, Michael J. R. Previte
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Résumé fourni par la source
Abstract We present avidity sequencing - a novel sequencing chemistry that separately optimizes the process of stepping along a DNA template and the process of identifying each nucleotide within the template. Nucleotide identification uses multivalent nucleotide ligands on dye-labeled cores to form polymerase-polymer nucleotide complexes bound to clonal copies of DNA targets. These polymer-nucleotide substrates, termed avidites, decrease the required concentration of reporting nucleotides from micromolar to nanomolar, and yield negligible dissociation rates. We demonstrate the use of avidites as a key component of a sequencing technology that surpasses Q40 accuracy and enables a diversity of applications that include single cell RNA-seq and whole human genome sequencing. We also show the advantages of this technology in sequencing through long homopolymers.
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Contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Sequencing by avidity enables high accuracy with low reagent consumption
- Date Crossref
- 04/11/2022
- Éditeur
- openRxiv
- Type
- posted-content
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude et ne compte pas comme une seconde source scientifique indépendante.
Sujets associés
RNA and protein synthesis mechanismsGenomics and Phylogenetic StudiesMolecular Biology Techniques and Applications