Accurate identification of single-nucleotide variants in whole-genome-amplified single cells
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TLDR
By comparing SCMDA-amplified single cells with unamplify clones from the same population, this work validated the procedure as a firm foundation for standardized somatic-mutation analysis in single-cell genomics.Abstract:
Mutation analysis in single-cell genomes is prone to artifacts associated with cell lysis and whole-genome amplification. Here we addressed these issues by developing single-cell multiple displacement amplification (SCMDA) and a general-purpose single-cell-variant caller, SCcaller (https://github.com/biosinodx/SCcaller/). By comparing SCMDA-amplified single cells with unamplified clones from the same population, we validated the procedure as a firm foundation for standardized somatic-mutation analysis in single-cell genomics.read more
Citations
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Eleven grand challenges in single-cell data science
David Lähnemann,David Lähnemann,Johannes Köster,Johannes Köster,Ewa Szczurek,Davis J. McCarthy,Davis J. McCarthy,Stephanie C. Hicks,Mark D. Robinson,Catalina A. Vallejos,Catalina A. Vallejos,Kieran R Campbell,Kieran R Campbell,Niko Beerenwinkel,Niko Beerenwinkel,Ahmed Mahfouz,Ahmed Mahfouz,Luca Pinello,Luca Pinello,Pavel Skums,Alexandros Stamatakis,Alexandros Stamatakis,Camille Stephan Otto Attolini,Samuel Aparicio,Samuel Aparicio,Jasmijn A. Baaijens,Marleen Balvert,Marleen Balvert,Buys de Barbanson,Antonio Cappuccio,Giacomo Corleone,Bas E. Dutilh,Bas E. Dutilh,Maria Florescu,Victor Guryev,Rens Holmer,Katharina Jahn,Katharina Jahn,Thamar Jessurun Lobo,Emma M. Keizer,Indu Khatri,Szymon M. Kielbasa,Jan O. Korbel,Alexey M. Kozlov,Tzu Hao Kuo,Boudewijn P. F. Lelieveldt,Boudewijn P. F. Lelieveldt,Ion I. Mandoiu,John C. Marioni,John C. Marioni,John C. Marioni,Tobias Marschall,Tobias Marschall,Felix Mölder,Amir Niknejad,Lukasz Raczkowski,Marcel J. T. Reinders,Marcel J. T. Reinders,Jeroen de Ridder,Antoine-Emmanuel Saliba,Antonios Somarakis,Oliver Stegle,Oliver Stegle,Fabian J. Theis,Huan Yang,Alexander Zelikovsky,Alexander Zelikovsky,Alice C. McHardy,Benjamin J. Raphael,Sohrab P. Shah,Alexander Schönhuth,Alexander Schönhuth +71 more
TL;DR: This compendium is for established researchers, newcomers, and students alike, highlighting interesting and rewarding problems for the coming years in single-cell data science.
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Differences between germline and somatic mutation rates in humans and mice.
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Single-cell multiomics: technologies and data analysis methods.
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Evaluation and minimization of Cas9-independent off-target DNA editing by cytosine base editors
Jordan L. Doman,Aditya Raguram,Aditya Raguram,Aditya Raguram,Gregory A. Newby,Gregory A. Newby,Gregory A. Newby,David R. Liu,David R. Liu,David R. Liu +9 more
TL;DR: The suite of CBEs characterized and engineered in this study collectively offer ~10–100-fold lower average Cas9-independent off-target DNA editing while maintaining robust on-target editing at most positions targetable by canonical CBEs, and thus are especially promising for applications in which off- target editing must be minimized.
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Unravelling biology and shifting paradigms in cancer with single-cell sequencing.
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