Article

scAAVengr, a transcriptome-based pipeline for quantitative ranking of engineered AAVs with…

eLife · 2021 · Bilge E Öztürk, author Molly E Johnson, author Michael Kleyman, author Serhan Turunç, author Jing He, author Sara Jabalameli, author Zhouhuan Xi, author Meike Visel, author Valérie L Dufour, author Simone Iwabe, author Luis Felipe L Pompeo Marinho, author Gustavo D Aguirre, author José-Alain Sahel, author David V Schaffer, author Andreas R Pfenning, author John G Flannery, author William A Beltran, author William R Stauffer, author Leah C Byrne, author ([email protected]) Brandon K Harvey, editor Lu Chen, senior_editor

Key facts

Title scAAVengr, a transcriptome-based pipeline for quantitative ranking of engineered AAVs with single-cell resolution
First author Bilge E Öztürk, author Molly E Johnson, author Michael Kleyman, author Serhan Turunç, author Jing He, author Sara Jabalameli, author Zhouhuan Xi, author Meike Visel, author Valérie L Dufour, author Simone Iwabe, author Luis Felipe L Pompeo Marinho, author Gustavo D Aguirre, author José-Alain Sahel, author David V Schaffer, author Andreas R Pfenning, author John G Flannery, author William A Beltran, author William R Stauffer, author Leah C Byrne, author ([email protected]) Brandon K Harvey, editor Lu Chen, senior_editor
Journal eLife
Published Oct 19, 2021
DOI 10.7554/eLife.64175
Devices mentioned K101223, K113129, K121993, K152205, K172649, K173648, K181594, K182569, K192391, K201252, K223557, K240221 and 1 more
Product codes mentioned HOO, OBO, MYC, MVU, MXK, HPT, PFF, PFT

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  • 10–99 FDA submissions mentioned
  • 1–9 Product codes mentioned

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