Published March 1, 2023
| Version v1
Dataset
Open
Targeting AAV vectors to the CNS via de novo engineered capsid-receptor interactions
Authors/Creators
- Qin Huang1
-
Albert T. Chen1
- Ken Y. Chan1
- Hikari Sorensen1
-
Andrew J. Barry1
- Bahar Azari2
- Qingxia Zheng1
- Thomas Beddow1
- Binhui Zhao1
-
Isabelle G. Tobey1
- Cynthia Moncada-Reid1
-
Fatma-Elzahraa Eid3
- Christopher J. Walkey4
- M. Cecilia Ljungberg5
- William R. Lagor4
- Jason D. Heaney6
-
Yujia A. Chan1
-
Benjamin E. Deverman1
- 1. Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge MA, USA
- 2. Electrical & Computer Engineering Department, Northeastern University, Boston MA, USA
- 3. Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge MA, USA; Department of Systems and Computer Engineering, Al-Azhar University; Cairo, Egypt
- 4. Department of Integrative Physiology, Baylor College of Medicine, Houston TX, USA
- 5. Department of Pediatrics, Baylor College of Medicine, Houston TX, USA; Duncan Neurological Research Institute at Texas Children's Hospital, Houston TX, USA
- 6. Department of Molecular and Human Genetics, Baylor College of Medicine, Houston TX, USA
Description
Dataset for "Targeting AAV vectors to the CNS via de novo engineered capsid-receptor interactions."
Files
library1.csv
Files
(983.0 MB)
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md5:03ef1dc17d5252418c79f2e9394b98d7
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md5:83f23bab4624976dccdf7f97b31b8bf4
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md5:b586509f3921c4a98c38c85b3c3d10bf
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385.3 MB | Preview Download |
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md5:3f060cc3be8a1e90e596208f838f8ed8
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545.7 kB | Preview Download |
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md5:bf414bd76cbff1efda94764456e17141
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md5:62bba4aea4657f949521e591143084ae
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md5:115f8271a366ffb3085bc06267de4146
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md5:38ba98189683299e323b7a4e9efd7ec7
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md5:400e5ba18d8b08df1dd08521b28f741a
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8.8 MB | Preview Download |
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md5:70569946f283c73487c9f5d851175930
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16.9 MB | Preview Download |
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md5:88c408a8e44a9da875389c12db867c9f
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18.3 MB | Preview Download |
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md5:a0d9c08365cb5be04d1a72876f387fb5
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md5:b42b59e362ed807b9c84a1336e28c83e
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628 Bytes | Preview Download |
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md5:79f4051d4d077c0c96b49df8e679d192
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278 Bytes | Preview Download |
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md5:34c20505116a2e2c8128e32eac7e3e2c
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887 Bytes | Preview Download |
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md5:7a685d2417f4605aa9694d5581824a4d
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26.9 MB | Preview Download |
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md5:414720fdd4a5b26b125e340e808d26de
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67.6 MB | Preview Download |
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md5:544ad3aa347bb3a7e1250f1b092c4d62
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40.9 kB | Preview Download |
Additional details
Related works
- Is supplement to
- Preprint: 10.1101/2022.10.31.514553 (DOI)