Multiparametric domain insertional profiling of adeno-associated virus VP1.

Journal Information

Full Title: Mol Ther Methods Clin Dev

Abbreviation: Mol Ther Methods Clin Dev

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Medicine, Research & Experimental

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
5/6
83.3% Transparent
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Evidence found in paper:

"sequencing data generated in this study have been deposited in the sequence raw archive ( https://www ncbi nlm nih gov/sra ) under accession code prjna950466; refer to for corresponding metadata and read statistics. the code for handling data from domain insertion library sequencing is available at: https://github com/savagelab/dipseq .; this pipeline results in csv spreadsheets (available as processed data along scripts to reproduce manuscript figures which are available at https://github/com/schmidt-lab/aav_insertion_profiling ) indicating insertion position direction and whether it was in frame.; the code for handling data from domain insertion library sequencing is available at https://github com/savagelab/dipseq .; processed read count data along with r scripts to reproduce manuscript figures are available at https://github com/schmidt-lab/aav_insertion_profiling ."

Evidence found in paper:

"the code for handling data from domain insertion library sequencing is available at: https://github com/savagelab/dipseq .; this pipeline results in csv spreadsheets (available as processed data along scripts to reproduce manuscript figures which are available at https://github/com/schmidt-lab/aav_insertion_profiling ) indicating insertion position direction and whether it was in frame.; the code for handling data from domain insertion library sequencing is available at https://github com/savagelab/dipseq .; the spine code is available at https://github com/schmidt-lab/spine .; processed read count data along with r scripts to reproduce manuscript figures are available at https://github com/schmidt-lab/aav_insertion_profiling .; a shiny app to display 3d views of aav insertion fitness maps in a web browser is available at https://github com/schmidt-lab/shinyaaviewerr ."

Evidence found in paper:

"Declaration of interests The authors declare no competing interests."

Evidence found in paper:

"The project described was supported by a Career Development Award from the American Society of Gene & Cell Therapy (M.D.H.). The content is solely the responsibility of the authors and does not necessarily represent the official views of the American Society of Gene & Cell Therapy. This work was supported by the 10.13039/100000002National Institutes of Health (R01GM141152 to D.S.) and (P30DA048742 to D.S.). Some AAV productions used in this study were generated by the University of Minnesota Viral Vector and Cloning Core (Minneapolis, MN). We thank the University of Minnesota Genomics Center for providing NGS service and technical support. This work was also supported by the resources and staff at the University of Minnesota University Imaging Centers (UIC). The UIC RRID is SCR_020997. Transmission electron microscopy was carried out in the Characterization Facility, University of Minnesota, which receives partial support from the 10.13039/100000001NSF through the MRSEC (award number DMR-2011401) and the NNCI (award number ECCS-2025124) programs."

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Last Updated: Aug 05, 2025