Combinatorial Polycation Synthesis and Causal Machine Learning Reveal Divergent Polymer Design Rules for Effective pDNA and Ribonucleoprotein Delivery-Reference-Cited by-同舟云学术

Combinatorial Polycation Synthesis and Causal Machine Learning Reveal Divergent Polymer Design Rules for Effective pDNA and Ribonucleoprotein Delivery

Published:2022-02-07 Issue:2 Volume:2 Page:428-442
ISSN:2691-3704
Container-title:JACS Au
language:en
Short-container-title:JACS Au

Author:

Kumar Ramya¹^ORCID,Le Ngoc¹,Oviedo Felipe²,Brown Mary E.³,Reineke Theresa M.¹²^ORCID

Affiliation:

1. Department of Chemistry, University of Minnesota, Minneapolis, Minnesota 55414, United States

2. Nanite Inc., 6 Liberty Square #6128, Boston, Massachusetts 02109, United States

3. University Imaging Centers, University of Minnesota, Minneapolis, Minnesota 55414, United States

Funder

Defense Advanced Research Projects Agency

Nanite Inc.

Publisher

American Chemical Society (ACS)

Subject

General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/jacsau.1c00467

Reference63 articles.

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2. Rescue of the spinal muscular atrophy phenotype in a mouse model by early postnatal delivery of SMN

3. Single-Dose Gene-Replacement Therapy for Spinal Muscular Atrophy

4. Nanoparticle delivery of Cas9 ribonucleoprotein and donor DNA in vivo induces homology-directed DNA repair

5. Entering the Modern Era of Gene Therapy

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