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Connection

Phillip Tai to Transgenes

This is a "connection" page, showing publications Phillip Tai has written about Transgenes.
Connection Strength

1.003
  1. Xu M, Li J, Xie J, He R, Su Q, Gao G, Tai PWL. High-Throughput Quantification of In Vivo Adeno-Associated Virus Transduction with Barcoded Non-Coding RNAs. Hum Gene Ther. 2019 08; 30(8):946-956.
    View in: PubMed
    Score: 0.618
  2. Tai PWL. Integration of Gene Therapy Vectors: A Risk Factor for Tumorigenesis or Another Commensal Property of Adeno-Associated Viruses That Benefits Long-Term Transgene Expression? Hum Gene Ther. 2023 11; 34(21-22):1074-1076.
    View in: PubMed
    Score: 0.210
  3. Xie Q, Chen X, Ma H, Zhu Y, Ma Y, Jalinous L, Cox GF, Weaver F, Yang J, Kennedy Z, Gruntman A, Du A, Su Q, He R, Tai PW, Gao G, Xie J. Improved gene therapy for spinal muscular atrophy in mice using codon-optimized hSMN1 transgene and hSMN1 gene-derived promotor. EMBO Mol Med. 2024 Apr; 16(4):945-965.
    View in: PubMed
    Score: 0.054
  4. Muhuri M, Zhan W, Maeda Y, Li J, Lotun A, Chen J, Sylvia K, Dasgupta I, Arjomandnejad M, Nixon T, Keeler AM, Manokaran S, He R, Su Q, Tai PWL, Gao G. Novel Combinatorial MicroRNA-Binding Sites in AAV Vectors Synergistically Diminish Antigen Presentation and Transgene Immunity for Efficient and Stable Transduction. Front Immunol. 2021; 12:674242.
    View in: PubMed
    Score: 0.044
  5. Taghian T, Marosfoi MG, Puri AS, Cataltepe OI, King RM, Diffie EB, Maguire AS, Martin DR, Fernau D, Batista AR, Kuchel T, Christou C, Perumal R, Chandra S, Gamlin PD, Bertrand SG, Flotte TR, McKenna-Yasek D, Tai PWL, Aronin N, Gounis MJ, Sena-Esteves M, Gray-Edwards HL. A Safe and Reliable Technique for CNS Delivery of AAV Vectors in the Cisterna Magna. Mol Ther. 2020 02 05; 28(2):411-421.
    View in: PubMed
    Score: 0.040
  6. Gessler DJ, Tai PWL, Li J, Gao G. Intravenous Infusion of AAV for Widespread Gene Delivery to the Nervous System. Methods Mol Biol. 2019; 1950:143-163.
    View in: PubMed
    Score: 0.037
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.