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Brian Gaschen

Researcher at Los Alamos National Laboratory

Publications -  18
Citations -  5192

Brian Gaschen is an academic researcher from Los Alamos National Laboratory. The author has contributed to research in topics: Population & Virus. The author has an hindex of 13, co-authored 18 publications receiving 4989 citations.

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Identification and characterization of transmitted and early founder virus envelopes in primary HIV-1 infection

TL;DR: A mathematical model of random viral evolution and phylogenetic tree construction is developed and used to analyze 3,449 complete env sequences derived by single genome amplification from 102 subjects with acute HIV-1 (clade B) infection, suggesting a finite window of potential vulnerability of HIV- 1 to vaccine-elicited immune responses, although phenotypic properties of transmitted Envs pose a formidable defense.
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Diversity considerations in HIV-1 vaccine selection.

TL;DR: Consensus or ancestor sequences could be used in vaccine design to minimize the genetic differences between vaccine strains and contemporary isolates, effectively reducing the extent of diversity by half.
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Evolutionary and immunological implications of contemporary HIV-1 variation.

TL;DR: A comparison between HIV and influenza virus illustrates the extraordinary scale of HIV variation, and underscores the importance of exploring innovative HIV vaccine strategies.
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Tracking global patterns of N-linked glycosylation site variation in highly variable viral glycoproteins: HIV, SIV, and HCV envelopes and influenza hemagglutinin.

TL;DR: A new Web-based program developed to facilitate the sequon tracking and to define patterns allowed rapid visualization of the two distinctive patterns of sequon variation found in HIV-1, HIV-2, and SIV CPZ, and two shifting sites were identified.
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Clustering Patterns of Cytotoxic T-Lymphocyte Epitopes in Human Immunodeficiency Virus Type 1 (HIV-1) Proteins Reveal Imprints of Immune Evasion on HIV-1 Global Variation

TL;DR: This work integrated the global sequence and immunology databases to systematically explore the relationship between HIV-1 amino acid sequences and CTL epitope distributions, and identified distinct characteristics of HIV amino acids sequences that correlate with C TL epitope localization.