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Tagare, H. D.

Publications and source records attributed to Tagare, H. D..

2 recordsLinked to original sources

REPIC -- an ensemble learning methodology for cryo-EM particle picking

Cryo-EM (cryogenic electron microscopy) particle identification from micrographs (i.e., picking) is challenging due to the low signal-to-noise ratio and lack of ground truth for particle locations. Moreover, current computational methods ("pickers") identify different particle sets, complicating the selection of the best-suited picker for a protein of interest. Here, we present REPIC, an ensemble learning methodology that uses multiple pickers to find consensus particles. REPIC identifies consensus particles by framing its task as a graph problem and using integer linear programming to select particles. REPIC picks high-quality particles when the best picker is not known a priori and for known difficult-to-pick particles (e.g., TRPV1). Reconstructions using consensus particles achieve resolutions comparable to those from particles picked by experts, without the need for downstream particle filtering. Overall, our results show REPIC requires minimal (often no) manual picking and significantly reduces the burden on cryo-EM users for picker selection and particle picking. Availabilityhttps://github.com/ccameron/REPIC

bioinformatics↗

Asymmetric HIV-1 envelope trimers bound to one and two CD4 molecules are intermediates during membrane binding

Human immunodeficiency virus 1 (HIV-1) infection is initiated by binding of the viral envelope glycoprotein (Env) to the cell-surface receptor CD4. Although high resolution structures of Env complexed with soluble domains of CD4 have been determined, the binding process is less understood on native membranes. Here, we apply cryo-electron tomography (cryo-ET) to monitor Env-CD4 interactions at membrane-membrane interfaces formed between HIV-1 and CD4-presenting virus-like particles. Env-CD4 complexes organized into clusters and rings, bringing opposing membranes closer together. Additionally, Env-CD4 clustering was dependent on capsid maturation. Subtomogram averaging and classification revealed that Env bound one, two, and finally three CD4 molecules, upon which Env adopted a partially open state. Our data indicate that asymmetric HIV-1 Env trimers bound to one and two CD4 molecules are detectable intermediates during virus binding to host cell membranes, which likely has consequences for antibody-mediated immune responses and vaccine immunogen design.

microbiology↗