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Record W3099243915 · doi:10.1101/356162

KSHV requires eIF3d for cholesterol biosynthesis to support lytic replication

2018· preprint· en· W3099243915 on OpenAlexaff
Eric S. Pringle, Carolyn-Ann Robinson, Nicolas Crapoulet, Andrea Monjo, Katrina Bouzanis, Andrew M. Leidal, Stephen M. Lewis, Daniel Gaston, James Uniacke, Craig McCormick

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2018
Typepreprint
Languageen
FieldMedicine
TopicViral-associated cancers and disorders
Canadian institutionsUniversity of GuelphBeatrice Hunter Cancer Research InstituteAtlantic Cancer Research InstituteDalhousie UniversityUniversity of New BrunswickUniversité de MonctonUniversity of Calgary
Fundersnot available
KeywordsLytic cycleBiologyViral replicationCell biologyProtein biosynthesisTranslation (biology)Messenger RNAGeneVirusVirologyMolecular biologyGenetics

Abstract

fetched live from OpenAlex

ABSTRACT Herpesvirus genomes are decoded by host RNA polymerase II, generating viral messenger ribonucleic acids (mRNAs) that are post-transcriptionally modified and exported to the cytoplasm. These viral mRNAs have 5□-m 7 GTP caps and poly(A) tails that enable assembly of host translation initiation factors (TIFs) required for viral protein synthesis. Here we show that maximal production of viral proteins during lytic replication requires both the canonical host TIF eukaryotic initiation factor 4F (eIF4F) and the alternative host TIF eIF3d. Despite this, production of infectious virions is largely dependent on eIF3d, with eIF4F playing a minor role. Investigating the effects of eIF3d silencing on the host proteome revealed that it is required for accumulation of proteins involved in cholesterol metabolism, as well as the accumulation of intracellular cholesterol during KSHV lytic replication. In KSHV infected and uninfected cells alike, eIF3d supports efficient translation of cholesterol biosynthesis enzymes, including squalene epoxidase (SQLE), whose function is required to support productive lytic replication during cholesterol scarcity. These findings position eIF3d as a critical TIF required to support translation of essential host mRNAs required for KSHV replication. AUTHOR SUMMARY Animal cells tightly regulate uptake, synthesis, storage, and export of cholesterol to ensure optimal membrane fluidity and permeability. Many enveloped viruses require cholesterol to support membrane fusion events during cell entry and cell surface budding events during assembly and egress. Herpesviruses like Kaposi’s sarcoma-associated virus (KSHV) require cholesterol to support entry, but its role in post-entry events, including budding and fusion at internal membranes, remains incompletely understood. Here, through our studies of KSHV protein synthesis, we uncovered a new mechanism of cellular control of cholesterol metabolism involving the host translation initiation factor (TIF) eIF3d. We demonstrated that eIF3d was required to support efficient translation of host mRNAs encoding key proteins required for cholesterol biosynthesis and uptake. Using a lytic reactivation model that bypasses the entry step, we observed that productive KSHV lytic replication is accompanied by eIF3d-dependent increases in intracellular cholesterol. Preventing cholesterol synthesis and uptake, or silencing eIF3d , strongly inhibited production of infectious virions. These studies shed new light on the importance of intracellular cholesterol to support KSHV replication, and provide motivation for future studies of how cholesterol influences discrete post-entry steps of KSHV infection.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.277
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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