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Record W7117583171 · doi:10.64898/2025.12.25.696538

The SARS-CoV-2 nonstructural protein 15 collapses the host cytoskeleton by interacting with the host keratin type II cytoskeletal 1

2025· article· W7117583171 on OpenAlexaff
W.G. Tam, César U. Monjarás-Ávila, Hans Adomat, Horacio Bach

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typearticle
Language
FieldBiochemistry, Genetics and Molecular Biology
TopicSkin and Cellular Biology Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCytoskeletonKeratinVero cellIntermediate filamentVirusCell

Abstract

fetched live from OpenAlex

Abstract COVID-19, the deadliest recorded pandemic of the 21 st century, was caused by a novel coronavirus, SARS-CoV-2. To explore why this coronavirus was significantly more pathogenic than its predecessors, more information is needed about the functions of the viral proteins that contributed to this uptick in virulence. This study explored how one of these viral proteins, the nonstructural protein 15 (NSP15), interacts with the host. Our findings revealed a novel protein-protein interaction between NSP15 and the host keratin type II cytoskeletal 1 in Vero E6 cells, as determined by mass spectrometry, and subsequently validated by immunoprecipitation. We observed that when NSP15 was delivered into Vero E6 cells, the fibrous network of keratin intermediate filaments was disrupted, and the nuclear structure was lost. This disruption of the keratin cytoskeleton was then shown to cause a statistically significant reduction in cell viability of Vero E6 cells. These results indicate that the presence of NSP15 in host cells leads to a collapse of the keratin cytoskeleton. This cytoskeletal collapse could be a mechanism the virus employs to escape the infected host cell via cell lysis, once significant amounts of viral protein and progeny have accumulated.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
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 score0.164
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.239
Teacher spread0.232 · 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 teacher head, not a consensus.

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
Published2025
Admission routes1
Has abstractyes

Explore more

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