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Record W3097019221 · doi:10.1016/j.celrep.2020.108318

A Broad Response to Intracellular Long-Chain Polyphosphate in Human Cells

2020· article· en· W3097019221 on OpenAlexafffund
Emma Bondy‐Chorney, Iryna Abramchuk, Rawan Nasser, Charlotte Holinier, Alix Denoncourt, Kanchi Baijal, Liam McCarthy, Mireille Khacho, Mathieu Lavallée‐Adam, Michael Downey

Bibliographic record

VenueCell Reports · 2020
Typearticle
Languageen
FieldMedicine
TopicCoagulation, Bradykinin, Polyphosphates, and Angioedema
Canadian institutionsUniversity of Ottawa
FundersCanadian Institutes of Health Research
KeywordsProteomeTranscriptomeCell biologyBiologyRNAIntracellularPolyphosphateBiochemistryEctopic expressionSignal transductionGene expressionGene

Abstract

fetched live from OpenAlex

Polyphosphates (polyPs) are long chains of inorganic phosphates linked by phosphoanhydride bonds. They are found in all kingdoms of life, playing roles in cell growth, infection, and blood coagulation. Unlike in bacteria and lower eukaryotes, the mammalian enzymes responsible for polyP metabolism are largely unexplored. We use RNA sequencing (RNA-seq) and mass spectrometry to define a broad impact of polyP produced inside of mammalian cells via ectopic expression of the E. coli polyP synthetase PPK. We find that multiple cellular compartments can support accumulation of polyP to high levels. Overproduction of polyP is associated with reprogramming of both the transcriptome and proteome, including activation of the ERK1/2-EGR1 signaling axis. Finally, fractionation analysis shows that polyP accumulation results in relocalization of nuclear/cytoskeleton proteins, including targets of non-enzymatic lysine polyphosphorylation. Our work demonstrates that internally produced polyP can activate diverse signaling pathways in human cells.

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 score0.003
Threshold uncertainty score0.010

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)0.0030.001

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 head0.016
GPT teacher head0.257
Teacher spread0.241 · 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

Citations61
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueCell ReportsSame topicCoagulation, Bradykinin, Polyphosphates, and AngioedemaFrench-language works237,207