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Record W4406420218 · doi:10.1002/ange.202424037

Dendritic Platinum Nanoparticles Shielded by Pt‐S PEGylation as Intracellular Reactors for Bioorthogonal Uncaging Chemistry

2025· article· en· W4406420218 on OpenAlexfundno aff
José I. García-Peiro, M. Carmen Ortega‐Liebana, Catherine Adam, Álvaro Lorente‐Macías, Jana Trávníčková, E. Elizabeth Patton, Paula Guerrero‐López, José Manuel García‐Aznar, José L. Hueso, Jesús Santamaría, Asier Unciti‐Broceta

Bibliographic record

VenueAngewandte Chemie · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsnot available
FundersH2020 Marie Skłodowska-Curie ActionsInstitute of GeneticsAgencia Estatal de InvestigaciónMedical Research CouncilEuropean Research CouncilGobierno de AragónRosetrees TrustEuropean Regional Development FundHorizon 2020 Framework ProgrammeCancer Research UKEngineering and Physical Sciences Research CouncilMelanoma Research Alliance
KeywordsBioorthogonal chemistryPEGylationChemistryIntracellularPlatinumNanoparticlePlatinum nanoparticlesNanotechnologyCombinatorial chemistryBiophysicsCatalysisBiochemistryClick chemistryMaterials sciencePolyethylene glycol

Abstract

fetched live from OpenAlex

Abstract Beyond their classical role as cytotoxics, Platinum (Pt) coordination complexes recently joined the selected group of transition metals capable of performing bioorthogonal reactions in living environments. To minimize their reactivity towards nucleophiles, which limit their catalytic performance, we investigated the use of Pt(0) with different forms, sizes and surface functionalization. We report herein the development of PEGylated Pt nanodendrites with the capacity to activate prodyes and prodrugs in cell culture and in vivo. Their dendritic morphology together with their surface shielding through Pt−S‐bonded PEGylation synergistically contributed to create catalytic nanoreactors compatible with the highly‐crowded and reductive environment of the cell cytoplasm, thereby facilitating in situ bioorthogonal drug uncaging in cancer cells in 2D and 3D culture, including in microfluidic systems, and xenografted in zebrafish.

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 score0.002

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)0.0010.000

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 head0.008
GPT teacher head0.262
Teacher spread0.254 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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