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Record W4408213337 · doi:10.1021/acs.nanolett.5c00285

A Semiconducting Polymer NanoCRISPR for Near-Infrared Photoactivatable Gene Editing and Cancer Gene Therapy

2025· article· en· W4408213337 on OpenAlexaff
Yue Liu, Fei Li, Yan Lyu, Fengshuo Wang, Leo Tsz On Lee, Shasha He, Zhong Guo, Jingchao Li

Bibliographic record

VenueNano Letters · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsHealth Sciences Centre
FundersFundamental Research Funds for the Central UniversitiesScience and Technology Commission of Shanghai MunicipalityDonghua UniversityFundo para o Desenvolvimento das Ciências e da TecnologiaUniversidade de MacauNational Natural Science Foundation of ChinaNatural Science Foundation of Xiamen City
KeywordsGeneGenetic enhancementPolymerInfraredCancerCancer researchBiologyGeneticsNanotechnologyMedicineComputational biologyChemistryMaterials sciencePhysicsOpticsOrganic chemistry

Abstract

fetched live from OpenAlex

Clustered regularly interspaced short palindromic repeat (CRISPR) gene editing has poor efficacy and off-target side effect concerns. We herein report a semiconducting polymer (SP)-based nanoCRISPR system to improve CRISPR delivery efficacy and allow for near-infrared (NIR) photoactivatable gene editing for cancer therapy. An amphiphilic SP acts as a photothermal converter, and its backbone is grafted with single-stranded deoxyribonucleic acid (DNA), which enables hybridization with single guide ribonucleic acid (sgRNA) via complementary base pairing to form sgRNA/SP-DNA. This sgRNA/SP-DNA nanosystem (nanoCRISPR) can effectively deliver sgRNA into cells and generate heat under NIR laser irradiation via the photothermal effect. The localized heat triggers the dissociation of single-stranded DNA and sgRNA to control the release of sgRNA, thereby achieving precise regulation of CRISPR activity. This NIR photoactivatable gene editing technology is able to precisely regulate the expression of green fluorescent protein (GFP) and polo-like kinase 1 (PLK1) gene for precision gene therapy.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.037
Threshold uncertainty score0.653

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.009
GPT teacher head0.292
Teacher spread0.284 · 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.

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

Citations8
Published2025
Admission routes1
Has abstractyes

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