{"doi":"10.1158/0008-5472.c.6498144.v1","title":"Data from Imaging Transgene Activity &lt;i&gt;In vivo&lt;/i&gt;","abstract":"&lt;div&gt;Abstract&lt;p&gt;The successful translation of gene therapy for clinical application will require the assessment of transgene activity as a measure of the biological function of a therapeutic transgene. Although current imaging permits the noninvasive detection of transgene expression, the critical need for quantitative imaging of the action of the expressed transgene has not been met. &lt;i&gt;In vivo&lt;/i&gt; magnetic resonance spectroscopic imaging (MRSI) was applied to quantitatively delineate both the concentration and activity of a cytosine deaminase–uracil phosphoribosyltransferase (CD-UPRT) fusion enzyme expressed from a transgene. MRSI enabled the generation of anatomically accurate maps of the intratumoral heterogeneity in fusion enzyme activity. We observed an excellent association between the CD-UPRT concentration and activity and the percentage of CD-UPRT&lt;sup&gt;+&lt;/sup&gt; cells. Moreover, the regional levels of UPRT activity, as measured by imaging, correlated well with the biological affect of the enzyme. This study presents a translational imaging paradigm for precise, &lt;i&gt;in vivo&lt;/i&gt; measurements of transgene activity with potential applications in both preclinical and clinical settings. [Cancer Res 2008;68(8):2878–84]&lt;/p&gt;&lt;/div&gt;","journal":null,"year":2023,"id":404175,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9153,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":478743,"name":"Jason A. Koutcher","orcid":"0000-0002-1399-5065","position":1,"is_corresponding":false},{"id":977385,"name":"William M. Spees","orcid":"0000-0002-9735-3106","position":2,"is_corresponding":false},{"id":483153,"name":"Bradley J. Beattie","orcid":"0000-0001-9891-8271","position":3,"is_corresponding":false},{"id":1181645,"name":"V. Yu. Ponomarev","orcid":"0000-0002-3353-942X","position":4,"is_corresponding":false},{"id":1182056,"name":"Michael Doubrovin","orcid":null,"position":5,"is_corresponding":false},{"id":1181646,"name":"Ian M. Buchanan","orcid":"0009-0006-5420-9477","position":6,"is_corresponding":false},{"id":1182057,"name":"Tatiana Beresten","orcid":null,"position":7,"is_corresponding":false},{"id":784065,"name":"Kristen L. Zakian","orcid":null,"position":8,"is_corresponding":false},{"id":1182058,"name":"H. Carl Le","orcid":null,"position":9,"is_corresponding":false},{"id":1182059,"name":"William P. Tong","orcid":null,"position":10,"is_corresponding":false},{"id":481700,"name":"Philipp Mayer‐Kuckuk","orcid":null,"position":11,"is_corresponding":false},{"id":447114,"name":"Ronald G. Blasberg","orcid":"0000-0003-4580-2042","position":12,"is_corresponding":false},{"id":527025,"name":"Juri G. Gelovani","orcid":"0000-0002-8413-6161","position":13,"is_corresponding":false},{"id":255607,"name":"T. Gade","orcid":"0000-0001-8783-0661","position":0,"is_corresponding":true}],"reference_count":25,"raw_metadata":null,"created_at":"2026-07-19T01:20:40.264741Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}