ArticleMolecular therapy oncolytics2020
Programmable Synthetic Protein Circuits for the Identification and Suppression of Hepatocellular Carcinoma.
Article in Molecular therapy oncolytics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Engineering principles for rationally design therapeutic strategies against hepatocellular carcinoma.Frontiers in molecular biosciences · 2024Review
- Engineered Bacteria-Based Living Materials for Biotherapeutic Applications.Frontiers in bioengineering and biotechnology · 2022Review
- RNA Therapeutic Options to Manage Aberrant Signaling Pathways in Hepatocellular Carcinoma: Dream or Reality?Frontiers in oncology · 2022Review
- Elevated Stratifin promotes cisplatin-based chemotherapy failure and poor prognosis in non-small cell lung cancer.Molecular therapy oncolytics · 2021Article
- Chimeric RNA-binding protein-based killing switch targeting hepatocellular carcinoma cells.Molecular therapy. Nucleic acids · 2021Article
- Basic approaches, challenges and opportunities for the discovery of small molecule anti-tumor drugs.American journal of cancer research · 2021Review
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Precisely identifying and killing tumor cells are diligent pursuits in oncotherapy. Synthesized gene circuits have emerged as an intelligent weapon to solve these problems. Gene circuits based on post-transcriptional regulation enable a faster response than systems based on transcriptional regulation, which requires transcription and translation, showing superior safety. In this study, synthetic-promoter-free gene circuits possessing two control layers were constructed to improve the specific recognition of tumor cells. Using split-TEV, we designed and verified the basic control layer of protein-protein interaction (PPI) sensing. Another orthogonal control layer was built to sense specific proteins. Two layers were integrated to generate gene circuits sensing both PPI and specific proteins, forming 10 logic gates. To demonstrate the utility of this system, the circuit was engineered to sense alpha-fetoprotein (AFP) expression and the PPI between YAP and 14-3-3σ, the matching profile of hepatocellular carcinoma (HCC). Gene-circuit-loaded cells distinguished HCC from other cells and released therapeutic antibodies, exhibiting
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Registered trials
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