Literature DB >> 27385823

Cellular heterogeneity mediates inherent sensitivity-specificity tradeoff in cancer targeting by synthetic circuits.

Mathieu Morel1, Roman Shtrahman2, Varda Rotter3, Lior Nissim4, Roy H Bar-Ziv5.   

Abstract

Synthetic gene circuits are emerging as a versatile means to target cancer with enhanced specificity by combinatorial integration of multiple expression markers. Such circuits must also be tuned to be highly sensitive because escape of even a few cells might be detrimental. However, the error rates of decision-making circuits in light of cellular variability in gene expression have so far remained unexplored. Here, we measure the single-cell response function of a tunable logic AND gate acting on two promoters in heterogeneous cell populations. Our analysis reveals an inherent tradeoff between specificity and sensitivity that is controlled by the AND gate amplification gain and activation threshold. We implement a tumor-mimicking cell-culture model of cancer cells emerging in a background of normal ones, and show that molecular parameters of the synthetic circuits control specificity and sensitivity in a killing assay. This suggests that, beyond the inherent tradeoff, synthetic circuits operating in a heterogeneous environment could be optimized to efficiently target malignant state with minimal loss of specificity.

Entities:  

Keywords:  cancer gene therapy; cell-state targeting; cellular heterogeneity; mammalian synthetic biology; synthetic gene circuits

Mesh:

Substances:

Year:  2016        PMID: 27385823      PMCID: PMC4961148          DOI: 10.1073/pnas.1604391113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  41 in total

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8.  A synthetic biology framework for programming eukaryotic transcription functions.

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Review 10.  Tumour heterogeneity and cancer cell plasticity.

Authors:  Corbin E Meacham; Sean J Morrison
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3.  Building with intent: technologies and principles for engineering mammalian cell-based therapies to sense and respond.

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4.  Synthetic RNA-Based Immunomodulatory Gene Circuits for Cancer Immunotherapy.

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6.  Oncolytic adenovirus programmed by synthetic gene circuit for cancer immunotherapy.

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7.  Programmable Synthetic Protein Circuits for the Identification and Suppression of Hepatocellular Carcinoma.

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Review 8.  Synthetic Gene Expression Circuits for Designing Precision Tools in Oncology.

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  8 in total

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