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Didovyk A, Kanakov OI, Ivanchenko MV, Hasty J, Huerta R, Tsimring L. Distributed classifier based on genetically engineered bacterial cell cultures. ACS Synth Biol 2015; 4:72-82. [PMID: 25349924 PMCID: PMC4304444 DOI: 10.1021/sb500235p] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
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We
describe a conceptual design of a distributed classifier formed
by a population of genetically engineered microbial cells. The central
idea is to create a complex classifier from a population of weak or
simple classifiers. We create a master population of cells with randomized
synthetic biosensor circuits that have a broad range of sensitivities
toward chemical signals of interest that form the input vectors subject
to classification. The randomized sensitivities are achieved by constructing
a library of synthetic gene circuits with randomized control sequences
(e.g., ribosome-binding sites) in the front element. The training
procedure consists in reshaping of the master population in such a
way that it collectively responds to the “positive”
patterns of input signals by producing above-threshold output (e.g.,
fluorescent signal), and below-threshold output in case of the “negative”
patterns. The population reshaping is achieved by presenting sequential
examples and pruning the population using either graded selection/counterselection
or by fluorescence-activated cell sorting (FACS). We demonstrate the
feasibility of experimental implementation of such system computationally
using a realistic model of the synthetic sensing gene circuits.
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Affiliation(s)
- Andriy Didovyk
- BioCircuits Institute, ‡Department of Bioengineering, §Molecular Biology Section,
Division
of Biological Science, University of California San Diego, La Jolla, California 92093, United States
- Department of Radiophysics, ⊥Department for Bioinformatics, Lobachevsky State University of Nizhniy Novgorod, Nizhniy Novgorod, Russia
| | - Oleg I. Kanakov
- BioCircuits Institute, ‡Department of Bioengineering, §Molecular Biology Section,
Division
of Biological Science, University of California San Diego, La Jolla, California 92093, United States
- Department of Radiophysics, ⊥Department for Bioinformatics, Lobachevsky State University of Nizhniy Novgorod, Nizhniy Novgorod, Russia
| | - Mikhail V. Ivanchenko
- BioCircuits Institute, ‡Department of Bioengineering, §Molecular Biology Section,
Division
of Biological Science, University of California San Diego, La Jolla, California 92093, United States
- Department of Radiophysics, ⊥Department for Bioinformatics, Lobachevsky State University of Nizhniy Novgorod, Nizhniy Novgorod, Russia
| | - Jeff Hasty
- BioCircuits Institute, ‡Department of Bioengineering, §Molecular Biology Section,
Division
of Biological Science, University of California San Diego, La Jolla, California 92093, United States
- Department of Radiophysics, ⊥Department for Bioinformatics, Lobachevsky State University of Nizhniy Novgorod, Nizhniy Novgorod, Russia
| | - Ramón Huerta
- BioCircuits Institute, ‡Department of Bioengineering, §Molecular Biology Section,
Division
of Biological Science, University of California San Diego, La Jolla, California 92093, United States
- Department of Radiophysics, ⊥Department for Bioinformatics, Lobachevsky State University of Nizhniy Novgorod, Nizhniy Novgorod, Russia
| | - Lev Tsimring
- BioCircuits Institute, ‡Department of Bioengineering, §Molecular Biology Section,
Division
of Biological Science, University of California San Diego, La Jolla, California 92093, United States
- Department of Radiophysics, ⊥Department for Bioinformatics, Lobachevsky State University of Nizhniy Novgorod, Nizhniy Novgorod, Russia
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Currie J, Castro M, Lythe G, Palmer E, Molina-París C. A stochastic T cell response criterion. J R Soc Interface 2012; 9:2856-70. [PMID: 22745227 PMCID: PMC3479899 DOI: 10.1098/rsif.2012.0205] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
The adaptive immune system relies on different cell types to provide fast and coordinated responses, characterized by recognition of pathogenic challenge, extensive cellular proliferation and differentiation, as well as death. T cells are a subset of the adaptive immune cellular pool that recognize immunogenic peptides expressed on the surface of antigen-presenting cells by means of specialized receptors on their membrane. T cell receptor binding to ligand determines T cell responses at different times and locations during the life of a T cell. Current experimental evidence provides support to the following: (i) sufficiently long receptor–ligand engagements are required to initiate the T cell signalling cascade that results in productive signal transduction and (ii) counting devices are at work in T cells to allow signal accumulation, decoding and translation into biological responses. In the light of these results, we explore, with mathematical models, the timescales associated with T cell responses. We consider two different criteria: a stochastic one (the mean time it takes to have had N receptor–ligand complexes bound for at least a dwell time, τ, each) and one based on equilibrium (the time to reach a threshold number N of receptor–ligand complexes). We have applied mathematical models to previous experiments in the context of thymic negative selection and to recent two-dimensional experiments. Our results indicate that the stochastic criterion provides support to the thymic affinity threshold hypothesis, whereas the equilibrium one does not, and agrees with the ligand hierarchy experimentally established for thymic negative selection.
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Affiliation(s)
- James Currie
- Department of Applied Mathematics, School of Mathematics, University of Leeds, Leeds LS2 9JT, UK
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4
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Tatari-Calderone Z, Stojakovic M, Dewan R, Le Bouder G, Jankovic D, Vukmanovic S. Age-related accumulation of T cells with markers of relatively stronger autoreactivity leads to functional erosion of T cells. BMC Immunol 2012; 13:8. [PMID: 22321827 PMCID: PMC3305419 DOI: 10.1186/1471-2172-13-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2011] [Accepted: 02/09/2012] [Indexed: 11/10/2022] Open
Abstract
Background Thymic involution is a prominent characteristic of an aging immune system. When thymic function is reduced/absent, the peripheral T cell pool is subject to the laws of peripheral T cell homeostasis that favor survival/expansion of T cell receptors with relatively higher functional avidity for self-peptide/MHC complexes. Due to difficulties in assessing the TCR avidity in polyclonal population of T cells, it is currently not known whether high avidity T cells preferentially survive in aging individuals, and what impact this might have on the function of the immune system and development of autoimmune diseases. Results The phenotype of T cells from aged mice (18-24 months) indicating functional TCR avidity (CD3 and CD5 expression) correlates with the level of preserved thymic function. In mice with moderate thymic output (> 30% of peripheral CD62Lhi T cells), T cells displayed CD3lowCD5hi phenotype characteristic for high functional avidity. In old mice with drastically low numbers of CD62Lhi T cells reduced CD5 levels were found. After adult thymectomy, T cells of young mice developed CD3lowCD5hi phenotype, followed by a CD3lowCD5low phenotype. Spleens of old mice with the CD3low/CD5hi T cell phenotype displayed increased levels of IL-10 mRNA, and their T cells could be induced to secrete IL-10 in vitro. In contrast, downmodulation of CD5 was accompanied with reduced IL-10 expression and impaired anti-CD3 induced proliferation. Irrespective of the CD3/CD5 phenotype, reduced severity of experimental allergic myelitis occurred in old mice. In MTB TCRβ transgenic mice that display globally elevated TCR avidity for self peptide/MHC, identical change patterns occurred, only at an accelerated pace. Conclusions These findings suggest that age-associated dysfunctions of the immune system could in part be due to functional erosion of T cells devised to protect the hosts from the prolonged exposure to T cells with high-avidity for self.
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Affiliation(s)
- Zohreh Tatari-Calderone
- Center for Cancer and Immunology Research, Children's Research Institute, Washington, DC, USA
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5
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Stojakovic M, Tatari-Calderone Z, Maric C, Hoang A, Vukmanovic S. Paradoxical arrest in lupus activity in BXSB mice with highly autoreactive T cells. Lupus 2009; 19:182-91. [PMID: 19946033 DOI: 10.1177/0961203309350756] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
T cells with high avidity for antigens are thought to mediate more effective immunity against foreign antigens and cause more severe autoimmunity. The impact of T cell receptor (TCR) avidity on the development of lupus has not been investigated. We took advantage of a transgenic mouse strain (designated MTB) that has a diverse T cell population and a globally stronger reactivity to self. [MTBxBXSB]F1 mice displayed accelerated lupus relative to the [WTxBXSB]F1 controls. The severity of lupus and the activation of T cells subsided with aging, when elevated IL-10 production by Tr1 cells was observed. Thus, chronic high avidity interactions of T cells with self-antigens can lead to an age associated increase in IL-10 production. This could explain the age-associated reduction of the incidence of lupus, as well as other autoimmune diseases. Furthermore, the principle of Tr1 differentiation based on diverse T cells with high avidity for self may potentially be used as a therapeutic strategy in the treatment of lupus.
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Affiliation(s)
- M Stojakovic
- Center for Cancer and Immunology Research, Children's Research Institute, Children's National Medical Center, Washington, DC 20010-2970, USA
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Maric M, Barjaktarevic I, Bogunovic B, Stojakovic M, Maric C, Vukmanovic S. Cutting Edge: Developmental Up-Regulation of IFN-γ-Inducible Lysosomal Thiol Reductase Expression Leads to Reduced T Cell Sensitivity and Less Severe Autoimmunity. THE JOURNAL OF IMMUNOLOGY 2009; 182:746-50. [DOI: 10.4049/jimmunol.182.2.746] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
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Brumlik MJ, Daniel BJ, Waehler R, Curiel DT, Giles FJ, Curiel TJ. Trends in immunoconjugate and ligand-receptor based targeting development for cancer therapy. Expert Opin Drug Deliv 2007; 5:87-103. [DOI: 10.1517/17425247.5.1.87] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
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Abstract
Tumors express antigens that should induce immune-mediated rejection, but spontaneous rejection of established tumors is rare. Recent work demonstrates that one reason for the lack of tumor rejection is that tumors actively defeat host immunity. This concept forces us to rethink current approaches to harnessing potent, specific host immunity to battle cancer, most of which are based on the paradigm that inducing more antitumor immune cells alone is therapeutic. However, as I discuss in this Personal Perspective, a newer paradigm predicts that reducing tumor-driven immune suppression will be clinically beneficial. CD4+CD25+ Tregs are one mechanism of tumor-driven immune evasion that provide prototypical targets for testing novel anticancer treatment strategies within the newer paradigm.
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Affiliation(s)
- Tyler J Curiel
- San Antonio Cancer Institute, University of Texas Health Sciences Center, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA.
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