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Bouvard J, Douarche C, Mergaert P, Auradou H, Moisy F. Direct measurement of the aerotactic response in a bacterial suspension. Phys Rev E 2022; 106:034404. [PMID: 36266851 DOI: 10.1103/physreve.106.034404] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Accepted: 07/29/2022] [Indexed: 06/16/2023]
Abstract
Aerotaxis is the ability of motile cells to navigate toward oxygen. A key question is the dependence of the aerotactic velocity with the local oxygen concentration c. Here we combine simultaneous bacteria tracking and local oxygen concentration measurements using Ruthenium encapsulated in micelles to characterize the aerotactic response of Burkholderia contaminans, a motile bacterium ubiquitous in the environment. In our experiments, an oxygen gradient is produced by the bacterial respiration in a sealed glass capillary permeable to oxygen at one end, producing a bacterial band traveling toward the oxygen source. We compute the aerotactic response χ(c) both at the population scale, from the drift velocity in the bacterial band, and at the bacterial scale, from the angular modulation of the run times. Both methods are consistent with a power-law χ∝c^{-2}, in good agreement with existing models based on the biochemistry of bacterial membrane receptors.
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Affiliation(s)
- J Bouvard
- Université Paris-Saclay, CNRS, FAST, 91405, Orsay, France
| | - C Douarche
- Université Paris-Saclay, CNRS, FAST, 91405, Orsay, France
| | - P Mergaert
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198, Gif-sur-Yvette, France
| | - H Auradou
- Université Paris-Saclay, CNRS, FAST, 91405, Orsay, France
| | - F Moisy
- Université Paris-Saclay, CNRS, FAST, 91405, Orsay, France
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2
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Akolpoglu MB, Dogan NO, Bozuyuk U, Ceylan H, Kizilel S, Sitti M. High-Yield Production of Biohybrid Microalgae for On-Demand Cargo Delivery. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2020; 7:2001256. [PMID: 32832367 PMCID: PMC7435244 DOI: 10.1002/advs.202001256] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Indexed: 05/06/2023]
Abstract
Biohybrid microswimmers exploit the swimming and navigation of a motile microorganism to target and deliver cargo molecules in a wide range of biomedical applications. Medical biohybrid microswimmers suffer from low manufacturing yields, which would significantly limit their potential applications. In the present study, a biohybrid design strategy is reported, where a thin and soft uniform coating layer is noncovalently assembled around a motile microorganism. Chlamydomonas reinhardtii (a single-cell green alga) is used in the design as a biological model microorganism along with polymer-nanoparticle matrix as the synthetic component, reaching a manufacturing efficiency of ≈90%. Natural biopolymer chitosan is used as a binder to efficiently coat the cell wall of the microalgae with nanoparticles. The soft surface coating does not impair the viability and phototactic ability of the microalgae, and allows further engineering to accommodate biomedical cargo molecules. Furthermore, by conjugating the nanoparticles embedded in the thin coating with chemotherapeutic doxorubicin by a photocleavable linker, on-demand delivery of drugs to tumor cells is reported as a proof-of-concept biomedical demonstration. The high-throughput strategy can pave the way for the next-generation generation microrobotic swarms for future medical active cargo delivery tasks.
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Affiliation(s)
- Mukrime Birgul Akolpoglu
- Physical Intelligence DepartmentMax Planck Institute for Intelligent SystemsStuttgart70569Germany
| | - Nihal Olcay Dogan
- Physical Intelligence DepartmentMax Planck Institute for Intelligent SystemsStuttgart70569Germany
- Chemical and Biological Engineering DepartmentKoç UniversityIstanbul34450Turkey
| | - Ugur Bozuyuk
- Physical Intelligence DepartmentMax Planck Institute for Intelligent SystemsStuttgart70569Germany
| | - Hakan Ceylan
- Physical Intelligence DepartmentMax Planck Institute for Intelligent SystemsStuttgart70569Germany
| | - Seda Kizilel
- Chemical and Biological Engineering DepartmentKoç UniversityIstanbul34450Turkey
| | - Metin Sitti
- Physical Intelligence DepartmentMax Planck Institute for Intelligent SystemsStuttgart70569Germany
- School of Medicine and School of EngineeringKoç UniversityIstanbul34450Turkey
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3
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Zhuang J, Park B, Sitti M. Propulsion and Chemotaxis in Bacteria-Driven Microswimmers. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2017; 4:1700109. [PMID: 28932674 PMCID: PMC5604384 DOI: 10.1002/advs.201700109] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Revised: 04/24/2017] [Indexed: 05/21/2023]
Abstract
Despite the large body of experimental work recently on biohybrid microsystems, few studies have focused on theoretical modeling of such systems, which is essential to understand their underlying functioning mechanisms and hence design them optimally for a given application task. Therefore, this study focuses on developing a mathematical model to describe the 3D motion and chemotaxis of a type of widely studied biohybrid microswimmer, where spherical microbeads are driven by multiple attached bacteria. The model is developed based on the biophysical observations of the experimental system and is validated by comparing the model simulation with experimental 3D swimming trajectories and other motility characteristics, including mean squared displacement, speed, diffusivity, and turn angle. The chemotaxis modeling results of the microswimmers also agree well with the experiments, where a collective chemotactic behavior among multiple bacteria is observed. The simulation result implies that such collective chemotaxis behavior is due to a synchronized signaling pathway across the bacteria attached to the same microswimmer. Furthermore, the dependencies of the motility and chemotaxis of the microswimmers on certain system parameters, such as the chemoattractant concentration gradient, swimmer body size, and number of attached bacteria, toward an optimized design of such biohybrid system are studied. The optimized microswimmers would be used in targeted cargo, e.g., drug, imaging agent, gene, and RNA, transport and delivery inside the stagnant or low-velocity fluids of the human body as one of their potential biomedical applications.
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Affiliation(s)
- Jiang Zhuang
- Physical Intelligence DepartmentMax Planck Institute for Intelligent Systems70569StuttgartGermany
- Department of Mechanical EngineeringCarnegie Mellon UniversityPittsburghPA15213USA
| | - Byung‐Wook Park
- Physical Intelligence DepartmentMax Planck Institute for Intelligent Systems70569StuttgartGermany
| | - Metin Sitti
- Physical Intelligence DepartmentMax Planck Institute for Intelligent Systems70569StuttgartGermany
- Department of Mechanical EngineeringCarnegie Mellon UniversityPittsburghPA15213USA
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Koorehdavoudi H, Bogdan P, Wei G, Marculescu R, Zhuang J, Carlsen RW, Sitti M. Multi-fractal characterization of bacterial swimming dynamics: a case study on real and simulated Serratia marcescens. Proc Math Phys Eng Sci 2017; 473:20170154. [PMID: 28804259 PMCID: PMC5549567 DOI: 10.1098/rspa.2017.0154] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Accepted: 06/15/2017] [Indexed: 12/19/2022] Open
Abstract
To add to the current state of knowledge about bacterial swimming dynamics, in this paper, we study the fractal swimming dynamics of populations of Serratia marcescens bacteria both in vitro and in silico, while accounting for realistic conditions like volume exclusion, chemical interactions, obstacles and distribution of chemoattractant in the environment. While previous research has shown that bacterial motion is non-ergodic, we demonstrate that, besides the non-ergodicity, the bacterial swimming dynamics is multi-fractal in nature. Finally, we demonstrate that the multi-fractal characteristic of bacterial dynamics is strongly affected by bacterial density and chemoattractant concentration.
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Affiliation(s)
- Hana Koorehdavoudi
- Department of Aerospace and Mechanical Engineering, University of Southern California, Los Angeles, CA 90089-1453, USA
| | - Paul Bogdan
- Department of Electrical Engineering, University of Southern California, Los Angeles, CA 90089-2560, USA
| | - Guopeng Wei
- Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Radu Marculescu
- Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Jiang Zhuang
- Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Rika Wright Carlsen
- Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA.,Department of Engineering, Robert Morris University, Pittsburgh, PA 15108, USA
| | - Metin Sitti
- Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA.,Physical Intelligence Department, Max-Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany
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Bioengineered and biohybrid bacteria-based systems for drug delivery. Adv Drug Deliv Rev 2016; 106:27-44. [PMID: 27641944 DOI: 10.1016/j.addr.2016.09.007] [Citation(s) in RCA: 208] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2016] [Revised: 09/08/2016] [Accepted: 09/12/2016] [Indexed: 12/14/2022]
Abstract
The use of bacterial cells as agents of medical therapy has a long history. Research that was ignited over a century ago with the accidental infection of cancer patients has matured into a platform technology that offers the promise of opening up new potential frontiers in medical treatment. Bacterial cells exhibit unique characteristics that make them well-suited as smart drug delivery agents. Our ability to genetically manipulate the molecular machinery of these cells enables the customization of their therapeutic action as well as its precise tuning and spatio-temporal control, allowing for the design of unique, complex therapeutic functions, unmatched by current drug delivery systems. Early results have been promising, but there are still many important challenges that must be addressed. We present a review of promises and challenges of employing bioengineered bacteria in drug delivery systems and introduce the biohybrid design concept as a new additional paradigm in bacteria-based drug delivery.
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Singh AV, Sitti M. Patterned and Specific Attachment of Bacteria on Biohybrid Bacteria-Driven Microswimmers. Adv Healthc Mater 2016; 5:2325-31. [PMID: 27240122 DOI: 10.1002/adhm.201600155] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2016] [Revised: 04/14/2016] [Indexed: 11/06/2022]
Abstract
A surface patterning technique and a specific and strong biotin-streptavidin bonding of bacteria on patterned surfaces are proposed to fabricate Janus particles that are propelled by the attached bacteria. Bacteria-driven Janus microswimmers with diameters larger than 3 μm show enhanced mean propulsion speed. Such microswimmers could be used for future applications such as targeted drug delivery and environmental remediation.
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Affiliation(s)
- Ajay Vikram Singh
- Physical Intelligence Department; Max Planck Institute for Intelligent Systems; Heisenbergstr. 3 70569 Stuttgart Germany
| | - Metin Sitti
- Physical Intelligence Department; Max Planck Institute for Intelligent Systems; Heisenbergstr. 3 70569 Stuttgart Germany
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Chemotaxis of bio-hybrid multiple bacteria-driven microswimmers. Sci Rep 2016; 6:32135. [PMID: 27555465 PMCID: PMC4995368 DOI: 10.1038/srep32135] [Citation(s) in RCA: 81] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2016] [Accepted: 08/03/2016] [Indexed: 11/16/2022] Open
Abstract
In this study, in a bio-hybrid microswimmer system driven by multiple Serratia marcescens bacteria, we quantify the chemotactic drift of a large number of microswimmers towards L-serine and elucidate the associated collective chemotaxis behavior by statistical analysis of over a thousand swimming trajectories of the microswimmers. The results show that the microswimmers have a strong heading preference for moving up the L-serine gradient, while their speed does not change considerably when moving up and down the gradient; therefore, the heading bias constitutes the major factor that produces the chemotactic drift. The heading direction of a microswimmer is found to be significantly more persistent when it moves up the L-serine gradient than when it travels down the gradient; this effect causes the apparent heading preference of the microswimmers and is the crucial reason that enables the seemingly cooperative chemotaxis of multiple bacteria on a microswimmer. In addition, we find that their chemotactic drift velocity increases superquadratically with their mean swimming speed, suggesting that chemotaxis of bio-hybrid microsystems can be enhanced by designing and building faster microswimmers. Such bio-hybrid microswimmers with chemotactic steering capability may find future applications in targeted drug delivery, bioengineering, and lab-on-a-chip devices.
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Koorehdavoudi H, Bogdan P. A Statistical Physics Characterization of the Complex Systems Dynamics: Quantifying Complexity from Spatio-Temporal Interactions. Sci Rep 2016; 6:27602. [PMID: 27297496 PMCID: PMC4906350 DOI: 10.1038/srep27602] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2016] [Accepted: 05/20/2016] [Indexed: 12/28/2022] Open
Abstract
Biological systems are frequently categorized as complex systems due to their capabilities of generating spatio-temporal structures from apparent random decisions. In spite of research on analyzing biological systems, we lack a quantifiable framework for measuring their complexity. To fill this gap, in this paper, we develop a new paradigm to study a collective group of N agents moving and interacting in a three-dimensional space. Our paradigm helps to identify the spatio-temporal states of the motion of the group and their associated transition probabilities. This framework enables the estimation of the free energy landscape corresponding to the identified states. Based on the energy landscape, we quantify missing information, emergence, self-organization and complexity for a collective motion. We show that the collective motion of the group of agents evolves to reach the most probable state with relatively lowest energy level and lowest missing information compared to other possible states. Our analysis demonstrates that the natural group of animals exhibit a higher degree of emergence, self-organization and complexity over time. Consequently, this algorithm can be integrated into new frameworks to engineer collective motions to achieve certain degrees of emergence, self-organization and complexity.
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Affiliation(s)
- Hana Koorehdavoudi
- Department of Aerospace and Mechanical Engineering, University of Southern California, Los Angeles, CA 90089-1453, USA
| | - Paul Bogdan
- Department of Electrical Engineering, University of Southern California, Los Angeles, CA 90089-2560, USA
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Huh K, Oh D, Son SY, Yoo HJ, Song B, Cho DID, Seo JM, Kim SJ. Laminar flow assisted anisotropic bacteria absorption for chemotaxis delivery of bacteria-attached microparticle. MICRO AND NANO SYSTEMS LETTERS 2016. [DOI: 10.1186/s40486-016-0026-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
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10
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Zhuang J, Wright Carlsen R, Sitti M. pH-Taxis of Biohybrid Microsystems. Sci Rep 2015; 5:11403. [PMID: 26073316 PMCID: PMC4466791 DOI: 10.1038/srep11403] [Citation(s) in RCA: 68] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2015] [Accepted: 05/06/2015] [Indexed: 11/17/2022] Open
Abstract
The last decade has seen an increasing number of studies developing bacteria and other cell-integrated biohybrid microsystems. However, the highly stochastic motion of these microsystems severely limits their potential use. Here, we present a method that exploits the pH sensing of flagellated bacteria to realize robust drift control of multi-bacteria propelled microrobots. Under three specifically configured pH gradients, we demonstrate that the microrobots exhibit both unidirectional and bidirectional pH-tactic behaviors, which are also observed in free-swimming bacteria. From trajectory analysis, we find that the swimming direction and speed biases are two major factors that contribute to their tactic drift motion. The motion analysis of microrobots also sheds light on the propulsion dynamics of the flagellated bacteria as bioactuators. It is expected that similar driving mechanisms are shared among pH-taxis, chemotaxis, and thermotaxis. By identifying the mechanism that drives the tactic behavior of bacteria-propelled microsystems, this study opens up an avenue towards improving the control of biohybrid microsystems. Furthermore, assuming that it is possible to tune the preferred pH of bioactuators by genetic engineering, these biohybrid microsystems could potentially be applied to sense the pH gradient induced by cancerous cells in stagnant fluids inside human body and realize targeted drug delivery.
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Affiliation(s)
- Jiang Zhuang
- Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Rika Wright Carlsen
- 1] Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA [2] Department of Engineering, Robert Morris University, Pittsburgh, PA 15108, USA
| | - Metin Sitti
- 1] Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA [2] Max Planck Institute for Intelligent Systems, Stuttgart 70569, Germany
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