scholarly journals Synthesis and patterning of tunable multiscale materials with engineered cells

2014 ◽  
Author(s):  
Allen Y Chen ◽  
Urartu O.S. Seker ◽  
Michelle Y Lu ◽  
Robert J Citorik ◽  
Timothy Lu
Keyword(s):  
Composite Materials ◽  
Materials Science ◽  
Biological Systems ◽  
Inorganic Materials ◽  
Length Scales ◽  
Multiscale Materials ◽  
Self Assembling ◽  
Multiple Length Scales ◽  
Synthetic Cell ◽  
Environmentally Responsive

A major challenge in materials science is to create self-assembling, functional, and environmentally responsive materials which can be patterned across multiple length scales. Natural biological systems, such as biofilms, shells, and skeletal tissues, implement dynamic regulatory programs to assemble complex multiscale materials comprised of living and non-living components. Such systems can provide inspiration for the design of heterogeneous functional systems which integrate biotic and abiotic materials via hierarchical self-assembly. Here, we present a synthetic-biology platform for synthesizing and patterning self-assembled functional amyloid materials across multiple length scales with bacterial biofilms. We engineered Escherichia coli curli amyloid production under the tight control of synthetic regulatory circuits and interfaced amyloids with inorganic materials to create a biofilm-based electrical switch whose conductance can be selectively toggled by specific environmental signals. Furthermore, we externally tuned synthetic biofilms to build nanoscale amyloid biomaterials with different structure and composition through the controlled expression of their constituent subunits with artificial gene circuits. By using synthetic cell-cell communication, our engineered biofilms can also autonomously manufacture dynamic materials whose structure and composition change with time. In addition, we show that by combining subunit-level protein engineering, controlled genetic expression of self-assembling subunit proteins, and macroscale spatial gradients, synthetic biofilms can pattern protein biomaterials across multiple length scales. This work lays a foundation for synthesizing, patterning, and controlling composite materials with engineered biological systems. We envision that this approach can be expanded to other cellular and biomaterials contexts for the construction of self-organizing, environmentally responsive, and tunable multiscale composite materials with heterogeneous functionalities. Now published as: Nature Materials, doi:10.1038/nmat3912

scholarly journals Computationally Efficient, Fully Coupled Multiscale Modeling of Materials Phenomena Using Calibrated Localization Linkages

2012 ◽  
Vol 2012 ◽  
pp. 1-13 ◽  
Author(s):  
Surya R. Kalidindi
Keyword(s):  
Data Science ◽  
Fourier Transforms ◽  
Numerical Models ◽  
Salient Feature ◽  
Computationally Efficient ◽  
Length Scales ◽  
Multiscale Materials ◽  
Materials Modeling ◽  
Multiple Length Scales ◽  
As Stress

Most modern physics-based multiscale materials modeling and simulation tools aim to take into account the important details of the material internal structure at multiple length scales. However, they are extremely computationally expensive. In recent years, a novel data science enabled framework has been formulated for effective scale-bridging that is central to practical multiscaling. A salient feature of this new approach is its ability to capture heterogeneity of fields of interest at different length scales. In this approach, the computations at the mesoscale are handled using a novel data science approach called materials knowledge systems (MKS). The MKS approach has enjoyed tremendous success in building highly accurate and computationally efficient metamodels for localization (i.e., mesoscale spatial distribution of a macroscale imposed field such as stress or strain rate) in simulating a number of different multiscale materials phenomena. MKS derives its accuracy from the fact that it is calibrated to results from previously established numerical models for the phenomena of interest, while its computational efficiency comes from the use of fast Fourier transforms. The current capabilities and the future outlook for the MKS framework are expounded in this paper.

Combinatorial Peptide Libraries for Selecting Inorganic-Binding Proteins: A Step in Molecular Biomimetics

2003 ◽  
Vol 773 ◽  
Author(s):  
C. Tamerler ◽  
S. Dinçer ◽  
D. Heidel ◽  
N. Karagûler ◽  
M. Sarikaya
Keyword(s):  
Binding Proteins ◽  
Building Blocks ◽  
Molecular Engineering ◽  
Inorganic Materials ◽  
Combinatorial Peptide Libraries ◽  
Self Assembling ◽  
Complex Functions ◽  
Recent Developments ◽  
Specific Proteins ◽  
Molecular Biomimetics

AbstractProteins, one of the building blocks in organisms, not only control the assembly in biological systems but also provide most of their complex functions. It may be possible to assemble materials for practical technological applications utilizing the unique advantages provided by proteins. Here we discuss molecular biomimetic pathways in the quest for imitating biology at the molecular scale via protein engineering. We use combinatorial biology protocols to select short polypeptides that have affinity to inorganic materials and use them in assembling novel hybrid materials. We give an overview of some of the recent developments of molecular engineering towards this goal. Inorganic surface specific proteins were identified by using cell surface and phage display technologies. Examples of metal and metal oxide specific polypeptides were represented with an emphasis on certain level of specificities. The recognition and self assembling characteristics of these inorganic-binding proteins would be employed in develeopment of hybrid multifunctional materials for novel bio- and nano-technological applications.

Fracture resistance of human cortical bone across multiple length-scales at physiological strain rates

Biomaterials ◽  
2014 ◽  
Vol 35 (21) ◽  
pp. 5472-5481 ◽  
Author(s):  
Elizabeth A. Zimmermann ◽  
Bernd Gludovatz ◽  
Eric Schaible ◽  
Björn Busse ◽  
Robert O. Ritchie
Keyword(s):  
Cortical Bone ◽  
Fracture Resistance ◽  
Strain Rates ◽  
Physiological Strain ◽  
Length Scales ◽  
Human Cortical Bone ◽  
Multiple Length Scales

Self Assembling Nanostructured Delivery Vehicles for Biochemically Reactive Pairs

1994 ◽  
Vol 351 ◽  
Author(s):  
Nir Kossovsky ◽  
A. Gelman ◽  
H.J. Hnatyszyn ◽  
E. Sponsler ◽  
G.-M. Chow
Keyword(s):  
Physical Properties ◽  
Self Assembly ◽  
Materials Science ◽  
Technology Development ◽  
Biological Behavior ◽  
X Ray Diffraction ◽  
Self Assembling ◽  
Transmission Electron ◽  
Carbon Ceramic

ABSTRACTIntrigued by the deceptive simplicity and beauty of macromolecular self-assembly, our laboratory began studying models of self-assembly using solids, glasses, and colloidal substrates. These studies have defined a fundamental new colloidal material for supporting members of a biochemically reactive pair.The technology, a molecular transportation assembly, is based on preformed carbon ceramic nanoparticles and self assembled calcium-phosphate dihydrate particles to which glassy carbohydrates are then applied as a nanometer thick surface coating. This carbohydrate coated core functions as a dehydroprotectant and stabilizes surface immobilized members of a biochemically reactive pair. The final product, therefore, consists of three layers. The core is comprised of the ceramic, the second layer is the dehydroprotectant carbohydrate adhesive, and the surface layer is the biochemically reactive molecule for which delivery is desired.We have characterized many of the physical properties of this system and have evaluated the utility of this delivery technology in vitro and in animal models. Physical characterization has included standard and high resolution transmission electron microscopy, electron and x-ray diffraction and ζ potential analysis. Functional assays of the ability of the system to act as a nanoscale dehydroprotecting delivery vehicle have been performed on viral antigens, hemoglobin, and insulin. By all measures at present, the favorable physical properties and biological behavior of the molecular transportation assembly point to an exciting new interdisciplinary area of technology development in materials science, chemistry and biology.

Patterning of Soft Matter across Multiple Length Scales

2016 ◽  
Vol 26 (16) ◽  
pp. 2609-2616 ◽  
Author(s):  
Pim van der Asdonk ◽  
Hans C. Hendrikse ◽  
Marcos Fernandez-Castano Romera ◽  
Dion Voerman ◽  
Britta E. I. Ramakers ◽  
...  
Keyword(s):  
Soft Matter ◽  
Length Scales ◽  
Multiple Length Scales

Surface integrity analysis of machined Inconel 718 over multiple length scales

CIRP Annals ◽  
2012 ◽  
Vol 61 (1) ◽  
pp. 99-102 ◽  
Author(s):  
Rachid M'Saoubi ◽  
Tommy Larsson ◽  
José Outeiro ◽  
Yang Guo ◽  
Sergey Suslov ◽  
...  
Keyword(s):  
Surface Integrity ◽  
Inconel 718 ◽  
Length Scales ◽  
Multiple Length Scales ◽  
Integrity Analysis

An Energetic Approach to Modeling Cytoskeletal Architecture in Maturing Cardiomyocytes

2021 ◽  
Author(s):  
William F Sherman ◽  
Mira Asad ◽  
Anna Grosberg
Keyword(s):  
Cardiac Tissue ◽  
Length Scales ◽  
Functional Changes ◽  
Physical Constraints ◽  
Scale Parameters ◽  
Structure And Dynamics ◽  
Energetic Approach ◽  
Cytoskeletal Network ◽  
Multiple Length Scales ◽  
Potential Factors

Abstract Through a variety of mechanisms, a healthy heart is able to regulate its structure and dynamics across multiple length scales. Disruption of these mechanisms can have a cascad- ing effect, resulting in severe structural and/or functional changes that permeate across different length scales. Due to this hierarchical structure, there is interest in understand- ing how the components at the various scales coordinate and influence each other. However, much is unknown regarding how myofibril bundles are organized within a densely packed cell and the influence of the subcellular components on the architecture that is formed. To elucidate potential factors influencing cytoskeletal development, we proposed a compu- tational model that integrated interactions at both the cel- lular and subcelluar scale to predict the location of indi- vidual myofibril bundles that contributed to the formation of an energetically favorable cytoskeletal network. Our model was tested and validated using experimental metrics derived from analyzing single cell cardiomyocytes. We demonstrated that our model-generated networks were capable of repro- ducing the variation observed in experimental cells at different length scales as a result of the stochasticity inher- ent in the different interaction between the various cellu- lar components. Additionally, we showed that incorporat- ing length-scale parameters resulted in physical constraints that directed cytoskeletal architecture towards a structurally consistent motif. Understanding the mechanisms guiding the formation and organization of the cytoskeleton in individual cardiomyocytes can aid tissue engineers towards developing functional cardiac tissue.

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