Matching Items (49)
Description
Solid tumors advance from benign stage to a deadly metastatic state due to the complex interaction between cancer cells and tumor microenvironment (TME) including stromal cells and extracellular matrix (ECM). Multiple studies have demonstrated that ECM dysregulation is one of the critical hallmarks of cancer progression leading to formation of a desmoplastic microenvironment that participates in tumor progression. Cancer associated fibroblasts (CAFs) are the predominant stromal cell type that participates in desmoplasia by depositing matrix proteins and increasing ECM stiffness. Although the influence of matrix stiffness on enhanced tumorigenicity has been well studied, the biological understanding about the dynamic changes in ECM architecture and the role of cancer-stromal cell interaction on ECM remodeling is still limited.
In this dissertation, the primary goal was to develop a comprehensive cellular and molecular level understanding of ECM remodeling due to the interaction of breast tumor cells and CAFs. To that end, a novel three-dimensional (3D) high-density tumor-stroma model was fabricated in which breast tumor cells (MDA-MB-231 and MCF7) were spatially organized surrounded by CAF-embedded collagen-I hydrogel (Aim 1). Further the platform was integrated with atomic force microscopy to assess the dynamic changes in ECM composition and stiffness during active tumor invasion. The results established an essential role of crosstalk between breast tumor cells and CAFs in ECM remodeling. The studies were further extended by dissecting the mode of interaction between tumor cells and CAFs followed by characterization of the role of various tumor secreted factors on ECM remodeling (Aim 2). The results for the first time established a critical role of paracrine signaling between breast tumor cells and CAFs in modulating biophysical properties of ECM. More in-depth analysis highlighted the role of tumor secreted cytokines, specifically PDGF-AA/BB, on CAF-induced desmoplasia. In aim 3, the platform was further utilized to test the synergistic influence of anti-fibrotic drug (tranilast) in conjugation with chemotherapeutic drug (Doxorubicin) on desmoplasia and tumor progression in the presence of CAFs. Overall this dissertation provided an in-depth understanding on the impact of breast cancer-stromal cell interaction in modulating biophysical properties of the ECM and identified the crucial role of tumor secreted cytokines including PDGF-AA/BB on desmoplasia.
In this dissertation, the primary goal was to develop a comprehensive cellular and molecular level understanding of ECM remodeling due to the interaction of breast tumor cells and CAFs. To that end, a novel three-dimensional (3D) high-density tumor-stroma model was fabricated in which breast tumor cells (MDA-MB-231 and MCF7) were spatially organized surrounded by CAF-embedded collagen-I hydrogel (Aim 1). Further the platform was integrated with atomic force microscopy to assess the dynamic changes in ECM composition and stiffness during active tumor invasion. The results established an essential role of crosstalk between breast tumor cells and CAFs in ECM remodeling. The studies were further extended by dissecting the mode of interaction between tumor cells and CAFs followed by characterization of the role of various tumor secreted factors on ECM remodeling (Aim 2). The results for the first time established a critical role of paracrine signaling between breast tumor cells and CAFs in modulating biophysical properties of ECM. More in-depth analysis highlighted the role of tumor secreted cytokines, specifically PDGF-AA/BB, on CAF-induced desmoplasia. In aim 3, the platform was further utilized to test the synergistic influence of anti-fibrotic drug (tranilast) in conjugation with chemotherapeutic drug (Doxorubicin) on desmoplasia and tumor progression in the presence of CAFs. Overall this dissertation provided an in-depth understanding on the impact of breast cancer-stromal cell interaction in modulating biophysical properties of the ECM and identified the crucial role of tumor secreted cytokines including PDGF-AA/BB on desmoplasia.
ContributorsSaini, Harpinder (Author) / Nikkhah, Mehdi (Thesis advisor) / Ros, Robert (Committee member) / LaBaer, Joshua (Committee member) / Kodibagkar, Vikram (Committee member) / Ebrahimkhani, Mohammad (Committee member) / Arizona State University (Publisher)
Created2019
Description
Secondary active transporters play significant roles in maintaining living cells' homeostasis by utilizing the electrochemical gradient in driving ions or protons as the source of free energy to transport substrate through biological membranes.A broadly recognized molecular framework, the alternating access model, describes the transport mechanism as the transporter undergoes conformational changes between different conformations and alternatingly exposes its binding site to intracellular and extracellular sides and, thus, exchanges ion and substrate in a cyclical manner.
Recent progress in structural biology brought the first-ever structural insights into the mammalian Cation-Proton Antiporters (CPA) family of proteins.
However, the dynamic atomic-level information about the interactions between the newly discovered structures and the bound ion or the corresponding substrate remains unknown.
With Molecular Dynamics (MD), multiple spontaneous ion binding events were observed in the equilibrium simulations, revealing the binding site topology of Horse Sodium-Proton Exchanger 9 (NHE9) and Bison Sodium-Proton Antiporter 2 (NHA2) in their preferred protonation state.
Further investigation into more CPA homologs compared various aspects, including sequence identity, binding site topology, and energetic properties, and obtained general insights into the similarities shared by the binding process of CPA members.
The putative binding site and other conserved residues in their actively ion-bound poses were identified for each model, and their similarities were compared.
The energetic properties accessed by the three-dimensional free energy profile, initially found to be binding unfavorable for the experimental structures, were recalculated based on the simulation data. The updated results show consistency with the correct binding affinity as indicated by the experimental methods.
This work provided a general picture of the structures and the ion-protein interaction of CPA proteins and serves as comprehensive guidance for any related future structural and computational work.
ContributorsZhang, Chenou (Author) / Beckstein, Oliver (Thesis advisor) / Ozkan, Banu (Committee member) / Ros, Robert (Committee member) / Singharoy, Abhishek (Committee member) / Arizona State University (Publisher)
Created2023
Description
Breast cancer cell invasion is a highly orchestrated process driven by a myriad of complex microenvironmental stimuli. These complexities make it difficult to isolate and assess the effects of specific parameters including matrix stiffness and tumor architecture on disease progression. In this regard, morphologically accurate tumor models are becoming instrumental to perform fundamental studies on cancer cell invasion within well-controlled conditions. In this study, the use of photocrosslinkable hydrogels and a novel, two-step photolithography technique was explored to microengineer a 3D breast tumor model. The microfabrication process presented herein enabled precise localization of the cells and creation of high stiffness constructs adjacent to a low stiffness matrix. To validate the model, breast cancer cell lines (MDA-MB-231, MCF7) and normal mammary epithelial cells (MCF10A) were embedded separately within the tumor model and cellular proliferation, migration and cytoskeletal organization were assessed. Proliferation of metastatic MDA-MB-231 cells was significantly higher than tumorigenic MCF7 and normal mammary MCF10A cells. MDA-MB-231 exhibited highly migratory behavior and invaded the surrounding matrix, whereas MCF7 or MCF10A cells formed clusters that were confined within the micropatterned circular features. F-actin staining revealed unique 3D protrusions in MDA-MB-231 cells as they migrated throughout the surrounding matrix. Alternatively, there were abundance of 3D clusters formed by MCF7 and MCF10A cells. The results revealed that gelatin methacrylate (GelMA) hydrogel, integrated with the two-step photolithography technique, has great promise in creating 3D tumor models with well-defined features and tunable stiffness for detailed studies on cancer cell invasion and drug responsiveness.
ContributorsSam, Feba Susan (Author) / Nikkhah, Mehdi (Thesis advisor) / Ros, Robert (Committee member) / Smith, Barbara (Committee member) / Arizona State University (Publisher)
Created2015
Description
In disordered soft matter system, amorphous and crystalline components might be coexisted. The interaction between the two distinct structures and the correlation within the crystalline components are crucial to the macroscopic property of the such material. The spider dragline silk biopolymer, is one of such soft matter material that exhibits exceptional mechanical strength though its mass density is considerably small compare to structural metal. Through wide-angle X-ray scattering (WAXS), the research community learned that the silk fiber is mainly composed of amorphous backbone and $\beta$-sheet nano-crystals. However, the morphology of the crystalline system within the fiber is still not clear. Therefore, a combination of small-angle X-ray scattering experiments and stochastic simulation is designed here to reveal the nano-crystalline ordering in spider silk biopolymer. In addition, several density functional theory (DFT) calculations were performed to help understanding the interaction between amorphous backbone and the crystalline $\beta$-sheets.
By taking advantage of the prior information obtained from WAXS, a rather crude nano-crystalline model was initialized for further numerical reconstruction. Using Markov-Chain stochastic method, a hundreds of nanometer size $\beta$-sheet distribution model was reconstructed from experimental SAXS data, including silk fiber sampled from \textit{Latrodectus hesperus}, \textit{Nephila clavipes}, \textit{Argiope aurantia} and \textit{Araneus gemmoides}. The reconstruction method was implemented using MATLAB and C++ programming language and can be extended to study a broad range of disordered material systems.
By taking advantage of the prior information obtained from WAXS, a rather crude nano-crystalline model was initialized for further numerical reconstruction. Using Markov-Chain stochastic method, a hundreds of nanometer size $\beta$-sheet distribution model was reconstructed from experimental SAXS data, including silk fiber sampled from \textit{Latrodectus hesperus}, \textit{Nephila clavipes}, \textit{Argiope aurantia} and \textit{Araneus gemmoides}. The reconstruction method was implemented using MATLAB and C++ programming language and can be extended to study a broad range of disordered material systems.
ContributorsMou, Qiushi (Author) / Yarger, Jeffery (Thesis advisor) / Benmore, Chris (Committee member) / Holland, Gregory (Committee member) / Ros, Robert (Committee member) / Arizona State University (Publisher)
Created2015
Description
My research centers on the design and fabrication of biomolecule-sensing devices that combine top-down and bottom-up fabrication processes and leverage the unique advantages of each approach. This allows for the scalable creation of devices with critical dimensions and surface properties that are tailored to target molecules at the nanoscale.
My first project focuses on a new strategy for preparing solid-state nanopore sensors for DNA sequencing. Challenges for existing nanopore approaches include specificity of detection, controllability of translocation, and scalability of fabrication. In a new solid-state pore architecture, top-down fabrication of an initial electrode gap embedded in a sealed nanochannel is followed by feedback-controlled electrochemical deposition of metal to shrink the gap and define the nanopore size. The resulting structure allows for the use of an electric field to control the motion of DNA through the pore and the direct detection of a tunnel current through a DNA molecule.
My second project focuses on top-down fabrication strategies for a fixed nanogap device to explore the electronic conductance of proteins. Here, a metal-insulator-metal junction can be fabricated with top-down fabrication techniques, and the subsequent electrode surfaces can be chemically modified with molecules that bind strongly to a target protein. When proteins bind to molecules on either side of the dielectric gap, a molecular junction is formed with observed conductances on the order of nanosiemens. These devices can be used in applications such as DNA sequencing or to gain insight into fundamental questions such as the mechanism of electron transport in proteins.
My first project focuses on a new strategy for preparing solid-state nanopore sensors for DNA sequencing. Challenges for existing nanopore approaches include specificity of detection, controllability of translocation, and scalability of fabrication. In a new solid-state pore architecture, top-down fabrication of an initial electrode gap embedded in a sealed nanochannel is followed by feedback-controlled electrochemical deposition of metal to shrink the gap and define the nanopore size. The resulting structure allows for the use of an electric field to control the motion of DNA through the pore and the direct detection of a tunnel current through a DNA molecule.
My second project focuses on top-down fabrication strategies for a fixed nanogap device to explore the electronic conductance of proteins. Here, a metal-insulator-metal junction can be fabricated with top-down fabrication techniques, and the subsequent electrode surfaces can be chemically modified with molecules that bind strongly to a target protein. When proteins bind to molecules on either side of the dielectric gap, a molecular junction is formed with observed conductances on the order of nanosiemens. These devices can be used in applications such as DNA sequencing or to gain insight into fundamental questions such as the mechanism of electron transport in proteins.
ContributorsSadar, Joshua Stephen (Author) / Qing, Quan (Thesis advisor) / Lindsay, Stuart (Committee member) / Vaiana, Sara (Committee member) / Ros, Robert (Committee member) / Arizona State University (Publisher)
Created2019
Description
Mechanical properties, in particular elasticity, of cancer cells and their microenvironment are important in governing cancer cell fate, for example function, mobility, adhesion, and invasion. Among all tools to measure the mechanical properties, the precision and ease of atomic force microscopy (AFM) to directly apply force—in the range of Pico to micronewtons—onto samples—with length scales from nanometers to tens of micrometers—has made it a powerful tool to investigate the mechanics of materials. AFM is widely used to measure deformability and stiffness of soft biological samples. Principally, these samples are indented by the AFM probe and the forces and indentation depths are recorded. The generated force-indentation curves are fitted with an elastic contact model to quantify the elasticity (e.g. stiffness). AFM is a precise tool; however, the results are as accurate as the contact model used to analyze them. A new contact model was introduced to analyze force-indentation curves generated by spherical AFM probes for deep indentations. The experimental and finite element analysis results demonstrated that the new contact model provides more accurate mechanical properties throughout the indentation depth up to radius of the indenter, while the Hertz model underestimates the mechanical properties. In the classical contact models, it is assumed that the sample is vertically homogenous; however, many biological samples—for example cells—are heterogeneous. A novel two-layer model was utilized to probe Polydimethylsiloxane hydrogel (PDMS) layers on PDMS substrates with stiffness mismatch. In this experiment the stiffness of the substrate was deconvoluted from the AFM measurements to obtain the stiffness of the layer. AFM and confocal reflectance microscopy were utilized along with a novel 3D microengineered breast cancer tumor model to study the crosstalk between cancer tumor and the stromal cells (CAFs) and the ECM remodeling caused by their interplay. The results showed that as the cancer cells invade into the extracellular matrix (ECM), they release PDGF ligands which enable Cafes to remodel the ECM and this remodeling increased the invasion rate of the cancer cells. Next, the effect of the ECM remodeling on anti-cancer drug resistant was investigated within the 3D microengineered cancer model. It was demonstrated that the combinatory treatment by anti-cancer and-anti-fibrotic drugs enhance the efficiency of the cancer treatment. A novel DNA-based 3D hydrogel model with tunable stiffness was investigated by AFM. The results showed the hydrogel stiffness can be enhanced by adding DNA crosslinkers. In addition, the stiffness was reduced to the control sample level by introducing the displacement DNA. Biophysical quantifications along with the in vitro microengineered tumor models provide a unique frame work to study cancer in more detail.
ContributorsRahmani Eliato, Kiarash (Author) / Ros, Robert (Thesis advisor) / Nikkhah, Mehdi (Committee member) / Ozkan, Sefika (Committee member) / Lindsay, Stuart (Committee member) / Arizona State University (Publisher)
Created2019
Description
Traditionally, allostery is perceived as the response of a catalytic pocket to perturbations induced by binding at another distal site through the interaction network in a protein, usually associated with a conformational change responsible for functional regulation. Here, I utilize dynamics-based metrics, Dynamic Flexibility Index and Dynamic Coupling Index to provide insight into how 3D network of interactions wire communications within a protein and give rise to the long-range dynamic coupling, thus regulating key allosteric interactions. Furthermore, I investigate its role in modulating protein function through mutations in evolution. I use Thioredoxin and β-lactamase enzymes as model systems, and show that nature exploits "hinge-shift'' mechanism, where the loss in rigidity of certain residue positions of a protein is compensated by reduced flexibility of other positions, for functional evolution. I also developed a novel approach based on this principle to computationally engineer new mutants of the promiscuous ancestral β-lactamase (i.e., degrading both penicillin and cephatoxime) to exhibit specificity only towards penicillin with a better catalytic efficiency through population shift in its native ensemble.I investigate how allosteric interactions in a protein can regulate protein interactions in a cell, particularly focusing on E. coli ribosome. I describe how mutations in a ribosome can allosterically change its associating with magnesium ions, which was further shown by my collaborators to distally impact the number of biologically active Adenosine Triphosphate molecules in a cell, thereby, impacting cell growth. This allosteric modulation via magnesium ion concentrations is coined, "ionic allostery''. I also describe, the role played by allosteric interactions to regulate information among proteins using a simplistic toy model of an allosteric enzyme. It shows how allostery can provide a mechanism to efficiently transmit information in a signaling pathway in a cell while up/down regulating an enzyme’s activity.
The results discussed here suggest a deeper embedding of the role of allosteric interactions in a protein’s function at cellular level. Therefore, bridging the molecular impact of allosteric regulation with its role in communication in cellular signaling can provide further mechanistic insights of cellular function and disease development, and allow design of novel drugs regulating cellular functions.
The results discussed here suggest a deeper embedding of the role of allosteric interactions in a protein’s function at cellular level. Therefore, bridging the molecular impact of allosteric regulation with its role in communication in cellular signaling can provide further mechanistic insights of cellular function and disease development, and allow design of novel drugs regulating cellular functions.
ContributorsModi, Tushar (Author) / Ozkan, Sefika (Thesis advisor) / Beckstein, Oliver (Committee member) / Vaiana, Sara (Committee member) / Ros, Robert (Committee member) / Arizona State University (Publisher)
Created2020
Description
Cancer is a serious health concern. Current treatments are limited due to certain subpopulations of cancer cells being resistant to chemotherapy and radiation. These subpopulations have been qualitatively identified but much work remains to quantify the abnormalities they exhibit such as irregular nuclear shape. This dissertation seeks to determine physical science methods which can identify and quantify the biological characteristics of cancer and non-cancer cells. For the first project, the deoxyribonucleic acid (DNA) and chromatin of cancer and non-cancer esophageal cells were quantified using spectrophotometry and atomic force microscopy. Then the cellular nucleus shape, chromocenters, nucleoli, and nuclear speckles were characterized using 3-D confocal microscopy. A majority of a cell's DNA is isolated in the supernatant fraction during salt fractionation for both cancer and non-cancer. Additionally, the nuclear size of cancer cells is roughly twice that of non-cancer cells due to the increased ploidy of the cancer cell line (more chromatin) and this chromatin exists in a less decondensed state than that of the chromatin in non-cancer cells. Then using combined atomic force microscopy and CLSM, the Young's modulus of cancer stem-like cells and non-stem-like cells were characterized for three breast cell lines: MDA-MB-231, MCF-7, and MCF-10A. It was determined that the MCF-7 is impacted by buffer environment whereas the MDA-MB-231 and the MCF-10A cell lines are not. MCF-7 cells are stiffer when measured in Phosphate Buffer Solution (PBS) compared to Hank's Balanced Salt Solution (HBSS) buffer possibly due to the fact that HBSS buffer tends to enhance the Warburg effect on cell lines. Additionally, there is a significant stiffness difference between stem cells and non-stem cells in the MCF-7 cell line which does not occur in the MDA-MB-231 cell line for the larger tip. These differences could be attributed to differences in cell phenotype for the cell lines. MDA-MB-231 cells are mesenchymal so it agrees with the hypothesis that there is no difference between cancer stem cells (CSCs) and non-CSCs cell stiffness; on the other hand the MCF-7 cell line is luminal so the CSCs being more mesenchymal-like would be softer than the non-CSCs.
ContributorsARIYASINGHE, NETHMI KANCHANA (Author) / Ros, Robert (Thesis advisor) / Arizona State University (Publisher)
Created2019
Description
My research focuses on studying the interaction between spatiotemporally encoded electric field (EF) and living cells and biomolecules. In this thesis, I report two projects that I have been working on to address these questions. My first project studies the EF modulation of the extracellular-signal-regulated kinase (ERK) pathway. I demonstrated modulation of ERK activities using alternative current (AC) EFs in a new frequency range applied through high-k dielectric passivated microelectrodes with single-cell resolution without electrochemical process induced by the EF stimulation. Further experiments pinpointed a mechanism of phosphorylation site of epidermal growth factor (EGF) receptor to activate the EGFR-ERK pathway that is independent of EGF. AC EFs provide a new strategy to precisely control the dynamics of ERK activation, which may serve as a powerful platform for control of cell behaviors with implications in wide range of biomedical applications.
In the second project, I used solid-state nanopore system as the base platform for single molecule experiments, and developed a scalable bottom-up process to construct planar nanopore devices with self-aligned transverse tunneling junctions, all embedded on a nanofluidic chip, based on feedback-controlled reversible electrochemical deposition in a confined nanoscale space. I demonstrated the first simultaneous detection of translocating DNA molecules from both the ionic channel and the tunneling junction with very high yield. Meanwhile, the signal amplitudes from the tunneling junction are unexpectedly high, indicating that these signals are probably dominated by transient currents associated with the fast motion of charged molecules between the transverse electrodes. This new platform provides the flexibility and reproducibility required to study quantum-tunneling-based DNA detection and sequencing.
In summary, I have developed two platforms that engineer heterogenous EF at different length scales to modulate live cells and single biomolecules. My results suggest that the charges and dipoles of biomolecules can be electrostatically manipulated to regulate physiological responses and to push detection resolution to single molecule level. Nevertheless, there are still many interesting questions remain, such as the molecular mechanism of EF-protein interaction and tunneling signal extraction. These will be the topics for future investigations.
ContributorsWang, Yuan (Author) / Qing, Quan (Thesis advisor) / Lindsay, Stuart (Committee member) / Wang, Shaopeng (Committee member) / Ros, Robert (Committee member) / Arizona State University (Publisher)
Created2021
Description
Driven by the curiosity for the secret of life, the effort on sequencing of DNAs and other large biopolymers has never been respited. Advanced from recent sequencing techniques, nanotube and nanopore based sequencing has been attracting much attention. This thesis focuses on the study of first and crucial compartment of the third generation sequencing technique, the capture and translocation of biopolymers, and discuss the advantages and obstacles of two different nanofluidic pathways, nanotubes and nanopores for single molecule capturing and translocation. Carbon nanotubes with its constrained structure, the frictionless inner wall and strong electroosmotic flow, are promising materials for linearly threading DNA and other biopolymers for sequencing. Solid state nanopore on the other hand, is a robust chemical, thermal and mechanical stable nanofluidic device, which has a high capturing rate and, to some extent, good controllable threading ability for DNA and other biomolecules. These two different but similar nanofluidic pathways both provide a good preparation of analyte molecules for the sequencing purpose. In addition, more and more research interests have move onto peptide chains and protein sensing. For proteome is better and more direct indicators for human health, peptide chains and protein sensing have a much wider range of applications on bio-medicine, disease early diagnoses, and etc. A universal peptide chain nanopore sensing technique with universal chemical modification of peptides is discussed in this thesis as well, which unifies the nanopore capturing process for vast varieties of peptides. Obstacles of these nanofluidic pathways are also discussed. In the end of this thesis, a proposal of integration of solid state nanopore and fixed-gap recognition tunneling sequencing technique for a more accurate DNA and peptide readout is discussed, together with some early study work, which gives a new direction for nanopore based sequencing.
ContributorsSong, Weisi (Author) / Lindsay, Stuart (Thesis advisor) / Ros, Robert (Committee member) / Qing, Quan (Committee member) / Zhang, Peiming (Committee member) / Arizona State University (Publisher)
Created2015