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Dive into the research topics where Adrian F. Pegoraro is active.

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Featured researches published by Adrian F. Pegoraro.


Nano Letters | 2015

Direct Observation of Wet Biological Samples by Graphene Liquid Cell Transmission Electron Microscopy

Jungwon Park; Hyesung Park; Peter Ercius; Adrian F. Pegoraro; Chen Xu; Jin-Woong Kim; Sang Hoon Han; David A. Weitz

Recent development of liquid phase transmission electron microscopy (TEM) enables the study of specimens in wet ambient conditions within a liquid cell; however, direct structural observation of biological samples in their native solution using TEM is challenging since low-mass biomaterials embedded in a thick liquid layer of the host cell demonstrate low contrast. Furthermore, the integrity of delicate wet samples is easily compromised during typical sample preparation and TEM imaging. To overcome these limitations, we introduce a graphene liquid cell (GLC) using multilayer graphene sheets to reliably encapsulate and preserve biological samples in a liquid for TEM observation. We achieve nanometer scale spatial resolution with high contrast using low-dose TEM at room temperature, and we use the GLC to directly observe the structure of influenza viruses in their native buffer solution at room temperature. The GLC is further extended to investigate whole cells in wet conditions using TEM. We also demonstrate the potential of the GLC for correlative studies by TEM and fluorescence light microscopy imaging.


Physiology | 2017

Modeling Physiological Events in 2D vs. 3D Cell Culture

Kayla Duval; Hannah Grover; Li-Hsin Han; Yongchao Mou; Adrian F. Pegoraro; Jeffery Fredberg; Zi Chen

Cell culture has become an indispensable tool to help uncover fundamental biophysical and biomolecular mechanisms by which cells assemble into tissues and organs, how these tissues function, and how that function becomes disrupted in disease. Cell culture is now widely used in biomedical research, tissue engineering, regenerative medicine, and industrial practices. Although flat, two-dimensional (2D) cell culture has predominated, recent research has shifted toward culture using three-dimensional (3D) structures, and more realistic biochemical and biomechanical microenvironments. Nevertheless, in 3D cell culture, many challenges remain, including the tissue-tissue interface, the mechanical microenvironment, and the spatiotemporal distributions of oxygen, nutrients, and metabolic wastes. Here, we review 2D and 3D cell culture methods, discuss advantages and limitations of these techniques in modeling physiologically and pathologically relevant processes, and suggest directions for future research.


Proceedings of the National Academy of Sciences of the United States of America | 2017

Cell volume change through water efflux impacts cell stiffness and stem cell fate

Ming Guo; Adrian F. Pegoraro; Angelo Mao; Enhua H. Zhou; Praveen R. Arany; Yulong Han; Dylan T. Burnette; Mikkel H. Jensen; Karen E. Kasza; Jeffrey R. Moore; F. C. MacKintosh; Jeffrey J. Fredberg; David J. Mooney; Jennifer Lippincott-Schwartz; David A. Weitz

Significance Cell volume is thought to be a well-controlled cellular characteristic, increasing as a cell grows, while macromolecular density is maintained. We report that cell volume can also change in response to external physical cues, leading to water influx/efflux, which causes significant changes in subcellular macromolecular density. This is observed when cells spread out on a substrate: Cells reduce their volume and increase their molecular crowding due to an accompanying water efflux. Exploring this phenomenon further, we removed water from mesenchymal stem cells through osmotic pressure and found this was sufficient to alter their differentiation pathway. Based on these results, we suggest cells chart different differentiation and behavioral pathways by sensing/altering their cytoplasmic volume and density through changes in water influx/efflux. Cells alter their mechanical properties in response to their local microenvironment; this plays a role in determining cell function and can even influence stem cell fate. Here, we identify a robust and unified relationship between cell stiffness and cell volume. As a cell spreads on a substrate, its volume decreases, while its stiffness concomitantly increases. We find that both cortical and cytoplasmic cell stiffness scale with volume for numerous perturbations, including varying substrate stiffness, cell spread area, and external osmotic pressure. The reduction of cell volume is a result of water efflux, which leads to a corresponding increase in intracellular molecular crowding. Furthermore, we find that changes in cell volume, and hence stiffness, alter stem-cell differentiation, regardless of the method by which these are induced. These observations reveal a surprising, previously unidentified relationship between cell stiffness and cell volume that strongly influences cell biology.


Experimental Cell Research | 2016

Problems in biology with many scales of length: Cell-cell adhesion and cell jamming in collective cellular migration.

Adrian F. Pegoraro; Jeffrey J. Fredberg; Jin-Ah Park

As do all things in biology, cell mechanosensation, adhesion and migration begin at the scale of the molecule. Collections of molecules assemble to comprise microscale objects such as adhesions, organelles and cells. And collections of cells in turn assemble to comprise macroscale tissues. From the points of view of mechanism and causality, events at the molecular scale are seen most often as being the most upstream and, therefore, the most fundamental and the most important. In certain collective systems, by contrast, events at many scales of length conspire to make contributions of equal importance, and even interact directly and strongly across disparate scales. Here we highlight recent examples in cellular mechanosensing and collective cellular migration where physics at some scale bigger than the cell but smaller than the tissue - the mesoscale - becomes the missing link that is required to tie together findings that might otherwise seem counterintuitive or even unpredictable. These examples, taken together, establish that the phenotypes and the underlying physics of collective cellular migration are far richer than previously anticipated.


Cold Spring Harbor Perspectives in Biology | 2017

Mechanical Properties of the Cytoskeleton and Cells

Adrian F. Pegoraro; Paul A. Janmey; David A. Weitz

SUMMARYThe cytoskeleton is the major mechanical structure of the cell; it is a complex, dynamic biopolymer network comprising microtubules, actin, and intermediate filaments. Both the individual filaments and the entire network are not simple elastic solids but are instead highly nonlinear structures. Appreciating the mechanics of biopolymer networks is key to understanding the mechanics of cells. Here, we review the mechanical properties of cytoskeletal polymers and discuss the implications for the behavior of cells.


Nature Physics | 2018

Geometric constraints during epithelial jamming

Lior Atia; Dapeng Bi; Yasha Sharma; Jennifer A. Mitchel; Bomi Gweon; Stephan A. Koehler; Stephen J. DeCamp; Bo Lan; Jae Hun Kim; Rebecca Hirsch; Adrian F. Pegoraro; Kyu Ha Lee; Jacqueline R. Starr; David A. Weitz; Adam C. Martin; Jin-Ah Park; James P. Butler; Jeffrey J. Fredberg

As an injury heals, an embryo develops or a carcinoma spreads, epithelial cells systematically change their shape. In each of these processes cell shape is studied extensively whereas variability of shape from cell to cell is regarded most often as biological noise. But where do cell shape and its variability come from? Here we report that cell shape and shape variability are mutually constrained through a relationship that is purely geometrical. That relationship is shown to govern processes as diverse as maturation of the pseudostratified bronchial epithelial layer cultured from non-asthmatic or asthmatic donors, and formation of the ventral furrow in the Drosophila embryo. Across these and other epithelial systems, shape variability collapses to a family of distributions that is common to all. That distribution, in turn, is accounted for by a mechanistic theory of cell–cell interaction, showing that cell shape becomes progressively less elongated and less variable as the layer becomes progressively more jammed. These findings suggest a connection between jamming and geometry that spans living organisms and inert jammed systems, and thus transcends system details. Although molecular events are needed for any complete theory of cell shape and cell packing, observations point to the hypothesis that jamming behaviour at larger scales of organization sets overriding geometric constraints.Epithelial cells are shown to scale via a shape distribution that is common to a number of different systems, suggesting that cell shape and shape variability are constrained through a relationship that is purely geometrical.


Nature Physics | 2018

Author Correction: Geometric constraints during epithelial jamming

Lior Atia; Dapeng Bi; Yasha Sharma; Jennifer A. Mitchel; Bomi Gweon; Stephan A. Koehler; Stephen J. DeCamp; Bo Lan; Jae Hun Kim; Rebecca Hirsch; Adrian F. Pegoraro; Kyu Ha Lee; Jacqueline R. Starr; David A. Weitz; Adam C. Martin; Jin-Ah Park; James P. Butler; Jeffrey J. Fredberg

In the first correction to this Article, the authors added James P. Butler and Jeffrey J. Fredburg as equally contributing authors. However, this was in error; the statement should have remained indicating that Lior Atia, Dapeng Bi and Yasha Sharma contributed equally. This has now been corrected.


Integrative Biology | 2015

Collective motion of mammalian cell cohorts in 3D

Yasha Sharma; Diego A. Vargas; Adrian F. Pegoraro; David Lepzelter; David A. Weitz; Muhammad H. Zaman


Archive | 2017

Universal geometric constraints during epithelial jamming

Lior Atia; Dapeng Bi; Yasha Sharma; Jennifer A. Mitchel; Bomi Gweon; Stephan A. Koehler; Stephen J. DeCamp; Bo Lan; Rebecca Hirsch; Adrian F. Pegoraro; Kyu Ha Lee; Jacqueline R. Starr; David A. Weitz; Adam C. Martin; Jin-Ah Park; James P. Butler; Jeffrey J. Fredberg


Advanced Materials | 2015

Elastomers: Soft Poly(dimethylsiloxane) Elastomers from Architecture‐Driven Entanglement Free Design (Adv. Mater. 35/2015)

Liheng Cai; Thomas E. Kodger; Rodrigo Guerra; Adrian F. Pegoraro; Michael Rubinstein; David A. Weitz

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Adam C. Martin

Massachusetts Institute of Technology

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