Benjamin D. Cosgrove
Stanford University
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Benjamin D. Cosgrove.
Nature Medicine | 2014
Benjamin D. Cosgrove; Penney M. Gilbert; Ermelinda Porpiglia; Foteini Mourkioti; Steven P Lee; Stéphane Y. Corbel; Michael E. Llewellyn; Scott L. Delp; Helen M. Blau
The elderly often suffer from progressive muscle weakness and regenerative failure. We demonstrate that muscle regeneration is impaired with aging owing in part to a cell-autonomous functional decline in skeletal muscle stem cells (MuSCs). Two-thirds of MuSCs from aged mice are intrinsically defective relative to MuSCs from young mice, with reduced capacity to repair myofibers and repopulate the stem cell reservoir in vivo following transplantation. This deficiency is correlated with a higher incidence of cells that express senescence markers and is due to elevated activity of the p38α and p38β mitogen-activated kinase pathway. We show that these limitations cannot be overcome by transplantation into the microenvironment of young recipient muscles. In contrast, subjecting the MuSC population from aged mice to transient inhibition of p38α and p38β in conjunction with culture on soft hydrogel substrates rapidly expands the residual functional MuSC population from aged mice, rejuvenating its potential for regeneration and serial transplantation as well as strengthening of damaged muscles of aged mice. These findings reveal a synergy between biophysical and biochemical cues that provides a paradigm for a localized autologous muscle stem cell therapy for the elderly.
Toxicology and Applied Pharmacology | 2009
Benjamin D. Cosgrove; Bracken Matheny King; Maya A. Hasan; Leonidas G. Alexopoulos; Paraskevi A. Farazi; Bart S. Hendriks; Linda G. Griffith; Peter K. Sorger; Bruce Tidor; Jinghai J. Xu; Douglas A. Lauffenburger
Idiosyncratic drug hepatotoxicity represents a major problem in drug development due to inadequacy of current preclinical screening assays, but recently established rodent models utilizing bacterial LPS co-administration to induce an inflammatory background have successfully reproduced idiosyncratic hepatotoxicity signatures for certain drugs. However, the low-throughput nature of these models renders them problematic for employment as preclinical screening assays. Here, we present an analogous, but high-throughput, in vitro approach in which drugs are administered to a variety of cell types (primary human and rat hepatocytes and the human HepG2 cell line) across a landscape of inflammatory contexts containing LPS and cytokines TNF, IFN gamma, IL-1 alpha, and IL-6. Using this assay, we observed drug-cytokine hepatotoxicity synergies for multiple idiosyncratic hepatotoxicants (ranitidine, trovafloxacin, nefazodone, nimesulide, clarithromycin, and telithromycin) but not for their corresponding non-toxic control compounds (famotidine, levofloxacin, buspirone, and aspirin). A larger compendium of drug-cytokine mix hepatotoxicity data demonstrated that hepatotoxicity synergies were largely potentiated by TNF, IL-1 alpha, and LPS within the context of multi-cytokine mixes. Then, we screened 90 drugs for cytokine synergy in human hepatocytes and found that a significantly larger fraction of the idiosyncratic hepatotoxicants (19%) synergized with a single cytokine mix than did the non-hepatotoxic drugs (3%). Finally, we used an information theoretic approach to ascertain especially informative subsets of cytokine treatments for most highly effective construction of regression models for drug- and cytokine mix-induced hepatotoxicities across these cell systems. Our results suggest that this drug-cytokine co-treatment approach could provide a useful preclinical tool for investigating inflammation-associated idiosyncratic drug hepatotoxicity.
Nature Medicine | 2015
Helen M. Blau; Benjamin D. Cosgrove; Andrew Tri Van Ho
Skeletal muscle mass, function, and repair capacity all progressively decline with aging, restricting mobility, voluntary function, and quality of life. Skeletal muscle repair is facilitated by a population of dedicated muscle stem cells (MuSCs), also known as satellite cells, that reside in anatomically defined niches within muscle tissues. In adult tissues, MuSCs are retained in a quiescent state until they are primed to regenerate damaged muscle through cycles of self-renewal divisions. With aging, muscle tissue homeostasis is progressively disrupted and the ability of MuSCs to repair injured muscle markedly declines. Until recently, this decline has been largely attributed to extrinsic age-related alterations in the microenvironment to which MuSCs are exposed. However, as highlighted in this Perspective, recent reports show that MuSCs also progressively undergo cell-intrinsic alterations that profoundly affect stem cell regenerative function with aging. A more comprehensive understanding of the interplay of stem cell–intrinsic and extrinsic factors will set the stage for improving cell therapies capable of restoring tissue homeostasis and enhancing muscle repair in the aged.
Differentiation | 2009
Benjamin D. Cosgrove; Alessandra Sacco; Penney M. Gilbert; Helen M. Blau
Satellite cells are skeletal muscle stem cells with a principal role in postnatal skeletal muscle regeneration. Satellite cells, like many tissue-specific adult stem cells, reside in a quiescent state in an instructive, anatomically defined niche. The satellite cell niche constitutes a distinct membrane-enclosed compartment within the muscle fiber, containing a diversity of biochemical and biophysical signals that influence satellite cell function. A major limitation to the study and clinical utility of satellite cells is that upon removal from the muscle fiber and plating in traditional plastic tissue culture platforms, their muscle stem cell properties are rapidly lost. Clearly, the maintenance of stem cell function is critically dependent on in vivo niche signals, highlighting the need to create novel in vitro microenvironments that allow for the maintenance and propagation of satellite cells while retaining their potential to function as muscle stem cells. Here, we discuss how emerging biomaterials technologies offer great promise for engineering in vitro microenvironments to meet these challenges. In engineered biomaterials, signaling molecules can be presented in a manner that more closely mimics cell-cell and cell-matrix interactions, and matrices can be fabricated with diverse rigidities that approximate in vivo tissues. The development of in vitro microenvironments in which niche features can be systematically modulated will be instrumental not only to future insights into muscle stem cell biology and therapeutic approaches to muscle diseases and muscle wasting with aging, but also will provide a paradigm for the analysis of numerous adult tissue-specific stem cells.
Molecular & Cellular Proteomics | 2010
Leonidas G. Alexopoulos; Julio Saez-Rodriguez; Benjamin D. Cosgrove; Douglas A. Lauffenburger; Peter K. Sorger
Systematic study of cell signaling networks increasingly involves high throughput proteomics, transcriptional profiling, and automated literature mining with the aim of assembling large scale interaction networks. In contrast, functional analysis of cell signaling usually focuses on a much smaller sets of proteins and eschews computation but focuses directly on cellular responses to environment and perturbation. We sought to combine these two traditions by collecting cell response measures on a reasonably large scale and then attempting to infer differences in network topology between two cell types. Human hepatocytes and hepatocellular carcinoma cell lines were exposed to inducers of inflammation, innate immunity, and proliferation in the presence and absence of small molecule drugs, and multiplex biochemical measurement was then performed on intra- and extracellular signaling molecules. We uncovered major differences between primary and transformed hepatocytes with respect to the engagement of toll-like receptor and NF-κB-dependent secretion of chemokines and cytokines that prime and attract immune cells. Overall, our results serve as a proof of principle for an approach to network analysis that is systematic, comparative, and biochemically focused. More specifically, our data support the hypothesis that hepatocellular carcinoma cells down-regulate normal inflammatory and immune responses to avoid immune editing.
Hepatology | 2008
Benjamin D. Cosgrove; Connie Cheng; Justin R. Pritchard; Donna B. Stolz; Douglas A. Lauffenburger; Linda G. Griffith
Tumor necrosis factor‐α (TNF) is an inflammatory cytokine that induces context‐dependent proliferation, survival, and apoptosis responses in hepatocytes. TNF stimulates and enhances growth factor‐mediated hepatocyte proliferation and survival following partial hepatectomy, but also acts in concert with other inflammatory cytokines of the innate immune response during viral infection to induce apoptosis in hepatocytes. In other epithelial cell types, TNF has recently been shown to stimulate autocrine release of transforming growth factor‐α (TGF‐α) and interleukin‐1 (IL‐1) family ligands. Here, we examine the role of these autocrine ligands in modulating TNF‐induced proliferation and apoptosis in primary hepatocytes. We show that TNF‐induced hepatocyte proliferation is regulated by an inducible, coupled, and self‐antagonizing autocrine cascade involving the pro‐proliferative TGF‐α and IL‐1 receptor antagonist (IL‐1ra) ligands and antiproliferative IL‐1α/β ligands. Moreover, cooperative stimulation of hepatocyte proliferation by combined TNF and TGF‐α treatment is self‐limited through antiproliferative autocrine IL‐1α/β feedback. We show that TNF potently induces apoptosis of adenovirus‐infected hepatocytes in a manner similarly determined through the integrated activity of a coupled TGF‐α–IL‐1α/β–IL‐1ra autocrine cascade. Exogenous TGF‐α can either enhance or diminish apoptosis in adenoviral vector‐treated and TNF‐treated hepatocytes, in a biphasic relationship also mediated by autocrine IL‐1α/β feedback. Conclusion: We demonstrate that TNF‐induced hepatocyte proliferation and apoptosis are both governed by a self‐antagonizing TGF‐α–IL‐1α/β–IL‐1ra autocrine cascade in vitro, and thus identify multiple molecular targets for control of TNF‐regulated hepatocyte phenotypic responses related to liver regeneration and adenoviral gene therapy. (HEPATOLOGY 2008.)
Journal of the American Chemical Society | 2009
Jeong Hoon Lee; Benjamin D. Cosgrove; Douglas A. Lauffenburger; Jongyoon Han
In this paper, we reported a simple, disposable PDMS micro/nanofluidic preconcentration chip for in vitro concentration-enhanced cell kinase assays. Utilizing the preconcentration (electrokinetic trapping) directly from cell lysate (1 mM ATP) samples, we could achieve at least a 25-fold increase in reaction velocity and 65-fold enhancement in sensitivity. In addition, we shorten the assay time down to less than 10 min, with the sample volume requirements of down to approximately 5 cells. This device could be a generic and powerful tool for diagnostics and systems biology studies at the single-cell level, if properly optimized and integrated with the cell culture microdevices.
Cellular and Molecular Bioengineering | 2010
Melissa K. Gardner; Brian L. Sprague; Chad G. Pearson; Benjamin D. Cosgrove; Andrew D. Bicek; Kerry Bloom; E. D. Salmon; David J. Odde
Digital fluorescence microscopy is commonly used to track individual proteins and their dynamics in living cells. However, extracting molecule-specific information from fluorescence images is often limited by the noise and blur intrinsic to the cell and the imaging system. Here we discuss a method called “model-convolution,” which uses experimentally measured noise and blur to simulate the process of imaging fluorescent proteins whose spatial distribution cannot be resolved. We then compare model-convolution to the more standard approach of experimental deconvolution. In some circumstances, standard experimental deconvolution approaches fail to yield the correct underlying fluorophore distribution. In these situations, model-convolution removes the uncertainty associated with deconvolution and therefore allows direct statistical comparison of experimental and theoretical data. Thus, if there are structural constraints on molecular organization, the model-convolution method better utilizes information gathered via fluorescence microscopy, and naturally integrates experiment and theory.
Molecular Cancer Therapeutics | 2009
Justin R. Pritchard; Benjamin D. Cosgrove; Michael T. Hemann; Linda G. Griffith; Jack R. Wands; Douglas A. Lauffenburger
Multitarget compounds that act on a diverse set of regulatory pathways are emerging as a therapeutic approach for a variety of cancers. Toward a more specified use of this approach, we hypothesize that the desired efficacy can be recreated in terms of a particular combination of relatively more specific (i.e., ostensibly single target) compounds. We test this hypothesis for the geldanamycin analogue 17-Allylamino-17-demethoxygeldanamycin (17AAG) in hepatocellular carcinoma cells, measuring critical phosphorylation levels that indicate the kinase pathway effects correlating with apoptotic responsiveness of the Hep3B cell line in contrast to the apoptotic resistance of the Huh7 cell line. A principal components analysis (PCA) constructed from time course measurements of seven phosphoprotein signaling levels identified modulation of the AKT, IκB kinase, and signal transducer and activator of transcription 3 pathways by 17AAG treatment as most important for distinguishing these cell-specific death responses. The analysis correctly suggested from 17AAG-induced effects on these phosphoprotein levels that the FOCUS cell line would show apoptotic responsiveness similarly to Hep3B. The PCA also guided the inhibition of three critical pathways and rendered Huh7 cells responsive to 17AAG. Strikingly, in all three hepatocellular carcinoma lines, the three-inhibitor combination alone exhibited similar or greater efficacy to 17AAG. We conclude that (a) the PCA captures and clusters the multipathway phosphoprotein time courses with respect to their 17AAG-induced apoptotic responsiveness and (b) we can recreate, in a more specified manner, the cellular responses of a prospective multitarget cancer therapeutic. [Mol Cancer Ther 2009;8(8):2183–92]
Proceedings of the National Academy of Sciences of the United States of America | 2017
Eduard Sleep; Benjamin D. Cosgrove; Mark T. McClendon; Adam T. Preslar; Charlotte H. Chen; M. Hussain Sangji; Charles M. Rubert Pérez; Russell D. Haynes; Thomas J. Meade; Helen M. Blau; Samuel I. Stupp
Significance Most research aiming to achieve muscle regeneration focuses on the biology of “muscle stem cells,” but delivery methods that enhance transplantation efficiency of these cells are at early stages. We report on a liquid crystalline scaffold that encapsulates the cells and gels upon injection in vivo without requiring an external stimulus. As a unique structural feature, the scaffold contains nanofibers that align preferentially with surrounding natural muscle fibers. The biomimetic scaffold can have a stiffness that matches that of muscle, has great ability to retain growth factors, and has a biodegradation rate that is compatible with regeneration time scales. Most importantly, the scaffold enhances engraftment efficiency of the cells in injured muscle, and without injury when combined with growth factors. Muscle stem cells are a potent cell population dedicated to efficacious skeletal muscle regeneration, but their therapeutic utility is currently limited by mode of delivery. We developed a cell delivery strategy based on a supramolecular liquid crystal formed by peptide amphiphiles (PAs) that encapsulates cells and growth factors within a muscle-like unidirectionally ordered environment of nanofibers. The stiffness of the PA scaffolds, dependent on amino acid sequence, was found to determine the macroscopic degree of cell alignment templated by the nanofibers in vitro. Furthermore, these PA scaffolds support myogenic progenitor cell survival and proliferation and they can be optimized to induce cell differentiation and maturation. We engineered an in vivo delivery system to assemble scaffolds by injection of a PA solution that enabled coalignment of scaffold nanofibers with endogenous myofibers. These scaffolds locally retained growth factors, displayed degradation rates matching the time course of muscle tissue regeneration, and markedly enhanced the engraftment of muscle stem cells in injured and noninjured muscles in mice.