Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Jay M. Newby"'
Publikováno v:
Viruses, Vol 13, Iss 9, p 1815 (2021)
We introduce an explicit function that describes virus-load curves on a patient-specific level. This function is based on simple and intuitive model parameters. It allows virus load analysis of acute viral infections without solving a full virus load
Externí odkaz:
https://doaj.org/article/84d8f401e8bc4dc2b24bdcd59be1c7ec
Autor:
Alison Schaefer, Edward A. Miao, Holly A. Schroeder, Babu Subramani, Alan L. Tubbs, Jay M. Newby, Samuel K. Lai, M. Gregory Forest
Publikováno v:
Mucosal Immunology. 13:814-823
The gastrointestinal (GI) mucosa is coated with a continuously secreted mucus layer that serves as the first line of defense against invading enteric bacteria. We have previously shown that antigen-specific immunoglobulin G (IgG) can immobilize virus
Autor:
John M. Crutchley, Jay M. Newby, Amy S. Gladfelter, Grace A. McLaughlin, Erin M Langdon, Liam J. Holt, M. Gregory Forest
Publikováno v:
Molecular Biology of the Cell
The spatial structure and physical properties of the cytosol are not well understood. Measurements of the material state of the cytosol are challenging due to its spatial and temporal heterogeneity. Recent development of genetically encoded multimeri
Autor:
Alex Chen, Samuel K. Lai, Timothy Wessler, Holly A. Schroeder, Jay M. Newby, Jennifer L. Schiller, Feifei Xu, M. Gregory Forest
Publikováno v:
ACS Infectious Diseases. 5:1570-1580
The gastrointestinal (GI) tract is lined with a layer of viscoelastic mucus gel, characterized by a dense network of entangled and cross-linked mucins together with an abundance of antibodies (Ab). Secretory IgA (sIgA), the predominant Ab isotype in
Autor:
Alexander K. Nguyen, Daniel Wadsworth, Samuel K. Lai, Timothy M. Jacobs, Alison Schaefer, Jay M. Newby, Anting Wang, Christina L. Parker, Justin T. Huckaby
Publikováno v:
Angewandte Chemie. 131:5660-5664
Mucus represents a major barrier to sustained and targeted drug delivery to mucosal epithelium. Ideal drug carriers should not only rapidly diffuse across mucus, but also bind the epithelium. Unfortunately, ligand-conjugated particles often exhibit p
Autor:
Digvijay Singh, Kelsey Gasior, Shan Lu, Olga Tapia, Amy S. Gladfelter, Elizabeth Villa, Don W. Cleveland, John R. Yates, Sandrine Da Cruz, Melinda S. Beccari, Divek Toprani, Jay M. Newby, Haiyang Yu, Miguel Lafarga, Sonia Vazquez-Sanchez
Publikováno v:
Science
The makings of anisosomes Phase separation of proteins within the cell can produce a liquid-inside-a-liquid phase resembling oil droplets in water. Yu et al. now report that an RNA-binding protein called TDP-43, in which mutation and aggregation are
We introduce an explicit function that describes virus-load curves on a patient-specific level. This function is based on simple and intuitive model parameters. It allows virus load analysis without solving a full virus load dynamic model. We validat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0150240293286a3903ae61e2df4b91e0
https://doi.org/10.1101/2021.01.21.21250268
https://doi.org/10.1101/2021.01.21.21250268
Publikováno v:
Bulletin of Mathematical Biology. 82
Liquid-liquid phase separation is an emerging mechanism for intracellular organization. This work presents a mathematical model to examine molecular mechanisms that yield phase-separated droplets composed of different RNA-protein complexes. Using a C
Autor:
Da Cruz S, Don W. Cleveland, Melinda S. Beccari, Shan Lu, Yates, Toprani D, Olga Tapia, Kelsey Gasior, Sonia Vazquez-Sanchez, Haiyang Yu, Jay M. Newby, Amy S. Gladfelter, Elizabeth Villa, Digvijay Singh, Larfaga M
The RNA binding protein TDP-43 naturally phase separates within cell nuclei and forms cytoplasmic aggregates in age-related neurodegenerative diseases. Here we show that acetylation-mediated inhibition of TDP-43 binding to RNA produces co-de-mixing o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb1daf996d28b9749045cadd6ef68ede
Publikováno v:
Proceedings of the National Academy of Sciences. 115:9026-9031
Particle tracking is a powerful biophysical tool that requires conversion of large video files into position time series, i.e. traces of the species of interest for data analysis. Current tracking methods, based on a limited set of input parameters t