Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Huaming Yan"'
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 6, p e1010288 (2022)
[This corrects the article DOI: 10.1371/journal.pcbi.1009701.].
Externí odkaz:
https://doaj.org/article/fa1112c296de4835bb7169903e09678f
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 12, p e1009701 (2021)
Experiments on tumor spheroids have shown that compressive stress from their environment can reversibly decrease tumor expansion rates and final sizes. Stress release experiments show that nonuniform anisotropic elastic stresses can be distributed th
Externí odkaz:
https://doaj.org/article/93e0fd5ef3ad49faafd57b812ea4ee36
Autor:
Rolando Ruiz-Vega, Chi-Fen Chen, Emaad Razzak, Priya Vasudeva, Tatiana B Krasieva, Jessica Shiu, Michael G Caldwell, Huaming Yan, John Lowengrub, Anand K Ganesan, Arthur D Lander
Publikováno v:
eLife, Vol 9 (2020)
Mutational activation of the BRAF proto-oncogene in melanocytes reliably produces benign nevi (pigmented ‘moles’), yet the same change is the most common driver mutation in melanoma. The reason nevi stop growing, and do not progress to melanoma,
Externí odkaz:
https://doaj.org/article/ebbfba30db8a42e8b8e4e0ad08a82c27
Publikováno v:
PLoS Computational Biology, Vol 12, Iss 3, p e1004814 (2016)
Feedback regulation of cell lineage progression plays an important role in tissue size homeostasis, but whether such feedback also plays an important role in tissue morphogenesis has yet to be explored. Here we use mathematical modeling to show that
Externí odkaz:
https://doaj.org/article/1015df4382d147da813b2a9ce04975e1
Autor:
Jason B. Fleming, Eric P. Tamm, Priya Bhosale, Huamin Wang, Matthew H. Katz, Christopher H. Crane, Michael P. Kim, Cullen M. Taniguchi, Anirban Maitra, Mauro Ferrari, Jeffrey E. Lee, Prajnan Das, Rachna T. Shroff, Gauri R. Varadhachary, Milind Javle, Robert A. Wolff, Newsha Nikzad, Mohamed Zaid, Anil Chauhan, Shun Yu, Kim A. Reiss, Naveen Garg, Dali Li, Mayrim V. Rios Perez, Peter C. Park, Huaming Yan, Deyali Chatterjee, Ahmed M. Amer, Muayad Almahariq, Dalia Elganainy, Rong Ye, Brian P. Hobbs, F. Anthony San Lucas, Ya'an Kang, John S. Lowengrub, Vittorio Cristini, Yeonju Lee, Eugene J. Koay
Mathematical model simulation of low delta tumor growth (lambda = 0.2)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e2e4d4c75428a8e88a03b86c7328f4b
https://doi.org/10.1158/1078-0432.22470222
https://doi.org/10.1158/1078-0432.22470222
Autor:
Jason B. Fleming, Eric P. Tamm, Priya Bhosale, Huamin Wang, Matthew H. Katz, Christopher H. Crane, Michael P. Kim, Cullen M. Taniguchi, Anirban Maitra, Mauro Ferrari, Jeffrey E. Lee, Prajnan Das, Rachna T. Shroff, Gauri R. Varadhachary, Milind Javle, Robert A. Wolff, Newsha Nikzad, Mohamed Zaid, Anil Chauhan, Shun Yu, Kim A. Reiss, Naveen Garg, Dali Li, Mayrim V. Rios Perez, Peter C. Park, Huaming Yan, Deyali Chatterjee, Ahmed M. Amer, Muayad Almahariq, Dalia Elganainy, Rong Ye, Brian P. Hobbs, F. Anthony San Lucas, Ya'an Kang, John S. Lowengrub, Vittorio Cristini, Yeonju Lee, Eugene J. Koay
Purpose:Pancreatic ductal adenocarcinoma (PDAC) is a heterogeneous disease with variable presentations and natural histories of disease. We hypothesized that different morphologic characteristics of PDAC tumors on diagnostic computed tomography (CT)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17436dcd95dd058b959d9246f6e4f134
https://doi.org/10.1158/1078-0432.c.6527469.v1
https://doi.org/10.1158/1078-0432.c.6527469.v1
Autor:
John S. Lowengrub, Daniela A. Bota, Christopher C.W. Hughes, Hermann B. Frieboes, Kaijun Di, Lesly I. Benitez, Mónica Romero-López, Huaming Yan
The nondimensionalization of the mathematical model, model parameters, and detailed analysis of the results in Main Text, including 2D slices and volume fractions of each cell type in Control and tumors treated by anti-angiogenic, anti-mitotic, diffe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ed5e5ae34994b553b702e416eafff9c
https://doi.org/10.1158/0008-5472.22414898
https://doi.org/10.1158/0008-5472.22414898
Autor:
Jason B. Fleming, Eric P. Tamm, Priya Bhosale, Huamin Wang, Matthew H. Katz, Christopher H. Crane, Michael P. Kim, Cullen M. Taniguchi, Anirban Maitra, Mauro Ferrari, Jeffrey E. Lee, Prajnan Das, Rachna T. Shroff, Gauri R. Varadhachary, Milind Javle, Robert A. Wolff, Newsha Nikzad, Mohamed Zaid, Anil Chauhan, Shun Yu, Kim A. Reiss, Naveen Garg, Dali Li, Mayrim V. Rios Perez, Peter C. Park, Huaming Yan, Deyali Chatterjee, Ahmed M. Amer, Muayad Almahariq, Dalia Elganainy, Rong Ye, Brian P. Hobbs, F. Anthony San Lucas, Ya'an Kang, John S. Lowengrub, Vittorio Cristini, Yeonju Lee, Eugene J. Koay
Additional methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20ed8a566b6b96d1c510567fb19ee6ab
https://doi.org/10.1158/1078-0432.22470228.v1
https://doi.org/10.1158/1078-0432.22470228.v1
Autor:
John S. Lowengrub, Daniela A. Bota, Christopher C.W. Hughes, Hermann B. Frieboes, Kaijun Di, Lesly I. Benitez, Mónica Romero-López, Huaming Yan
Glioblastoma (GBM), the most aggressive brain tumor in human patients, is decidedly heterogeneous and highly vascularized. Glioma stem/initiating cells (GSC) are found to play a crucial role by increasing cancer aggressiveness and promoting resistanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::780749c0cfe97240ffa3b9f157c08431
https://doi.org/10.1158/0008-5472.c.6509108.v1
https://doi.org/10.1158/0008-5472.c.6509108.v1
Autor:
Jason B. Fleming, Eric P. Tamm, Priya Bhosale, Huamin Wang, Matthew H. Katz, Christopher H. Crane, Michael P. Kim, Cullen M. Taniguchi, Anirban Maitra, Mauro Ferrari, Jeffrey E. Lee, Prajnan Das, Rachna T. Shroff, Gauri R. Varadhachary, Milind Javle, Robert A. Wolff, Newsha Nikzad, Mohamed Zaid, Anil Chauhan, Shun Yu, Kim A. Reiss, Naveen Garg, Dali Li, Mayrim V. Rios Perez, Peter C. Park, Huaming Yan, Deyali Chatterjee, Ahmed M. Amer, Muayad Almahariq, Dalia Elganainy, Rong Ye, Brian P. Hobbs, F. Anthony San Lucas, Ya'an Kang, John S. Lowengrub, Vittorio Cristini, Yeonju Lee, Eugene J. Koay
Mathematical model simulation of high delta tumor growth (lambda = 1.5)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5fd46f9c296eb754e8fe9c13be3a64c
https://doi.org/10.1158/1078-0432.22470225.v1
https://doi.org/10.1158/1078-0432.22470225.v1