Models

Dataset Information

0

Vibert2017 - Tcell proliferation model


ABSTRACT: model allows us to infer proliferation rates and cell cycle phase durations from complex experimental 5-ethynyl-2'-deoxyuridine (EdU) data, revealing T cell proliferation heterogeneity and specific signatures. Model is encoded by Matthew Maire and submitted in BioModels by Krishna Kumar Tiwari.

SUBMITTER: Krishna Kumar Tiwari  

PROVIDER: MODEL2003170002 | BioModels | 2020-03-17

REPOSITORIES: BioModels

Dataset's files

Source:
Action DRS
MODEL2003170002?filename=Vibert2017.cps Other
MODEL2003170002?filename=Vibert2017.sedml Other
MODEL2003170002?filename=Vibert2017.xml Xml
Items per page:
1 - 3 of 3
altmetric image

Publications

Modelling T cell proliferation: Dynamics heterogeneity depending on cell differentiation, age, and genetic background.

Vibert Julien J   Thomas-Vaslin Véronique V  

PLoS computational biology 20170313 3


Cell proliferation is the common characteristic of all biological systems. The immune system insures the maintenance of body integrity on the basis of a continuous production of diversified T lymphocytes in the thymus. This involves processes of proliferation, differentiation, selection, death and migration of lymphocytes to peripheral tissues, where proliferation also occurs upon antigen recognition. Quantification of cell proliferation dynamics requires specific experimental methods and mathem  ...[more]

Similar Datasets

2020-05-06 | MODEL2003180001 | BioModels
2020-03-18 | MODEL2003180002 | BioModels
2020-03-19 | MODEL2003190005 | BioModels
2020-03-19 | MODEL2003190004 | BioModels
2020-03-19 | MODEL2003180003 | BioModels
2020-03-05 | MODEL2003030003 | BioModels
2020-03-05 | MODEL2003030002 | BioModels
2024-09-02 | BIOMD0000000930 | BioModels
| PRJNA706881 | ENA
2018-01-19 | E-MTAB-5862 | biostudies-arrayexpress