| Chapter title |
In Vitro and Ex Vivo Models to Study T Cell Migration Through the Human Liver Parenchyma
|
|---|---|
| Chapter number | 14 |
| Book title |
T-Cell Trafficking
|
| Published in |
Methods in molecular biology, March 2017
|
| DOI | 10.1007/978-1-4939-6931-9_14 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6929-6, 978-1-4939-6931-9
|
| Authors |
Benjamin G. Wiggins M.Res., Konstantinos Aliazis M.Sc., Scott P. Davies M.Res., Gideon Hirschfield Ph.D. F.R.C.P., Patricia F. Lalor Ph.D., Gary Reynolds Ph.D., Zania Stamataki M.Sc., Ph.D., Benjamin G. Wiggins, Konstantinos Aliazis, Scott P. Davies, Gideon Hirschfield, Patricia F. Lalor, Gary Reynolds, Zania Stamataki |
| Editors |
George Edward Rainger, Helen M. Mcgettrick |
| Abstract |
The liver is the largest internal organ and filters around 3 pints of blood per minute. This continuous flux of blood should not be confused with rapid egress of lymphocytes through the liver; this organ has intricate corridors of specialized sinusoidal spaces, ensuring that immune cells decelerate to shear flow rates, and providing ample opportunities to interact with parenchymal cells. Migration has been intricately linked to T cell function; it is therefore important to study liver T cell biology into context within the liver microenvironment. Here we discuss the highly organized architecture of liver-resident cells (sinusoidal endothelia, Kupffer cells, stellate cells/myofibroblasts, and biliary and hepatic epithelia) and showcase basic, multicellular, and complex systems to model T cell migration through the human liver microenvironment in vitro and ex vivo. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 33% |
| Lecturer > Senior Lecturer | 2 | 22% |
| Student > Bachelor | 1 | 11% |
| Unknown | 3 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 2 | 22% |
| Medicine and Dentistry | 2 | 22% |
| Agricultural and Biological Sciences | 1 | 11% |
| Engineering | 1 | 11% |
| Unknown | 3 | 33% |