CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Comparison of different methods of rat hepatic stellate cells isolation, labeling and transplantation
Authors
Burganova G.
Gazizov I.
+11 more
Gumerova A.
Kaligin M.
Kiassov A.
Mavlikeev M.
Rizvanov A.
Shafigullina A.
Sharipova E.
Tabanakova A.
Titova A.
Titova M.
Trondin A.
Publication date
1 January 2013
Publisher
Abstract
Nowadays more and more attention is turned to hepatic stellate cells (HSC) and their role in liver regeneration. Nonetheless there are several methodological questions, for example, methods of HSC isolation, their labeling and ways of transplantation. In this work we compared two different methods of HSC isolation: collagenase-pronase liver perfusion with further Histodenz density gradient centrifugation and method of Seglen for isolation of hepatocytes associated with HSC. We also analyzed diverse methods of cells labeling: membrane fluorescent labels PKH26 and with gene of green fluorescent protein (GFP), that could be get into the cells by electroporation, with chemicals like TurboFect or by adenovirus. Then cells were transplanted into rats in two ways: into lien and into system of portal vein. According to our results, we able to conclude that collagenase-pronase liver perfusion with further cells gradient centrifugation in Histodenz is better for HSC isolation than method of Seglen, the most optimal method for cells labeling is with adenovirus, expressing the GFP gene, for HSC transplantation - Transplantation into system of portal vein. © Human stem cells institute, 2013
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
Kazan Federal University Digital Repository
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:dspace.kpfu.ru:net/140639
Last time updated on 07/05/2019