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Studying liver regeneration by means of molecular biology: How far we are in interpreting the findings?
David Rychtrmoc, Antonín Libra, Martin Bunček, Tomáš Garnol, Zuzana Červinková
Jazyk angličtina Země Česko
Typ dokumentu přehledy
Digitální knihovna NLK
Plný text - Článek
Číslo
Ročník
Zdroj
Zdroj
NLK
Directory of Open Access Journals
od 1997
Free Medical Journals
od 1997
Open Access Digital Library
od 1997-01-01
ROAD: Directory of Open Access Scholarly Resources
od 1997
- MeSH
- exprese genu MeSH
- financování organizované MeSH
- játra metabolismus MeSH
- lidé MeSH
- regenerace jater fyziologie genetika MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- zvířata MeSH
- Publikační typ
- přehledy MeSH
Liver regeneration in mammals is a unique phenomenon attracting scientific interest for decades. It is a valuable model for basic biology research of cell cycle control as well as for clinically oriented studies of wide and heterogeneous group of liver diseases. This article provides a concise review of current knowledge about the liver regeneration, focusing mainly on rat partial hepatectomy model. The three main recognized phases of the regenerative response are described. The article also summarizes history of molecular biology approaches to the topic and finally comments on obstacles in interpreting the data obtained from large scale microarray-based gene expression analyses.
Citace poskytuje Crossref.org
Lit.: 67
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- $a Liver regeneration in mammals is a unique phenomenon attracting scientific interest for decades. It is a valuable model for basic biology research of cell cycle control as well as for clinically oriented studies of wide and heterogeneous group of liver diseases. This article provides a concise review of current knowledge about the liver regeneration, focusing mainly on rat partial hepatectomy model. The three main recognized phases of the regenerative response are described. The article also summarizes history of molecular biology approaches to the topic and finally comments on obstacles in interpreting the data obtained from large scale microarray-based gene expression analyses.
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