A comprehensive investigation on liver regeneration: a meta-analysis and systems biology approach
A comprehensive investigation on liver regeneration: a meta-analysis and systems biology approach
نویسندگان: سولماز اثناعشری , الهام امجد سقین سرا , بابک سکوتی
کلمات کلیدی: liver regeneration, meta-analysis, systematic review, systems biology, gene
نشریه: 0 , 2 , 7 , 2021
| نویسنده ثبت کننده مقاله |
بابک سکوتی |
| مرحله جاری مقاله |
تایید نهایی |
| دانشکده/مرکز مربوطه |
مرکز تحقیقات بیوتکنولوژی(زیست فناوری) |
| کد مقاله |
76342 |
| عنوان فارسی مقاله |
A comprehensive investigation on liver regeneration: a meta-analysis and systems biology approach |
| عنوان لاتین مقاله |
A comprehensive investigation on liver regeneration: a meta-analysis and systems biology approach |
| ناشر |
3 |
| آیا مقاله از طرح تحقیقاتی و یا منتورشیپ استخراج شده است؟ |
خیر |
| عنوان نشریه (خارج از لیست فوق) |
Clinical and Experimental Hepatology |
| نوع مقاله |
متاآنالیز |
| نحوه ایندکس شدن مقاله |
ایندکس شده سطح یک – ISI - Web of Science |
| آدرس لینک مقاله/ همایش در شبکه اینترنت |
|
| Introduction
Liver regeneration is one of the essential fields of regenerative medicine as a branch of tissue engineering and molecular biology that draws global researchers’ attention. This study aims to conduct a systematic review and meta-analysis on the high-throughput gene expression microarray dataset of liver regeneration on the NCBI-GEO database to identify the significant genes and signaling pathways and confirm the genes from literature studies on associated diseases.
Material and methods
We thoroughly searched the NCBI-GEO database to retrieve and screen the GEO microarray datasets’ contents. Due to the inclusion of different species in eligible GEO datasets in the meta-analysis, the list of significant genes for the random-effects model were identified. Moreover, we carried out detailed gene analyses for three main gene ontology components and the KEGG signaling pathway. Furthermore, we investigated the possibility of genes’ association with liver cancer through the Kaplan-Meier plot.
Results
The random-effects model from six eligible GEO datasets identified 71 genes with eight down-regulated and 63 up-regulated genes. The target genes are involved in various cellular functions such as cell proliferation, cell death, and cell cycle control. Finally, we noted that 58 out of 71 genes are associated with different types of diseases related explicitly to other liver and inflammation diseases.
Conclusions
The current study assessed various GEO datasets at the early stages of liver regeneration with promising results. The present systematic review and meta-analysis results are beneficial for future novel drug design and discovery specifically for patients in the liver transplantation process. |
| نام فایل |
تاریخ درج فایل |
اندازه فایل |
دانلود |
| CEH_Art_44626-10.pdf | 1400/04/23 | 122584 | دانلود |