scholarly journals Correlation between liver cancer occurrence and gene expression profiles in rat liver tissue

2011 ◽  
Vol 10 (4) ◽  
pp. 3480-3513 ◽  
Author(s):  
C.S. Xu ◽  
G.P. Wang ◽  
L.X. Zhang ◽  
C.F. Chang ◽  
J. Zhi ◽  
...  
Keyword(s):  
Gene Expression ◽  
Liver Cancer ◽  
Rat Liver ◽  
Liver Tissue ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Cancer Occurrence

Gene expression profiles reveal significant differences between rat liver cancer and liver regeneration

Gene ◽  
2012 ◽  
Vol 504 (1) ◽  
pp. 41-52 ◽  
Author(s):  
Gaiping Wang ◽  
Cunshuan Xu ◽  
Jia Zhi ◽  
Yunpeng Hao ◽  
Lianxing Zhang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Liver Cancer ◽  
Liver Regeneration ◽  
Rat Liver ◽  
Expression Profiles ◽  
Gene Expression Profiles

scholarly journals CancerLivER: a database of liver cancer gene expression resources and biomarkers

Database ◽  
2020 ◽  
Vol 2020 ◽  
Author(s):  
Harpreet Kaur ◽  
Sherry Bhalla ◽  
Dilraj Kaur ◽  
Gajendra PS Raghava
Keyword(s):  
Gene Expression ◽  
Liver Cancer ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Gene Expression Profiles ◽  
Full Potential ◽  
Individual Gene ◽  
Comprehensive Information ◽  
Tremendous Amount ◽  
Disease Specific

Abstract Liver cancer is the fourth major lethal malignancy worldwide. To understand the development and progression of liver cancer, biomedical research generated a tremendous amount of transcriptomics and disease-specific biomarker data. However, dispersed information poses pragmatic hurdles to delineate the significant markers for the disease. Hence, a dedicated resource for liver cancer is required that integrates scattered multiple formatted datasets and information regarding disease-specific biomarkers. Liver Cancer Expression Resource (CancerLivER) is a database that maintains gene expression datasets of liver cancer along with the putative biomarkers defined for the same in the literature. It manages 115 datasets that include gene-expression profiles of 9611 samples. Each of incorporated datasets was manually curated to remove any artefact; subsequently, a standard and uniform pipeline according to the specific technique is employed for their processing. Additionally, it contains comprehensive information on 594 liver cancer biomarkers which include mainly 315 gene biomarkers or signatures and 178 protein- and 46 miRNA-based biomarkers. To explore the full potential of data on liver cancer, a web-based interactive platform was developed to perform search, browsing and analyses. Analysis tools were also integrated to explore and visualize the expression patterns of desired genes among different types of samples based on individual gene, GO ontology and pathways. Furthermore, a dataset matrix download facility was provided to facilitate the users for their extensive analysis to elucidate more robust disease-specific signatures. Eventually, CancerLivER is a comprehensive resource which is highly useful for the scientific community working in the field of liver cancer.Availability: CancerLivER can be accessed on the web at https://webs.iiitd.edu.in/raghava/cancerliver.

Comparison of hepatocarcinogen-induced gene expression profiles in conventional primary rat hepatocytes with in vivo rat liver

2012 ◽  
Vol 86 (9) ◽  
pp. 1399-1411 ◽  
Author(s):  
Tatyana Y. Doktorova ◽  
Heidrun Ellinger-Ziegelbauer ◽  
Mathieu Vinken ◽  
Tamara Vanhaecke ◽  
Joost van Delft ◽  
...  
Keyword(s):  
Gene Expression ◽  
Rat Liver ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Rat Hepatocytes ◽  
Primary Rat Hepatocytes

Gene expression profiles predict the possible regulatory role of OPN-mediated signaling pathways in rat liver regeneration

Gene ◽  
2016 ◽  
Vol 576 (2) ◽  
pp. 782-790 ◽  
Author(s):  
Gaiping Wang ◽  
Shasha Chen ◽  
Congcong Zhao ◽  
Xiaofang Li ◽  
Ling Zhang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Liver Regeneration ◽  
Signaling Pathways ◽  
Rat Liver ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Regulatory Role ◽  
Rat Liver Regeneration

Gene Expression Profiles in Rat Liver Slices Exposed to Hepatocarcinogenic Enzyme Inducers, Peroxisome Proliferators, and 17α-Ethinylestradiol

2006 ◽  
Vol 25 (5) ◽  
pp. 379-395 ◽  
Author(s):  
Gisela Werle-Schneider ◽  
Andreas Wölfelschneider ◽  
Marie Charlotte von Brevern ◽  
Julia Scheel ◽  
Thorsten Storck ◽  
...  
Keyword(s):  
Gene Expression ◽  
Rat Liver ◽  
Mode Of Action ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Peroxisome Proliferators ◽  
Liver Slices ◽  
Enzyme Inducers

Transcription profiling is used as an in vivo method for predicting the mode-of-action class of nongenotoxic carcinogens. To set up a reliable in vitro short-term test system DNA microarray technology was combined with rat liver slices. Seven compounds known to act as tumor promoters were selected, which included the enzyme inducers phenobarbital, α-hexachlorocyclohexane, and cyproterone acetate; the peroxisome proliferators WY-14,643, dehydroepiandrosterone, and ciprofibrate; and the hormone 17 α-ethinylestradiol. Rat liver slices were exposed to various concentrations of the compounds for 24 h. Toxicology-focused TOXaminer™ DNA microarrays containing approximately 1500 genes were used for generating gene expression profiles for each of the test compound. Hierarchical cluster analysis revealed that (i) gene expression profiles generated in rat liver slices in vitro were specific allowing classification of compounds with similar mode of action and (ii) expression profiles of rat liver slices exposed in vitro correlate with those induced after in vivo treatment (reported previously). Enzyme inducers and peroxisome proliferators formed two separate clusters, confirming that they act through different mechanisms. Expression profiles of the hormone 17 α-ethinylestradiol were not similar to any of the other compounds. In conclusion, gene expression profiles induced by compounds that act via similar mechanisms showed common effects on transcription upon treatment in vivo and in rat liver slices in vitro.

scholarly journals Age and Diet Affect Gene Expression Profiles in Canine Liver Tissue

PLoS ONE ◽  
2010 ◽  
Vol 5 (10) ◽  
pp. e13319 ◽  
Author(s):  
Dong Yong Kil ◽  
Brittany M. Vester Boler ◽  
Carolyn J. Apanavicius ◽  
Lawrence B. Schook ◽  
Kelly S. Swanson
Keyword(s):  
Gene Expression ◽  
Liver Tissue ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Affect Gene Expression

Gene expression profiles of drug-metabolizing enzymes (DMEs) in rat liver during pregnancy and lactation

2007 ◽  
Vol 83 (3) ◽  
pp. 428-434 ◽  
Author(s):  
Xi Jun He ◽  
Hirofumi Yamauchi ◽  
Kazuhiko Suzuki ◽  
Masaki Ueno ◽  
Hiroyuki Nakayama ◽  
...  
Keyword(s):  
Gene Expression ◽  
Rat Liver ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Drug Metabolizing Enzymes ◽  
Metabolizing Enzymes ◽  
Pregnancy And Lactation
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