Automated Author Profile

Dooley, Steven

Current S-Index

7.2

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.6

Average Dataset Index per dataset

Total Datasets

13

Total datasets for this author

Average FAIR Score

78.7%

Average FAIR Score per dataset

Total Citations

4

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Additional file 2 of Dysregulated paired related homeobox 1 impacts on hepatocellular carcinoma phenotypes

Additional file 2: Table S2. PRRX1 positively and negatively correlated genes in TCGA liver cancer data.

Authors

  • Piorońska, Weronika ;
  • Nwosu, Zeribe Chike ;
  • Han, Mei ;
  • Büttner, Michael ;
  • Ebert, Matthias Philip ;
  • Dooley, Steven ;
  • Meyer, Christoph
0 Citations0 Mentions15% FAIR0.1 Dataset Index
10.6084/m9.figshare.165904702021

Additional file 3 of Dysregulated paired related homeobox 1 impacts on hepatocellular carcinoma phenotypes

Additional file 3: Table S10. Genes differentially expressed in PRRX1-high tumours relative to PRRX1-low tumours.

Authors

  • Piorońska, Weronika ;
  • Nwosu, Zeribe Chike ;
  • Han, Mei ;
  • Büttner, Michael ;
  • Ebert, Matthias Philip ;
  • Dooley, Steven ;
  • Meyer, Christoph
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.16590473.v12021

Additional file 3 of Dysregulated paired related homeobox 1 impacts on hepatocellular carcinoma phenotypes

Additional file 3: Table S10. Genes differentially expressed in PRRX1-high tumours relative to PRRX1-low tumours.

Authors

  • Piorońska, Weronika ;
  • Nwosu, Zeribe Chike ;
  • Han, Mei ;
  • Büttner, Michael ;
  • Ebert, Matthias Philip ;
  • Dooley, Steven ;
  • Meyer, Christoph
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.165904732021

Additional file 2 of Dysregulated paired related homeobox 1 impacts on hepatocellular carcinoma phenotypes

Additional file 2: Table S2. PRRX1 positively and negatively correlated genes in TCGA liver cancer data.

Authors

  • Piorońska, Weronika ;
  • Nwosu, Zeribe Chike ;
  • Han, Mei ;
  • Büttner, Michael ;
  • Ebert, Matthias Philip ;
  • Dooley, Steven ;
  • Meyer, Christoph
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.16590470.v12021

Additional file 5: of Liver cancer cell lines distinctly mimic the metabolic gene expression pattern of the corresponding human tumours

Table S4. Consistent genes in all four human HCC datasets analysed in this study. These are the genes differentially upregulated (in bold, n = 2017) or downregulated (n = 1547, P

Authors

  • Zeribe Nwosu ;
  • Battello, Nadia ;
  • Rothley, Melanie ;
  • Piorońska, Weronika ;
  • Sitek, Barbara ;
  • Ebert, Matthias ;
  • Hofmann, Ute ;
  • Sleeman, Jonathan ;
  • Wölfl, Stefan ;
  • Meyer, Christoph ;
  • Megger, Dominik ;
  • Dooley, Steven
1 Citation0 Mentions85% FAIR0.9 Dataset Index
10.6084/m9.figshare.7040513.v12018

Additional file 5: of Liver cancer cell lines distinctly mimic the metabolic gene expression pattern of the corresponding human tumours

Table S4. Consistent genes in all four human HCC datasets analysed in this study. These are the genes differentially upregulated (in bold, n = 2017) or downregulated (n = 1547, P

Authors

  • Zeribe Nwosu ;
  • Battello, Nadia ;
  • Rothley, Melanie ;
  • Piorońska, Weronika ;
  • Sitek, Barbara ;
  • Ebert, Matthias ;
  • Hofmann, Ute ;
  • Sleeman, Jonathan ;
  • Wölfl, Stefan ;
  • Meyer, Christoph ;
  • Megger, Dominik ;
  • Dooley, Steven
1 Citation0 Mentions85% FAIR0.7 Dataset Index
10.6084/m9.figshare.70405132018

Additional file 7: of Liver cancer cell lines distinctly mimic the metabolic gene expression pattern of the corresponding human tumours

Table S6. Proteomics profile of HUH7 vs HLE cell lines. Expression pattern of proteins for which at least 2 peptides were detected in the cell lines after 48 h culture. When compared, 797 proteins emerged as more expressed in HLE cells whereas 616 proteins were more expressed in HUH7 (adjusted P

Authors

  • Zeribe Nwosu ;
  • Battello, Nadia ;
  • Rothley, Melanie ;
  • Piorońska, Weronika ;
  • Sitek, Barbara ;
  • Ebert, Matthias ;
  • Hofmann, Ute ;
  • Sleeman, Jonathan ;
  • Wölfl, Stefan ;
  • Meyer, Christoph ;
  • Megger, Dominik ;
  • Dooley, Steven
1 Citation0 Mentions85% FAIR0.7 Dataset Index
10.6084/m9.figshare.70405402018

Additional file 7: of Liver cancer cell lines distinctly mimic the metabolic gene expression pattern of the corresponding human tumours

Table S6. Proteomics profile of HUH7 vs HLE cell lines. Expression pattern of proteins for which at least 2 peptides were detected in the cell lines after 48 h culture. When compared, 797 proteins emerged as more expressed in HLE cells whereas 616 proteins were more expressed in HUH7 (adjusted P

Authors

  • Zeribe Nwosu ;
  • Battello, Nadia ;
  • Rothley, Melanie ;
  • Piorońska, Weronika ;
  • Sitek, Barbara ;
  • Ebert, Matthias ;
  • Hofmann, Ute ;
  • Sleeman, Jonathan ;
  • Wölfl, Stefan ;
  • Meyer, Christoph ;
  • Megger, Dominik ;
  • Dooley, Steven
1 Citation0 Mentions85% FAIR0.9 Dataset Index
10.6084/m9.figshare.7040540.v12018

Modulation of Insulin Degrading Enzyme activity and liver cell proliferation

Diabetes mellitus type 2 (T2DM), insulin therapy, and hyperinsulinemia are independent risk factors of liver cancer. Recently, the use of a novel inhibitor of insulin degrading enzyme (IDE) was proposed as a new therapeutic strategy in T2DM. However, IDE inhibition might stimulate liver cell proliferation via increased intracellular insulin concentration. The aim of this study was to characterize effects of inhibition of IDE activity in HepG2 hepatoma cells and to analyze liver specific expression of IDE in subjects with T2DM. HepG2 cells were treated with 10 nM insulin for 24 h with or without inhibition of IDE activity using IDE RNAi, and cell transcriptome and proliferation rate were analyzed. Human liver samples (n=22) were used for the gene expression profiling by microarrays. In HepG2 cells, IDE knockdown changed expression of genes involved in cell cycle and apoptosis pathways. Proliferation rate was lower in IDE knockdown cells than in controls. Microarray analysis revealed the decrease of hepatic IDE expression in subjects with T2DM accompanied by the downregulation of the p53-dependent genes FAS and CCNG2, but not by the upregulation of proliferation markers MKI67, MCM2 and PCNA. Similar results were found in the liver microarray dataset from GEO Profiles database. In conclusion, IDE expression is decreased in liver of subjects with T2DM which is accompanied by the dysregulation of p53 pathway. Prolonged use of IDE inhibitors for T2DM treatment should be carefully tested in animal studies regarding its potential effect on hepatic tumorigenesis.

Authors

  • Pivovarova, Olga ;
  • Loeffelholz, Christian Von ;
  • Ilkavets, Iryna ;
  • Sticht, Carsten ;
  • Zhuk, Sergei ;
  • Murahovschi, Veronica ;
  • Lukowski, Sonja ;
  • Döcke, Stephanie ;
  • Kriebel, Jennifer ;
  • Gala, Tonia De Las Heras ;
  • Malashicheva, Anna ;
  • Kostareva, Anna ;
  • Lock, Johan F ;
  • Stockmann, Martin ;
  • Grallert, Harald ;
  • Gretz, Norbert ;
  • Dooley, Steven ;
  • Pfeiffer, Andreas FH ;
  • Rudovich, Natalia
0 Citations0 Mentions85% FAIR0.7 Dataset Index
10.6084/m9.figshare.1405694.v12015

Modulation of insulin degrading enzyme activity and liver cell proliferation

Diabetes mellitus type 2 (T2DM), insulin therapy, and hyperinsulinemia are independent risk factors of liver cancer. Recently, the use of a novel inhibitor of insulin degrading enzyme (IDE) was proposed as a new therapeutic strategy in T2DM. However, IDE inhibition might stimulate liver cell proliferation via increased intracellular insulin concentration. The aim of this study was to characterize effects of inhibition of IDE activity in HepG2 hepatoma cells and to analyze liver specific expression of IDE in subjects with T2DM. HepG2 cells were treated with 10 nM insulin for 24 h with or without inhibition of IDE activity using IDE RNAi, and cell transcriptome and proliferation rate were analyzed. Human liver samples (n = 22) were used for the gene expression profiling by microarrays. In HepG2 cells, IDE knockdown changed expression of genes involved in cell cycle and apoptosis pathways. Proliferation rate was lower in IDE knockdown cells than in controls. Microarray analysis revealed the decrease of hepatic IDE expression in subjects with T2DM accompanied by the downregulation of the p53-dependent genes FAS and CCNG2, but not by the upregulation of proliferation markers MKI67, MCM2 and PCNA. Similar results were found in the liver microarray dataset from GEO Profiles database. In conclusion, IDE expression is decreased in liver of subjects with T2DM which is accompanied by the dysregulation of p53 pathway. Prolonged use of IDE inhibitors for T2DM treatment should be carefully tested in animal studies regarding its potential effect on hepatic tumorigenesis.

Authors

  • Pivovarova, Olga ;
  • Loeffelholz, Christian Von ;
  • Ilkavets, Iryna ;
  • Sticht, Carsten ;
  • Zhuk, Sergei ;
  • Murahovschi, Veronica ;
  • Lukowski, Sonja ;
  • Döcke, Stephanie ;
  • Kriebel, Jennifer ;
  • Gala, Tonia De Las Heras ;
  • Malashicheva, Anna ;
  • Kostareva, Anna ;
  • Lock, Johan F ;
  • Stockmann, Martin ;
  • Grallert, Harald ;
  • Gretz, Norbert ;
  • Dooley, Steven ;
  • Pfeiffer, Andreas FH ;
  • Rudovich, Natalia
0 Citations0 Mentions81% FAIR0.5 Dataset Index
10.6084/m9.figshare.1405694.v42015