Impact of monocarbonyl analogs of curcumin (MACs) C66 and B2BrBC on the expression of diabetes-associated genes in streptozotocin-treated rat pancreatic RIN-m cells—Quantitative RT-PCR array data

This paper presents a dataset obtained from an RT<sup>2</sup>-qPCR array analysis of rat pancreatic RIN-m cells treated with two monocarbonyl analogs of curcumin (MACs), C66 and B2BrBC in the presence or absence of streptozotocin (STZ). The array quantified the expression of 84 genes associated with the onset, development, and progression of diabetes. This dataset provides information on the gene expression profiles of pancreatic cells modulated by two specific MACs in a diabetic context. The data can serve as a foundation for developing new hypotheses, designing follow-up experiments, and identifying novel targets for treatment. It can be used to investigate further the molecular mechanisms underlying the therapeutic effects of these MACs and in comparative studies using other experimental antidiabetic compounds.

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Publication Details

Journal
Data in Brief
Published
2024-09-17
DOI
https://doi.org/10.1016/j.dib.2024.110952
Citations
1
Primary Topic
Curcumin's Biomedical Applications
Type
article
Field-Weighted Citation Impact
0.17

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article

Impact of monocarbonyl analogs of curcumin (MACs) C66 and B2BrBC on the expression of diabetes-associated genes in streptozotocin-treated rat pancreatic RIN-m cells—Quantitative RT-PCR array data

Jane Bogdanov, Radoslav Stojchevski, Mitko Mladenov, Sara Velichkovikj et al.
1 citations
Data in Brief
Curcumin's Biomedical Applications
0.17
article

Impact of monocarbonyl analogs of curcumin (MACs) C66 and B2BrBC on the expression of diabetes-associated genes in streptozotocin-treated rat pancreatic RIN-m cells—Quantitative RT-PCR array data

Jane Bogdanov, Radoslav Stojchevski, Mitko Mladenov, Sara Velichkovikj, Leonid Poretsky, Nikola Hadzi‐Petrushev, Dimiter Avtanski
article en
1 citations

Abstract

This paper presents a dataset obtained from an RT<sup>2</sup>-qPCR array analysis of rat pancreatic RIN-m cells treated with two monocarbonyl analogs of curcumin (MACs), C66 and B2BrBC in the presence or absence of streptozotocin (STZ). The array quantified the expression of 84 genes associated with the onset, development, and progression of diabetes. This dataset provides information on the gene expression profiles of pancreatic cells modulated by two specific MACs in a diabetic context. The data can serve as a foundation for developing new hypotheses, designing follow-up experiments, and identifying novel targets for treatment. It can be used to investigate further the molecular mechanisms underlying the therapeutic effects of these MACs and in comparative studies using other experimental antidiabetic compounds.

Data in BriefVol. 57
Northwell Health (US), Feinstein Institute for Medical Research (US), Lenox Hill Hospital (US), Donald & Barbara Zucker School of Medicine at Hofstra/Northwell (US), Ss. Cyril and Methodius University in Skopje (MK)
Fondation pour la Recherche Médicale
Good health and well-being
Openalex Percentile: Top 57%
Curcumin's Biomedical Applications
0.17
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