All statistical analyses were performed using the

All statistical analyses were performed using the commercial software Statistical Package for Social Science (SPSS, version 23.0, IL, USA) and NCSS Data version 11.0 (NCSS, LLC). Figures with a p-value<0.05 were considered statistically significant.
Data Here, we provide the expression profile of gene involved in the control of redox homeostasis in the pectoralis muscle of three groups of king penguin juveniles (Aptenodytes patagonicus) differing in their degree of acclimation to marine environment. Targeted genes are clustered into six groups as follow: the genes encoding proteins involved in non-mitochondrial ROS generation (Cluster 1), antioxydant enzymes (cluster 2), heat choc and chaperone proteins (Cluster 3), DNA repairs processes (Cluster 4), repair or degradation of damaged proteins (Cluster 5) and lipid membrane composition remodeling (Cluster 6). For each gene we provide its symbol, its name, the corresponding Affymetrix ProbeSet identification number and the percentage change of expression as compared to never-immersed control penguins.
Experimental design, materials and methods
Conflict of interest
Acknowledgments We would like to acknowledge the French Polar Institute (IPEV-Institut Paul Emile Victor) which provided funding (programme IPEV 131) and logistical assistance in the field and the ProfilExpert plateform (Lyon) that performed the microarray hybridization.
Data This article contains graphs presenting data on the role of p53 tumor-suppressor gene[2-5] in IGF-IR expression and breast cancer cell adhesion (Fig. 1). Furthermore, technical details for the performance of the MCF-7 cells’ adhesion assay including number of plated plk1 inhibitor and the adherence time for the MCF-7 cell adhesion protocol, are included (Fig. 2). Utilized reagents are presented in Table 1.
Experimental design, materials and methods In order to optimize the adhesion assay protocol we utilized various cell seeding numbers and adhesion times. Cell lines and cell culture conditions are presented in [1]. In this article additional technical features of cell adhesion assay are provided.
Acknowledgements This research has been co- financed by the European Union (European Social Fund, Belgium-SF) and Greek National Funds through the Operational Program “Education and Lifelong Learning” of the National Strategic Reference Framework (NSRF) Research Funding Program: Thales; Investing in knowledge society through the European Social Fund (MIS 380222).
Data The data in this article include hematoxylin and eosin (H&E) histological visualization of uterine tissue changes that naturally occur during early mouse pregnancy (Fig. 1). A schematic (Fig. 2) (included in part in [1]) is presented for anatomical spatial orientation of dynamic basement membranes (BMs) that is beneficial in cross-examination of BM ultrastructure (Fig. 3) and localization of individual components: peroxidasin (Fig. 4); GPBP (Fig. 5); GPBP-1, a variant of GPBP that can be trafficked to extracellular spaces (Fig. 6); and collagen IV and laminin (Fig. 7).
Materials and methods
Conflict of interest
Data The high dietary intake of saturated fatty acids (SFA), which is the leading cause of obesity, frequently causes ectopic lipid accumulation and increase the risk of insulin resistance in non-adipose tissues, such as the liver and skeletal muscle [2]. The expression of certain miRNAs targeting the insulin signaling molecules is modulated aberrantly in diet-induced obesity, which participates actively in the pathogenesis of insulin resistance [3,4]. A previous study reported that SFA palmitate induces miR-1271 in HepG2 hepatocytes, and the expression of INSR and IRS-1 is suppressed by targeting their 3’UTR directly [1]. This means that certain miRNA induced by SFA could be linked causally to the development of hepatic insulin resistance and further to type 2 diabetes. This paper reports accompanying data collected from Affymetrix GeneChip microarrays to identify the changes in miRNA expression in HepG2 cells treated with SFA palmitate. Differentially expressed microRNA analyses in HepG2 cells (Supplementary File. 1) revealed a range of miRNAs upregulated more than 1.5-fold (Supplementary File. 2) or downregulated less than 0.5-fold (Supplementary File. 3). Among those differentially expressed miRNAs, upregulated miRNAs have implications on the reduction of INSR and IRS-1 observed in palmitate-treated HepG2 cells [1]. Further analysis of the data and insights into the implications of miRNAs, especially miR-1271, in HepG2 cells are reported in another publication [1].