Project description:Lobachevsky University DNAm dataset. Whole blood DNA Methylation (EPIC) profiles from healthy samples from two regions: central Russia (131 samples) and Yakutia (114 samples) obtained in the Laboratory of System Medicine for Healthy Aging, Lobachevsky State University of Nizhny Novgorod, Russia Dataset contains DNAm data from 245 healthy control samples from two regions: central Russia (131) and Yakutia (114). The following characteristics are available for all samples: sex, age, region. Healthy participants in the central Russia region were recruited in 2019–2022. Yakutian participants we recruited in 2022. All measurements were performed at the Laboratory of System Medicine for Healthy Aging, Lobachevsky State University of Nizhny Novgorod, Russia.
Project description:Taxonomic structure and microcystin-lr degrading potential of indigenous bacterioplankton from different types of cryolithozone lakes (Yakutia, Russia) Raw sequence reads
Project description:Analysis of Foxp3(+)epigenetics(-) T cells, Foxp3(-)epigenetics(+) T cells, and Foxp3(+)epigenetics(+) T cells. Results indicate regulatory T cell (Treg) ontogenesis requires two independent processes, expression of the transcription factor Foxp3 and establishment of Treg epigenetic programs induced by T cell receptor (TCR) stimulation.
Project description:Gene expression of peripheral regions and central regions from HT-29 tumors Sample tissues were immediately frozen by liquid nitrogen after isolation. Total RNAs were extracted from samples with a PureLink RNA Mini Kit (Life Technologies). The integrity of total RNAs was evaluated using an Agilent 2100 Bioanalyzer (Agilent Technologies, Santa Clara, CA, USA). Low Input Quick Amp Labeling Kit, one-color (Agilent Technologies) was used to prepare Cy3-labelled target cRNA according to the manufacturer's instructions. Labeled cRNAs were hybridized with a SurePrint G3 Human GE 8M-CM-^W60K Microarrays (Agilent Technologies). Three separate hybridizations were performed for each sample. Array images were captured using a DNA Microarray Scanner (Agilent Technologies), and data were analyzed using Feature Extraction Software (Agilent Technologies) to obtain background-corrected signal intensities. Data were further analyzed with GeneSpring GX Software (Version 11.0, Agilent Technologies). After data filtering, mRNAs differentially expressed in target cells versus controls were assessed by FisherM-bM-^@M-^Ys exact test, followed by multiple corrections using the Benjamini and Hochberg false discovery rate (FDR) method. Gene sets with a FDR q-value < 0.05 were considered to be significant.