Ontology highlight
ABSTRACT:
PROVIDER: PRJNA854274 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Kazakh cattle and Xinjiang brown cattle Raw sequence reads
| PRJNA532321 | ENA
Project description:NGS and analysis of Kazakh genomes
| PRJEB76421 | ENA
Project description:Genotyping of hundreds of healthy individuals with Kazakh ethnicity as a reference cohort for further genetic investigations
2024-10-04 | GSE199322 | GEO
Project description:Investigate long non-coding RNA (lncRNA) expression characteristics in the peripheral blood lymphocytes of Xinjiang Kazakh people with essential hypertension.
2023-06-10 | GSE234085 | GEO
Project description:Duplicated sequences are the important source of gene innovation and structural variation within mammalian genomes. Using a read depth approach based on next-generation sequencing, we performed a genome-wide analysis of segmental duplications (SDs) and associated copy number variants (CNVs) in water buffalo (Bubalus bubalis). Aligning to the UMD3.1 cattle genome, we estimated 44.6 Mb (~1.73% of cattle genome) segmental duplications in the autosomes and X chromosome using the sequencing reads of Olimpia (the sequenced water buffalo). 70.3% (70/101) duplications were experimentally validated using the fluorescent in situ hybridization. We also detected a total of 1344 CNV regions across 14 additional water buffalos as well as Olimpia, amounting to 59.8Mb of variable sequence or 2.2% of the cattle genome. The CNV regions overlap 1245 genes and are significantly enriched for specific biological functions such as immune response, oxygen transport, sensory system and signalling transduction. Additionally, we performed array Comparative Genomic Hybridization (aCGH) experiments using the 14 water buffalos as test samples and Olimpia as the reference. Using a linear regression model, significant and high Pearson correlations (r = 0.781) were observed between the digital aCGH values and aCGH probe log2 ratios. We further designed Quantitative PCR assays to confirm CNV regions within or near annotated genes and found 74.2% agreement with our CNV predictions.
2019-02-28 | GSE118117 | GEO
Project description:Esophageal squamous cell carcinoma (ESCC) is characterized as a metabolic disorder characterized by lipid metabolic reprogramming. To investigate the regional characteristics of ESCC patients in Xinjiang Province, China, and lipid metabolism, in this study, we described the characteristics of the serum lipid composition in Kazakh ESCC patients by performing an integrated analysis of the transcriptome and lipidomic data. Serum samples from 30 Kazakh ESCC patients and 30 healthy individuals were subjected to targeted lipid metabolomics analysis via UPLC‒MS/MS, while 3 tumor samples and matched adjacent normal tissues from 30 ESCC patients were subjected to transcriptome analysis. Compared with those in the healthy group, we observed obvious changes in the serum lipid subclass content, chain length and unsaturation in the ESCC patients. Integrated lipidomic and transcriptomic analyses revealed that unsaturated fatty acid biosynthesis, fatty acid metabolism, lipid degradation, cholesterol metabolism and the AMPK signaling pathway were enriched in tumor tissues. In addition, RT–qPCR results demonstrated that genes closely related to these pathways were differentially expressed between the ESCC group and the healthy control group. Considering the key role of AMPK in lipid metabolism, we conducted a targeted lipid metabolomics analysis on AMPK-knockdown esophageal cancer cells by UPLC‒MS/MS. These findings suggested that AMPK might be correlated with lipid metabolism in Kazakh ESCC patients, identifying potential therapeutic targets of AMPK and other lipid metabolism-related markers against the progression of ESCC.
2024-01-17 | GSE253171 | GEO