Saudi Arabian tribe genome
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REPOSITORIES: ENA
Similar Datasets
Project description:16s survey of microbial populations in Saudi Arabian soil associated with Rhazya Stricta rhizosphere
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Project description:Report transcritpome analysis of Arabian horses before and after exercise
2019-01-23 | GSE104388 | GEO
Project description:Klinefelter syndrome (KS) is the most prevalent aneuploidy in males and is characterized by an extra copy of the X chromosome,while the non-mosaic form of KS with 47,XXY karyotype is the most frequent (80-90%), less common non-disjunction events during the early mitotic division of the zygote result in mosaic forms of KS (47,XXY/46,XY). Here, using a paradigmatic cohort of KS-inducible pluripotent stem cells (iPSCs) carrying 47,XXY karyotypes we present the first iPSC-based disease-modeling study performed on KS patients from Saudi Arabia. We profiled the transcriptome of these Saudi KS-iPSCs, virtually characterized by subduedcgenetic backgrounds. Moreover, we performed a comparative transcriptomic analysis to assess the aberrant gene expression profile due to X dosage imbalance in four Saudi and five European and North American 47,XXY patients-derived iPSCs from our previously published study on KS and high-grade sex chromosome aneuploidies (SCAs). We identified a transcriptomic signature including ten PAR1 genes and thirteen non-PAR escape genes consistently upregulated in KS compared to 46,XY controls in both groups, as well as 193 consistenty disregulated autosomal genes. Our results indicate that the global transcriptional impact of X chromosome overdosage in KS is largely attributable to X-linked genes escaping X inactivation, regardless of the geographical area of origin, ethnicity, and genetic background.
2023-08-02 | GSE220268 | GEO
Project description:Transcriptomic analysis of fresh breast cancer tissue versus normal tissues. The Study comprising 45 Saudi-Arabian subjects was designed to take advantage of transcriptomics to prospectively explore the roles of lifestyle and genetic susceptibility in the occurrence of breast cancer.
2014-04-15 | GSE36295 | GEO
Project description:The screening of 741,000 variants in 420 individuals from Arabian Peninsula (100 from Saudi Arabia, 100 from Yemen, 100 from Oman and 120 from UAE) and 80 individuals from Iran.
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Project description:Transcriptomic analysis of fresh breast cancer tissue versus normal tissues. The Study comprising 45 Saudi-Arabian subjects was designed to take advantage of transcriptomics to prospectively explore the roles of lifestyle and genetic susceptibility in the occurrence of breast cancer. Total RNA isolated from 45 surgically resected breast cancer tissues and 8 healthy breast tissues (3 from Affymetrix) and purified, labeled, and hybridized to Affymetrix Human Gene 1.0 ST Array.
2014-04-15 | E-GEOD-36295 | biostudies-arrayexpress
Project description:Purpose: Next-generation sequencing (NGS) was used to select genes potentially associated with exercise adaptation in Arabian horses. Methods: Whole transcriptome profiling of blood was performed for untrained horses and horses from which samples were collected during at 3 different periods of training procedure (T1-during intense training period - March, T2- before starts - May and T3 -after flat racing season - October). The muscle transcriptome sequencing was performed for 37 blood samples using Illumina HiScan SQ in 75 single-end cycles. The quantifying transcript abundances was made using the RSEM supported by STAR aligner. The raw reads were aligned to the Equus caballus reference genome. Differentially expressed genes in blood tissue were detected by DESeq2. The RNA-seq results were validated using by qPCR. Results: The increase of the number of DEGs between subsequent training periods has been observed and the highest amount of DEGs was detected between untrained horses (T0) and horses at the end of the racing season (T3) â 440. The comparison of transcriptome of T2 vs T3 and T0 vs T3 showed a significant advantage of up-regulated genes during long-term exercise (up-regulation of 266 and 389 DEGs in T3 period compared T2 and T0; respectively). Our results showed that the largest number of identified genes encoded transcription factors, nucleic acid binding proteins and G-protein modulators, which mainly were transcriptional activated at the last training phase (T3) . Moreover, in the T3 period the identified DEGs represented genes coded for cytoskeletal proteins including actin cytoskeletal proteins and kinases. The most abundant exercise-upregulated genes were involved in pathways important in regulating the cell cycle (PI3K-Akt signaling pathway), cell communication (cAMP-dependent pathway), proliferation, differentiation and apoptosis as well as immunity processes (Jak-STAT signaling pathway). We also observed exercise induced expression of genes related in regulation of actin cytoskeleton, gluconeogenesis (FoxO signaling pathway; Insulin signaling pathway), glycerophospholipid metabolism and calcium signaling. Conclusions: TOur results allow to identify changes in genes expression profile following training schedule in Arabian horses. Based on comparison analysis of blood transcriptomes, several exercise-regulated pathways and genes most affected by exercise were detected. We pinpointed overrepresented molecular pathways and genes essential for exercise adaptive response via maintaining of body homeostasis. The observed transcriptional activation of such gene as LPGAT1, AGPAT5, PIK3CG, GPD2, FOXN2, FOXO3, ACVR1B and ACVR2A can be a base for further research in order to identify genes potentially associated with race performance in Arabian horses. Such markers will be essential to choice the training type, and could result in differences in racing performance specific to various breeds. The blood transcriptome sequencing was performed for 37 samples collected form Arabian horses using Illumina HiScan SQ in75 single-end cycles and in 3-4 technical repetitions.repetitions.
2016-06-16 | E-GEOD-83404 | biostudies-arrayexpress
Project description:Metagenomic sequencing of two depths of the Arabian sea oxygen minimum zone using SOLiD and IonTorrent
| PRJEB4261 | ENA