Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Whole genome sequencing of Kazakh healthy individuals

PROVIDER: PRJNA374772 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR5258842_1.fastq.gz	Fastqsanger.gz
	SRR5258842_2.fastq.gz	Fastqsanger.gz
	SRR5258843_1.fastq.gz	Fastqsanger.gz
	SRR5258843_2.fastq.gz	Fastqsanger.gz
	SRR5258845_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 10

Similar Datasets

Genotyping of hundreds of individuals from Kazakh population in Kazakhstan

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:Whole exome sequences of kazakh individuals

| PRJNA559979 | ENA

A multicenter translational biomarker phase II trial of regorafenib in patients with non-resectable pretreated colorectal cancer.

Project description:Primary objectives: The primary objective is to investigate circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS). Primary endpoints: circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).

| 2533916 | ecrin-mdr-crc

Integrative analysis of the lipidome and transcriptome in Chinese Kazakh patients with esophageal squamous cell carcinoma

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

MuSt multiomics

Project description:Multiomics of faecal samples collected from individuals in families with multiple cases of type 1 diabetes mellitus (T1DM) over 3 or 4 months. Metagenomic and metatranscriptomic sequencing and metaproteomics were carried out, as well as whole human genome sequencing. Phenotypic data is available.

2017-10-19 | MSV000081630 | MassIVE

Project description:Oxford Nanopore and next-generation sequencing for hybrid genome assembly of healthy Kazakh individuals

| PRJNA823483 | ENA

Project description:Whole-exome data of healthy Kazakh individuals as control samples for cardiopanel research data and evaluation

| PRJNA646320 | ENA

MuSt multiomics - Integrated multi-omics of the human gut microbiome in a case study of familial type 1 diabetes

2016-08-22 | PXD003791 | Pride

Transcriptomic profiling of bone marrow cells from healthy individuals

2014-10-27 | GSE61410 | GEO

Transcriptomic profiling of bone marrow cells from healthy individuals

Project description:We performed whole-genome transcriptomic profiling of RNA from mononuclear cells from bone marrow aspirates taken from healthy individuals. This study complements GSE58335: transcriptomic profiling of peripheral blood mononuclear cells from healthy individuals. High-throughput sequencing was done using the Illumina GA IIx. The RNA is from previously published samples (Stirewalt et al., Genes Chromosomes Cancer, 2008, PMID:17910043)

2014-10-27 | E-GEOD-61410 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data