Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Ena-DATASET-MUG-04-05-2020-16:04:36:243-580 - samples

ABSTRACT: Paired end (47/98) and single end (51/98) shallow whole genome sequencing (sWGS) data for the identification of somatic copy number alterations (SCNA) and the estimation of tumor fractions in plasma DNA of colorectal cancer (CRC) patients.

PROVIDER: EGAD00001006101 | EGA |

REPOSITORIES: EGA

ACCESS DATA

Json Xml

Similar Datasets

ena-DATASET-MUG-02-12-2021-20:16:00:427-345 - samples

Project description:Paired end shallow whole genome sequencing (sWGS) data for the identification of genomewide somatic copy number alterations (SCNA) and the estimation of tumor fractions.

| EGAD00001008397 | EGA

ena-DATASET-MUG-23-01-2020-15:19:23:857-102 - samples

Project description:Paired end shallow whole genome sequencing (sWGS) data for the identification of somatic copy number alterations (SCNA) and the estimation of tumor fractions in plasma DNA of renal cell carcinoma (RCC) patients (MonRec Cohort)

| EGAD00001005804 | EGA

e50a5f0d-c339-4494-9d1d-f2b7961701dd - samples

Project description:Paired end shallow whole genome sequencing (sWGS) data (FASTQ) for the identification of genomewide somatic copy number alterations (SCNA) and the estimation of tumor fractions.

| EGAD00001010293 | EGA

ena-DATASET-MUG-01-09-2020-10:55:42:997-687 - samples

Project description:Shallow whole-genome sequencing (sWGS) data for the identification of somatic copy number alterations (SCNA) and the estimation of tumor fractions in plasma DNA of metastatic colorectal cancer patients (mCRC).

| EGAD00001006384 | EGA

ena-DATASET-MUG-25-01-2021-19:08:23:000-259 - samples

Project description:Paired end shallow whole genome sequencing (sWGS) data for the identification of somatic copy number alterations (SCNA) and the estimation of tumor fraction and ploidy sorted malignant CD3+/Vb+ T-cells and corresponding CD19+ non-malignant B-cells

| EGAD00001006901 | EGA

Characterization of age-associated gene expression changes in mouse sweat glands [FP_YO]

Project description:Evaporation of sweat on the skin surface is the major mechanism for dissipating heat in humans. The secretory capacity of sweat glands (SWGs) declines during aging, leading to heat intolerance in the elderly, but the mechanisms responsible for this decline remain incompletely understood. We investigated the molecular changes accompanying SWG aging in mice, where sweat tests confirmed a significant reduction of active SWGs in old mice relative to young mice. We first identified SWG-enriched mRNAs by comparing the transcriptome of Eda mutant Tabby mice, which lack SWGs, with that of wild-type control mice by RNA-sequencing analysis. This comparison revealed 171 mRNAs enriched in SWGs, including 47 mRNAs encoding core secretory proteins such as transcription factors, ion channels, ion transporters, and trans-synaptic signaling proteins. Among these, 28 SWG-enriched mRNAs showed significantly altered abundance in the aged footpad skin, and 11 of them, including Foxa1, Best2, Chrm3, and Foxc1 mRNAs belonged to the ‘core secretory’ category. Consistent with the changes in mRNA expression, immunohistology revealed that higher numbers of secretory cells from old SWGs express FOXC1 protein, the product of Foxc1 mRNA. In sum, our study identified mRNAs enriched in SWGs, including those that encode core secretory proteins, and changes in these mRNAs and proteins with SWG aging in mice.

2024-05-17 | GSE249783 | GEO

Characterization of age-associated gene expression changes in mouse sweat glands [FP_WT_TA]

2024-05-17 | GSE249782 | GEO

Association of self-identified race and genetic ancestry with the immunogenomic landscape of primary prostate cancer

Project description:The genomic and immune landscapes of prostate cancer differ by self-identified race. However, few studies have examined the genome-wide copy number landscape and immune content of matched cohorts with genetic ancestry data and clinical outcomes. Here, we assessed prostate cancer somatic copy number alterations (sCNA) and tumor immune content of a grade-matched, surgically-treated cohort of 145 self-identified Black (BL) and 145 self-identified white (WH) patients with genetic ancestry estimation. A generalized linear model adjusted with age, pre-operative PSA, and Grade Group and filtered for germline copy number variations (gCNV) identified 143 loci where copy number varied significantly by percent African ancestry, clustering on chromosomes 6p, 10q, 11p, 12p, and 17p. Multivariable Cox regression models adjusted for age, pre-operative PSA levels, and Grade Group revealed that chromosome 8q gains (including MYC) were significantly associated with biochemical recurrence and metastasis, independent of genetic ancestry. Finally, regulatory T-cell density in BL and WH patients was significantly correlated with percent genome altered, and these findings were validated in the TCGA cohort. Taken together, our findings identify specific sCNA linked to genetic ancestry and outcome in primary prostate cancer and demonstrate that regulatory T-cell infiltrate varies by global sCNA burden in primary disease.

2023-05-31 | GSE221219 | GEO

ena-DATASET-MUG-25-01-2020-09:58:43:375-169 - samples

Project description:Paired end shallow whole genome sequencing (sWGS) data of tumor tissue from RCC patients (DAIMOND cohort)

| EGAD00001005815 | EGA

ena-DATASET-MUG-25-01-2020-09:55:51:618-168 - samples

Project description:Paired end shallow whole genome sequencing (sWGS) data of cell-free DNA from plasma and urine from RCC patients (DAIMOND cohort)

| EGAD00001005814 | EGA

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