Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

C5259c81-869e-4d6e-99b4-22e6e1c2c21d - samples

ABSTRACT: exome sequencing files from 25 alopecia areata samples from spain.

PROVIDER: EGAD00001006370 | EGA |

REPOSITORIES: EGA

ACCESS DATA

Json Xml

Similar Datasets

Analysis of colorectal adenocarcinoma tissue samples by DESI mass spectrometry imaging

Project description:Ex vivo colorectal adenocarcinoma samples were analysed by desorption electrospray ionisation using an Orbitrap mass spectrometer. The samples were analysed in negative mode over the m/z range 600-1000. Some of the samples presented in this dataset were analysed as part of [1]. The study makes available imzML files of profile and centroid mode data, as well as low- and high- resolution optical image files of H&E-stained sections. These files can be found in the zip file named after each tissue section. </p> Ref:</br> [1] Gerbig S, Golf O, Balog J, Denes J, Baranyai Z, Zarand A, Raso E, Timar J, Takats Z. Analysis of colorectal adenocarcinoma tissue by desorption electrospray ionization mass spectrometric imaging. Anal Bioanal Chem. 2012 Jun;403(8):2315-25. doi:10.1007/s00216-012-5841-x. PMID:22447214</br>

2016-04-28 | MTBLS289 | MetaboLights

Exome sequencing in classic Hairy cell leukaemia reveals widespread variation in acquired somatic mutations between individual tumours apart from the signature BRAF V(600)E lesion

Project description:Whole exome sequencing of 5 HCLc tumor-germline pairs. Genomic DNA from HCLc tumor cells and T-cells for germline was used. Whole exome enrichment was performed with either Agilent SureSelect (50Mb, samples S3G/T, S5G/T, S9G/T) or Roche Nimblegen (44.1Mb, samples S4G/T and S6G/T). The resulting exome libraries were sequenced on the Illumina HiSeq platform with paired-end 100bp reads to an average depth of 120-134x. Bam files were generated using NovoalignMPI (v3.0) to align the raw fastq files to the reference genome sequence (hg19) and picard tools (v1.34) to flag duplicate reads (optical or pcr), unmapped reads, reads mapping to more than one location, and reads failing vendor QC.

2016-02-01 | E-MTAB-4313 | biostudies-arrayexpress

Whole exome sequencing of Cervical Squamous samples

Project description:The raw data consist of whole exome sequencing data of cervical squamous samples

2022-02-11 | E-MTAB-11407 | biostudies-arrayexpress

Comparison of different T cell extracellular vesicles derived from activated, and expanded primary CD4+ and CD8+ human T cells.

Project description:The present dataset contains small non-coding RNA sequencing data from extracellular vesicles steadily released by donor matched, cultured human CD4+ and CD8+ T cells and from extracellular vesicles released within the immunological synapse. The dataset includes RNA sequencing files collected within two independent sequencing facilities. Control samples (S0) are included to correct the sequencing data from noise in the case of EVs released in the synapse (S1).

2022-05-24 | GSE181216 | GEO

Inherited BCL10 deficiency with impaired hematopoietic and non-hematopoietic immunity

Project description:Whole exome sequencing (WES) files of a patient suffering from a combined immunodeficiency, and his parents.

2014-10-31 | E-MTAB-2962 | biostudies-arrayexpress

TRAP-seq of samples isolated from DHPG-stimulated WT and Fmr1-/y hippocampal slices

Project description:Sequencing files from TRAP-seq samples isolated from DHPG-stimulated WT and Fmr1-/y hippocampal slices

2022-06-07 | GSE201239 | GEO

Expression data from the human whole blood samples

Project description:Microarray expression profiling approach was used to identify age-related mRNA markers. In this dataset, we include the expression data obtained from whole venous blood samples collected from ERF (Erasmus Rucphen Family study) donors of different age. Two age groups - young (~25 y.o.) and old (~ 60 y.o.) were analyzed using Partek GS software.

2015-12-22 | GSE27458 | GEO

Human Alopecia Areata Skin Biopsy Samples

Project description:Gene expression profiling of scalp skin biopsies from patients with alopecia areata or normal healthy controls Scalp skin punch biopsies were taken from the indicated patients and stored in PAXgene tissue containers for shipping to a central location, where the samples were processed

2017-02-09 | GSE68801 | GEO

Reanalysis of the blood plasma and serum samples from healthy donors

Project description:Previously, we published a dataset of human blood plasma and serum samples of 10 healthy males and 10 healthy females, fractionated on a set of sorbents (cation exchange Toyopearl CM-650M, CM Bio-Gel A, SP Sephadex C-25 and anion exchange QAE Sephadex A-25) and analyzed by LC-MS/MS individually and pooled in equal amounts (Supplementary Table S1, Sheet 1) [33]. The mass spectrometry peptidomics data was deposited to the ProteomeXchange Consortium via the PRIDE partner repository (dataset identifiers PXD008141 and 10.6019/PXD008141). Direct download link: http://www.ebi.ac.uk/pride/archive/projects/PXD008141. We analyzed this dataset again within this work. The detailed information about the dataset of blood plasma/serum samples of 20 healthy donors fractionated on a set of sorbents is available in the original paper [33], including the clinical parameters of the donors, sample collection, plasma/serum fractionation, peptide extraction and LC-MS/MS analysis. 33. Arapidi, G. et al. Peptidomics dataset: Blood plasma and serum samples of healthy donors fractionated on a set of chromatography sorbents. Data Brief 18, 1204–1211 (2018).

2024-06-14 | PXD027587 | Pride

Integrated single-cell chromatin and transcriptomic analyses of human scalp reveal etiological insights into genetic risk for hair and skin disease [scATAC-Seq]

Project description:In this study, we use single-cell ATAC sequencing (scATAC-seq) and single-cell RNA sequencing (scRNA-seq) to map chromatin accessibility and gene expression in human scalp samples from healthy patients and patients with alopecia areata

2023-05-09 | GSE212448 | GEO

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