Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

HLA_CMU_MU

ABSTRACT: Ultrarapid and High-resolution HLA Class I Typing Using Transposase-based Nanopore Sequencing Applied in Pharmacogenetics Testing

PROVIDER: PRJEB61855 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR11404037.fastq.gz	Fastqsanger.gz
	ERR11404038.fastq.gz	Fastqsanger.gz
	ERR11404039.fastq.gz	Fastqsanger.gz
	ERR11404040.fastq.gz	Fastqsanger.gz
	ERR11404041.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 42

Similar Datasets

HLA

Project description:Ultrarapid and High-resolution HLA Class I Typing Using Transposase-based Nanopore Sequencing Applied in Pharmacogenetics Testing

| PRJEB61797 | ENA

Coordinated over-expression of genes in the EGFR pathway predicts sensitivity to EGFR inhibition in pancreatic cancer

Project description:Tumors from pancreatic cancer specimens obtained at surgery were used for efficacy testing and biologic analysis Keywords: Pharmacogenetics

2008-04-16 | GSE9599 | GEO

Transcription Regulatory Networks of CD4 CD8 and CD14 cells in Patients of Type I Mellitus Diabetes

Project description:Insulin-dependent diabetes mellitus (T1D) is an organ-specific auto-immune disease caused by the selective destruction of the pancreatic beta cells by inflammatory cells, especially auto-reactive CD8+ T lymphocytes. In this study we evaluated the differential large scale gene expression profiling using cDNA microarrays of T (CD4+ and CD8+) and monocyte (CD14+) cells. In addition, considering that HLA class II profile may influence the expression of these molecules on the surface of peripheral blood cells, and considering that the mechanisms by which HLA class II susceptibility alleles drive the auto-immune response have not been elucidated, we intend to further stratify T1D patients according to the HLA class II profile. 20 pre-pubertal recently diagnosed T1D patients were selected, HLA-DRB1/DQB1 allele typing and separated in two groups. The group 1(G1) had patients with susceptibility alleles and group 2 (G2) with at least one protection allele. To established relationships between genes, the GeneNetwork 1.2 algorithm was used, 6 networks were obtained, TCD4+ G1 patients X controls, TCD4+ G2 patients X controls, and same situation to TCD8+ and CD14+.

2011-06-15 | E-MEXP-3223 | biostudies-arrayexpress

Project description:HLA TYPING

| PRJNA818011 | ENA

Project description:HLA TYPING

| PRJNA818136 | ENA

Oxford Nanopore RNA sequencing for HLA typing

Project description:A targeted RNA-based method for typing of 12 classical HLA genes using Oxford Nanopore sequencing. In the method, were enriched HLA genes from cDNA of 50 individuals using gene-specific reverse primers. The library molecules were then barcoded, pooled into 2 separate gene pools, and sequenced on MinION R9.4 SpotON flow cells.

| EGAS00001004918 | EGA

Class I Typing

Project description:Class I Typing

| PRJEB33618 | ENA

Homo sapiens

Project description:HLA typing pipeline validation

| PRJNA267605 | ENA

Antitumor Activity and Molecular Effects of the Novel Hsp 90 Inhibitor, IPI-504, in Pancreatic Cancer

Project description:Tumors from pancreatic cancer specimens obtained at surgery were used for efficacy testing and biologic analysis. These tumors were s.c. explanted in xenograft models for subsequent treatment experiments. This study aimed to assess the antitumor activity of the Hsp90 inhibitor, IPI-504, in pancreatic cancer and to determine the biological effects of the agent. Keywords: Pharmacogenetics

2009-07-15 | GSE12113 | GEO

High-throughput combinatorial indexing enables scalable single-cell chromatin accessibility profiling [Bone marrow]

Project description:While recent technical advancements have facilitated the mapping of epigenomes at the single-cell resolution, the throughput and quality of these methods have limited the widespread application of these technologies. Here, we describe a high-throughput platform for single-cell assay for transposase accessible chromatin (scATAC-seq) using droplet microfluidics that yields essential qualities for high-throughput profiling, including improvements in per-cell library complexity and throughput. This approach enables robust cell-typing of complex tissues and reveals a de novo atlas of cellular and epigenomic diversity across many cell types and cell stages.

2019-05-02 | GSE123580 | 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