Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Characterization of a strain-specific Cd1 reference genome reveals potential inter- and intra-strain functional variability [gDNA]

ABSTRACT: Characterization of a strain-specific Cd1 reference genome reveals potential inter- and intra-strain functional variability [gDNA]

PROVIDER: PRJNA862520 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR20653306_1.fastq.gz	Fastqsanger.gz
	SRR20653306_2.fastq.gz	Fastqsanger.gz
	SRR20653307_1.fastq.gz	Fastqsanger.gz
	SRR20653307_2.fastq.gz	Fastqsanger.gz
	SRR20653308_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 10

Similar Datasets

Characterization of a strain-specific Cd1 reference genome reveals potential inter- and intra-strain functional variability [gDNA]

Project description:Characterization of a strain-specific Cd1 reference genome reveals potential inter- and intra-strain functional variability

2023-06-08 | GSE209815 | GEO

Characterization of a strain-specific Cd1 reference genome reveals potential inter- and intra-strain functional variability [ATAC-seq]

Project description:Characterization of a strain-specific Cd1 reference genome reveals potential inter- and intra-strain functional variability

2023-06-08 | GSE209810 | GEO

Characterization of a strain-specific Cd1 reference genome reveals potential inter- and intra-strain functional variability

Project description:Characterization of a strain-specific Cd1 reference genome reveals potential inter- and intra-strain functional variability

| PRJNA862518 | ENA

Characterization of a strain-specific Cd1 reference genome reveals potential inter- and intra-strain functional variability [ATAC-seq]

Project description:Characterization of a strain-specific Cd1 reference genome reveals potential inter- and intra-strain functional variability [ATAC-seq]

| PRJNA862524 | ENA

Characterization of a strain-specific Cd1 reference genome reveals potential inter- and intra-strain functional variability

Project description:This SuperSeries is composed of the SubSeries listed below.

2023-06-08 | GSE209816 | GEO

Spatial tissue proteomics quantifies inter- and intra-tumor heterogeneity in hepatocellular carcinoma

Project description:The inter-patient variability of tumor proteomes has been investigated on a large scale but many tumors display also intra-tumoral heterogeneity (ITH) regarding morphological and genetic features. To what extent the local proteome of tumors intrinsically differs remains largely unknown. Here, we used hepatocellular carcinoma (HCC) as a model system, to quantify both inter- and intra-tumor heterogeneity across human patient specimens with spatial resolution. We first defined proteomic features that robustly distinguish neoplastic from the directly adjacent non-neoplastic tissue by integrating proteomic data from human patient samples and genetically defined mouse models with available gene expression data. We then demonstrated the existence of intra-tumoral variations in protein abundance that re-occur across different patient samples, and affect clinically relevant proteins, even in the absence of obvious morphological differences or genetic alterations. Our work demonstrates the suitability and the benefits of using mass spectrometry based proteomics to analyze diagnostic tumor specimens with spatial resolution

2018-01-24 | PXD007052 | Pride

Gene expression-based dissection of inter-histotype, in-tra-histotype and intra-tumor heterogeneity in pediatric tumors

Project description:We aimed at assessing the extent of gene expression inter/intra-histotype heterogeneity and ITH in four different pediatric cancer histotypes, analysing multiple samples of each single tumor mass.

2022-11-02 | GSE197147 | GEO

Investigation of inter- and intra-day variability of tear fluid regarding flow rate, protein concentration as well as protein composition

Project description:Purpose: Determination of inter- and intra-day variations in tear flow rate, tear fluid protein concentration as well as protein composition regarding their impact for future biomarker studies.Methods: Tear fluid was collected non-invasively from 18 healthy subjects performing Schirmer tests at four different time points repetitive in a period of two days. The tear flow rate with Schirmer test strips was measured. Proteins were extracted from strips and quantified using amino acid analysis. Protein composition was analyzed by data-independent (DIA) based mass spectrometry. To exclude any impairments to health, volunteers underwent a detailed neurological as well as an ophthalmological examination.Results: Whether tear fluid was collected from OS or OD did not affect the tear flow rate (p ≈ 0.63) or protein concentration (p ≈ 0.97) of individual subjects. Moreover, protein concentration was independent from the tear volume, so that a change in volume would only have an effect on total protein amount. When the examination days were compared, investigation of tear flow rate (p ≈ 0.001) and protein concentration (p ≈ 0.0003) indicated significant differences. Further mass spectrometric analysis of tear fluid revealed eleven differentially regulated proteins when comparing both examination days. Conclusion: Our findings provide evidence of inter-day variation in tear flow rate, tear proteome concentration and composition in healthy subjects, suggesting that inter-day variation need to be taken into consideration in biomarker research of tear fluid. Identified proteins were assigned to functions in the immune response, oxidative and reducing processes, as well as mannose metabolism.

2023-10-24 | PXD037811 | Pride

SIGNAL-seq: Multimodal Single-cell Inter- and Intra-cellular Signalling Analysis

Project description:SIGNAL-seq: Multimodal Single-cell Inter- and Intra-cellular Signalling Analysis

| PRJNA1079350 | ENA

Intra- and inter-tumoral heterogeneity of liver metastases in a patient with uveal melanoma

Project description:Tumour heterogeneity has been the main obstacle to the clinical efficacy of targeted and immunotherapy in cancer. An accurate understanding and recognition of tumour heterogeneity is critical in the clinical management of cancer patients. Here, we utilised single-cell RNA sequencing (scRNA-seq) to uncover the intra- and inter-tumoural heterogeneity of liver metastases from a patient with metastatic uveal melanoma.

2021-09-12 | GSE176029 | 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