Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Case study: Comparison of healthy and sick nurse shark liver transcriptomes

PROVIDER: PRJNA656520 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR12429797_1.fastq.gz	Fastqsanger.gz
	SRR12429797_2.fastq.gz	Fastqsanger.gz
	SRR12429798_1.fastq.gz	Fastqsanger.gz
	SRR12429798_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 4 of 4

Similar Datasets

Project description:Nurse Shark BAC Sequencing

| PRJNA530194 | ENA

Exploration of the nurse shark (Ginglymostoma cirratum) plasma immunoproteome using high-throughput LC-MS/MS

Project description:LC-MS/MS proteomics was used to identify immune proteins in the plasma of the nurse shark (Ginglymostoma cirratum), using a de novo multi-tissue transcriptome generated for this species. LC-MS/MS was then used to assess the host response to immunization with human serum albumin (HSA) and Complete Freund’s Adjuvant (CFA).

2022-08-12 | PXD032158 | Pride

Foxp3-deficient Treg cells do not revert into conventional Effector CD4+ T cells but constitute a unique cell subset

Project description:Gene expression profiles were compared between regulatory T cells (Treg) and Effector CD4+ T cells in healthy B6 mice and sick mice with scurfy mutation. We used microarrays to elucidate the molecular mechanisms underlying the suppression function of the Treg cells. Keywords: Cell type comparison

2009-08-28 | GSE11775 | GEO

Watanabe2018_Three state markov model

Project description:State transition diagram of a three-state Markov model. There are 3 disease states: Healthy, Sick, and Dead, where the Dead state is terminal The yearly transition probabilities are: Healthy to Dead: 0.01; Healthy to Sick: 0.2; Sick to Healthy: 0.1;Sick to Dead: 0.3. Initial conditions: Healthy = 100, Sick = 0 and Dead = 0. Output: Number of people in each state for years 1-10.

2019-01-30 | MODEL1803120003 | BioModels

Tubercolosis and healthy infected patients PBMC_TB_vs_Pool_LTBI

Project description:Comparison of PBMC tuberculosis patients and healthy infected control donors via an reference RNA pool from non-infected controls Keywords: Case control study

2006-10-27 | GSE6112 | GEO

Organized B cell selection sites in cartilaginous fishes reveal the evolutionary foundation of germinal center-based selection.

Project description:The absence of germinal centers (GCs) in cartilaginous fishes lies at odds with data showing nurse sharks can produce robust antigen-specific responses and affinity mature their B cell repertoires. To Investigate this paradox, we performed RNA sequencing on single nuclei, allowing us to characterize the cell types present in the nurse shark spleen, and RNAscope to provide in situ cellular resolution of key marker gene expression following immunization with R-phycoerythrin (PE). We tracked PE to the splenic follicles where it co-localizes with CXCR5high centrocyte-like B cells, surrounded by a peripheral ring of AID+ CXCR4+ centroblast-like B cells, and a population of putative T follicular helper (Tfh) cells. Further, we reveal selection of mutated B cell clones dissected from these follicles. We propose the B cell selection sites identified here represent the evolutionary foundation of GC-based selection, dating back to the jawed vertebrate ancestor.

2023-05-16 | GSE232302 | GEO

Watanabe2018_Simple markov model

Project description:Simple Markov model. There are 3 disease states: Healthy, Sick, and Dead, where the Dead state is terminal. The yearly transition probabilities are: Healthy to Dead: 0.01; Healthy to Sick: 0.2 for Male and 0.1 for Female; Sick to Healthy: 0.1; Sick to Dead: 0.3. The transition probability now depends on the cohort (Male or Female) and can be expressed as a function of a Boolean covariate Male. Initial conditions: Healthy = (50 Male, 50 Female), Sick = (0,0) and Dead = (0,0). Output: Number of men and women in each disease state for years 1-10.

2019-01-30 | MODEL1803120004 | BioModels

Watanabe2018_State transition model dependent on changing parameters

Project description:Model dependent on changing parameters. There are 3 disease states: Healthy, Sick, and Dead, where the Dead state is terminal. The yearly transition probabilities are: Healthy to Dead: Age/1000; Healthy to Sick: according to function F1 depending on Age and Male parameters; Sick to Healthy: 0.1; Sick to Dead: according to function F2 depending on Age and Male parameters. Pre-Transition Rules: Age increased by 1 each cycle. Initial conditions: Healthy = (50 Male, 50 Female with Age =1,2,…,50 for each individual), Sick = (0,0) and Dead = (0,0). Output: Number of men and women in each disease state for years 1-10 and their ages in each state.

2019-01-30 | MODEL1803120005 | BioModels

Project description:IgNAR variable regions from immunized nurse shark spleen follicles

| PRJNA963203 | ENA

Expression of gallstone disease-associated genes in non-diseased and diseased gallbladder and liver samples

Project description:Following a large-scale genome-wide association study of gallstone disease, we performed RNA sequencing from tissues of four human gallbladders (3 healthy controls and 1 case with chronic gallstones) and one liver sample from the gallstone case. We aimed to determine the expression patterns of gallstone disease-associated genes in gallbladder and liver, two organs of interest in disease etiology.

2016-04-21 | GSE66430 | 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