Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

CON

ABSTRACT: CON Raw sequence reads

PROVIDER: PRJNA386148 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR5627253_1.fastq.gz	Fastqsanger.gz
	SRR5627253_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 2 of 2

Similar Datasets

CON & I-CON

Project description:CON & I-CON Raw sequence reads

| PRJNA506659 | ENA

Morus alba Raw protein sequence reads

Project description:Morus alba L. Raw protein sequence reads and sequence

2024-02-08 | PXD049451 |

Next Generation Sequencing Facilitates Quantitative Analysis of CON and PMB treatment HepG2 cells Transcriptomes

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to analysis the differiational genes and pathways in CON and PMB treatment cells by using RNA-seq Methods: CON and PMB treatment cells mRNA profiles were generated by deep sequencing, using Illumina Novaseq. The sequence reads that passed quality filters were analyzed at the transcript isoform level with following methods: Alignment by using HISAT2 , IGV was used to to view the mapping result by the Heatmap, histogram, scatter plot or other stytle, FPKM was then calculated to estimate the expression level of genes in each sample, EdgeR software was used for differential gene expression analysis and Function Enrichment Analysis including GO enrichment analysis and KEGG . Conclusions: Our study represents detailed analysis of CON and PMB cells transcriptomes, with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.

2023-08-11 | GSE185840 | GEO

microRNA expression in the megabladder mouse model of CKD and CON

Project description:Congenital obstructive nephropathy (CON) is the leading cause of chronic kidney disease (CKD) in children. CON is a complex disease process involving pathological changes in kidney development and function that occur as a result of obstructed antegrade urine flow beginning in utero. The megabladder (mgb-/-) mouse is an animal model of CON that develops kidney disease secondary to a bladder-specific defect in smooth muscle development. Expression levels of specific microRNAs were compared by microarray analysis on the Agilent platform and by quantitative PCR (qPCR) of kidney samples from wild type and mgb-/- mice.

2016-07-08 | GSE70879 | GEO

Transcriptome analysis of Con-TD and MCK-TD muscle

Project description:RNA-seq data of GTN muscle tissues of Con-TD and MCK-TD mice

2021-12-29 | GSE184646 | GEO

Expression data from of HD-iPSC and CON-iPSC neuron derivatives

2015-09-02 | GSE59051 | GEO

RNA-sequence facilitates analysis of mesenchymal stem cells treating with concanavalin A mice

Project description:Purpose: The goals of this study are to find the mechanisms of mesenchymal stem cells (MSC) ameliorating concanavalin A (Con A) induced inflammatory mice Methods: Liver tissues were harvested at 6h, 12h after Con A injected with/without MSC (n = 3 per group) for transcriptome profiling. Results: Filter the raw data obtained fromDNBSEQ-G400, and compare the filtered clean reads to the reference sequence. Quantitative analysis of known genes and new genes, differential expression analysis based on gene expression in different sample groups, GO function analysis, Pathway function analysis, cluster analysis, and protein interaction for the selected differentially expressed genes Network, transcription factor coding ability prediction and other in-depth mining analysis. Conclusions: Our study discoveres following processes were significantly affected: apoptosis, MAPK signaling pathway and cytokine-cytokine receptor interaction.

2023-07-01 | GSE178696 | GEO

Expression data from of HD-iPSC and CON-iPSC neuron derivatives

Project description:Compared the global gene expression profiles of HD- and CON-iPSC-derived neurons We used microarrays to detail the global programme of gene expression for comparing the global gene expression profiles of HD- and CON-iPSC-derived neurons and facilitating studies of medium spiny neurons (MSN)-degenerative processes of Huntington's Disease (HD). By using a step-wise in vitro differentiation protocol combining EB formation, neural induction by small molecules, treatment with inhibitors of the TGFß pathway (SB431542) and the BMP pathway (LDN193189), and mechanical isolation/purification of neural progenitors and neurons, we induced 60-70% of control iPSCs or HD-iPSCs to differentiate into GABA- and DARPP-32- double positive neurons.

2015-09-02 | E-GEOD-59051 | biostudies-arrayexpress

Identification and characterization analysis of the different genes in primary mouse microglia response to ACT-PARP14 using RNA-seq.

Project description:Poly(ADP-ribose) polymerases (PARPs) modify target proteins with ADP-ribose by using nicotinamide adenine dinucleotide as a substrate, and contribute to various signaling pathways. PARP14 is the largest member of PARP superfamily. Whole RNA-sequencing analysis was performed and analyzed by Lc. Biotech Co., Ltd. (Hangzhou, China). Primary mouse microglia from the Con + ACT-Con group, Con + ACT-PARP14 group, OGD + ACT-Con group, and OGD + ACT-Con group were collected in TRIzol. Total RNAs were extracted from Trizol. UMI technology was used to label each sequence fragment with sequence tags, which minimized the interference of duplication caused by PCR amplification on the quantitative accuracy of the transcriptome. RNA sequencing reads were aligned to the mouse genome (GRCh37/hg19) using the software Hisat2 (2.0.4). Transcript abundance was evaluated by calculating fragments per kilo base of exon per million fragments mapped (FPKM).

2023-06-05 | GSE152000 | GEO

scRNA-seq of AAV-scramble or AAV-shBicd2 infected mice livers under Con A-induced acute autoimmune hepatitis

Project description:To explore the effect of Bicd2 in Con A-induced acute autoimmune hepatitis, we conducted single cell RNA sequencing of AAV-scramble or AAV-shBicd2 infected mice livers in response to Con A injection.

2024-09-07 | GSE276168 | 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