Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Next Generation Sequencing Facilitates Quantitative Analysis of Murine Salivary Gland Transcriptomes at 8 and 32 weeks

ABSTRACT: Next Generation Sequencing Facilitates Quantitative Analysis of Murine Salivary Gland Transcriptomes at 8 and 32 weeks

PROVIDER: PRJNA706685 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR13858392_1.fastq.gz	Fastqsanger.gz
	SRR13858392_2.fastq.gz	Fastqsanger.gz
	SRR13858393_1.fastq.gz	Fastqsanger.gz
	SRR13858393_2.fastq.gz	Fastqsanger.gz
	SRR13858394_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 8

Similar Datasets

Next Generation Sequencing Facilitates Quantitative Analysis of Murine Salivary Gland Transcriptomes at 8 and 32 weeks

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular functions. The goal of this study is to compare NGS-derived salivary gland transcriptome profilings (RNA-seq) to better understand the molecular changes in adult sublingual glands in the absence of the Nkx2.3 transcription factors. Methods: Female sublingual salivary gland mRNA profiles were generated by deep sequencing, in 4 replicates for Nkx2.3 knockout mice, using Illumina. The sequence reads that passed quality filters were analyzed at the gene level with STAR followed by DESeq2. Results: Using an optimized data analysis workflow, we mapped about 20 million sequence reads per sample to the mouse genome (build mm9) and identified 496 genes that were differentially expressed between the wildtype and Nkx2.3-knockout murine female sublingual salivary glands . RNA-seq data provided valuable insights into the nature of the functional differences resulting from the Nkx2.3 disruption Conclusions: Our study represents the first detailed analysis of sublingal salivary gland transcriptome profiling differences resulting from the Nkx2.3 disruption, with biologic replicates, generated by RNA-seq technology. Our results confirmed functions of many previously studied genes. We conclude that RNA-seq-based transcriptome characterization would offer a comprehensive and sensitive evaluation of the gene expression.

2023-01-31 | GSE168253 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Murine Salivary Gland Transcriptomes

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular functions. The goal of this study is to compare NGS-derived salivary gland transcriptome profilings (RNA-seq) to better understand the molecular nature of the physiological differences in adult murine salivary glands. Methods: Major murine salivary gland mRNA profiles were generated by deep sequencing, in triplicate, using Illumina HiSeq 2000. The sequence reads that passed quality filters were analyzed at the gene level with STAR followed by Cufflinks. In vivo NaCl reabsorption measurements were performed for validation. Results: Using an optimized data analysis workflow, we mapped about 15 million sequence reads per sample to the mouse genome (build mm10) and identified 1991 genes that were differentially expressed across three major salivary glands. RNA-seq data provided valuable insights into the nature of the functional differences among the major salivary glands Conclusions: Our study represents the first detailed analysis of murine salivary gland transcriptomes, with biologic replicates, generated by RNA-seq technology. Our results confirm functions of many genes, identified using genetically modified mice. We conclude that RNA-seq-based transcriptome characterization would offer a comprehensive and sensitive evaluation of the gene expression.

2018-02-28 | GSE96747 | GEO

Gene expression of murine 3 major salivary gland organoids

Project description:Salivary glands that produce and secret saliva, which is essential for lubrication, digestion, immunity, and oral homeostasis, consist of diverse cells. The long-term maintenance of diverse salivary gland cells in organoids remains problematic. Here, we established long-term murine salivary gland organoids from 3 major salivary glands, including parotid gland (PG), submandibular gland (SMG), and sublingual gland (SLG). Murine salivary gland organoids expressed gland-specific genes and proteins of acinar, myoepithelial, and duct cells. Organoids were maintained in growth media (named GEM) and further underwent differentiation in differentiation media (named DAM). Our study will provide an experimental platform for the exploration of mechanisms involvled in tissue regeneration, development, or several salivary gland diseases.

2022-05-05 | GSE184091 | GEO

The role of IRF6 in salivary gland development

Project description:Loss of Irf6 leads to disruption of branching morphogenesis and secretory acnii formation in salivary gland. To determine the differentially expressed genes in Irf6 mutant, embryonic salivary gland tissues were extracted at E14.5.

2017-07-29 | GSE102020 | GEO

Ionizing Radiation-induced Acute Damage in the Salivary Gland

Project description:Ionizing radiation (IR) – induced salivary gland damage is a common adverse effect in radiotherapy for patients with head and neck cancers. Currently, there is no effective treatment for the resulting salivary gland hypofunction and xerostomia (dry mouth). Here we profiled the acute gene expression change in the mouse submandibular salivary gland, and defined its damage response patterns at the transcriptome level.

2021-09-23 | GSE184673 | GEO

Gene expression analysis of human salivary gland and organoid at single cell resolution

Project description:Salivary glands that produce and secret saliva, which is essential for lubrication, digestion, immunity, and oral homeostasis, consist of diverse cells. Maintenance of diverse salivary gland cells in organoids remains problematic. Here, we established human salivary gland organoids, which is composed of multiple cellular subsets, from 3 major salivary glands, including parotid gland (PG), submandibular gland (SMG), and sublingual gland (SLG). Human salivary gland organoids expressed gland-specific genes and proteins of acinar, myoepithelial, and duct cells. Organoids were maintained in growth media (named GEM) and further underwent differentiation in differentiation media (named DAM). Our study will provide an experimental platform for the exploration of mechanisms involvled in tissue regeneration, development, or several salivary gland diseases.

2022-05-05 | GSE184526 | GEO

DNA methylation profiling of salivary gland tumors

Project description:Tumors of the major and minor salivary gland encompass a diverse spectrum of diagnostically challenging neoplasms. Recent studies have identified several gene fusions and somatic mutations that are specific or highly enriched in certain salivary gland tumor entities and can assist histopathological diagnosis. Still, there is an unmet need to identify additional diagnostic biomarkers for entities lacking specific alterations. In this study, we collected a comprehensive cohort of 363 cases encompassing 20 different salivary gland tumor entities and explored the potential of DNA methylation to classify these tumors. We were able to show that most entities show specific epigenetic signatures and present a machine learning algorithm that can be used to classify diagnostically challenging cases.

2024-08-31 | GSE243075 | GEO

Gene expression data from AKT induced salivary gland tumors

Project description:Rapamycin treatment of AKT induced salivary gland tumors

2013-01-14 | GSE23435 | GEO

Purification and ex vivo expansion of fully functional salivary gland stem cells

Project description:Analysis of genes that are enriched in long-term self-renewing salivary gland stem cells. And analysis of genes that are enriched in the organoids containing differentiated salivary gland cells.

2014-11-01 | GSE59559 | GEO

Differential expression of Aedes aegypti salivary gland transcriptome upon blood feeding

Project description:We have developed an oligoGEArray with 434 genes from Ae. aegypti salivary gland. OligoGEArray was customized with the salivary gland genes chosen from the transcriptome source published by Ribeiro et al (2007). Oligonucleotides (60bp) were designed and array were manufactured by SABiosciences. Using this OligoGEArray, we analyzed the differential expression of salivary trancritptome upon blood feeding.

2009-12-31 | GSE16392 | 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