Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Tonsillar Tissue

PROVIDER: PRJNA818013 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR18390865_1.fastq.gz	Fastqsanger.gz
	SRR18390865_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 2 of 2

Similar Datasets

Distinct stage-specific transcriptional states of B cells in human tonsillar tissue [single-cell RNA-seq]

Project description:Defining B cell states in human tonsillar tissue using single cell transcriptomics.

2021-08-16 | GSE182221 | GEO

Gene expression profile at single cell level of tumor infiltrating myeloid antigen presenting cells from tonsillar cancer patients

Project description:Myeloid antigen presenting cells are a heterogeneous population, and their identity is greatly influenced by niche specific cues. We used single cell RNA sequencing (scRNA-seq) to analyze the diversity of myeloid antigen presenting cells in tonsillar cancer tissue and paired contralateral healthy tissue.

2023-01-19 | GSE219210 | GEO

Open chromatin profiling of human mast cells

Project description:Here, we used Omni-ATAC-seq to identify open chromatin regions in human peripheral blood-derived MCs and tonsillar MCs

2019-03-17 | GSE125888 | GEO

Transcriptomic analysis of differential expressed genes of human tonsillar epithelial cells UT-SCC-60B in response to EV71 infection

Project description:Purpose: The goals of this study are to understand the transcriptional changes of human tonsillar epithelial cells UT-SCC-60B in response to EV71 infection and determine the differential expressed genes Methods: Transcriptional profiles of human tonsillar epithelial cells UT-SCC-60B and human tonsillar epithelial cells infected with EV71 were generated by next generation sequencing, in triplicate, using Illumina X-ten/NovaSeq. The sequence reads that passed quality filters were analyzed abundance of mRNA using StringTie, the FPKM values of genes and transcripts were calculated by Ballgown of R software, alternative splicing events were determined by rMATS Results: Using an optimized data analysis workflow, we mapped more than 36 million sequence reads per sample. Total 11137 gene counts and 26860 transcript counts were identified in human tonsillar epithelial cells, 11347 gene counts and 27994 transcript counts were identified in EV71-infected human tonsillar epithelial cells. Total 96 genes and 499 transcripts were down-regulated, 105 genes and 550 transcripts were up-regulated according the criteria that fold changes are more than 1.5, p value less is than 0.05 and mean of FPKM value is more than 0.5 to defined as the differential expressed genes or differential expressed transcripts. Total 11563 novel genes and 14927 novel transcripts were identified and 3266 novel transcripts had the potential coding probabilities. Finally, total 5742 genes occurred alternative splicing events. Conclusions: Our study represents the first detailed analysis of the transcriptional changes of human tonsillar epithelial cells UT-SCC-60B in response to EV71 infection, this results will provide novel insight into the interaction between human tonsillar epithelial cells and EV71

2019-08-31 | GSE136668 | GEO

Single cell profiling of CD4+ T cells from follicular lymphoma, diffuse large B cell lymphoma and tonsilar samples

Project description:Tumor-infiltrating regulatory T cells contribute to an immunosuppressive tumor microenvironment. We applied single-cell RNA sequencing (scRNA-seq) , TCR sequencing combined with cellular indexing of transcriptomes and epitopes (CITE-seq) on CD4 T cells to decipher the heterogeneity of intratumoral Tregs in diffuse large B-cell lymphoma (DLBCL) and follicular lymphoma (FL), compared with non-malignant tonsillar tissue.

2023-09-12 | GSE242756 | GEO

lung and tonsillar mast cells

Project description:GeneChip Data of human lung mast cells and tonsillar mast cells Keywords: other

2004-10-20 | GSE1848 | GEO

Transcription profiling of human lung and tonsillar mast cells

Project description:GeneChip Data of human lung mast cells and tonsillar mast cells

2008-06-11 | E-GEOD-1848 | biostudies-arrayexpress

Project description:Tonsillar microbiota based on obesity and tonsillar hypertrophy in children

| PRJNA907188 | ENA

microRNA expression in human tonsillar B cell populations

Project description:small RNA profiles of 6 human tonsillar B cell populatios (naive B cells, pre-germinal center B cells, centrocytes, centroblasts, memory B cells, and plasma cells) were determined by deep sequencing. These samples were compared to mouse developing lymphocytes, various hematopoietic cell lineages, and tissues.

2010-07-24 | GSE23090 | GEO

tonsil microbiome

Project description:The effect of amoxicillin with clavulanate on the microbiome of tonsillar tissue in disease

| PRJNA591372 | ENA