Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Immunologic features of nontuberculous mycobacterial pulmonary disease based on spatially resolved whole transcriptomes

ABSTRACT: Immunologic features of nontuberculous mycobacterial pulmonary disease based on spatially resolved whole transcriptomes

PROVIDER: PRJNA1142902 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR30072300_1.fastq.gz	Fastqsanger.gz
	SRR30072300_2.fastq.gz	Fastqsanger.gz
	SRR30072400_1.fastq.gz	Fastqsanger.gz
	SRR30072400_2.fastq.gz	Fastqsanger.gz
	SRR30072301_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 384

Similar Datasets

Immunologic features of nontuberculous mycobacterial pulmonary disease based on spatially resolved whole transcriptomes

Project description:The immunologic features of nontuberculous mycobacterial pulmonary disease (NTM-PD) are largely unclear. This study investigated the immunologic features of NTM-PD using digital spatial profiling techniques. Lung tissues obtained from six patients with NTM-PD between January 1, 2006, and December 31, 2020, at Seoul National University Hospital were subjected to RNA sequencing. Cores from the peribronchial and fibrotic stromal areas were stained with CD3, CD68, and DNASyto13, and gene expression at the whole-transcriptome level was quantified using PCR amplification and Illumina sequencing. Lung tissues from four patients with bronchiectasis collected during the same period were used as controls. The RNA sequencing results were validated using immunohistochemistry (IHC) in another cohort (30 patients with NTM-PD and 15 patients with bronchiectasis). NTM-PD exhibited distinct gene expression patterns in T cells and macrophages. Gene set enrichment analysis revealed that pathways related to antigen presentation and processing were upregulated in NTM-PD, particularly in macrophages. Macrophages were more prevalent and the expression of genes associated with the M1 phenotype (CD40 and CD80) was significantly elevated. Although macrophages were activated in the NTM-PD group T cell activity was unaltered. Notably, expression of the costimulatory molecule CD28 was decreased in NTM-PD. IHC analysis showed that T cells expressing Foxp3 or TIM-3, which facilitate the regulatory functions of T cells, were increased. From these, NTM-PD exhibits distinct immunologic signatures characterized by the activation of macrophages without T cell activation.

2024-08-06 | GSE273714 | GEO

Spatially resolved epigenomic profiling of single cells in complex tissues

Project description:The recent development of spatial omics enables single-cell profiling of the transcriptome and the 3D organization of the genome in a spatially resolved manner. A spatial epigenomics method would expand the repertoire of spatial omics tools and accelerate our understanding of the spatial regulation of cellular processes and tissue functions. Here, we developed an imaging approach for spatially resolved profiling of epigenetic modifications in single cells

2022-12-16 | GSE191069 | GEO

Mycobacterial communities in pulmonary NTM

Project description:Profiling Mycobacterial Communities in Pulmonary Nontuberculous Mycobacterial Disease

| PRJEB22153 | ENA

High-sensitive spatially resolved T cell receptor sequencing with SPTCR-seq

Project description:Understanding the spatial distribution of T cells is pivotal to decrypting immune dysfunction in cancer. Current spatially resolved transcriptomics fall short in directly annotating T cell receptors (TCRs), limiting the comprehension of anti-cancer immunity. We introduce a novel technology, Spatially Resolved T Cell Receptor Sequencing (SPTCR-seq), integrating target enrichment and long-read sequencing for highly sensitive TCR sequencing. This approach yields an on-target rate of ~85%, and via a bespoke computational pipeline, it provides meticulous spatial mapping, error correction, and UMI refinement. SPTCR-seq outperforms PCR-based methods, offering superior reconstruction of the complete TCR architecture, inclusive of V, D, J regions and the vital complementarity-determining region 3 (CDR3). Applying SPTCR-seq, we reveal local T cell diversity, clonal expansion, and transcriptional evolution across spatially distinct niches in glioblastoma, identifying critical involvement of NK and B cells in spatial T cell adaptation. SPTCR-seq, by bridging spatially resolved omics and TCR sequencing, stands as a robust tool for exploring T cell dysfunction in cancers and beyond.

2023-07-25 | GSE238071 | GEO

Spatially resolved multiomics of human cardiac niches - Visium

Project description:Spatially resolved multiomics of human cardiac niches - Visium

| PRJEB62497 | ENA

Mapping spatially resolved transcriptomes in human and mouse pulmonary fibrosis

Project description:Idiopathic pulmonary fibrosis (IPF) is a progressive lung disease with poor prognosis and limited treatment options. Efforts to identify effective treatments are thwarted by limited understanding of IPF pathogenesis and poor translatability of available preclinical models. To address these limitations, we generated spatially resolved transcriptome maps of human IPF and bleomycin-induced mouse lung fibrosis.

2024-05-21 | GSE267904 | GEO

RNAseq to understand the host transcriptome during nontuberculous mycobacterial lung infection

Project description:We sought to elucidate the differentially expressed host factors in bronchoalveolar lavage cells (BALc) from nontuberculous mycobacteria (NTM)-infected subjects by studying the host transcriptome in during infection. A heatmap was created from the normalized expression of selected genes that showed statistically significant differential expression between NTM-infected and uninfected subjects. Genes with similar expression patterns were grouped and the most highly expressed genes are shown. One of the most differentially expressed gene in the NTM-infected group was the CFD (complement factor D) gene. Of note, a statistically significant three-fold increase in expression of the CAMP gene, encoding the LL-37 peptide was observed in the NTM-infected subject group (padj=0.05).

2018-09-30 | GSE103852 | GEO

Spatiotemporal heterogeneity of inflammatory changes in Alzheimer's disease analyzed spatially resolved transcriptome

Project description:We investigated spatiotemporal molecular patterns related to AD pathophsiology using spatially resolved transcriptome of the AD mouse model. The late change of gray matters of AD was commonly related to neuroinflammation, while the early change in the white matter of AD represented neuronal projection and ensheathment of axons before the amyloid plaques accumulation. Disease-associated microglia and astrocyte signatures were spatially differently enriched. Our results provide a key spatiotemporally heterogeneous molecular change particularly related to inflammation in AD.

2024-01-10 | GSE174321 | GEO

Spatial-CUT&Tag: Spatially resolved chromatin modification profiling at the cellular level

Project description:Spatial omics emerged as a new frontier of biological and biomedical research. Here, we present spatial-CUT&Tag for spatially resolved genome-wide profiling of histone modifications by combining in situ CUT&Tag chemistry, microfluidic deterministic barcoding, and next-generation sequencing. Spatially resolved chromatin states in mouse embryos revealed tissue-type-specific epigenetic regulations in concordance with ENCODE references and provide spatial information at tissue scale. Spatial-CUT&Tag revealed epigenetic control of the cortical layer development and spatial patterning of cell types determined by histone modification in mouse brain. Single-cell epigenomes can be derived in situ by identifying 20-micrometer pixels containing only one nucleus using immunofluorescence imaging. Spatial chromatin modification profiling in tissue may offer new opportunities to study epigenetic regulation, cell function, and fate decision in normal physiology and pathogenesis.

2022-02-10 | GSE165217 | GEO

A spatially resolved single cell atlas of human gastrulation

Project description:A spatially resolved single cell atlas of human gastrulation

| PRJEB40781 | ENA