Project description:Purpose: Spatial transcriptomics was used to characterize in depth splenic samples obtained from splenic marginal zone lymphomas Methods: 4 frozen samples of spleen from SMZL patients, and 1 healthy donor were selected and thawed for performing a 10X genomics Visium Spatial assay. Results: Tumor cells formed mainly patient specific-B cell clusters, while T-cells from the 3 patients and healthy donors clustered together. Conclusion: Single RNA-Seq unveils inter- and intra-patient heterogeneity.

2024-09-17 | GSE228056 | GEO

Saliva from a healthy donor

Project description:Metagenome of Oral biofilm cultured from healthy donor saliva

| PRJNA1296838 | ENA

RICU NTM study

Project description:RICU NTM study

| PRJEB61771 | ENA

ScRNA-seq datasets of Blood transcriptomics reveals the value of Hub genes in patients with NTM - PD

Project description:To identify and validate peripheral blood mRNA signatures as non-invasive diagnostic biomarkers for nontuberculous mycobacterial pulmonary disease (NTM-PD), we performed an integrated transcriptomic analysis combining scRNA-seq and bulk RNA sequencing (RNA-seq), followed by experimental validation.Peripheral blood samples were collected from a total of 8 participants, including 3 patients with Mycobacterium avium complex pulmonary disease (MAC-PD), 3 patients with Mycobacterium abscessus pulmonary disease (MAB-PD), and 2 healthy controls (HC). All samples were subjected to scRNA-seq to dissect the single-cell transcriptomic landscape of peripheral blood, and paired bulk RNA-seq was conducted simultaneously to achieve comprehensive transcriptomic profiling.Integrated analysis of scRNA-seq and bulk RNA-seq datasets revealed that eight core genes were significantly upregulated in NTM-PD patients compared with HCs. Notably, this gene signature exhibited superior specificity relative to other candidate gene combinations, highlighting its potential as a diagnostic biomarker for NTM-PD.

2026-01-24 | GSE316872 | GEO

Single-cell RNAseq (10x Genomics) analysis of human CD4+ T cells in IPEX patients, healthy donors and heterozygous mothers (blood).

Project description:Single-cell RNAseq (10x Genomics) analysis of human CD4+ T cells in IPEX patients, healthy donors and heterozygous mothers (blood). Human CD4+T cells from IPEX, HD and mothers were isolated from frozen peripheral blood mononuclear cells by flow cytometry as DAPI–CD3+CD4+ cells. In cohort 1, cells from separate donor were encapsulated in separate channel following 10x Genomics Single Cell 3′ Reagent Kit (V2 chemistry). In cohort 2, samples were tagged using a different Hashtags, pooled and encapsulared following 10x Genomics Single Cell 3′ Reagent Kit (V3 chemistry).

2021-03-02 | GSE167976 | GEO

RNA-seq datasets of Blood transcriptomics reveals the value of Hub genes in patients with NTM - PD

Project description:To identify and validate peripheral blood mRNA signatures as non-invasive diagnostic biomarkers for nontuberculous mycobacterial pulmonary disease (NTM-PD), we performed an integrated transcriptomic analysis combining scRNA-seq and bulk RNA sequencing (RNA-seq), followed by experimental validation. Peripheral blood samples were collected from a total of 8 participants, including 3 patients with Mycobacterium avium complex pulmonary disease (MAC-PD), 3 patients with Mycobacterium abscessus pulmonary disease (MAB-PD), and 2 healthy controls (HC). All samples were subjected to scRNA-seq to dissect the single-cell transcriptomic landscape of peripheral blood, and paired bulk RNA-seq was conducted simultaneously to achieve comprehensive transcriptomic profiling. Integrated analysis of scRNA-seq and bulk RNA-seq datasets revealed that eight core genes were significantly upregulated in NTM-PD patients compared with HCs. Notably, this gene signature exhibited superior specificity relative to other candidate gene combinations, highlighting its potential as a diagnostic biomarker for NTM-PD.

2026-08-04 | GSE341473 | GEO

Individual sorted T cell profiling from healthy donor

Project description:Individual sorted T cell profiling from healthy donor

| PRJNA638939 | ENA