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Discovering Molecular Signatures in ATMR: Single-cell RNA Sequencing Analysis of Human Blood and Tissue Spatial Transcriptomics [scRNA-seq]

ABSTRACT: Discovering Molecular Signatures in ATMR: Single-cell RNA Sequencing Analysis of Human Blood and Tissue Spatial Transcriptomics [scRNA-seq]

PROVIDER: PRJNA1046019 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR26978600_1.fastq.gz	Fastqsanger.gz
	SRR26978600_2.fastq.gz	Fastqsanger.gz
	SRR26978583_1.fastq.gz	Fastqsanger.gz
	SRR26978583_2.fastq.gz	Fastqsanger.gz
	SRR26978584_1.fastq.gz	Fastqsanger.gz

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Discovering Molecular Signatures in ATMR: Single-cell RNA Sequencing Analysis of Human Blood and Tissue Spatial Transcriptomics [Spatial Transcriptomics]

Project description:Discovering Molecular Signatures in ATMR: Single-cell RNA Sequencing Analysis of Human Blood and Tissue Spatial Transcriptomics [Spatial Transcriptomics]

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Discovering Molecular Signatures in ATMR: Single-cell RNA Sequencing Analysis of Human Blood and Tissue Spatial Transcriptomics [scRNA-seq]

Project description:Background. Acute T cell-mediated rejection (ATMR) is a significant challenge in kidney allograft. Despite this, high-resolution transcriptomic analysis of both the targeted tissue and systemic blood is lacking. To address this void, we embarked on a study employing single-cell RNA sequencing (scRNA-seq) on peripheral blood mononuclear cells (PBMCs), coupled with spatial transcriptomics analysis on graft biopsy specimens, to unveil the intricacies of ATMR. Methods. We collected paired pre- and post-operative blood samples from six kidney transplant patients. Among these, two patients exhibited a lack of rejection, while four patients bore biopsy-proven ATMR. By scrutinizing tissue samples from protocol biopsies taken two weeks post-operation in comparison to zero-time biopsies. Moreover, our investigation delved into peripheral blood samples, where we detected an expanded cell population within PBMCs, presumed to harbor numerous alloreactive T cells. This CD8+ effector memory (CD8 Tem) cell population was subsequently examined for DEGs between the two patient groups. Results. Our comprehensive approach, which combined scRNA-seq and spatial transcriptomics results, unveiled specific genes such as LTB, GZMK, STAT1, PSME2, UBE2L6, and GBP5, which showcased heightened expression levels among ATMR patients. Network analysis underscored the interconnection of STAT1 with the other identified genes, suggesting its plausible role in the rejection process. Conclusions. Our findings demonstrate CD8+ STAT1+ hold notable significance in the context of ATMR. This subpopulation undergoes clonal expansion and retains a memory phenotype, there by contributing to a heightened and swifter inflammatory response within the graft.

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