Summary: Kidney transplantation offers the best survival and quality of life for patients’ with end-stage kidney disease. The major barrier to successful long-term transplantation is the host’s immune response to alloantigens’ causing rejection of the transplant. The complexity of this immune response in kidney transplantation is still not fully understood and effective treatment strategies are needed. To better understand rejection at the molecular and cellular level we characterized 4,487 cells from a single biopsy core from a kidney transplant undergoing mixed rejection using single cell RNA sequencing.
Overall Design: InDrop was used to generate single cell profiles from a allograft kidney biopsy
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Species: |
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Tissue: |
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Healthy Condition: |
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Growth Protocol: | - |
Treatment Protocol: | - |
Extract Protocol: | RNA libraries were prepared for sequencing using standard inDrops procedure.Single cell RNA-seq |
Library Construction Protocol: | - |
Molecule Type: | poly(A)+ RNA |
Library Source: | |
Library Layout: | PAIRED |
Library Strand: | Forward |
Platform: | ILLUMINA |
Instrument Model: | Illumina HiSeq 2500; Illumina NextSeq 500 |
Strand-Specific: | Specific |
Data Resource | GEN Sample ID | GEN Dataset ID | Project ID | BioProject ID | Sample ID | Sample Name | BioSample ID | Sample Accession | Experiment Accession | Release Date | Submission Date | Update Date | Species | Race | Ethnicity | Age | Age Unit | Gender | Source Name | Tissue | Cell Type | Cell Subtype | Cell Line | Disease | Disease State | Development Stage | Mutation | Phenotype | Case Detail | Control Detail | Growth Protocol | Treatment Protocol | Extract Protocol | Library Construction Protocol | Molecule Type | Library Layout | Strand-Specific | Library Strand | Spike-In | Strategy | Platform | Instrument Model | Cell Number | Reads Number | Gbases | AvgSpotLen1 | AvgSpotLen2 | Uniq Mapping Rate | Multiple Mapping Rate | Coverage Rate |
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