HCA kidney seed network: University of Michigan

Matthias Kretzler, Edgar Otto, Christopher O’ Connor, Markus Bitzer, Rajasree Menon

Abstract

The datasets contain single cell RNA sequencing data from the normal region of tumor-nephrectomy samples.

Datasets

1. Single cell RNA-seq data from normal adult kidney tissue
Metadata
donor_id
self_reported_ethnicity_ontology_term_id
donor_BMI
organism_ontology_term_id
sample_uuid
sample_preservation_method
tissue_ontology_term_id
development_stage_ontology_term_id
suspension_uuid
suspension_type
library_uuid
assay_ontology_term_id
mapped_reference_annotation
cell_type_ontology_term_id
author_cell_type
cell_state
disease_ontology_term_id
reported_diseases
sex_ontology_term_id
tissue_type
cell_type
assay
disease
organism
sex
tissue
self_reported_ethnicity
development_stage
PRECISE-9437765861 cells
21_0195035 cells
PRECISE_023_N4992 cells
HCA_54_ref4715 cells
20-668_N3410 cells
20-649_N2979 cells
HCA_51_ref2902 cells
PRECISE-9454202437 cells
21_0152075 cells
56-ref1919 cells
HCA_55_ref1786 cells
21_0161760 cells
57-ref1625 cells
PRECISE165536-000-003N1611 cells
HCA_29_ref1603 cells
20-687_N1528 cells
21_0201293 cells
20-688_N1252 cells
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HCA kidney seed network: University of Michigan

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Source data

https://cellxgene.cziscience.com/collections/a98b828a-622a-483a-80e0-15703678befd

Alias names

Cite this study

https://explore.data.humancellatlas.org/projects/29ed827b-c539-4f4c-bb6b-ce8f9173dfb7 https://explore.data.humancellatlas.org/projects/29ed827b-c539-4f4c-bb6b-ce8f9173dfb7