HCA Data Explorer

The immune cell landscape in kidneys of patients with lupus nephritis.

Updated April 28, 2023

Lupus nephritis is a potentially fatal autoimmune disease for which the current treatment is ineffective and often toxic. To develop mechanistic hypotheses of disease, we analyzed kidney samples from patients with lupus nephritis and from healthy control subjects using single-cell RNA sequencing. Our analysis revealed 21 subsets of leukocytes active in disease, including multiple populations of myeloid cells, T cells, natural killer cells and B cells that demonstrated both pro-inflammatory responses and inflammation-resolving responses. We found evidence of local activation of B cells correlated with an age-associated B-cell signature and evidence of progressive stages of monocyte differentiation within the kidney. A clear interferon response was observed in most cells. Two chemokine receptors, CXCR4 and CX3CR1, were broadly expressed, implying a potentially central role in cell trafficking. Gene expression of immune cells in urine and kidney was highly correlated, which would suggest that urine might serve as a surrogate for kidney biopsies.

Nir HacohenBroad Institute of MIT and Harvardnhacohen@mgh.harvard.edu
Betty DiamondThe Feinstein Institute for Medical ResearchBDiamond@northwell.edu
Arnon Arazi1
Deepak A Rao2
Celine C Berthier3
Anne Davidson4
Yanyan Liu2
Paul J Hoover1
Adam Chicoine2
Thomas M Eisenhaure1
A Helena Jonsson2
Shuqiang Li1
David J Lieb1
Fan Zhang2
Kamil Slowikowski2
Edward P Browne5
Akiko Noma1
Danielle Sutherby6
Scott Steelman7
Dawn E Smilek8
Patti Tosta8
William Apruzzese2
Elena Massarotti2
Maria Dall’Era8
Meyeon Park8
Diane L Kamen8
Richard A Furie9
Fernanda Payan-Schober9
William F Pendergraft III10
Elizabeth A McInnis11
Jill P Buyon12
Michelle A Petri13
Chaim Putterman13
Kenneth C Kalunian14
E Steve Woodle15
James A Lederer16
David A Hildeman17
Chad Nusbaum7
Soumya Raychaudhuri2
Matthias Kretzler3
Jennifer H Anolik2
Michael B Brenner2
David Wofsy8
Nir Hacohen1
Betty Diamond4
the Accelerating Medicines Partnership in SLE network18
1Broad Institute of MIT and Harvard
2Harvard Medical School
3University of Michigan
4The Feinstein Institute for Medical Research
5University of North Carolina at Chapel Hill
6Celsius Therapeutics
7Cellarity Inc.
8University of California San Francisco
9Medical University of South Carolina
10Northwell Health
11Texas Tech University Health Sciences Center
12The Integrative Medical Clinic of North Carolina
13UNC School of Medicine
14New York University School of Medicine
15Johns Hopkins University
16Albert Einstein College of Medicine and Montefiore Medical Center
17University of California San Diego School of Medicine
18the Accelerating Medicines Partnership in SLE network
Arsenios Chatzigeorgiou

To reference this project, please use the following link:

https://explore.data.humancellatlas.dev.clevercanary.com/projects/2d559a6e-7cd9-432f-9f6e-0e4df03b0888

Supplementary links are provided by contributors and represent items such as additional data which can’t be hosted here; code that was used to analyze this data; or tools and visualizations associated with this specific dataset.

1.https://immunogenomics.io/ampsle; https://immunogenomics.io/cellbrowser/; https://portals.broadinstitute.org/single_cell/study/amp-phase-1; https://www.immport.org/shared/study/SDY997
None

Atlas

None

Analysis Portals

None

Project Label

Hacohen-Human-CELseq2

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

2 anatomical entities

Organ Part

Unspecified

Selected Cell Types

3 cell types

Disease Status (Specimen)

2 disease statuses

Disease Status (Donor)

2 disease statuses

Development Stage

human adult stage

Library Construction Method

2 library construction methods

Nucleic Acid Source

single cell

Paired End

true

Analysis Protocol

10x_analysis, cel_seq2_analysis, cluster_analysis, qc_analysis, ru10_analysis

File Format

4 file formats

Cell Count Estimate

9.2k

Donor Count

39
tsv3 file(s)txt2 file(s)xlsx1 file(s)zip2 file(s)