2020
DOI: 10.2144/btn-2020-0044
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Assigning Immunoglobulin Class from Single-Cell Transcriptomes in IgA1-Secreting Versus Membrane Subpopulations

Abstract: IgA nephropathy (IgAN) is an autoimmune disease characterized by renal glomerular immunodeposits enriched for galactose-deficient IgA1 (Gd-IgA1; autoantigen) with the corresponding IgG autoantibodies. Despite the known contribution of Gd-IgA1 to IgAN, little is known concerning IgA1-secreting subpopulations responsible for autoantigen production. The goal of this study is to identify IgA1-secreting and membrane subpopulations from single-cell transcriptomic analysis. We developed a novel single-cell analytics … Show more

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“…Further processing used an open-source R software tool from Dr. Satija’s lab, Seurat V4.01 ( https://satijalab.org/seurat/ ), and a software package from Alteryx for the flexible design of large-scale database analysis ( www.alteryx.com ). In addition, scaffold gene data (non-contiguous gene sequences not in hg38) from published sources on splice variants of IGHA1 (immunoglobulin heavy chain A1) that determine secreted ( IGHA1s ) vs. membrane-bound ( IGHA1m ) IgA1 isoforms were inserted into the hg38 gene reference database [ 25 ]. Based on this approach, we identified 1164 and 1400 IgA1-secreting cells ( IGHA1s) from healthy-control- and IgAN-derived cells, respectively.…”
Section: Methodsmentioning
confidence: 99%
“…Further processing used an open-source R software tool from Dr. Satija’s lab, Seurat V4.01 ( https://satijalab.org/seurat/ ), and a software package from Alteryx for the flexible design of large-scale database analysis ( www.alteryx.com ). In addition, scaffold gene data (non-contiguous gene sequences not in hg38) from published sources on splice variants of IGHA1 (immunoglobulin heavy chain A1) that determine secreted ( IGHA1s ) vs. membrane-bound ( IGHA1m ) IgA1 isoforms were inserted into the hg38 gene reference database [ 25 ]. Based on this approach, we identified 1164 and 1400 IgA1-secreting cells ( IGHA1s) from healthy-control- and IgAN-derived cells, respectively.…”
Section: Methodsmentioning
confidence: 99%