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Series GSE202983 Query DataSets for GSE202983
Status Public on May 20, 2022
Title Fetal growth restriction through parental and fetal immune gene variation and intercellular communications cascade
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Fetal growth restriction (FGR) affects 5-10% of pregnancies worldwide, and can have serious consequences for both mother and child. Both preventative and treatment strategies are currently largely lacking due to a poor understanding of the pathogenesis of FGR. There is strong genetic evidence for the involvement of KIR and HLA genes in FGR, however, the specific HLA and KIR risk alleles and their functional effects have been difficult to map due to linkage disequilibrium, maternal and paternal influence, and an inability to investigate pathological human pregnancies at critical early gestational stages. Here we demonstrate that the interaction between two defined genes, the maternal KIR2DL1 expressed on uterine natural killer (NK) cells, and the paternally-inherited HLA-C*0501, expressed on fetal trophoblast cells, leads to FGR in a humanised mouse model. We show that the initial KIR2DL1 and C*0501 interaction leads to pathogenic uterine arterial remodeling and a modulation of uterine NK cell function. We delineate how this initial effect cascades to changes in transcriptional expression and intercellular communication in a myriad of cell types and pathways at the maternal-fetal interface. These findings reveal new mechanistic insight into the importance of specific KIR and HLA risk alleles in FGR, and provide new avenues of prevention and treatment to reduce disease burden and improve long-term health outcomes of the child.
 
Overall design We built a mouse single cell atlas of uterine NK cells at mid-gesttaion (gd9.5), using both full length scRNA-seq and 3’ droplet-based scRNA-Seq, from the three different mating groups: KIR x C*05 (FGR), WT x C*05 (control 1) and C*05/KIR x WT mice (control 2). In the full length scRNA-seq cohort, we had five replicates per mating group; in the 3' droplet-based scRNA-Seq cohort, we had four replicates for WT x C*05 (control 1) and three replicates each for KIR x C*05 (FGR) and C*05/KIR x WT (control 2). We also analysed all cell types at the maternal-fetal interface at mid-gestation using droplet-based scRNA-seq from the three different mating groups, with three replicates per mating group.
 
Contributor(s) Kaur G, Porter CM, Ashenberg O, Lee J, Riesenfeld SJ, Hofree M, Aggelakopoulou M, Subramanian A, Kuttikkatte SB, Attfield KE, Desel CE, Davies JL, Evans HG, Avraham-Davidi I, Nguyen LT, Dionne DA, Neumann AE, Jensen LT, Barber TR, Soilleux E, Carrington M, McVean G, Rozenblatt-Rosen O, Regev A, Fugger L
Citation(s) 35906236
Submission date May 13, 2022
Last update date Aug 16, 2022
Contact name Gurman Kaur
E-mail(s) gurman.kaur@imm.ox.ac.uk
Organization name University of Oxford
Department John Radcliffe Hospital
Street address Headley Way
City Oxford
ZIP/Postal code OX3 9DS
Country United Kingdom
 
Platforms (2)
GPL17021 Illumina HiSeq 2500 (Mus musculus)
GPL19057 Illumina NextSeq 500 (Mus musculus)
Samples (2899)
GSM6142579 Unsorted_47.1k_KIRC5F_WTM : cellranger counts
GSM6142580 Unsorted_47.1p_KIRF_C5M : cellranger counts
GSM6142581 Unsorted_43.1h_WTF_C5M : cellranger counts
Relations
BioProject PRJNA837955

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE202983_10xNK_metadata.csv.gz 783.5 Kb (ftp)(http) CSV
GSE202983_10xUnsorted_metadata.csv.gz 1.1 Mb (ftp)(http) CSV
GSE202983_NK_16.2h_KIRC5F_WTM_raw_gene_bc_matrices_h5.h5 26.5 Mb (ftp)(http) H5
GSE202983_NK_17.3d_KIRF_C5M_raw_gene_bc_matrices_h5.h5 27.9 Mb (ftp)(http) H5
GSE202983_NK_43.1G_WTF_C5M_raw_gene_bc_matrices_h5.h5 24.2 Mb (ftp)(http) H5
GSE202983_NK_43.1h_WTF_C5M_raw_gene_bc_matrices_h5.h5 16.1 Mb (ftp)(http) H5
GSE202983_NK_45.3e_KIRF_C5M_raw_gene_bc_matrices_h5.h5 23.6 Mb (ftp)(http) H5
GSE202983_NK_46.2e_KIRC5F_WTM_raw_gene_bc_matrices_h5.h5 18.9 Mb (ftp)(http) H5
GSE202983_NK_46.4c_WTF_C5M_raw_gene_bc_matrices_h5.h5 16.8 Mb (ftp)(http) H5
GSE202983_NK_47.1k_KIRC5F_WTM_raw_gene_bc_matrices_h5.h5 14.0 Mb (ftp)(http) H5
GSE202983_NK_47.1p_KIRF_C5M_raw_gene_bc_matrices_h5.h5 25.6 Mb (ftp)(http) H5
GSE202983_NK_47.2d_WTF_C5M_raw_gene_bc_matrices_h5.h5 21.3 Mb (ftp)(http) H5
GSE202983_Unsorted_16.2h_KIRC5F_WTM_raw_gene_bc_matrices_h5.h5 49.7 Mb (ftp)(http) H5
GSE202983_Unsorted_17.3d_KIRF_C5M_raw_gene_bc_matrices_h5.h5 36.0 Mb (ftp)(http) H5
GSE202983_Unsorted_43.1h_WTF_C5M_raw_gene_bc_matrices_h5.h5 53.6 Mb (ftp)(http) H5
GSE202983_Unsorted_45.3e_KIRF_C5M_raw_gene_bc_matrices_h5.h5 61.3 Mb (ftp)(http) H5
GSE202983_Unsorted_46.2e_KIRC5F_WTM_raw_gene_bc_matrices_h5.h5 75.1 Mb (ftp)(http) H5
GSE202983_Unsorted_46.4c_WTF_C5M_raw_gene_bc_matrices_h5.h5 35.0 Mb (ftp)(http) H5
GSE202983_Unsorted_47.1k_KIRC5F_WTM_raw_gene_bc_matrices_h5.h5 71.6 Mb (ftp)(http) H5
GSE202983_Unsorted_47.1p_KIRF_C5M_raw_gene_bc_matrices_h5.h5 64.4 Mb (ftp)(http) H5
GSE202983_Unsorted_47.2d_WTF_C5M_raw_gene_bc_matrices_h5.h5 46.1 Mb (ftp)(http) H5
GSE202983_rsem.genes.counts.matrix.gz 43.9 Mb (ftp)(http) MATRIX
GSE202983_rsem.genes.tpm.matrix.gz 42.2 Mb (ftp)(http) MATRIX
GSE202983_ss2_metadata.csv.gz 39.9 Kb (ftp)(http) CSV
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