Placental Cell Type Deconvolution Reveals That Cell Proportions Drive Preeclampsia Gene Expression Differences
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2023/03/13
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Details
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Personal Author:Bakulski KM ; Campbell KA ; Colacino JA ; Dolinoy DC ; Domino SE ; Dou JF ; Elkin ER ; Goodrich JM ; Hammoud SS ; Loch-Caruso R ; Padmanabhan V ; Puttabyatappa M
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Description:The placenta mediates adverse pregnancy outcomes, including preeclampsia, which is characterized by gestational hypertension and proteinuria. Placental cell type heterogeneity in preeclampsia is not well-understood and limits mechanistic interpretation of bulk gene expression measures. We generated single-cell RNA-sequencing samples for integration with existing data to create the largest deconvolution reference of 19 fetal and 8 maternal cell types from placental villous tissue (n = 9 biological replicates) at term (n = 40,494 cells). We deconvoluted eight published microarray case-control studies of preeclampsia (n = 173 controls, 157 cases). Preeclampsia was associated with excess extravillous trophoblasts and fewer mesenchymal and Hofbauer cells. Adjustment for cellular composition reduced preeclampsia-associated differentially expressed genes (log2 fold-change cutoff = 0.1, FDR < 0.05) from 1154 to 0, whereas downregulation of mitochondrial biogenesis, aerobic respiration, and ribosome biogenesis were robust to cell type adjustment, suggesting direct changes to these pathways. Cellular composition mediated a substantial proportion of the association between preeclampsia and FLT1 (37.8%, 95% CI [27.5%, 48.8%]), LEP (34.5%, 95% CI [26.0%, 44.9%]), and ENG (34.5%, 95% CI [25.0%, 45.3%]) overexpression. Our findings indicate substantial placental cellular heterogeneity in preeclampsia contributes to previously observed bulk gene expression differences. This deconvolution reference lays the groundwork for cellular heterogeneity-aware investigation into placental dysfunction and adverse birth outcomes. [Description provided by NIOSH]
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ISSN:2399-3642
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Volume:6
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NIOSHTIC Number:nn:20070606
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Citation:Commun Biol 2023 Mar; 6:264
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Contact Point Address:Kelly M. Bakulski, Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
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Email:bakulski@umich.edu
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Federal Fiscal Year:2023
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Performing Organization:University of Michigan, Ann Arbor
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Peer Reviewed:True
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Start Date:20050701
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Source Full Name:Communications Biology
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End Date:20280630
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Main Document Checksum:urn:sha-512:1d1cae89e7cc5db7e9173d82417125ea4a0f86eae714fe10418719e4589a2f92f7d24056e561fe1593f34d99d6929fda343c0a3c8fd99823904b6f064873e4ec
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