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Placental cell type deconvolution reveals that cell proportions drive preeclampsia gene expression differences

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...

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Autores principales: Campbell, Kyle A., Colacino, Justin A., Puttabyatappa, Muraly, Dou, John F., Elkin, Elana R., Hammoud, Saher S., Domino, Steven E., Dolinoy, Dana C., Goodrich, Jaclyn M., Loch-Caruso, Rita, Padmanabhan, Vasantha, Bakulski, Kelly M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011423/
https://www.ncbi.nlm.nih.gov/pubmed/36914823
http://dx.doi.org/10.1038/s42003-023-04623-6
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author Campbell, Kyle A.
Colacino, Justin A.
Puttabyatappa, Muraly
Dou, John F.
Elkin, Elana R.
Hammoud, Saher S.
Domino, Steven E.
Dolinoy, Dana C.
Goodrich, Jaclyn M.
Loch-Caruso, Rita
Padmanabhan, Vasantha
Bakulski, Kelly M.
author_facet Campbell, Kyle A.
Colacino, Justin A.
Puttabyatappa, Muraly
Dou, John F.
Elkin, Elana R.
Hammoud, Saher S.
Domino, Steven E.
Dolinoy, Dana C.
Goodrich, Jaclyn M.
Loch-Caruso, Rita
Padmanabhan, Vasantha
Bakulski, Kelly M.
author_sort Campbell, Kyle A.
collection PubMed
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 (log(2) 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.
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spelling pubmed-100114232023-03-15 Placental cell type deconvolution reveals that cell proportions drive preeclampsia gene expression differences Campbell, Kyle A. Colacino, Justin A. Puttabyatappa, Muraly Dou, John F. Elkin, Elana R. Hammoud, Saher S. Domino, Steven E. Dolinoy, Dana C. Goodrich, Jaclyn M. Loch-Caruso, Rita Padmanabhan, Vasantha Bakulski, Kelly M. Commun Biol Article 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 (log(2) 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. Nature Publishing Group UK 2023-03-13 /pmc/articles/PMC10011423/ /pubmed/36914823 http://dx.doi.org/10.1038/s42003-023-04623-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Campbell, Kyle A.
Colacino, Justin A.
Puttabyatappa, Muraly
Dou, John F.
Elkin, Elana R.
Hammoud, Saher S.
Domino, Steven E.
Dolinoy, Dana C.
Goodrich, Jaclyn M.
Loch-Caruso, Rita
Padmanabhan, Vasantha
Bakulski, Kelly M.
Placental cell type deconvolution reveals that cell proportions drive preeclampsia gene expression differences
title Placental cell type deconvolution reveals that cell proportions drive preeclampsia gene expression differences
title_full Placental cell type deconvolution reveals that cell proportions drive preeclampsia gene expression differences
title_fullStr Placental cell type deconvolution reveals that cell proportions drive preeclampsia gene expression differences
title_full_unstemmed Placental cell type deconvolution reveals that cell proportions drive preeclampsia gene expression differences
title_short Placental cell type deconvolution reveals that cell proportions drive preeclampsia gene expression differences
title_sort placental cell type deconvolution reveals that cell proportions drive preeclampsia gene expression differences
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011423/
https://www.ncbi.nlm.nih.gov/pubmed/36914823
http://dx.doi.org/10.1038/s42003-023-04623-6
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