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Transcriptomic comparison of in vitro models of the human placenta.
Lapehn, Samantha; Nair, Sidharth; Firsick, Evan J; MacDonald, James; Thoreson, Ciara; Litch, James A; Bush, Nicole R; Kadam, Leena; Girard, Sylvie; Myatt, Leslie; Prasad, Bhagwat; Sathyanarayana, Sheela; Paquette, Alison G.
Affiliation
  • Lapehn S; Center for Developmental Biology and Regenerative Medicine, Seattle Children!s Research Institute, Seattle, WA 98101 United States.
  • Nair S; Center for Developmental Biology and Regenerative Medicine, Seattle Children!s Research Institute, Seattle, WA 98101 United States.
  • Firsick EJ; Center for Developmental Biology and Regenerative Medicine, Seattle Children!s Research Institute, Seattle, WA 98101 United States.
  • MacDonald J; Department of Environmental and Occupational Health Sciences, University of Washington School of Public Health, Seattle, WA 98195 United States.
  • Thoreson C; Global Alliance to Prevent Prematurity and Stillbirth, Lynwood, WA 98036 United States.
  • Litch JA; Global Alliance to Prevent Prematurity and Stillbirth, Lynwood, WA 98036 United States.
  • Bush NR; Department of Psychiatry and Behavioral Sciences; Department of Pediatrics, University of California San Francisco, San Francisco, CA 94143 United States.
  • Kadam L; Department of Obstetrics and Gynecology, Oregon Health & Science University, Portland, OR 97239 United States.
  • Girard S; Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN 55905 United States.
  • Myatt L; Department of Obstetrics and Gynecology, Oregon Health & Science University, Portland, OR 97239 United States.
  • Prasad B; Department of Pharmaceutical Sciences, Washington State University, Spokane, WA 99202 United States.
  • Sathyanarayana S; Department of Pediatrics, University of Washington School of Medicine, Seattle, WA 98195 United States.
  • Paquette AG; Center for Child Health, Behavior and Development, Seattle Children!s Research Institute, Seattle, WA 98101 United States.
bioRxiv ; 2024 Jun 16.
Article in En | MEDLINE | ID: mdl-38915703
ABSTRACT
Studying the human placenta through in vitro cell culture methods is necessary due to limited access and amenability of human placental tissue to certain experimental methods as well as distinct anatomical and physiological differences between animal and human placentas. Selecting an in vitro culture model of the human placenta is challenging due to representation of different trophoblast cell types with distinct biological roles and limited comparative studies that define key characteristics of these models. Therefore, the aim of this research was to create a comprehensive transcriptomic comparison of common in vitro models of the human placenta compared to bulk placental tissue from the CANDLE and GAPPS cohorts (N=1083). We performed differential gene expression analysis on publicly available RNA sequencing data from 6 common in vitro models of the human placenta (HTR-8/SVneo, BeWo, JEG-3, JAR, Primary Trophoblasts, and Villous Explants) and compared to CANDLE and GAPPS bulk placental tissue or cytotrophoblast, syncytiotrophoblast, and extravillous trophoblast cell types derived from bulk placental tissue. All in vitro placental models had a substantial number of differentially expressed genes (DEGs, FDR<0.01) compared to the CANDLE and GAPPS placentas (Average DEGs=10,873), and the individual trophoblast cell types (Average DEGs=5,346), indicating that there are vast differences in gene expression compared to bulk and cell-type specific human placental tissue. Hierarchical clustering identified 53 gene clusters with distinct expression profiles across placental models, with 22 clusters enriched for specific KEGG pathways, 7 clusters enriched for high-expression placental genes, and 7 clusters enriched for absorption, distribution, metabolism, and excretion genes. In vitro placental models were classified by fetal sex based on expression of Y-chromosome genes that identified HTR-8/SVneo cells as being of female origin, while JEG-3, JAR, and BeWo cells are of male origin. Overall, none of the models were a close approximation of the transcriptome of bulk human placental tissue, highlighting the challenges with model selection. To enable researchers to select appropriate models, we have compiled data on differential gene expression, clustering, and fetal sex into an accessible web application "Comparative Transcriptomic Placental Model Atlas (CTPMA)" which can be utilized by researchers to make informed decisions about their selection of in vitro placental models.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: BioRxiv Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: BioRxiv Year: 2024 Document type: Article