Jessica Vazquez1, Melina Chavarria1, Yan Li1, Gladys E Lopez1, Aleksandar K Stanic1,2. 1. Division of Reproductive Sciences, Department of Obstetrics and Gynecology, University of Wisconsin-Madison, Madison, WI, USA. 2. Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, University of Wisconsin-Madison, Madison, WI, USA.
Abstract
PROBLEM: Decidual immune dysregulation is thought to underlie major pregnancy disorders; however, incomplete understanding of the decidual immune interface has hampered the mechanistic investigation. METHOD OF STUDY: Human term decidua was collected, and single-cell phenotypic information was acquired by highly polychromatic flow cytometry. Cellular identity analysis was performed with t-distributed stochastic neighbor embedding, DensVM clustering, and matched to CellOntology database. RESULTS: Traditional analytical methods validated known cellular T and dendritic cell subsets in human term decidua. Computational analysis revealed a complex and tissue-specific decidual immune signature in both the innate and adaptive immune compartments. CONCLUSION: Polychromatic flow cytometry with a streamlined computational analysis pipeline is a feasible approach to comprehensive immunome mapping of human term decidua. As an unbiased, standardized method of investigation, computational flow cytometry promises to unravel the immune pathology of pregnancy disorders.
PROBLEM: Decidual immune dysregulation is thought to underlie major pregnancy disorders; however, incomplete understanding of the decidual immune interface has hampered the mechanistic investigation. METHOD OF STUDY: Human term decidua was collected, and single-cell phenotypic information was acquired by highly polychromatic flow cytometry. Cellular identity analysis was performed with t-distributed stochastic neighbor embedding, DensVM clustering, and matched to CellOntology database. RESULTS: Traditional analytical methods validated known cellular T and dendritic cell subsets in human term decidua. Computational analysis revealed a complex and tissue-specific decidual immune signature in both the innate and adaptive immune compartments. CONCLUSION: Polychromatic flow cytometry with a streamlined computational analysis pipeline is a feasible approach to comprehensive immunome mapping of human term decidua. As an unbiased, standardized method of investigation, computational flow cytometry promises to unravel the immune pathology of pregnancy disorders.
Authors: Mélanie Courtot; Justin Meskas; Alexander D Diehl; Radina Droumeva; Raphael Gottardo; Adrin Jalali; Mohammad Jafar Taghiyar; Holden T Maecker; J Philip McCoy; Alan Ruttenberg; Richard H Scheuermann; Ryan R Brinkman Journal: Bioinformatics Date: 2014-12-06 Impact factor: 6.937
Authors: Catharina Bartmann; Markus Junker; Sabine E Segerer; Sebastian F Häusler; Mathias Krockenberger; Ulrike Kämmerer Journal: Am J Reprod Immunol Date: 2016-02-03 Impact factor: 3.886
Authors: Jessica Vazquez; Melina Chavarria; Gladys E Lopez; Mildred A Felder; Arvinder Kapur; Antonio Romo Chavez; Nathan Karst; Lisa Barroilhet; Manish S Patankar; Aleksandar K Stanic Journal: Am J Reprod Immunol Date: 2020-06-30 Impact factor: 3.886
Authors: Elizabeth Ann L Enninga; Jin Sung Jang; Benjamin Hur; Erica L Johnson; Myra J Wick; Jaeyun Sung; Rana Chakraborty Journal: Am J Reprod Immunol Date: 2020-11-04 Impact factor: 3.886
Authors: Jessica Vazquez; Melina Chavarria; Deborah A Chasman; Rene Welch Schwartz; Chanel T Tyler; Gladys Lopez; Rachel C Fisher; Irene M Ong; Aleksandar K Stanic Journal: Am J Reprod Immunol Date: 2021-10-27 Impact factor: 3.886
Authors: Shadi Toghi Eshghi; Amelia Au-Yeung; Chikara Takahashi; Christopher R Bolen; Maclean N Nyachienga; Sean P Lear; Cherie Green; W Rodney Mathews; William E O'Gorman Journal: Front Immunol Date: 2019-06-05 Impact factor: 7.561
Authors: Yan Li; Gladys E Lopez; Jessica Vazquez; Yan Sun; Melina Chavarria; Payton N Lindner; Samantha Fredrickson; Nathan Karst; Aleksandar K Stanic Journal: Front Immunol Date: 2018-09-19 Impact factor: 7.561
Authors: Jessica Vazquez; Deborah A Chasman; Gladys E Lopez; Chanel T Tyler; Irene M Ong; Aleksandar K Stanic Journal: Front Immunol Date: 2020-01-24 Impact factor: 8.786
Authors: Anita van der Zwan; Vincent van Unen; Guillaume Beyrend; Sandra Laban; Carin van der Keur; Hanneke J M Kapsenberg; Thomas Höllt; Susana M Chuva de Sousa Lopes; Marie-Louise P van der Hoorn; Frits Koning; Frans H J Claas; Michael Eikmans; Sebastiaan Heidt Journal: Front Immunol Date: 2020-10-26 Impact factor: 7.561