Stanic-Kostic Research Team




 

Aleksandar Stanic-Kostic, MD/PhD

Principal Investigator

stanickostic@wisc.edu

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The Stanic Lab is focused on deciphering the role of Innate Lymphoid cells and immune cellular networks in the architectural organization of the maternal/fetal interface. Dr. Stanic's research program is dedicated to unraveling the cellular networks underlying preeclampsia, intrauterine growth restriction, recurrent pregnancy loss and implantation failure in Assisted Reproductive Technologies. Our lab employs both human and mouse models of reproductive physiology and disease. We use genetic targeting of immune cell development and function to dissect their role in reproductive tissue organization and disease. We collaborate closely with biostatisticians and computer scientists to develop novel workflows for the analysis of our high-dimensional flow cytometry data sets and model the reproductive immune cell network.


Current Members:

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Aleksandar Stanic-Kostic MD/PhD

Principal Investigator 

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Jessica Vazquez PhD

Postdoc 

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Gladys Lopez MS

Research Scientist 

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Payton Lindner BS

Research Scientist 

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Melina Chavarria BS

Research Scientist 

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Luke Parrella

Undergraduate Student 

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Abigail Zettel

Undergraduate Student 

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Jessica Schlundt

Undergraduate Student 

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Laura Cooney MD

Research Partner 

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Rosalina Landeros PhD

Research Partner 

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Chanel Tyler MD

Research Partner 

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Irene Ong PhD

Research Partner 

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Rachel Fisher

Undergraduate Student 

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Eryne Jenkins

Undergraduate Student 

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Past Members:


Cell Trafficking and ILC Fate Mapping Project

Sponsor:


Publications:

All Publications (PubMed)

https://www.ncbi.nlm.nih.gov/pubmed/?term=stanic+ak



The Role of Innate Lymphoid Cells in Decidual Function

Start Date: 5/1/2019 --- End Date: 9/1/2021

Sponsor: NIH/NICHD 5 K12 HD 000849-28

The goal of this project is to determine the role Innate Lymphoid Cells play in decidual vascular remodeling necessary for healthy placenta and pregnancy. Phase I – current – 2 years, Phase 2 – renewal – 2 years.


Publications:

Decidual-Placental Immune Landscape During Syngeneic Murine Pregnancy.

Li Y, Lopez GE, Vazquez J, Sun Y, Chavarria M, Lindner PN, Fredrickson S, Karst N, Stanic AK. Frontiers in immunology. 2018 Sep 19. pii: . 10.3389/fimmu.2018.02087. PMID: 302834412018/10/05 06:00.



Preterm Birth & Computational Cell-omics Project (Stanic/Ong/Tyler)

Sponsor: Burroughs Wellcome Fund Preterm Birth Initiative



PCOS (Cooney/Stanic)

Sponsor:



(PIs: Iruretagoyena / Bird / Stanic), led by Dr. Jenna Racine: Vitamin C as a Potential Treatment for Diminishing the Inflammatory Response of Lymphocytes in Preeclampsia

Sponsor:

We will be constructing in vitro assays for study of T cell activation and will be studying the influence of Vitamin C on cytokine profiles of normal pregnancy and preeclamptic T cells. With the MFM division director Dr. Iruretagoyena, we will also by studing brachial artery reactivity of preeclampsia patients treated the the experimental Vitamin C protocol.




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Laura Cooney MD

Research Partner 

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Dr. Cooney is an assistant professor in the Department of Obstetrics and Gynecology, Reproductive Endocrinology and Infertility. She specializes in female infertility, polycystic ovary syndrome (PCOS), fertility preservation and third party reproduction. Her research interests include: PCOS and in vitro fertilization (IVF) outcomes.


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Rosalina Landeros PhD

Research Partner 

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Dr. Landeros is the Clinical Research Coordinator in charge of our PCOS-IVF-Imflammation personalized medicine study.


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Chanel Tyler MD

Research Partner 

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Dr. Tyler earned her medical degree from MCP Hahnemann School of Medicine and completed her residency in obstetrics and gynecology at the University of Massachusetts Medical School and is board certified in this field. She completed her fellowship in maternal and fetal medicine at University of Wisconsin Hospital and Clinics and is board eligible.


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Irene Ong PhD

Research Partner 

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Dr. Ong’s research interests lies in data mining, machine learning, probabilistic methods, dynamical models, with applications to biological and medical data, particularly trans-omics, cancer immunotherapy, and precision medicine.