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Single-cell epigenetic landscape, microenvironment interactions, and gene regulatory modules of non-functioning pituitary adenomas

  • Zidong Zhang
  • , Wan Sze Cheng
  • , Keiko Taniguchi-Ponciano
  • , Daniel Marrero-Rodríguez
  • , Gregory R. Smith
  • , Hanna Pincas
  • , Tyler J. Sagendorf
  • , Natalia Mendelev
  • , Galia Strupinsky
  • , Yongchao Ge
  • , Michel Zamojski
  • , Xi Chen
  • , Mary Anne S. Amper
  • , Christopher Y. Park
  • , Venugopalan D. Nair
  • , Cynthia L. Andoniadou
  • , Judith L. Turgeon
  • , Elena Zaslavsky
  • , Olga G. Troyanskaya
  • , Moises Mercado
  • Stuart C. Sealfon, Frederique Ruf-Zamojski

Research output: Contribution to journalArticlepeer-review

Abstract

The epigenetic landscape and tumor microenvironment (TME) interactions of non-functioning pituitary adenomas (NFPAs), benign tumors with high morbidity and recurrence rates, are not well characterized. We completed single-nucleus (sn) multiomics assays on 4 gonadotrope NFPAs (34,819 cells) and 11 non-diseased postmortem control pituitaries (51,535 cells), finding decreased proportions of tumor-associated endothelial cells and pericytes and increased proportions of macrophages. We identified bidirectional tumor-macrophage crosstalk comprising nine ligand-receptor interactions and experimentally validated the macrophage-initiated SFRP1-FZD6 interaction, whose predicted target genes CCND1, CDK6, SGK1, and TGFBR2 were linked to tumorigenesis. We uncovered coordinated gene expression and chromatin accessibility programs, which distinguished adenoma cells from gonadotropes. Integrated transcriptome-chromatin modeling revealed gene regulatory circuits (GRCs) that showed altered activity in adenoma cells and were regulated by transcription factors (TFs), including PBX3 and MEF2C. Our study provides insight into the altered epigenetic gene control landscape and TME processes of the NFPA tumor phenotype. Our data are freely available at https://rstudio-connect.hpc.mssm.edu/nfpa_browser/.

Original languageEnglish (US)
Article number101532
JournalCell Systems
Volume17
Issue number4
DOIs
StatePublished - Apr 15 2026

All Science Journal Classification (ASJC) codes

  • Pathology and Forensic Medicine
  • Histology
  • Cell Biology

Keywords

  • adenoma classification
  • chromatin accessibility
  • copy number variation
  • gene regulatory circuit
  • multiomics
  • pituitary adenomas
  • single-cell analysis
  • transcriptome
  • tumor microenvironment

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