bioRxivSystems BiologyPreprint
A stress-function tradeoff organizes epithelial heterogeneity across spatial scales in the human thyroid
Yael Korem KohanimiD, Tal BarkaiiD, Roy NovoselskyiD, Sapir ShiriD, Keren Bahar HalperniD, Shlomit Reich-ZeligeriD, Jacob ElkahaliD, Idit TessleriD, Shaked ShivatzkiiD, Ignat Schwartz, Eric RemeriD, Galit AvioriD, Rouven HoeffliniD, Merav KedmiiD, Hadas Keren‐ShauliD, Inna GoliandiD, Yoseph AddadiiD, Ofra GolaniiD, Eran Emanuel AloniD, Shalev ItzkovitziD, Ruslan M. MedzhitoviD
Abstract
Many organs are organized into repeating anatomical units, yet how cellular heterogeneity is structured within and between these units remains poorly understood. Here we use spatial transcriptomics to dissect multiscale heterogeneity in the human thyroid gland, a tissue composed of hormone-producing follicles. Across human thyroid samples spanning non-inflamed to inflamed states, we develop a follicle-aware analytical framework that separates intra-follicular from inter-follicular variability. We find that heterogeneity among thyrocytes is not dominated by differences in hormone synthesis but instead by two opposing transcriptional programs: an active hormone-producing state and a damage-response thyrocyte (DRT) state enriched for stress, immune, and damage-response pathways. DRTs are spatially clustered, associated with DNA damage markers, and are enriched near immune niches. Notably, the balance between active and damage-response programs constitutes a major axis of variability across cells, follicles, and patients. Our findings highlight a damage-response epithelial thyrocyte state that may be fundamental to follicular function in the human thyroid and provide a general framework for studying heterogeneity in tissues composed of repeating anatomical units.
- organism: human
- assay: spatial transcriptomics
- research focus: cell type annotation
- research focus: clustering
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Single-cell transcriptome analysis reveals cell-cell communication and thyrocyte diversity in the zebrafish thyroid gland
Pierre Gillotay, Meghna Shankar, … Sumeet Pal Singh·EMBO ReportsPeer-reviewed·Nov 3, 2020
- Single-cell analysis reveals the cellular and transcriptional diversity of thyrocytes in the normal pediatric thyroid
Erin Renée Reichenberger, Nicholas E. Bambach, … Aime T. Franco·bioRxiv·Nov 17, 2025
- A developmental cell atlas of the human thyroid gland
Hassan Massalha, Mi K. Trinh, … Nadia A. Schoenmakers·bioRxiv·Aug 22, 2024
- An integrated single-cell and spatial transcriptomic atlas of thyroid cancer progression identifies prognostic fibroblast subpopulations
Matthew A. Loberg, George Jing Xu, … Vivian Lee Weiss·JCI InsightPeer-reviewed·Jan 1, 2026
- Immune-parenchymal multicellular niches are shared across distinct thyroid autoimmune diseases
Michelle Rengarajan, Rachelly Normand, … Alexandra–Chloé Villani·bioRxiv·Mar 30, 2025
- Idiosyncratic and generic single nuclei and spatial transcriptional patterns in papillary and anaplastic thyroid cancers
A. Tourneur, J. Rodrigues Vitoria, … V. Detours·bioRxiv·Feb 15, 2024