Evidence map›Paper›PMID 41727685›Full record

ArticleFrontiers in endocrinology2026

Single-cell analysis reveals the cellular and transcriptional heterogeneity of the normal pediatric thyroid.

Erin R Reichenberger, Nicholas E Bambach, Zachary Spangler, Julio C Ricarte-Filho, Kyle Hinkle, Amber Isaza, Tricia Bhatti, Andrew J Bauer, Aime T Franco

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Erin R Reichenberger *Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
Nicholas E Bambach *Division of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
Zachary SpanglerDivision of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
Julio C Ricarte-FilhoDivision of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
Kyle HinkleDivision of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
Amber IsazaDivision of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
Tricia BhattiDepartment of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, United States.
Andrew J BauerDivision of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
Aime T FrancoDivision of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To enhance the understanding of cellular heterogeneity within the pediatric thyroid, single-nuclei RNA sequencing was used to recover 38,069 non-pathogenic cells from thyroid tissue of three female pediatric/young adult patients. The recovered cells were analyzed using the SWANS (Single Entity Workflow ANalysiS pipeline (version 1.0). Analysis revealed seven major cell types: thyrocytes, endothelial cells, fibroblasts, C cells, T cells, B cells, and myeloid cells. Thyrocytes were the most prominent and heterogeneous cell type. Initially, two dominant thyrocyte subsets were identified based on transcriptional activity, which were subsequently subdivided into seven subclusters. Differentially expressed genes within each cluster support distinct cellular functions, including a metabolically active subset which may be involved in hormone synthesis and a subset involved in the transport of thyroid hormone into circulation. We identified an immune subpopulation originating predominantly from a single sample that was histologically and morphologically similar to the other two samples. This supports that transcriptional changes can be detected and used to identify populations of cells, even in the absence of histologically observable changes. This characterization represents the first comprehensive portraiture of pediatric thyroid gland cells and the first description of normal patient thyrocyte and stromal cell heterogeneity in the absence of adjacent malignancy.

Indexed as

Single-Cell AnalysisThyroid Epithelial CellsThyroid GlandChildFemaleGene Expression ProfilingHumansSingle-Cell Gene Expression AnalysisTranscription, GeneticbiogenesisheterogeneityhormonepediatricScRNA-seqthyrocytesthyroidtranscriptional

Identifiers

PMID41727685
PMCPMC12917210

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.