bioRxivDevelopmental BiologyPreprint
Pubertal maturation and chemotherapy-associated disruption of the pediatric ovary revealed by multimodal single-cell profiling
Loren MéariD, Jasmin HassaniD, Matthew William Myers, Hosein ToosiiD, Ilmatar RoodaiD, Nina BoskoviciD, Filippa BertilssoniD, Feria HikmetiD, Anastasios E. DamdimopoulosiD, Rutger SchutteniD, Borbala KatonaiD, Marzie AbdolhamdiiD, Emmanouela Perisynaki, Katri KnuusiD, Karin PetterssoniD, Kiriaki PapaikonomouiD, Johan MalmrosiD, Petra Byström, Mikael SundiniD, Cecilia LangenskiöldiD, Hartmut VogtiD, G GiraudiD, Andres SalumetsiD, Marjut OtalaiD, Timo TuuriiD, , Pauliina DamdimopoulouiD
Abstract
Ovarian tissue cryopreservation enables fertility preservation in females undergoing gonadotoxic therapies, restoring fertility in adults. Although offered even before puberty, the childhood ovary and its vulnerability to therapy remain poorly characterized. Here, ovarian tissue from 16 patients undergoing fertility preservation (aged 1-16 years) and 11 adult controls (aged 22-32 years) was analyzed using single-cell RNA sequencing, spatial transcriptomics, and multiplex immunostaining. In chemotherapy-naive samples, 13 somatic cell populations underwent extracellular matrix remodeling, vascular, neural, and stromal maturation during puberty, whereas changes in germline related to chromatin remodeling. Spatial transcriptomics resolved 23 clusters across, revealing distinct tissue organization and follicular niche composition between children and adults. Chemotherapy exposure depleted perifollicular and vascular cells, suppressed intercellular signaling, and dysregulated over half of puberty-associated genes, converging on stress responses and extracellular matrix remodeling, with SEPTIN7 as a potential biomarker. These findings uncover critical developmental vulnerabilities of the pediatric ovary relevant to fertility preservation.
- organism: human
- assay: scRNA-seq
- assay: spatial transcriptomics
- assay: proteomics
- research focus: cell type annotation
- research focus: clustering
- research focus: differential expression
- approach: statistical model
- Citations
- 0
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