Integrated single-nuclei and spatial transcriptomic profiling of human sacrococcygeal teratomas reveals heterogeneity in cellular composition and X-chromosome inactivation
Rojas, E. J.; Giannikou, K.; Huang, B. J.; Cho, S.-J.; Cordero, M.; Pena, D.; Vu, L.; Bagrodia, A.; Derderian, S. C.; MacKenzie, T. C.; Laird, D. J.
Show abstract
Sacrococcygeal teratomas (SCTs) are the most common neonatal tumors, yet their cellular origins, clinical stratification, and sex bias-occurring three times more in XX than XY individuals--remain poorly understood. To address these gaps, we examined six postnatal (one male and five female) and two prenatal (both female) SCTs by single nuclei RNA-seq and spatial transcriptomics. We identified five broad cellular lineages in SCTs: stroma, epithelia, endothelia, neuroectoderm, and immune. The transcriptomes and lineage compositions showed significant heterogeneity, which offer a framework for future molecular stratification. SCTs are thought to originate from and be propagated by pluripotent cells, notably however, we did not detect these populations. Among female tumors, a subset of cells exhibited biallelic expression of X-linked genes, consistent with X-inactivation failure or reactivation of the once inactivated X-chromosome. These biallelic cells were enriched for developmental and neuronal programs, whereas cells with single-allelic X-chromosome preferentially expressed immune-related genes. Biallelic X-chromosome activation, which can occur only in female cells, may result in transcriptomic features that favor survival of tumor cells, contributing to the sex bias of SCTs. Our findings reveal a link between X-chromosome inactivation and SCT cell identity, suggesting that X-dosage dysregulation may influence SCT heterogeneity and immune landscape.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A human neural crest model reveals the developmental impact of neuroblastoma-associated chromosomal aberrations 97%
- Detection of isoforms and genomic alterations by high-throughput full-length single-cell RNA sequencing in ovarian cancer 97%
- Single-cell multi-omic analysis of the vestibular schwannoma ecosystem uncovers a nerve injury-like state 96%
Similar papers in this journal
- Population-scale single-cell RNA-seq profiling across dopaminergic neuron differentiation 96%
- MLL3/MLL4 methyltransferase activities control early embryonic development and embryonic stem cell differentiation in a lineage-selective manner 96%
- Comprehensive multiomic profiling of somatic mutations in malformations of cortical development 96%
Similar papers in this journal
- Defining the cellular origin of seminoma by transcriptional and epigenetic mapping to the normal human germline 98%
- Interrogation of cancer gene dependencies reveals novel paralog interactions of autosome and sexchromosome encoded genes 96%
- RNA Splicing Junction Landscape Reveals Abundant Tumor-Specific Transcripts in Human Cancer 96%
Similar papers in this journal
- L1 retrotransposons drive human neuronal transcriptome complexity and functional diversification 96%
- Integrated single-cell transcriptomic and epigenetic analyses of cell-state transition and lineage commitment in the embryonic mouse cerebellum 96%
- Multiscale 3D Genome Reorganization during Skeletal Muscle Stem Cell Lineage Progression and Muscle Aging 95%
Similar papers in this journal
- Multimodal Spatial Profiling Reveals Immune Suppression and Microenvironment Remodeling in Fallopian Tube Precursors to High-Grade Serous Ovarian Carcinoma 96%
- Single cell view of tumor microenvironment gradients in pleural mesothelioma 95%
- Generation of a biliary tract cancer cell line atlas reveals molecular subtypes and therapeutic targets 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.