Project description:The ovary is perhaps the most dynamic organ in the human body, only rivaled by the uterus. The molecular mechanisms that regulate follicular growth and regression, ensuring ovarian tissue homeostasis, remain elusive. We have performed single-cell RNA-sequencing using human adult ovaries to provide a map of the molecular signature of growing and regressing follicular populations. We have identified different types of granulosa and theca cells and detected local production of components of the complement system by (atretic) theca cells and stromal cells. We also have detected a mixture of adaptive and innate immune cells, as well as several types of endothelial and smooth muscle cells to aid the remodeling process. Our results highlight the relevance of mapping whole adult organs at the single-cell level and reflect ongoing efforts to map the human body. The association between complement system and follicular remodeling may provide key insights in reproductive biology and (in)fertility.
Project description:To reveal distinct transcriptome changes among ID4-EGFP-bright adult mouse spermatogonia associated with mTORC1 activity, single-cell transcriptomes were generated from GFP-bright/CD9-bright spermatogonia from adult mice in three groups: control (untreated), 2 days of Rapamycin treatment (Rapamycin) and 2 days Rapamycin plus 1 day washout (Rapamycin_Release). Based on transplantation studies performed previously, ID4-EGFPbright cells are highly enriched for SSCs. We used the 10x Genomics Chromium to perform single-cell RNA-seq.
Project description:To reveal distinct transcriptomes associated with various spermatogenic cells, including spermatogonial stem cells and all of their subsequent progeny, single-cell transcriptomes from Adult human spermatogonia, StaPut-enriched spermatocytes and spermatids, or unselected steady-state spermatogenic cells were used for Drop-Seq analysis. We used the 10x Genomics Chromium (Drop-Seq) to perform single-cell RNA-seq
Project description:Targeted spatial transcriptomic profiling was performed on seven formalin-fixed paraffin-embedded pleural mesothelioma tumor samples from four cases using the 10x Genomics Xenium platform. The Xenium Human Immuno-Oncology panel supplemented with 100 additional custom genes selected from known pleural mesothelioma biomarkers and single-cell RNA-seq-derived marker genes was used. Raw and processed Xenium files are provided for each sample. To ensure data integrity with downloaded Xenium files, md5 checksums are provided in 'Xenium_GEO.md5'. This dataset is part of a multi-modality study including matched scRNA-seq, bulk RNA-seq, and Xenium spatial transcriptomics generated from overlapping pleural mesothelioma samples. Related controlled-access sequencing data are available in dbGaP under accession phs004285.