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:Single-cell RNA-seq (10X Genomics Chromium) to profile of cardiac progenitor cells, comparing the transcriptomes of freshly isolated and cultured cardiac progenitor cells
Project description:T cell receptor (TCR) signaling in Jurkat cells was investigated using the CROP-seq method for CRISPR single-cell sequencing. In CROP-seq, genetic perturbations are introduced into single cells in a pooled fashion, and single-cell RNA-seq is used to determine the transcriptional response to the CRISPR-induced perturbation in a large number of single cells in parallel. Importantly, the CROP-seq vector makes individual guide-RNAs detectable using standard single-cell RNA-seq technology. The dataset presented here is based on CROP-seq in combination with single-cell RNA-seq using the 10x Genomics v2 chemistry. It recapitulates a previously published CROP-seq dataset (Datlinger et al. 2017 Nature Methods; GEO: GSE92872) that used the Drop-seq protocol as the single-cell RNA-seq readout. Additional information on CROP-seq are available from the following website: http://crop-seq.computational-epigenetics.org/ .