Project description:Analysis of gene expression patterns at single cell level of parental HMLER cells and HMLER-derived non-convertible clone C1 and convertible clone C2. Two conditions were used including independently cultured or cultured together in vitro.
Project description:In this study, we assess technical differences between commonly used single-cell RNA-Sequencing (scRNA-Seq) methods. We perform scRNA-seq on a homogenous population of mouse embryonic stem cells along with two kinds of control spike-in molecules to assess sensitivity and accuracy of these specific methods. In this dataset, we perform STRT-seq method on Fluidigm C1 system and generate single-cell libraries using Nextera XT kit. Please note the sample-data relationship format (SDRF) file for this submission contains only a high-level representation of all sample, library and run information, and not per cell. For meta-data at the level of individual cells, please refer to the supplementary file called single_cells_list.txt, which is included as part of this ArrayExpress submission.
Project description:To reveal distinct transcriptomes associated with spermatogonial stem cell renewal vs. initiation of differentiation, single-cell transcriptomes from Adult Human spermatogonia were subdivided into subpopulations based on the levels of ID4 mRNA (determined in this experiment). This correlates with distinct fates of corresponding mouse spermatogonia when assayed by transplantation, with ID4-EGFPbright cells highly enriched for SSCs, and ID4-EGFPdim cells enriched for progenitors. We used the Fluidigm C1 instrument to capture individual spermatogonia for SMART-Seq2 single-cell RNA-seq.
Project description:In this study, we assess technical differences between commonly used single-cell RNA-Sequencing (scRNA-Seq) methods. We perform scRNA-seq on a homogenous population of mouse embryonic stem cells along with two kinds of control spike-in molecules to assess sensitivity and accuracy of these specific methods. In this dataset, we perform SMARTer method on Fluidigm C1 system and generate single-cell libraries using Nextera XT kit
Project description:This study provides an assessment of the Fluidigm C1 platform for RNA sequencing of single mouse pancreatic islet cells. The system combines microfluidic technology and nanoliter-scale reactions. We sequenced 622 cells allowing identification of 341 islet cells with high-quality gene expression profiles. The cells clustered into populations of alpha-cells (5%), beta-cells (92%), delta-cells (1%) and PP-cells (2%). We identified cell-type specific transcription factors and pathways primarily involved in nutrient sensing and oxidation and cell signaling. Unexpectedly, 281 cells had to be removed from the analysis due to low viability (23%), low sequencing quality (13%) or contamination resulting in the detection of more than one islet hormone (64%). Collectively, we provide a resource for identification of high-quality gene expression datasets to help expand insights into genes and pathways characterizing islet cell types. We reveal limitations in the C1 Fluidigm cell capture process resulting in contaminated cells with altered gene expression patterns. This calls for caution when interpreting single-cell transcriptomics data using the C1 Fluidigm system. Single-cell RNA sequencing of mouse C57BL/6 pancreatic islet cells
Project description:To reveal distinct transcriptomes associated with spermatogonial stem cell renewal vs. initiation of differentiation, single-cell transcriptomes from Adult ID4-EGFP+ spermatogonia were subdivided into subpopulations that displayed distinct fates when assayed by transplantation, with ID4-EGFPbright cells highly enriched for SSCs, and ID4-EGFPdim cells enriched for progenitors. We used the Fluidigm C1 instrument to capture individual spermatogonia for SMART-Seq2 single-cell RNA-seq.
Project description:In this study, we assess technical differences between commonly used single-cell RNA-Sequencing (scRNA-Seq) methods. We perform scRNA-seq on a homogenous population of mouse embryonic stem cells along with two kinds of control spike-in molecules to assess sensitivity and accuracy of these specific methods. In this dataset, we perform Smart-Seq2 method on Fluidigm C1 system and generate single-cell libraries using Nextera XT kit
Project description:To reveal distinct transcriptomes associated with spermatogonial stem cell renewal vs. initiation of differentiation, single-cell transcriptomes from P6 ID4-EGFP+ spermatogonia were subdivided into subpopulations that displayed distinct fates when assayed by transplantation, with ID4-EGFPbright cells highly enriched for SSCs, and ID4-EGFPdim cells enriched for progenitors. We used the Fluidigm C1 instrument to capture individual spermatogonia for SMART-Seq2 single-cell RNA-seq.