Single cell RNA-seq of iPSC-derived Kidney Organoids treated with TGF-Beta 1 and GSK343 compared with vehicle treated control
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ABSTRACT: This study used scRNA-seq to characterise the transcriptome in 26 day-old iPSC-derived kidney organoids, treated with TGFB1, the EzH2 inhibitor GSK343, a combination of both or a vehicle control for 48 hours (days 24-26) before harvesting. 2 organoids per condition were pooled and dissociated using a cold-active protease. Nuclei were extracted and profiled using the 10X Genomics Single-cell 3' V3 kits. Libraries were sequenced using paired-end reads on an Illumina NextSeq 500. Initial processing was performed using CellRanger v3.1.0 (10X Genomics).
Project description:This study used snATAC-seq to profile Chromatin accessibility in 26 day-old iPSC-derived kidney organoids, treated with TGFB1, the EzH2 inhibitor GSK343, a combination of both or a vehicle control for 48 hours (days 24-26) before harvesting. 2 organoids per condition were pooled and dissociated using a cold-active protease. Nuclei were extracted and profiled using the 10X Genomics Single-cell ATAC reagent kit v1.1. Libraries were sequenced using paired-end reads on an Illumina NovaSeq 6000. Initial processing was performed using CellRanger ATAC v1.2.0 (10X Genomics).
Project description:scRNA-seq was used to characterise hiPSC-derived kidney organoids differentiated within fully synthetic self-assembling peptide hydrogels of variable mechanical strengths and compare these to organoids differentiated within the animal-derived matrix, Matrigel. Organoids were matured in the respective matrices until day 24 of differentiation and 6 organoids per support matrix were then pooled and dissociated using the cold-active protease from Bacillus licheniformis. Cells were processed on the 10x Genomics Chromium platform using the Single-Cell 3’ v3.1 protocol. The NextSeq500 (Illumina) was used to sequence the libraries generated and initial processing of the data was carried out using the 10X Genomic Cell Ranger v3.1.0 pipeline.
Project description:Mex3a is an RNA binding protein of unknown function. To elucidate the contribution of Mex3a to tumoral heterogeneity, Mex3a KO organoids engineered by CRISPR were sequenced in three different conditions. Live organoids (DAPI negative) were sorted in Control, after 2 days of FOLFIRI and after 5 days of treatment. Two WT organoids (parental and a derived clone) and two KO (KO1 and KO2, two independent clones) were used for this experiment.
Project description:The goal of the experiment is to determine whether it is feasible to use the 10x Genomics Gene Expression Flex solution in samples containing a mixture of human and mouse cells. First we tested how the presence of mouse cells impacted the data recovered by the use of the human whole trasnscriptome amplification (WTA) probe sets. Then we profiled a mixed species sample by using human and mouse probe sets in the same reaction. Finally, for samples with lower amounts of human cells we tried to correct the amount of cells recovered by the human and mouse probe sets by adjusting the amount of cells loaded from the respective hybridizations.
Project description:The goal of the experiment is determine whether the mixing of human and mouse probe sets of the 10x Genomics Gene Expression Flex allows to profile cell line derived xenograft (CDX) samples. We profiled a CDX vehicle sample and a CDX sample after 10 days of treatment with Osimertinib at 25mg/kg.
Project description:The aim of the experiment is to elucidate changes in tumor heterogeneity upon chemotherapy treatment. The experiment includes non-treated samples, samples right after chemotherapy treatment (FOLFIRI) and organoids recovered from FOLFIRI. It was conducted in two different genetic backgrounds, AKP (Apc KO, KrasG12D and P53 KO) and APS (Apc KO, P53 and Smad4KO). In addition to that, the organoids carry an inducible Cre-ERT2 knock-in allele in the mex3a locus. Upon 4-OH-Tamoxifen induction, Mex3a cells will recombine the tracing allele stop-TdTomato, enabling the tracing of this subpopulation. To understand the fate of the traced cells, samples right after chemotherapy and in the recovery setting were sorted based on their tomato expression. This enables a single cell tracing experiment.
Project description:To further explore the transcriptional changes in the kidney transplant biopsy at time of rejection, scRNAseq analysis was performed on 16 kidney transplant biopsy-derived cells using 10X Genomic technology.
Project description:This resource comprises a single-cell multi-lineage map of first trimester infected placental cells. We have included data from both uninfected cells and cells infected with three pathogens known to cause maternal and fetal disorders: Plasmodium falciparum, Listeria monocytogenes, and Toxoplasma gondii. We also generated single-nuclei map of infected trophoblasts and their corresponding controls. Furthermore, we created a single-nuclei reference dataset containing information from uninfected primary placental organoids as well as organoids infected with P. falciparum. Additionally, we conducted sequencing at a single-cell level for P. falciparum parasites that were bound to the placenta (pf_b), parasites unbound to the placenta (pf_nb), and parasites that were cultured in vitro (pf_iv).
Project description:To study how methanol fixation affects single-cell transcriptomic measurement, two cerebral organoids were dissociated. Cell suspension of each organoid was split into two aliquots. Methanol fixation was applied to one of the two aliquots. Single-cell RNA-seq with 10x Genomics was applied to the two aliquots separately.
Project description:The human brain has changed dramatically from other primate species, but the genetic and developmental mechanisms behind the differences remains unclear. Here we used single cell RNA sequencing based on 10X technology to explore temporal transcriptomic dynamics and cellular heterogeneity in cerebral organoids derived from human and non-human primates chimpanzee and rhesus macaque stem cells. Using cerebral organoids as a proxy of early brain development, we detect a delayed pace of human brain development relative to the other two primate species. Additional human-specific gene expression patterns resolved to different cell states through progenitors to neurons are also found. Our data provide a transcriptomic cell atlas of primate early brain development, and illustrate features that are unique to humans.