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RNA-SEQ analysis of single cells extracted from E12.5 embryonic kidneys.

ABSTRACT: We used micro-dissection and trypsinization techniques to isolate single cells from the Embryonic day 12.5 (E12.5) total kidney. A subset of these single cell populations is analysed individually via Fluidigm single cell analysis. This analysis will determine the transcriptional profile of each cell type, identify compartment specific transcripts, compartment specific transcript isoforms and cell-type specific long-noncoding RNAs. In addition the unbiased nature of RNA-SEQ will potentially identify novel transcripts that have not been annotated in the database.

ORGANISM(S): Mus musculus

PROVIDER: GSE59127 | GEO | 2014/08/01

SECONDARY ACCESSION(S): PRJNA254486

REPOSITORIES: GEO

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RNA-SEQ analysis of single cells extracted from E12.5 embryonic kidneys.

Project description:We used micro-dissection and trypsinization techniques to isolate single cells from the E12.5 total kidney. A subset of these single cell populations is analysed individually via Fluidigm single cell analysis. This analysis will determine the transcriptional profile of each cell type, identify compartment specific transcripts, compartment specific transcript isoforms and cell-type specific long-noncoding RNAs. In addition the unbiased nature of RNA-SEQ will potentially identify novel transcripts that have not been annotated in the database. E12.5 kidneys are dissected; the kidneys are made into a single cell suspension via trypsinization. A subset of these cells is analysed individually via Fluidigm C1 single cell analysis. The long term goal is to generate a single cell resolution transcriptional atlas of the developing kidney.

2014-08-01 | E-GEOD-59127 | biostudies-arrayexpress

RNA-SEQ analysis of single cells extracted from the metanephric mesenchyme of Embryonic day 11.5 (E11.5) Crym-EGFP transgenic mice.

Project description:We used micro-dissection with FACS sorting techniques to isolate single cells from the metanephric mesenchyme of the E11.5 developing kidney. A subset of these single cell populations is analysed individually via Fluidigm single cell analysis. This analysis will determine the transcriptional profile of each cell type, identify compartment specific transcripts, compartment specific transcript isoforms and cell-type specific long-noncoding RNAs. In addition the unbiased nature of RNA-SEQ will potentially identify novel transcripts that have not been annotated in the database. Kidneys are harvested from Tg(Crym-EGFP)GF82Gsat mice. Single cells are extracted from E11.5 metanephric mesenchyme using manual micro-dissection techniques. A subset of these cells is analyzed individually via Fluidigm single cell analysis. The long term goal is to generate a transcriptional atlas of the developing kidney.

2014-08-01 | E-GEOD-59129 | biostudies-arrayexpress

RNA-SEQ analysis of single cells extracted from the renal vesicles of Crym-EGFP transgenic post natal day 4 (P4) mice.

Project description:We used micro-dissection with FACS sorting techniques to isolate renal vesicle single cell types from post natal (P4) kidneys. A subset of these single cell populations is analysed individually via Fluidigm single cell analysis. This analysis will determine the transcriptional profile of each cell type, identify compartment specific transcripts, compartment specific transcript isoforms and cell-type specific long-noncoding RNAs. In addition the unbiased nature of RNA-SEQ will potentially identify novel transcripts that have not been annotated in the database. Kidneys are harvested from Tg(Crym-EGFP)GF82Gsat mice. Single cells are extracted from P4 renal vesicles using micro-dissection with FACS sorting techniques. A subset of these cells is analyzed individually via Fluidigm single cell analysis. The long term goal is to generate a transcriptional atlas of the developing kidney.

2014-08-01 | E-GEOD-59130 | biostudies-arrayexpress

RNA-SEQ analysis of single cells extracted from the renal vesicles of P4 Crym-EGFP transgenic mice

Project description:We used micro-dissection with FACS sorting techniques to isolate renal vesicle single cell types from post natal day (P4) kidneys. A subset of these single cell populations is analysed individually via Fluidigm single cell analysis. This analysis will determine the transcriptional profile of each cell type, identify compartment specific transcripts, compartment specific transcript isoforms and cell-type specific long-noncoding RNAs. In addition the unbiased nature of RNA-SEQ will potentially identify novel transcripts that have not been annotated in the database.

2014-08-01 | GSE59130 | GEO

RNA-SEQ analysis of single cells extracted from the metanephric mesenchyme of E11.5 Crym-EGFP transgenic mice

Project description:We used micro-dissection with FACS sorting techniques to isolate single cells from the metanephric mesenchyme of the Embryonic day 11.5 (E11.5) developing kidney. A subset of these single cell populations is analysed individually via Fluidigm single cell analysis. This analysis will determine the transcriptional profile of each cell type, identify compartment specific transcripts, compartment specific transcript isoforms and cell-type specific long-noncoding RNAs. In addition the unbiased nature of RNA-SEQ will potentially identify novel transcripts that have not been annotated in the database.

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Cadaveric vs. live donor kidneys

Project description:Recipients of live donor transplant kidneys (LIV) exhibit a significantly longer allograft half-life compared with cadaveric donor organs (CADs). The reasons are incompletely understood. Therefore this study sought to elucidate the genome-wide gene expression profiles in microdissected transplant kidney biopsies obtained from five cadaveric and five matched live donors before transplantation. cDNA microarrays were used to determine the transcripts in isolated glomeruli (G) and the tubulointerstitial (TI) compartment. Data were subjected to hierarchical clustering, maxT adjustment and a jackknife procedure to ensure robustness of reported findings; validation was performed by independent analysis of split biopsies and TaqMan-PCR. One hundred and thirteen sequences representing 62 unique genes (17 redundant features), and 34 ESTs separated G from TI. No difference in gene expression was found in G between LIV and CAD kidneys, but nine genes (two represented twice) and three ESTs were abundantly expressed in the CAD TI compared with LIV. The main biological function of these genes is counter regulation of oxidative stress. Promoter analysis of significant features suggested coregulated gene groups. These data suggest that CAD kidneys exhibit a distinctly different set of transcripts in the TI compartment but not in the G compartment when compared with LIV kidneys. An all pairs experiment design type is where all labeled extracts are compared to every other labeled extract. Computed

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Single cell RNA-seq on kidneys of mice with inactivated hepatocellular Mdm2.

Project description:In our study we aimed to characterise the effects of p53-induced liver senescence on murine kidneys. We induced liver senescence in 8-12 weeks old male mice by compromising hepatocellular Mdm2 functionality through systemic administration of the AAV8-TBG-Cre viral vector (ΔMdm2Hep mice). We observed transmision of the senescent phenotype from the senescent liver to the genetically unmanipulated kidney. To further elucidate the mechanisms that mediate this transmission phenotype and to characterise its effects on the kidney, we performed single-cell RNA sequencing (scRNA-seq) on the kidneys of 3 ΔMdm2Hep and 3 control mice. We observed the upregulation of several signalling pathways in specific renal cell compartments (e.g. TGFβ in the tubular compartment and JAK-STAT in the mesenchymal compartment). Our results show that liver senescence has a different effect on the renal transcriptome depending on the cellular compartment.

2022-02-01 | GSE189726 | GEO

Cadaveric vs. live donor kidneys

2006-01-12 | GSE4018 | GEO

Single-cell polyadenylation sequencing (scPolyA-seq) reveals the dynamic of polyA site usage during cell cycles in tumor cell lines [C1]

Project description:Alternative polyadenylation (APA) plays an important role in post-transcriptional gene regulation. But how genes' APA usages are influenced by cell cycle remains largely unknown. Here we developed single cell polyadenylation sequencing (scPolyA-seq), a strand-specific approach for sequencing 3’ end of transcripts which can get very deep sequencing level around polyA site for each cell, to investigate the landscape of APA at single cell level, based on Fluidigm C1. We compared APA changes before and after thymidine double blocking (TdR) synchronization of HeLa cells. We then identify 6 gene clusters whose distal polyA site usages fluctuate during cell cycle.

2021-06-16 | GSE178264 | GEO

Use of the Fluidigm C1 platform for RNA sequencing of single mouse pancreatic islet cells

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

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