Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single cell RNA-seq of bioprinted human kidney organoid

ABSTRACT: Single cell RNA-seq of bioprinted human kidney organoid

PROVIDER: PRJNA577472 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR10276266_1.fastq.gz	Fastqsanger.gz
	SRR10276266_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 2 of 2

Similar Datasets

Single cell RNA-seq of bioprinted human kidney organoid

Project description:These files represent single cell RNA-Seq data generated on a 10x Chromium genomics platform from bioprinted iPSC-derived human kidney organoids differentiated according to our published protocol (Takasato et al., Nature Protocols 2016). The data contains >2000 cells that passed our QC. Data was used to confirm that bioprinted organoids contain a similar cellular composition as standard manually produced organoids - See https://www.biorxiv.org/content/10.1101/505396v1.

2020-09-01 | GSE138835 | GEO

Matrix directs trophoblast differentiation in a bioprinted organoid model of early placental development

Project description:Trophoblast organoids offer a unique opportunity to study mechanisms orchestrating placental growth and development during pregnancy. However, many organoid cultures rely on extracellular matrix reagents that are highly variable and unable to be tuned to reflect in vivo tissues. Here we describe the first bioprinted placental organoid model, generated using first trimester trophoblast cell line, ACH-3P, and a synthetic polyethylene glycol matrix. Bioprinted organoids were compared comprehensively to classic Matrigel-embedding using functional assays, immunofluorescence microscopy, transcriptomic and proteomic analyses. Organoids differentiated spontaneously from cytotrophoblasts into two major subtypes: extravillous trophoblasts (EVTs) and syncytiotrophoblasts (STBs), with bioprinted organoids driven towards EVT differentiation. Bioprinted organoids were exposed to inflammation and treated with aspirin or metformin to assess their effects on trophoblast organoid formation and viability. Further, we reversed the inside-out architecture of ACH-3P organoids by suspension culture. Organoid suspension caused STBs to form a syndecan-1+ outer layer on the periphery of organoids, reflecting placental tissue. Here, we present an alternative trophoblast organoid model with further tuning potential to reflect the placental microenvironment in physiological and pathological pregnancies.

2025-07-28 | PXD056796 | Pride

Comparison manual and two types of bioprinted kidney organoids by single cell RNA-seq

Project description:We compared kidney organoids generated manually ('Man') to those generated by bioprinting single cell deposition ('R0') and thin bioprinted lines ('R40').

2020-09-01 | GSE152014 | GEO

Comparative analysis of kidney organoid and adult human kidney single cell and single nucleus transcriptomes

Project description:We analyzed single cell transcriptomes over 80,000 cells isolated from 65 organoids differentiated from iPSCs and ESCs using two different protocols. We find that both protocols generate kidney organoids that contain a diverse range of kidney cells at differing ratios as well as non-renal cell types. We reconstructed lineage relationships during organoid differentiation through pseudotemporal ordering, and identified transcription factor networks associated with fate decisions. When comparing to adult human kidney, we reveal immaturity of all kidney organoid cell types. These results define impressive kidney organoid cell diversity, identify incomplete differentiation as a major roadblock for current directed differentiation protocols and provide a human adult kidney snRNA-seq dataset against which to benchmark future progress.

2018-10-13 | GSE118184 | GEO

Matrix directs trophoblast differentiation in a bioprinted organoid model of early placental development

Project description:Trophoblast organoids can provide crucial insights into mechanisms of placentation, however their potential is limited by highly variable extracellular matrices unable to reflect in vivo tissues. Here, we present a bioprinted placental organoid model, generated using the first trimester trophoblast cell line, ACH-3P, and a synthetic polyethylene glycol (PEG) matrix. Bioprinted or Matrigel-embedded organoids differentiate spontaneously from cytotrophoblasts into two major subtypes: extravillous trophoblasts (EVTs) and syncytiotrophoblasts (STBs). Bioprinted organoids are driven towards EVT differentiation and show close similarity with early human placenta or primary trophoblast organoids. Inflammation inhibits proliferation and STBs within bioprinted organoids, which aspirin or metformin (0.5 mM) cannot rescue. We reverse the inside-out architecture of ACH-3P organoids by suspension culture with STBs forming on the outer layer of organoids, reflecting placental tissue. Our bioprinted methodology is applicable to trophoblast stem cells. We present a high-throughput, automated, and tuneable trophoblast organoid model that reproducibly mimics the placental microenvironment in health and disease.

2025-07-28 | GSE279994 | GEO

Comparative analysis of kidney organoid and adult human kidney single cell and single nucleus transcriptomes

Project description:Comparative analysis of kidney organoid and adult human kidney single cell and single nucleus transcriptomes

| PRJNA484783 | ENA

Comparison of bioprinted kidney organoids in different conformations

Project description:Bulk RNA-seq comparison of kidney organoids bioprinted in 3 different conformations with varying starting cell densities. Density is dictated by the ratio of bioprinter tip movement to the amount of extrusion, where higher ratios spread cells over a larger surface area. We compare organoids printed with no movement ('blob', ratio 0) to those with moderate ('line 3', ratio 20) or high movement ('line 1', ratio 40).

2020-09-01 | GSE138733 | GEO

Timecourse RNA-seq of kidney organoid development in control and WT1-knockout iPSCs

Project description:Absence of WT1 during kidney organoid development from human induced pluripotent stem cells (iPSCs) induces hallmarks of Wilms tumorigenesis. To define underlying transcriptional alterations and similarities to human patients, we performed timecourse RNA-seq of kidney organoid development from control iPSCs (control, not edited) and in the absence of WT1. Two timepoints for knockout (KO) of WT1 were investigated: In iPSCs (KO in iPSCs), and between day 4 and day 7 of organoid formation (KO d4-7).

2021-08-01 | E-MTAB-9957 | biostudies-arrayexpress

Comparison of bioprinted kidney organoids in different conformations

Project description:Comparison of bioprinted kidney organoids in different conformations

| PRJNA576921 | ENA

Kidney organoid reproducibility across multiple human iPSC lines and diminished off target cells after transplantation revealed by single cell transcriptomics

Project description:Human iPSC-derived kidney organoids have the potential to revolutionize discovery, but assessing their consistency and reproducibility across iPSC lines, and reducing the generation of off-target cells remain an open challenge. Here, we used single cell RNA-Seq (scRNA-Seq) to profile 450,118 cells to show that organoid composition and development are comparable to human fetal and adult kidneys. Although cell classes were largely reproducible across iPSC lines, time points, protocols, and replicates, cell proportions were variable between different iPSC lines. Off-target cell proportions were the most variable. Prolonged in vitro culture did not alter cell types, but organoid transplantation under the mouse kidney capsule diminished off-target cells. Our work shows how scRNA-seq can help score organoids for reproducibility, faithfulness and quality, that kidney organoids derived from different iPSC lines are comparable surrogates for human kidney, and that transplantation enhances their formation by diminishing off-target cells.

2019-11-04 | GSE136314 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data