Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

3D ECM-rich environment sustains the identity of naïve human iPSCs II

ABSTRACT: The establishment of in vitro naïve human pluripotent stem cell cultures opened new perspectives for the study of early events in human development. The role of several transcription factors and signaling pathways during maintenance of human naïve pluripotency has been characterized. However, little is known about the role exerted by the extracellular matrix and its three-dimensional organization. Here, using an unbiased and integrated approach combining transcriptional, proteomic and secretome analyses, we found that naïve, but not primed, hiPSC colonies are characterized by a self-organized extracellular matrix (ECM)-rich microenvironment. Based on this, we developed a 3D culture system that supports robust long-term feeder-free self-renewal of naïve hiPSCs, and also allows direct and timely developmental morphogenesis simply by modulating the signalling environment. Our study opens new perspectives for future applications of naïve hiPSCs to study critical stages of human development in 3D starting from a single cell

ORGANISM(S): Homo sapiens

PROVIDER: GSE196050 | GEO | 2022/10/01

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

3D ECM-rich environment sustains the identity of naïve human iPSCs [Naive_3Dvs2D_p6]

Project description:The establishment of in vitro naïve human pluripotent stem cell cultures opened new perspectives for the study of early events in human development. The role of several transcription factors and signaling pathways during maintenance of human naïve pluripotency has been characterized. However, little is known about the role exerted by the extracellular matrix and its three-dimensional organization. Here, using an unbiased and integrated approach combining transcriptional, proteomic and secretome analyses, we found that naïve, but not primed, hiPSC colonies are characterized by a self-organized extracellular matrix (ECM)-rich microenvironment. Based on this, we developed a 3D culture system that supports robust long-term feeder-free self-renewal of naïve hiPSCs, and also allows direct and timely developmental morphogenesis simply by modulating the signalling environment. Our study opens new perspectives for future applications of naïve hiPSCs to study critical stages of human development in 3D starting from a single cell

2022-10-01 | GSE196157 | GEO

3D ECM-rich environment sustains the identity of naïve human iPSCs

Project description:The establishment of in vitro naïve human pluripotent stem cell cultures opened new perspectives for the study of early events in human development. The role of several transcription factors and signalling pathways during maintenance of human naïve pluripotency have been characterized. However, little is known about the role exerted by the extracellular matrix (ECM) and its three-dimensional (3D) organization. Here, using an unbiased and integrated approach combining transcriptional, proteomic and secretome analyses, we found that naïve, but not primed, hiPSC colonies are characterized by a self-organized ECM-rich microenvironment. Based on this, we developed a 3D culture system that supports robust long-term feeder-free self-renewal of naïve hiPSCs, and also allows direct and timely developmental morphogenesis simply by modulating the signalling environment. Our study opens new perspectives for future applications of naïve hiPSCs to study critical stages of human development in 3D starting from a single cell.

2023-02-20 | GSE213024 | GEO

3D ECM-rich environment sustains the identity of naïve human iPSCs

Project description:The establishment of in vitro naïve human pluripotent stem cell cultures opened new perspectives for the study of early events in human development. In the last 5 years the signalling environment promoting human naïve pluripotency has been extensively investigated. However, little is known about the role exerted by the extracellular matrix and three-dimensional organization in naïve maintenance. Here, by using an unbiased and integrated approach we found that naïve, but not primed, hiPSC colonies are characterized by an extracellular matrix-rich microenvironment, and by a specific extracellular matrix fingerprint at transcriptional, proteomic and secretome levels. Based on this, we developed a 3D culture system which supports robust long-term feeder-free expansion of naïve hiPSCs. In this same 3D ECM-rich environment, we can recapitulate timely developmental morphogenesis simply by modulating the signalling environment. Our study opens new perspectives for future applications of naïve hiPSCs to study critical stages of human development in three-dimensions starting from a single cell.

2021-11-11 | GSE161371 | GEO

3D ECM-rich environment sustains the identity of naïve human iPSCs [Bulk RNA-seq in triplicate after 1, 4, and 7 days of culture]

2021-11-11 | GSE161717 | GEO

‘Naïve’ ESRRB+ iPSCs with the capacity for rapid neural differentiation

Project description:Several groups have reported the existence of a form of pluripotency that resembles that of mouse embryonic stem cells (mESCs), i.e., a naïve state, in human pluripotent stem cells; however, the characteristics vary between reports. The nuclear receptor ESRRB is expressed in mESCs and plays a significant role in their self-renewal, but its expression has not been observed in most naïve-like human induced pluripotent stem cells (hiPSCs). In this study, we modified several methods for converting hiPSCs into a naïve state through the transgenic expression of several reprogramming factors. The resulting cells express the components of the core transcriptional network of mESCs, including ESRRB, at high levels, which suggests the existence of naïve-state hiPSCs that are similar to mESCs. We also demonstrate that these cells differentiate more readily into neural cells than do conventional hiPSCs. These features may be beneficial for their use in disease modeling and regenerative medicine.

2017-11-20 | GSE104583 | GEO

ECM-dependent gene expression in normal and tumor-derived mammary organoids

Project description:A critical step in metastasis is cancer cell dissemination. Dissemination and metastasis are associated with specific genetic changes and changes in extracellular matrix (ECM), but how these changes interact to enable dissemination remains unclear. Here we tested the importance of ECM to dissemination in both normal and malignant mammary epithelium. By time-lapse imaging, we observed collective invasion and dissemination directly in 3D culture. Our results reveal that the pattern of epithelial migration and local dissemination are constrained by the local ECM microenvironment. To identify RNA expression changes that could regulate these changes in cell behavior, we conducted whole genome RNA expression profiling from normal and malignant mammary epithelium in 3D culture. We collected RNA from normal and malignant epithelium during active growth at 4 days in culture in either Matrigel or collagen I. We hybridized the resulting RNA to Agilent single color microarrays with a minimum of three biologically independent microarray replicates per condition. We observed significant gene expression differences between normal and malignant epithelium, even when cultured in the same ECM. In contrast, the ECM microenvironment had a relatively small impact on RNA expression, despite its large effects on migratory strategy and local dissemination. Gene expression was measured in normal and malignant mammary epithelial fragments cultured in one of two 3D matrices (laminin-rich basement membrane gel or collagen I) and collected at day 4, which we observed to have peak invasion and dissemination. At least three independent experiments were performed at each time using different mice for each experiment.

2012-08-16 | E-GEOD-39173 | biostudies-arrayexpress

3D ECM-rich environment sustains the identity of naïve human iPSCs

Project description:3D ECM-rich environment sustains the identity of naïve human iPSCs

| PRJNA677974 | ENA

3D ECM-rich environment sustains the identity of naïve human iPSCs

Project description:3D ECM-rich environment sustains the identity of naïve human iPSCs

| PRJNA878795 | ENA

Benchmark datasets for 3D MALDI- and DESI-Imaging Mass Spectrometry

Project description:Three-dimensional imaging mass spectrometry (3D imaging MS) is a technique of analytical chemistry for 3D molecular analysis of a tissue specimen, entire organ, or microbial colonies on an agar plate. 3D imaging MS has unique advantages over existing 3D imaging techniques, offers novel perspectives for understanding the spatial organization of biological processes, and has growing potential to be introduced into routine use in both biology and medicine. Due to the sheer quantity of data generated, visualization, analysis, and interpretation of 3D imaging MS data remain a significant challenge. Bioinformatics research in this field is hampered by the lack of publicly available benchmark datasets needed for evaluation and comparison of algorithms. Findings We acquired high-quality 3D imaging MS datasets from different biological systems at several labs, supplied them with overview images and scripts demonstrating how to read them, and deposited them into MetaboLights, an open repository for metabolomics data. 3D imaging MS data was collected from five samples using two types of 3D imaging MS. 3D Matrix-Assisted Laser Desorption/Ionization (MALDI) imaging MS data was collected from murine pancreas, murine kidney, human oral squamous cell carcinoma, and interacting microbial colonies cultured in Petri dishes. 3D Desorption Electrospray Ionization (DESI) imaging MS data was collected from a human colorectal adenocarcinoma. Conclusions With the aim to stimulate computational research in the field of computational 3D imaging MS, we provided selected high-quality 3D imaging MS datasets which can be used by algorithm developers as benchmark datasets.

2016-07-27 | MTBLS176 | MetaboLights

Outer ECM-attached vs. inner cells of MCF10A acini at day 6 of morphogenesis

Project description:Basal-like carcinoma is a subtype of breast cancer that is characterized by poor prognosis and high intratumor heterogeneity. Using a basal-like breast epithelial line, we have identified two anti-correlated gene-expression programs that arise among single extracellular matrix (ECM)-attached cells during organotypic 3D culture. The first program contains TGFBR3, a high-affinity receptor for transforming growth factor β (TGFβ) and other related ligands. The second program contains the JUND transcription factor together with the basal-like marker, KRT5. By disrupting the TGFBR3 and JUND programs individually, we reveal an important circuit for 3D morphogenesis that is wired together by four negative-feedback loops. Computational modeling of this circuit showed that it could exhibit damped, antiphase oscillations when excited with small impulses of TGFβ-like ligand. We directly visualize the circuit's spontaneous dynamics in organotypic cultures by using live-cell imaging with engineered pathway reporters. Importantly, we show that the essence of the JUND-TGFBR3 expression circuit holds true in early basal-like tumors that heterogeneously express KRT5. Correlated JUND-KRT5 expression depends critically on contact with stromal ECM and local expression of tenascin C. This work illustrates how complex tumor heterogeneities can be deconstructed into intrinsic single-cell expression circuits that are modulated by the microenvironment. Gene expression analysis of outer ECM-attached vs. inner cells of MCF10A-5E clones grown in organotypic 3D culture at day 6. Total RNA was isolated from ~50 outer ECM-attached cells and ~50 inner cells, each separately microdissected from 8 micron sections of MCF10A structures at day 6 of morphogenesis. Total RNA was amplified in quadruplicate, and hybridized to HumanRef-8 v2.0 Expression BeadChips (Illumina).

2015-06-05 | E-GEOD-41527 | biostudies-arrayexpress

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