Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Effect of HSV1 and hAdV8 infection in human conjunctiva air-liquid interface cultures

ABSTRACT: We sought to identify the effect of HSV1 or hAdV8 infection in human conjunctival epithelium.

ORGANISM(S): Homo sapiens

PROVIDER: GSE205925 | GEO | 2024/01/11

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Effect of HSV1 and hAdV8 infection in human conjunctiva air-liquid interface cultures

Project description:Effect of HSV1 and hAdV8 infection in human conjunctiva air-liquid interface cultures

| PRJNA848380 | ENA

Single-cell characterization of human conjunctiva tissue, organoids and air-liquid interface cultures (10X)

Project description:We mapped the cell types present in human conjunctiva tissue, organoids and air-liquid interface cultures exposed or not to IL4/13.

2024-01-11 | GSE242382 | GEO

Air Liquid Interface Model of Gastric Mucosa and H.pylori Infection

Project description:The Air Liquid Interface Model of Gastric Mucosa allows to provide a fully polarized epithelium accessible to infection experiments with H.pylori. The influence of several factors on immune response has been studied.

2018-02-15 | GSE94032 | GEO

Gene expression profile at single cell level of murine air liquid interface cultures

Project description:Alveolar type 2 (AT2) and club cells are part of the stem cell niche of the lung and their differentiation is required for pulmonary homeostasis and tissue regeneration. A disturbed crosstalk between fibroblasts and epithelial cells contributes to the loss of lung structure in chronic lung diseases. We used single cell RNA sequencing to analyze the interaction of fibroblasts and the alveolar epithelium modelled in air-liquid interface cultures.

2023-10-02 | GSE244333 | GEO

Comparative gene expression in the human conjunctiva and cornea

Project description:The identification of a marker that is expressed in the conjunctival epithelium but not in the corneal epithelium has been a growing need. A more specific marker of limbal and conjunctival epithelia would be necessary to detect non-corneal epithelial cells on the corneal surface. To search for conjunctival specific marker(s), we first performed preferential gene profiling in the conjunctiva in direct comparison to that in the cornea using microarray technique.

2011-06-09 | GSE29402 | GEO

Comparative gene expression in the human conjunctiva and cornea

2011-06-09 | E-GEOD-29402 | biostudies-arrayexpress

SARS-CoV-2-infected human nasal epithelial air-liquid interface cultures

Project description:Continuous assessment of the impact of SARS-CoV-2 on the host at the cell-type level is crucial for understanding key mechanisms involved in host defense responses to viral infection. We investigated host response to ancestral-strain and Alpha-variant SARS-CoV-2 infections within air-liquid-interface human nasal epithelial cells from younger adults (26-32 Y) and older children (12-14 Y) using single-cell RNA-sequencing. Ciliated and secretory-ciliated cells formed the majority of highly infected cell-types, where the latter derived from ciliated lineages. Strong innate immune responses were observed across lowly-infected and un-infected bystander cells and heightened in Alpha-infection. Alpha highly-infected cells showed increased expression of protein-refolding genes compared with ancestral-strain-infected cells in children. Furthermore, oxidative phosphorylation-related genes were down-regulated in bystander cells versus infected and mock-control, underscoring the importance of these biological functions for viral replication. Overall, this study highlights the complexity of cell-type-, age- and viral strain-dependent host epithelial responses to SARS-CoV-2.

2024-05-23 | GSE241292 | GEO

Single-cell RNA-seq of air-liquid interface bronchioalveolar cells

Project description:Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19), may result in acute respiratory distress syndrome (ARDS), multi-organ failure and death. The alveolar epithelium is a major target of the virus, but representative models to study virus host interactions in more detail are currently lacking. Here, we describe a human 2D air-liquid interface culture system which was characterized by confocal-, electron-microscopy and single cell mRNA expression analysis. In this model, alveolar cells, but also basal cells and rare neuroendocrine cells, are grown from 3D self-renewing lung bud tip organoids. These cultures were readily infected by SARS-CoV-2 with mainly surfactant protein C-positive ATII-like cells being targeted. Consequently, significant viral titers were detected and mRNA expression analysis revealed induction of type I/III interferon response program. Treatment of these cultures with a low dose of interferon lambda dramatically reduced viral replication. Hence, these cultures represent an experimental model for SARS-CoV-2 infection and can be applied for drug screens.

2021-01-29 | GSE161934 | GEO

Mouse and Human Conjunctiva Organoids to Study Ocular Surface Homeostasis and Disease

Project description:The conjunctival epithelium covering the eye consists of two main differentiated cell types: mucus-producing Goblet cells and ‘keratinocytes’ of unknown function. Here, we describe long-term expanding organoids representing human conjunctiva. To check if interleukins may boost secretome expression, we stimulated the organoid cells with pleiotropic anti-inflammatory cytokines interleukin-4 and IL-13. Secretions were identified by shotgun MS to quantitatively enriched secreted proteins.

2024-01-11 | PXD043550 | Pride

Gene expression profiles of mouse colonic epithelial monolayer cultured in air-liquid interface

Project description:The colonic epithelium can undergo multiple rounds of damage and repair, often in response to excessive inflammation. Our understanding of how this process occurs is limited by a lack of in vitro models that recapitulate key aspects of in vivo responses. We established a long-term, self-organizing 2D epithelial monolayer system to model the cyclic nature of epithelial alterations during injury-repair. Through RNA-seq analysis, we seek to evaluate the transcriptomic profiles of the cultured epithelial cells under select phases of “homeostasis-injury-repair” in vitro.

2019-12-29 | GSE127172 | 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