Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Cellular heterogeneity in the 16HBE14o- airway epithelial line impacts functional readouts [ATAC-seq]

ABSTRACT: Cellular heterogeneity in the 16HBE14o- airway epithelial line impacts functional readouts [ATAC-seq]

PROVIDER: PRJNA911926 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Cellular heterogeneity in the 16HBE14o- airway epithelial line impacts functional readouts.

Project description:Cellular heterogeneity in the 16HBE14o- airway epithelial line impacts functional readouts.

| PRJNA911760 | ENA

Cellular heterogeneity in the 16HBE14o- airway epithelial line impacts functional readouts [4C-seq]

Project description:Cellular heterogeneity in the 16HBE14o- airway epithelial line impacts functional readouts [4C-seq]

| PRJNA911927 | ENA

Cellular heterogeneity in the 16HBE14o- airway epithelial line impacts functional readouts [RNA-seq]

Project description:Cellular heterogeneity in the 16HBE14o- airway epithelial line impacts functional readouts [RNA-seq]

| PRJNA911925 | ENA

Cellular heterogeneity in the 16HBE14o- airway epithelial line impacts functional readouts [ATAC-seq]

Project description:The airway epithelial cell line, 16HBE14o-, is an important cell model for studying airway disease. 16HBE14o- cells were originally generated from primary human bronchial epithelial cells by SV40-mediated immortalization, a process that is associated with genomic instability through long-term culture. Here we explore the heterogeneity of these cells, with respect to expression of the cystic fibrosis transmembrane conductance regulator (CFTR) transcript and protein. We isolate clones of 16HBE14o- with stably higher and lower levels of CFTR in comparison to bulk 16HBE14o-, designated CFTRhigh and CFTRlow. Detailed characterization of the CFTR locus in these clones by ATAC-seq and 4C-seq showed open chromatin profiles and higher order chromatin structure that correlate with CFTR expression levels. . Transcriptomic profiling of CFTRhigh and CFTRlow cells showed that the CFTRhigh cells had an elevated inflammatory/ innate immune response phenotype. These results encourage caution in interpreting functional data from clonal lines of 16HBE14o- cells, generated after genomic or other manipulations.

2023-06-07 | GSE220853 | GEO

Cellular heterogeneity in the 16HBE14o- airway epithelial line impacts functional readouts [4C-seq]

2023-06-07 | GSE220852 | GEO

Cellular heterogeneity in the 16HBE14o- airway epithelial line impacts functional readouts [RNA-seq]

2023-06-07 | GSE220854 | GEO

Single cell multiomic readouts reveal that cellular heterogeneity impacts lipid nanoparticle-mediated mRNA delivery

Project description:Single cell multiomic readouts reveal that cellular heterogeneity impacts lipid nanoparticle-mediated mRNA delivery

| PRJNA773730 | ENA

Cellular heterogeneity in the 16HBE14o- airway epithelial line impacts functional readouts.

Project description:This SuperSeries is composed of the SubSeries listed below.

2023-06-07 | GSE220855 | GEO

Phosphoproteome of airway epithelial cell in response to infection with Staphylococcus aureus

Project description:Here we used an unbiased proteomic and phosphoproteomic approach to characterize the response of 16HBE14o- airway epithelial cells following infection with S. aureus.

2016-12-14 | PXD002776 | Pride

Single cell multiomic readouts reveal that cellular heterogeneity impacts lipid nanoparticle-mediated mRNA delivery

Project description:We report the development of a new multiomic nanoparticle delivery system called Single cEll Nanoparticle Transcriptome-sequencing (SENT-seq), which quantifies how dozens of lipid nanoparticles (LNPs) deliver DNA barcodes and mRNA into cells, subsequent protein production, and the transcriptome, with single cell resolution. We show from the sequencing data that cell heterogeneity influences the efficiency with which LNPs deliver mRNA therapies, and identify cell subtypes that exhibit particularly high or low LNP uptake as well as genes associated with those subtypes. These data suggest that cell subsets have distinct responses to LNPs, and that these differential interactions can affect mRNA therapies.

2023-01-23 | GSE186395 | 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