Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Comprehensive molecular characterization of lung tumors implicates AKT and MYC signaling in adenocarcinoma to squamous cell transdifferentiation [EPIC]

ABSTRACT: Comprehensive molecular characterization of lung tumors implicates AKT and MYC signaling in adenocarcinoma to squamous cell transdifferentiation [EPIC]

PROVIDER: PRJNA938466 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR23612410_1.fastq.gz	Fastqsanger.gz
	SRR23612410_2.fastq.gz	Fastqsanger.gz
	SRR23612411_1.fastq.gz	Fastqsanger.gz
	SRR23612411_2.fastq.gz	Fastqsanger.gz
	SRR23612412_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 76

Similar Datasets

Comprehensive molecular characterization of lung tumors implicates AKT and MYC signaling in adenocarcinoma to squamous cell transdifferentiation

Project description:Comprehensive molecular characterization of lung tumors implicates AKT and MYC signaling in adenocarcinoma to squamous cell transdifferentiation

| PRJNA938458 | ENA

Comprehensive molecular characterization of lung tumors implicates AKT and MYC signaling in adenocarcinoma to squamous cell transdifferentiation [RNA-seq]

Project description:Comprehensive molecular characterization of lung tumors implicates AKT and MYC signaling in adenocarcinoma to squamous cell transdifferentiation [RNA-seq]

| PRJNA938465 | ENA

Comprehensive molecular characterization of lung tumors implicates AKT and MYC signaling in adenocarcinoma to squamous cell transdifferentiation [EPIC]

Project description:To investigate molecular changes occurring during lung adenocarcinoma to squamous carcinoma transformation.

2023-02-28 | GSE226068 | GEO

Transdifferentiation of Rat Keratinocyte Progenitors to Corneal Epithelial Cells by Limbal Niche via the STAT3/PI3K/AKT signaling pathway

Project description:PURPOSE. To develop a method for enriching keratinocyte progenitor cells (KPCs) and establish a limbal niche (LN)-mediated transdifferentiation protocol to induce KPCs transdifferentiation into corneal epithelial cells. METHODS. Limbal niche cells (LNCs) were isolated from limbal tissues through enzymatic digestion and characterized. Conditioned medium from LNCs cultures was collected. KPCs were enriched by rapid adhesion of Matrigel and subsequently cultured in either an LNCs-conditioned medium supplemented with KSFM (LN-KS) or SHEM (LN-SH) for 14 days. Corneal-specific marker expression was assessed to evaluate transdifferentiation efficiency. Key transcription factors and signaling pathways involved in the transdifferentiation process were identified through single-cell and RNA sequencing, and validated using western blot and quantitative real-time PCR. RESULTS. Both LN-KS and LN-SH protocols successfully induced corneal epithelial cell transdifferentiation from KPCs, with LN-KS demonstrating higher efficiency in generating CK12+ and p63+ cells (p<0.001). RNA sequencing analysis and western blot have revealed significant activation of STAT3 and PI3K/AKT signaling pathways. Inhibition of STAT3 blocked PI3K/AKT activation and impaired corneal epithelial cell transdifferentiation. CONCLUSIONS. This study demonstrates the ability of LN to promote KPCs transdifferentiation into corneal epithelial cells in vitro, a process partially mediated by the STAT3 and PI3K/AKT signaling pathways.

2024-12-22 | GSE284499 | GEO

Comprehensive molecular characterization of lung tumors implicates AKT and MYC signaling in adenocarcinoma to squamous cell transdifferentiation

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

2023-02-28 | GSE226070 | GEO

Comprehensive molecular characterization of lung tumors implicates AKT and MYC signaling in adenocarcinoma to squamous cell transdifferentiation [RNA-seq]

Project description:To investigate molecular changes occurring during lung adenocarcinoma to squamous carcinoma transformation.

2023-02-28 | GSE226069 | GEO

EPIC-HPS

Project description:EPIC-HPS

| PRJNA684138 | ENA

EPIC-Italy at HuGeF

Project description:This Series contains data from 845 participants (188 men and 657 women) in the EPIC-Italy cohort that was produced at the Human Genetics Foundation (HuGeF) in Turin, Italy. At the last follow-up (2010), 424 participants remained cancer-free, 235 had developed primary breast cancer, 166 had developed primary colorectal cancer, and 20 had developed other primary cancers. Anthropometric measurements, and dietary and lifestyle information obtained by questionnaire are also available. A total of 845 samples from the EPIC-Italy cohort were analyzed.

2013-09-20 | E-GEOD-51032 | biostudies-arrayexpress

EPIC: Software Toolkit for Elution Profile-Based Inference of Protein Complexes

Project description:Heteromeric protein complexes are key macromolecular machines of the cell, but their description remains incomplete. We previously reported an experimental strategy for global characterization of native protein assemblies based on chromatographic fractionation of biological extracts coupled to precision mass spectrometry analysis (CF/MS), but the resulting data can be challenging to process and interpret. Here, we describe EPIC (Elution Profile-based Inference of Complexes), a software toolkit for automated scoring of CF/MS data for large-scale determination of high-confidence physical interaction networks and macromolecular assemblies from diverse biological specimens. As a case study, we used EPIC to map the global interactome of Caenorhabditis elegans, defining 590 putative worm protein complexes linked to diverse biological processes, including assemblies unique to nematodes. The EPIC software is freely available as a Jupyter notebook packaged in a Docker container (https://hub.docker.com/r/baderlab/bio-epic/), and the open source code is available via GitHub (https://github.com/BaderLab/EPIC).

2019-07-16 | PXD011182 | Pride

EPIC-HPS

Project description:EPIC methylation array from liver DNA obtained from liver tissue preserved in paraffin, from individuals with or without HEPATOPULMONARY SYNDROME (HPS)

2020-12-26 | GSE162984 | 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