Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Integrative Single Cell Multiomic Profiling Analysis Reveals HOX-PBX Gene Regulatory Network Regulating the Survival of mTOR Hyperactive Cells [snATAC-Seq]

ABSTRACT: Integrative Single Cell Multiomic Profiling Analysis Reveals HOX-PBX Gene Regulatory Network Regulating the Survival of mTOR Hyperactive Cells [snATAC-Seq]

PROVIDER: PRJNA896956 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Integrative Single Cell Multiomic Profiling Analysis Reveals HOX-PBX Gene Regulatory Network Regulating the Survival of mTOR Hyperactive Cells [snATAC-Seq]

Project description:Lymphangioleiomyomatosis (LAM) is a rare, debilitating lung disease that predominantly affects women of reproductive age. LAM cells carry deleterious mutations of tuberous sclerosis complex (TSC1/TSC2) genes, resulting in hyperactivation of the mechanistic target of rapamycin complex 1 (mTORC1) and ultimately dysregulated cell growth. The integrative single cell omics data identified the activation of uterine specific HOX-PBX transcriptional programming in pulmonary LAMCORE cells. Network analysis predicted homeobox transcription factors including PBX1 and HOXD11 as key regulators controlling LAMCORE cell fate. Targeting the HOX-PBX network may have therapeutic value in LAM and TSC-related diseases, and possibly in other mTORC1-hyperactive neoplasms.

2023-04-03 | GSE217106 | GEO

Integrative Single Cell Multiomic Profiling Analysis Reveals HOX-PBX Gene Regulatory Network Regulating the Survival of mTOR Hyperactive Cells [snRNA-Seq]

2023-04-03 | GSE217107 | GEO

Integrative Single Cell Multiomic Profiling Analysis Reveals HOX-PBX Gene Regulatory Network Regulating the Survival of mTOR Hyperactive Cells

Project description:Integrative Single Cell Multiomic Profiling Analysis Reveals HOX-PBX Gene Regulatory Network Regulating the Survival of mTOR Hyperactive Cells

| PRJNA896954 | ENA

Integrative Single Cell Multiomic Profiling Analysis Reveals HOX-PBX Gene Regulatory Network Regulating the Survival of mTOR Hyperactive Cells [snRNA-Seq]

Project description:Integrative Single Cell Multiomic Profiling Analysis Reveals HOX-PBX Gene Regulatory Network Regulating the Survival of mTOR Hyperactive Cells [snRNA-Seq]

| PRJNA896957 | ENA

CEH-60/PBX regulates vitellogenesis and cuticle formation through interaction with UNC-62/MEIS in Caenorhabditis elegans

Project description:The onset of sexual maturity involves dramatic changes in physiology and gene expression in many animals. A textbook example is the production of enormous amounts of yolk proteins destined for the nascent oocytes, termed vitellogenesis. We previously identified the rapidly evolving PBC-class Hox-cofactor CEH-60/PBX as necessary for abundant vit transcription in C. elegans. Differential proteomics data shows that all vitellogenin proteins are indeed drastically downregulated in ceh-60 mutant animals and suggest an additional role for CEH-60’s involvement cuticle structure, innate immunity and stress response.

2019-09-25 | PXD013584 | Pride

Integrative Single Cell Multiomic Profiling Analysis Reveals HOX-PBX Gene Regulatory Network Regulating the Survival of mTOR Hyperactive Cells

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

2023-04-03 | GSE217108 | GEO

Multiomic (Joint snRNA/snATAC) sequencing data of intestinal crypts and epithelial only organoids derived from human fetal duodenum

Project description:Here, we used joint single-nuclei RNA-sequencing (snRNA-seq) and single-nuclei ATAC sequencing (scATAC) to profile freshly isolated crypts from the human fetal intestine and matched intestinal epithelial only organoids (also known as enteroids) derived from these crypts after one passage of in vitro growth. Organoids were grown in the standard 25% LWRN media with either 100 ng/ml of EGF or 1 ng/ml of EREG added. Fresh crypts were not placed in culture but rather immediately frozen for multiomic processing.

2022-07-16 | E-MTAB-11908 | biostudies-arrayexpress

Pbx IIBA ChIP-seq

Project description:Pbx IIBA ChIP-seq

| PRJEB1864 | ENA

Single nucleus RNA-seq, ATAC-seq, and multiomic sequencing of adult human kidney

Project description:In this study, we generated a single nucleus multiomic (snRNA-seq and snATAC-seq) dataset of adult human kidney. We developed a bioinformatic tool to analyze this dataset by identifying key cis-regulatory elements and transcription factors associated with specific cell types and states. We applied this tool to identify transcription factors implicated in proximal tubule cell injury and failed repair states. We demonstrate this tool can be applied to single cell multiomic datasets to derive insight into cell type- and state-specific gene regulatory networks.

2023-01-02 | GSE220251 | GEO

Predicting drivers of proximal tubule cell state through regularized regression analysis of single cell multiomic sequencing

2023-01-02 | GSE220230 | GEO