Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Integrated analysis of motif activity and gene expression changes of transcription factors

ABSTRACT: The ability to predict transcription factors based on sequence information in regulatory elements is a key step in systems-level investigation of transcriptional regulation. Here, we have developed a novel tool, IMAGE, for precise prediction of transcription factors based on transcriptome profiling and genome-wide maps of enhancer activity. High precision is obtained by combining a near-complete database of position weight matrices (PWMs), generated by compiling public databases and systematic prediction of PWMs for uncharacterized transcription factors, with a state-of-the-art method for PWM scoring and a novel machine learning strategy, based on both enhancers and promoters, to predict the contribution of motifs to transcriptional activity. We applied IMAGE to published data obtained during 3T3-L1 adipocyte differentiation and showed that IMAGE predicts causal transcriptional regulators of this process with higher confidence than other methods. Furthermore, we generated genome-wide maps of enhancer activity and transcripts during human mesenchymal stem cell commitment and adipocyte differentiation and used IMAGE to identify positive and negative transcriptional regulators of this process. Collectively, our results demonstrate that IMAGE is a powerful and precise method for prediction of regulators of gene expression.

ORGANISM(S): Homo sapiens

PROVIDER: GSE104537 | GEO | 2017/12/04

SECONDARY ACCESSION(S): PRJNA412987

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

QCMAP Brain proteomics data - QCMAP: An Interactive Web-Tool for Performance Diagnosis and Prediction of LC-MS Systems

Project description:we developed a web-based application (QCMAP) for interactive diagnosis and prediction of the per-formance of LC-MS systems across different biological sample types. Leveraging on a standardized HeLa sample run in Sydney MS core facility, we trained predictive models on a panel of commonly used performance factors to pinpoint the precise conditions to a (un)satisfactory performance in three LC-MS systems. Next, we demonstrated that the learned model can be applied to predict LC-MS system performance for brain samples generated from an independent study. By compiling these predictive models into our web-application, QCMAP allows users to supply their own samples to benchmark the performance of their LC-MS systems and identify key factors for instrument opti-misation.. To demonstrate this, we obtained 10 datasets generated on a QECl instrument from mouse brain samples with different levels of quality.

2019-05-06 | PXD010307 | Pride

hepatitis b & c virus

Project description:Earlier Prediction and diagonsis of lung cancer using image processing

| PRJNA556982 | ENA

Transcriptional determinants of lipid mobilization in human adipocytes

Project description:Defects in white adipose tissue lipolysis drive multiple aspects of cardiometabolic disease but the transcriptional framework controlling this process has not been established. To address this, we performed a targeted perturbation screen in primary human adipocytes. Our analyses identified 37 transcriptional regulators of lipid mobilization, which we classified as: i) transcription factors, ii) histone variant chaperones, and iii) mRNA processing proteins. Based on its strong relationship with multiple readouts of lipolysis in patient samples, we performed mechanistic studies on ZNF189, which encodes the Zinc Finger Protein 189. Using mass-spectrometry and chromatin profiling techniques, we show that ZNF189 interacts with the tripartite motif family member TRIM28 and represses the transcription of an adipocyte-specific isoform of Phosphodiesterase 1B (PDE1B2). The regulation of lipid mobilization by ZNF189 requires PDE1B2 and overexpression of PDE1B2 is sufficient to attenuate hormone-stimulated lipolysis. Thus, our work identifies the ZNF189-PDE1B2 axis as a determinant of human adipocyte lipolysis and highlights a link between chromatin architecture and lipid mobilization. [Manuscript Abstract]

2024-01-17 | PXD046964 | Pride

Rodríguez-Jorge2019 - Boolean model of combined TCR and TLR5 signaling for CD4 + T cell activation

Project description:CD4+ T cells recognize antigens through their T cell receptors (TCRs); however, additional signals involving costimulatory receptors, for example, CD28, are required for proper T cell activation. Alternative costimulatory receptors have been proposed, including members of the Toll-like receptor (TLR) family, such as TLR5 and TLR2. To understand the molecular mechanism underlying a potential costimulatory role for TLR5, we generated detailed molecular maps and logical models for the TCR and TLR5 signaling pathways and a merged model for cross-interactions between the two pathways. Furthermore, we validated the resulting model by analyzing how T cells responded to the activation of these pathways alone or in combination, in terms of the activation of the transcriptional regulators CREB, AP-1 (c-Jun), and NF-κB (p65). Our merged model accurately predicted the experimental results, showing that the activation of TLR5 can play a similar role to that of CD28 activation with respect to AP-1, CREB, and NF-κB activation, thereby providing insights regarding the cross-regulation of these pathways in CD4+ T cells.

2021-04-06 | MODEL1903260003 | BioModels

Rodríguez-Jorge2019 - Boolean model of TCR signaling for CD4 + T cell activation

2021-04-06 | MODEL1903260001 | BioModels

Project description:The formation of the visual system is a complex multistep process that includes the establishment of proper connectivity of retinal ganglion cell (RGC) axon terminals with their relay neurons located in the brain. In mammals, the assembly of the different components of the visual circuit occurs at perinatal stages before eye opening. Upon reaching the target nuclei RGC axons extensively arborize and subsequently refine to establish the final connections. Spontaneous activity generated in the immature retina plays an essential role in the refinement of visual terminals at the main image-forming nuclei (IFN) that follow an eye-specific and retinotopic organization. However, the molecular mechanisms underlying spontaneous activity-dependent axon remodeling, and the influence of this activity in the connectivity of non-image forming nuclei (NIFN) that lack precise retinotopic maps and/or eye-specific segregation, are not well known. Here, by generating conditional mice with disturbed spontaneous retinal aneactivity and analyzing their retinal transcriptomic profiles, we identified novel players involved in axon refinement at the visual nuclei (e. g. Syt13). The analysis of visual projections in the NIFN of these mice revealed that correlated-retinal activity shapes final connectivity in non retinotopic or eye-specific segregating visual nuclei.

2024-10-09 | GSE193498 | GEO

High-speed fluorescence image-enabled cell sorting

Project description:Fast and selective isolation of single cells with unique spatial and morphological traits remains a technical challenge. We address this by establishing high speed image-enabled cell sorting (ICS), which records multicolor fluorescence images, and sorts cells based on measurements from image data at speeds up to 15,000 events per second. We combine ICS with CRISPR-pooled screens to identify novel regulators of the NF-κB pathway, enabling the completion of genome-wide image- based screens in around nine hours of run-time.

2022-01-20 | GSE167944 | GEO

Epigenome analysis of statin-treated SGBS pre-adipocytes during differentiation

Project description:We investigated the role of statin treatment in adipocyte differentiation by using the in vitro pre-adipocyte SGBS cell line. We found that statins induced a reduction in adipogenesis by decreasing the mRNA expression of key transcriptional regulators, such as ADIPOQ and GLUT4. Therefore, we analysed the whole methylome of statin-treated cells, compared to DMSO-vehicle controls, using the 850K methylation arrays (Illumina) to identify putative effective genes.

2020-09-21 | GSE139211 | GEO

Transcriptome-wide analysis of adipose circular RNAs reveals their dynamic regulation in obesity and functional role in adipogenesis

Project description:Non-coding RNAs are emerging as novel regulators in adipocyte differentiation and function. Circular RNAs (circRNAs) are a new class of non-coding transcripts generated across all eukaryotic tissues, but their function in adipose biology remains unknown. Here we perform deep sequencing of visceral and subcutaneous fat to discover thousands of adipose circRNAs, many of which are species-conserved, tissue-specific and dynamically regulated during adipogenesis and obesity. We identified circTshz2-1 and circArhgap5-2 as indispensable regulators of adipogenesis in vitro. To characterize the function of circRNAs in vivo, we injected adenoviral shRNA targeting circArhgap5-2 into mouse inguinal tissue and found that the expression of this circRNA was essential in maintaining the global adipocyte transcriptional programme involved in lipid biosynthesis and metabolism. Furthermore, we demonstrated that the pro-adipogenic function of circArhgap5-2 is conserved in human adipocytes. Our results provide important evidence that circRNAs serve as important regulators in adipocyte differentiation and metabolism.

2019-07-03 | GSE118762 | GEO

Wild type vs. Nova2 KO mouse: Exon junction array data

Project description:To assess the requirement of Nova2 for alternative processing of RNA in mouse brain. Protein-RNA interactions play critical roles in all aspects of gene expression. Here we develop a genome-wide means of mapping protein-RNA binding sites in vivo, by high throughput sequencing of RNA isolated by crosslinking immunoprecipitation (HITS-CLIP). HITS-CLIP analysis of the neuron-specific splicing factor Nova2 revealed extremely reproducible RNA binding maps in multiple mouse brains. These maps provide genome-wide in vivo biochemical footprints confirming the previous prediction that the position of Nova binding determines the outcome of alternative splicing; moreover, they are sufficiently powerful to predict Nova action de novo. HITS-CLIP revealed a large number of Nova-RNA interactions in 3’ UTRs, leading to the discovery that Nova regulates alternative polyadenylation in the brain. HITS-CLIP, therefore, provides a robust, unbiased means to identify functional protein-RNA interactions in vivo.

2009-11-04 | GSE17376 | 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