Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Subcellular profiling of macrophage long non-coding RNAs

ABSTRACT: Recent advances in next generation sequencing have improved human genome annotations and revealed thousands of previosly unknown long non-coding RNA loci. Here, we characterized immune-responsive long non-coding RNAs (lncRNAs) and determined their subcellular localization and co-sedimentation with protein complexes in primary human macrophages. To this end, we profiled LPS-responsive lncRNAs, isolated cytoplasmic and nuclear RNA fractions from mock- and LPS-treated cells and seperated cell lysates on 10-60 % glycerol gradients, followed by gradient fractionation. All samples were subjected to RNA-Seq analysis. LPS-responsive lncRNAs were found to be mostly cytoplasmic. Glycerol gradient datasets revealed that a substantial fraction of LPS-responsive lncRNAs, similar to mRNAs, co-sediments with ribosomal RNAs and also ribosomal proteins, as confirmed by mass-spectrometry analysis. LncRNAs not co-sedimenting with ribosomes displayed a highly heterogenous gradient distriubtion. Among these truly non-coding RNAs we identified lncRNA MaIL1 as a novel element of the macrophage TLR-TRIF signaling pathway contributing to antibacterial defense.

ORGANISM(S): Homo sapiens

PROVIDER: GSE101409 | GEO | 2020/03/16

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Genome-wide screening of the expression of long noncoding RNA and coding RNA expression in esophageal sqaumous cell cancer

Project description:In order to understand the role of long noncoding RNAs (lncRNAs) and their interaction with coding RNAs in esophageal sqaumous cell cancer (ESCC), we performed genome-wide screening of the expression of lncRNAs and coding RNAs from primary ESCC tissue and adjacent normal tissue using Agilent SurePrint G3 Human GE 8x60K Microarray. By comparing ESCC tissues and matched normal tissues, differentially expressed lncRNAs and coding RNAs were identified and confirmed with PCR and other independent studies. We further identified a subset of co-located and co-expressed lncRNAs and coding RNAs using bioinformatic tools and the analysis suggested that a subset of lncRNAs may influence nearby genes involved in the genesis of ESCC. Four pairs of ESCC primary tumors and adjacent normal tissues were used for genome-scale microarray experiments, which included long noncoding RNAs and coding RNAs. Selected lncRNAs expressed in the experiment were validated on independent matched-pair samples with PCR method.

2013-03-21 | E-GEOD-45350 | biostudies-arrayexpress

Genome-wide screening of the expression of long noncoding RNA and coding RNA expression in esophageal sqaumous cell cancer

2013-03-21 | GSE45350 | GEO

Transcriptomic Analysis of High Fat Diet Fed Mouse Brain Cortex

Project description:High fat diet can lead to metabolic diseases such as obesity and diabetes known to be chronic inflammatory diseases with high prevalence worldwide. Recent studies have reported cognitive dysfunction in obese patients is caused by a high fat diet. Accordingly, such dysfunction is called “type 3 diabetes” or “diabetic dementia.” Although dysregulation of protein-coding genes has been extensively studied, profiling of non-coding RNAs including long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs) has not been reported yet. Therefore, the objective of this study was to obtain profiles of diverse RNAs and determine their patterns of alteration in high fat fed brain cortex compared to normal brain cortex. To investigate regulatory roles of both coding and non-coding RNAs in high fat diet brain, we performed RNA sequencing of ribosomal RNA-depleted RNAs and identified genome-wide lncRNAs and circRNAs expression and co-expression patterns of mRNAs in high fat diet mouse brain cortex. Our results showed expression levels of mRNAs related to neurogenesis, synapse, and calcium signaling were highly changed in high fat diet fed cortex. In addition, numerous differentially expressed lncRNAs and circRNAs were identified. Our study provides valuable expression profiles and potential function of both coding and non-coding RNAs in high fat diet fed brain cortex.

2021-07-11 | GSE179711 | GEO

Identification of Long Non-coding RNA Biomarker of Human Lupus Nephritis Disease Activity

Project description:Total RNA sequencing was performed on whole blood samples from 74 Lupus nephritis (LN) patients and 20 healthy controls. Differential expression analysis and weighted gene co-expression network analysis were performed to characterise expression changes of long non-coding RNAs (lncRNAs) in LN and identify lncRNAs with a key role in disease activity that could be used as potential blood-based biomarkers.

| EGAS00001007117 | EGA

Gene expression profiling of Male and Female adult mouse liver using RNA-seq

Project description:Liver sex-specific long noncoding RNAs (lncRNAs) were identified based on three pools of male and three pools of female ribosomal RNA-depleted total liver RNAs, as well as three pools of male and three pools of female ribosomal RNA-depleted nuclear liver RNAs from CD-1 mice. This dataset is part of a larger study, entitled "Sex-biased lncRNAs inversely correlate with sex-opposite gene co-expression networks in Diversity Outbred mouse liver", Endocrinology (2019) 160:989-1007, PMID:30840070.

2020-05-22 | GSE109621 | GEO

Integrated lncRNAs and mRNAs sequencing reveals lncRNAs regulatory network associated with lung injury in LPS-induced septic shock rats

Project description:Sepsis is associated with increased morbidity and mortality. Long non-coding RNAs (lncRNAs) have been associated with human diseases. Here, we used a microarray to analyze lncRNAs and mRNAs expression and functional network of lung injury in lipopolysaccharide (LPS)-induced septic shock rats.

2023-07-17 | GSE154653 | GEO

The long non-coding RNA LUCAT1 is a negative feedback regulator of the Interferon Response in humans (LPS dataset)

Project description:Long non-coding RNAs (lncRNAs) are important regulators of biological processes including immune responses. In the immune system, the immunoregulatory functions of lncRNAs have been revealed in murine studies with limited understanding of lncRNAs and the immune response in humans. Here, we identified lncRNA LUCAT1 as amongst the most dynamically regulated non-coding transcripts in human myeloid cells stimulated with lipopolysaccharide (LPS) and other activators of the innate immune response.

2020-02-19 | GSE145450 | GEO

The long non-coding RNA LUCAT1 is a negative feedback regulator of the Interferon Response in humans (IAV and HSV dataset)

2020-02-19 | GSE145449 | GEO

Characterization of stress-responsive lncRNAs in Arabidopsis thaliana

Project description:We sequenced the total RNA from a tissues mixed sample (inflorescences, rosette leaves, cauline leaves and stems) of Arabidopsis thaliana. After total RNA extraction, the same amount of tissue RNA were mixed. Ribosomal RNAs were deleted from the mixed tissue total RNAs using RiboMinus™ Plant Kit repeated three times. We also sequenced 9 poly(A)- RNAs from seedlings treated with different stress conditions at different times. The poly(A)- RNAs were collected by removing poly(A)+ RNAs four times . Then rRNAs were removed from poly(A)- RNAs three times. Sequencing of total RNAs from the mixed tissues sample is taken as an example of collecting novel transcripts from high-throughput data, which could be clarified by noncoding scores derived from our integrative models. Sequencing of nonpolyA RNAs are used for identifing stress-responsive nonpolyA lncRNAs and for validation of predicted lncRNAs.

2014-09-18 | E-GEOD-49325 | biostudies-arrayexpress

Catalogue of differentially expressed long non-coding RNAs following activation of human and mouse innate immunity

Project description:Despite increasing evidence to indicate that long non-coding RNAs (lncRNAs) are novel regulators of immunity, there has been no systematic attempt to identify and characterise the lncRNAs whose expression are changed following the induction of the innate immune response. To address this issue, we have employed next generation sequencing data to determine the changes in the lncRNA profile in LPS-stimulated human macrophages, IL1beta-stimulated human airway A549 epithelial cells and and LPS-stimulated mouse RAW 264.7 macrophages

2017-10-01 | GSE101868 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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