Long noncoding RNAs are spatially correlated with transcription factors and regulate lung development
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE52389 | GEO | 2014/07/22
SECONDARY ACCESSION(S): PRJNA227765
REPOSITORIES: GEO
Similar Datasets
Project description:To identify potential biological functions for three lncRNAs (NANCI, LL12, and LL34) we used shRNAs to knockdown expression of lncRNAs in MLE12 cells, a cell resembling type two lung epithelial cells. This data set contains the microarrays looking at gene expression. We used biological triplicate for each shRNA treatment and each treatment group was compared to a biological triplicate of MLE12 cells treated with a scrambled shRNA.
2014-07-22 | E-GEOD-52389 | biostudies-arrayexpress
Project description:Long noncoding RNAs (lncRNAs) are thought to play important roles in regulating gene transcription, but few have well-defined expression patterns or known biological functions during mammalian development. Using a conservative pipeline to identify lncRNAs that have important biological functions, we identified 363 lncRNAs in the lung and foregut endoderm. Importantly, we show that these lncRNAs are spatially correlated with transcription factors across the genome. In-depth expression analyses of lncRNAs with genomic loci adjacent to the critical transcription factors Nkx2.1, Gata6, Foxa2 (forkhead box a2), and Foxf1 mimic the expression patterns of their protein-coding neighbor. Loss-of-function analysis demonstrates that two lncRNAs, LL18/NANCI (Nkx2.1-associated noncoding intergenic RNA) and LL34, play distinct roles in endoderm development by controlling expression of critical developmental transcription factors and pathways, including retinoic acid signaling. In particular, we show that LL18/NANCI acts upstream of Nkx2.1 and downstream from Wnt signaling to regulate lung endoderm gene expression. These studies reveal that lncRNAs play an important role in foregut and lung endoderm development by regulating multiple aspects of gene transcription, often through regulation of transcription factor expression.
| S-EPMC4066405 | biostudies-literature
Project description:Tumour DNA contains thousands of somatic single nucleotide variants (SNVs) in non-protein-coding elements, yet their functional significance remains poorly understood. Amongst the most highly mutated elements are long noncoding RNAs (lncRNAs), functional transcripts with known roles in carcinogenesis. To search for driver mutations in lncRNAs, we apply an integrative driver discovery algorithm to SNVs from 2583 primary tumours and 3527 metastases to reveal 54 potential “driver lncRNAs”. Our algorithm confirms a particularly high mutation rate in the iconic cancer lncRNA, NEAT1, which has been ascribed by recent studies to passenger effects. We directly test the functionality of NEAT1 SNVs using in cellulo mutagenesis, identifying discrete regions where mutations reproducibly increase cell proliferation in diverse cell backgrounds, both cancerous and normal. In particular, mutations in the 5’ region alter ribonucleoprotein assembly and boost the population of subnuclear paraspeckles, thus mechanistically linking mutations to cellular proliferation. We then used RNA-pull down followed by mass spectrometry to identify the protein interactor changing between the wild type and mutant form of NEAT1.
2023-07-20 | PXD034007 | Pride
Project description:The prevalence of obesity has led to a surge of interest in understanding the detailed mechanisms underlying adipocyte development. Many protein-coding genes, mRNAs, and microRNAs have been implicated in adipocyte development, but the global expression patterns and functional contributions of long noncoding RNA (lncRNA) during adipogenesis have not been explored. Here we profiled the transcriptome of primary brown and white adipocytes, preadipocytes, and cultured adipocytes and identified 175 lncRNAs that are specifically regulated during adipogenesis. Many lncRNAs are adipose-enriched, strongly induced during adipogenesis, and bound at their promoters by key transcription factors such as peroxisome proliferator-activated receptor ? (PPAR?) and CCAAT/enhancer-binding protein ? (CEBP?). RNAi-mediated loss of function screens identified functional lncRNAs with varying impact on adipogenesis. Collectively, we have identified numerous lncRNAs that are functionally required for proper adipogenesis.
| S-EPMC3587215 | biostudies-literature
Project description:Noncoding RNAs have been implicated in the regulation of expression of numerous genes; however, the mechanism is not fully understood. We identified bidirectional, long noncoding RNAs upstream of the TNF gene using five different methods. They arose in a region where the repressors LRRFIP1, EZH2, and SUZ12 were demonstrated to bind, suggesting a role in repression. The noncoding RNAs were polyadenylated, capped, and chromatin associated. Knockdown of the noncoding RNAs was associated with derepression of TNF mRNA and diminished binding of LRRFIP1 to both RNA targets and chromatin. Overexpression of the noncoding RNAs led to diminished expression of TNF and recruitment of repressor proteins to the locus. One repressor protein, LRRFIP1, bound directly to the noncoding RNAs. These data place the noncoding RNAs upstream of TNF gene as central to the transcriptional regulation. They appear to serve as a platform for the assembly of a repressive complex.
| S-EPMC3965610 | biostudies-literature
Project description:Noncoding RNAs include small transcripts, such as microRNAs and piwi-interacting RNAs, and a wide range of long noncoding RNAs (lncRNAs). Although many lncRNAs have been identified, only a small number of lncRNAs have been characterized functionally. Here, we sought to identify lncRNAs differentially expressed during replicative senescence. We compared lncRNAs expressed in proliferating, early-passage, 'young' human diploid WI-38 fibroblasts [population doubling (PDL) 20] with those expressed in senescent, late-passage, 'old' fibroblasts (PDL 52) by RNA sequencing (RNA-Seq). Numerous transcripts in all lncRNA groups (antisense lncRNAs, pseudogene-encoded lncRNAs, previously described lncRNAs and novel lncRNAs) were validated using reverse transcription (RT) and real-time, quantitative (q)PCR. Among the novel senescence-associated lncRNAs (SAL-RNAs) showing lower abundance in senescent cells, SAL-RNA1 (XLOC_023166) was found to delay senescence, because reducing SAL-RNA1 levels enhanced the appearance of phenotypic traits of senescence, including an enlarged morphology, positive β-galactosidase activity, and heightened p53 levels. Our results reveal that the expression of known and novel lncRNAs changes with senescence and suggests that SAL-RNAs play direct regulatory roles in this important cellular process. RNA was extracted from both young and senescent WI-38 cells and used for total RNA-Seq.
2016-02-08 | E-GEOD-77675 | biostudies-arrayexpress
Project description:Context: Long non-coding RNAs (lncRNAs) regulate pathological processes, yet their potential roles in papillary thyroid carcinoma (PTC) are poorly understood. Objective: To profile transcriptionally dysregulated lncRNAs in PTC and identify lncRNAs associated with clinicopathological characteristics. We performed RNA sequencing of 12 paired PTC tumors and matched noncancerous tissues and correlated the expression of lncRNAs with clinical parameters.
2016-08-03 | E-GEOD-83520 | biostudies-arrayexpress
Project description:Adipogenesis involves the regulation of hundreds of genes by several well-studied proteins, but the role of long, noncoding RNAs in this process has not been defined. We track the regulation of hundreds of lncRNAs during adipocyte differentiation, and find several that are essential for this process. We profiled knockdown of lncRNAs that are upregulated during mouse adipocyte development We compared adipocytes differentiated in vitro after knockdown of 10 lncRNAs against control adipocytes and pre-adipocytes using Affymetrix expression microarrays. When cultured primary-preadipytes reached 70-80% confluence, we transfected siRNAs against each lincRNA. 24 hours after transfection, cells were recovered in full culture media and grown to confluence for differentiation. Total RNA was collected from control pre-adipocytes (D0) prior to differentation. Four days after recovery, total RNA was collected from each knockdown, a scramble control, and an untransfected control (D4).
2013-02-15 | E-GEOD-29897 | biostudies-arrayexpress
Project description:Noncoding RNAs include small transcripts, such as microRNAs and piwi-interacting RNAs, and a wide range of long noncoding RNAs (lncRNAs). Although many lncRNAs have been identified, only a small number of lncRNAs have been characterized functionally. Here, we sought to identify lncRNAs differentially expressed during replicative senescence. We compared lncRNAs expressed in proliferating, early-passage, 'young' human diploid WI-38 fibroblasts [population doubling (PDL) 20] with those expressed in senescent, late-passage, 'old' fibroblasts (PDL 52) by RNA sequencing (RNA-Seq). Numerous transcripts in all lncRNA groups (antisense lncRNAs, pseudogene-encoded lncRNAs, previously described lncRNAs and novel lncRNAs) were validated using reverse transcription (RT) and real-time, quantitative (q)PCR. Among the novel senescence-associated lncRNAs (SAL-RNAs) showing lower abundance in senescent cells, SAL-RNA1 (XLOC_023166) was found to delay senescence, because reducing SAL-RNA1 levels enhanced the appearance of phenotypic traits of senescence, including an enlarged morphology, positive β-galactosidase activity, and heightened p53 levels. Our results reveal that the expression of known and novel lncRNAs changes with senescence and suggests that SAL-RNAs play direct regulatory roles in this important cellular process.
2016-02-08 | GSE77675 | GEO
Project description:Recent advances in transcriptome sequencing have enabled the discovery of thousands of long non-coding RNAs (lncRNAs) across many species. Though several lncRNAs have been shown to play important roles in diverse biological processes, the functions and mechanisms of most lncRNAs remain unknown. Two significant obstacles lie between transcriptome sequencing and functional characterization of lncRNAs: identifying truly non-coding genes from de novo reconstructed transcriptomes, and prioritizing the hundreds of resulting putative lncRNAs for downstream experimental interrogation. We present slncky, a computational lncRNA discovery tool that produces a high-quality set of lncRNAs from RNA-sequencing data and further uses evolutionary constraint to prioritize lncRNAs that are likely to be functionally important. Our automated filtering pipeline is comparable to manual curation efforts and more sensitive than previously published computational approaches. Furthermore, we develop a sensitive alignment pipeline for aligning lncRNA loci and propose new evolutionary metrics relevant for analyzing sequence and transcript evolution. Our analysis reveals that evolutionary selection acts in several distinct patterns, and uncovers two notable classes of intergenic lncRNAs: one showing strong purifying selection on RNA sequence and another where constraint is restricted to the regulation but not the sequence of the transcript. To study a comprehensive and comparable set of lncRNAs expressed in the pluripotent state, we analyzed RNA-Seq data from pluripotent cells derived from several strains and species, and grown in two physiological conditions. First we derived ânaïveâ ES cells (ESCs) from each of three different mice strains: 129SvEv, NOD, and Mus musculus castaneus (cast) mouse, a wild mouse subspecies originally from Thailand, as well as naïve induced pluripotent stem (iPS) cells from rat and human. Next, to facilitate comparisons across pluripotent cells from different species, we also cultured mouse and rat cells in âprimedâ epiblast stem cell (EpiSC) culture conditions, since human iPS cells in culture are much more similar molecularly and functionally to mouse primed EpiSCs rather than to a ground state naïve ESCs. We polyA selected RNA from each cell type and deeply sequenced on HiSeq2500
2016-01-07 | E-GEOD-64818 | biostudies-arrayexpress