Six distinct NFκB signaling codons convey discrete information to distinguish stimuli and enable appropriate macrophage responses
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA684151 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR13238671.fastq.gz | Fastqsanger.gz | |||
| SRR13238672.fastq.gz | Fastqsanger.gz | |||
| SRR13238673.fastq.gz | Fastqsanger.gz | |||
| SRR13238674.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 4 of 4 |
Similar Datasets
Project description:Macrophages initiate inflammatory responses via the transcription factor NFκB. The temporal pattern of NFκB activity determines which genes are expressed and thus, the type of response that ensues. Here, we examined how information about the stimulus is encoded in the dynamics of NFκB activity. We generated an mVenus-RelA reporter mouse line to enable high-throughput live-cell analysis of primary macrophages responding to host- and pathogen-derived stimuli. An information-theoretic workflow identified six dynamical features—termed signaling codons—that convey stimulus information to the nucleus. In particular, oscillatory trajectories were a hallmark of responses to cytokine but not pathogen-derived stimuli. Single-cell imaging and RNA sequencing of macrophages from a mouse model of Sjögren’s syndrome revealed inappropriate responses to stimuli, suggestive of confusion of two NFκB signaling codons. Thus, the dynamics of NFκB signaling classify immune threats through six signaling codons, and signal confusion based on defective codon deployment may underlie the etiology of some inflammatory diseases.
2021-02-18 | GSE162992 | GEO
Project description:Macrophages initiate inflammatory responses via the transcription factor NFκB. The temporal pattern of NFκB activity determines which genes are expressed and thus, the type of response that ensues. Here, we examined how information about the stimulus is encoded in the dynamics of NFκB activity. We generated an mVenus-RelA reporter mouse line to enable high-throughput live-cell analysis of primary macrophages responding to host- and pathogen-derived stimuli. An information-theoretic workflow identified six dynamical features-termed signaling codons-that convey stimulus information to the nucleus. In particular, oscillatory trajectories were a hallmark of responses to cytokine but not pathogen-derived stimuli. Single-cell imaging and RNA sequencing of macrophages from a mouse model of Sjögren's syndrome revealed inappropriate responses to stimuli, suggestive of confusion of two NFκB signaling codons. Thus, the dynamics of NFκB signaling classify immune threats through six signaling codons, and signal confusion based on defective codon deployment may underlie the etiology of some inflammatory diseases.
| S-EPMC8184127 | biostudies-literature
Project description:The genetic code that specifies the identity of amino acids incorporated into proteins during protein synthesis is almost universally conserved. Mitochondrial translation deviates from the standard genetic code which includes the reassignment of two arginine codons into stop codons {Jukes, 1993 #438}. Translation termination at these non-canonical stop codons requires a protein factor to release the newly synthesized polypeptide chain, however, the identity of this factor is not known currently{Nadler, 2021 #406}. Here, we used gene editing and ribo-profiling in combination with cryo-electron microscopy to establish that the unusual mitochondrial release factor 1 (mtRF1) detects the non-canonical stop codons. We show that loss of mtRF1 leads to stalling of mitochondrial ribosomes on non-canonical stop codons and consequent reduced translation of cytochrome C oxidase subunit 1 that results in decreased mitochondrial respiration. We show that binding of mtRF1 to the decoding center of the ribosome stabilizes a highly unusual distortion in the mRNA conformation and that the ribosomal RNA importantly participates in the specific recognition of the non-canonical stop codons.
2023-03-21 | GSE216979 | GEO
Project description:Gonadotrophin-releasing hormone (GnRH) significantly inhibits proliferation of a proportion of cancer cell lines by activating GnRH receptor-G protein signaling. Therefore, manipulation of GnRH receptor signaling may have an under-utilized role in treating certain breast and ovarian cancers. However, the precise signaling pathways necessary for the effect and the features of cellular responses remain poorly defined. We used transcriptomic and proteomic profiling approaches to characterize the effects of GnRH receptor activation in sensitive cells (HEK293-GnRHR, SCL60) in in vitro and in vivo settings, compared to unresponsive HEK293. Analyses of gene expression demonstrated a dynamic SCL60 response to the GnRH super-agonist Triptorelin. Early and mid-phase changes (0.5-1.0 h) comprised mainly transcription factors. Later changes (8-24 h) included a GnRH target gene, CGA, and up or down-regulation of transcripts encoding signaling and cell division machinery. Pathway analysis exposed identified altered mitogen-activated protein kinase and cell cycle pathways, consistent with occurrence of G2/M arrest and apoptosis. NFκB pathway gene transcripts were differentially expressed between control and Triptorelin-treated SCL60 cultures. Reverse phase protein and phospho-proteomic array analyses profiled responses in cultured cells and SCL60 xenografts in vivo during Triptorelin anti-proliferation. Increased phosphorylated NFκB (p65) occurred in SCL60 in vitro, and p-NFκB and IκBε were higher in treated xenografts than controls after 4 days Triptorelin. NFκB inhibition enhanced the anti-proliferative effect of Triptorelin in SCL60 cultures. This study reveals details of pathways interacting with intense GnRH receptor signaling, identifies potential anti-proliferative target genes and implicates the NFκB survival pathway as a node for enhancing GnRH agonist-induced anti-proliferation. 55 samples: 35 SCL60 (15 Control, 20 Treated), 20 HEK293 (12 Control, 8 Treated). Samples collected after 0, 0.5, 1, 2, 8 or 24h after treatment with Triptorelin (100nM) or vehicle control (20% Propylene Glycol solution). SCL60 cells are HEK293 cells stably transfected with a high level of functional rat GnRHR.
2012-12-21 | E-GEOD-27467 | biostudies-arrayexpress
Project description:Aging changes global transcriptome including protein-coding and noncoding RNAs. Whether aging dependent lncRNAs undergo conserved regulation and function still remain unknown. We report aging dependent lncRNAs carry signature of evolutionary constraint and significantly enriched for targets of transcription factors and RNA binding proteins. Aging dependent lncRNAs is conservatively under NFκB pathway regulation. CRISPR screening for NFκB pathway found that aging dependent lncRNAs also extensively regulate NFκB pathway. The human LINC02085 is an evolutionary conserved lncRNA that can be traced to 29Mya before human. LINC02085 is induced during aging, inflammation and senescence through NFκB pathway. Reciprocally, LINC02085 directly regulates NFKBIZ in cis within same topological associated domain (TAD). LINC02085 binds to enhancer of NFKBIZ and recruits RELA to the NFKBIZ promoters and participates phase separation. These findings reveal that aging dependent lncRNAs are previously under-appreciated contributors to the evolutionary conservation and regulation of NFκB pathway.
2021-03-08 | GSE167510 | GEO
Project description:Aging changes global transcriptome including protein-coding and noncoding RNAs. Whether aging dependent lncRNAs undergo conserved regulation and function still remain unknown. We report aging dependent lncRNAs carry signature of evolutionary constraint and significantly enriched for targets of transcription factors and RNA binding proteins. Aging dependent lncRNAs is conservatively under NFκB pathway regulation. CRISPR screening for NFκB pathway found that aging dependent lncRNAs also extensively regulate NFκB pathway. The human NFKBMARL-1 is an evolutionary conserved lncRNA that can be traced to 29Mya before human. NFKBMARL-1 is induced during aging, inflammation and senescence through NFκB pathway. Reciprocally, NFKBMARL-1 directly regulates NFKBIZ in cis within same topological associated domain (TAD). NFKBMARL-1 binds to enhancer of NFKBIZ and recruits RELA to the NFKBIZ promoters and participates phase separation. These findings reveal that aging dependent lncRNAs are previously under-appreciated contributors to the evolutionary conservation and regulation of NFκB pathway.
2021-03-08 | GSE167507 | GEO
Project description:Aging changes global transcriptome including protein-coding and noncoding RNAs. Whether aging dependent lncRNAs undergo conserved regulation and function still remain unknown. We report aging dependent lncRNAs carry signature of evolutionary constraint and significantly enriched for targets of transcription factors and RNA binding proteins. Aging dependent lncRNAs is conservatively under NFκB pathway regulation. CRISPR screening for NFκB pathway found that aging dependent lncRNAs also extensively regulate NFκB pathway. The human NFKBMARL-1 is an evolutionary conserved lncRNA that can be traced to 29Mya before human. NFKBMARL-1 is induced during aging, inflammation and senescence through NFκB pathway. Reciprocally, NFKBMARL-1 directly regulates NFKBIZ in cis within same topological associated domain (TAD). NFKBMARL-1 binds to enhancer of NFKBIZ and recruits RELA to the NFKBIZ promoters and participates phase separation. These findings reveal that aging dependent lncRNAs are previously under-appreciated contributors to the evolutionary conservation and regulation of NFκB pathway.
2021-03-08 | GSE167504 | GEO
Project description:The epigenome defines the cell type, but also possesses plasticity to tune gene expression in the context of extracellular cues. This tuning is evident in immune sentinel cells such as macrophages, which respond to pathogens and cytokines with phenotypic shifts driven by epigenomic reprogramming. Recent studies indicate that this reprogramming arises from the activity of transcription factors including nuclear factor kappa-light-chain-enhancer of activated B cells (NFκB). NFκB binds not only to available enhancers but may also produce de novo enhancers in previously silent areas of the genome. Here, we show that NFκB reprograms the macrophage epigenome in a stimulus-specific manner, in response only to a subset of pathogen-derived stimuli. The basis for these surprising differences lies in the stimulus-specific temporal dynamics of NFκB activity. In response to different stimuli, NFκB enters the nucleus with variable speed, amplitude, and duration, and may oscillate between the nucleus and cytoplasm. These dynamical features combine to specify the identity and dose of a given stimulus. We demonstrate through live cell imaging, mathematical modeling, and genetic perturbations that NFκB promotes open chromatin and formation of de novo enhancers most strongly when its dynamics are non-oscillatory. These de novo enhancers result in the activation of additional response genes. We propose a mechanistic paradigm in which the temporal dynamics of transcription factors are a key determinant of their capacity to control epigenomic reprogramming, thus enabling the formation of stimulus-specific memory in innate immune sentinel cells.
2021-01-01 | GSE146068 | GEO
Project description:Tremella fuciformis is a popular edible fungus with fruiting bodies that can be produced in large quantities at low costs, while it is easy to transform and cultivate as yeast. This makes it an attractive potential bioreactor. Enhanced heterologous gene expression through codon optimization would be useful, but until now codon usage preferences in T. fuciformis remain unknown. The only available genome of a species in the genus Tremella was that of Tremella mesenterica. To precisely determine the preferred codon usage of T. fuciformis we sequenced the genome of strain Tr26 resulting in a 24.5 Mb draft genome with 10,040 predicted genes. 3288 of the derived predicted proteins matched the UniProtKB/Swiss-Prot databases with 40% or more similarity. Corresponding gene models of this subset were subsequently optimized trough repetitive comparison of alternative start codons and selection of best length matching gene models. For experimental confirmation of gene models, 96 random clones from an existing T. fuciformis cDNA library were sequenced, generating 80 complete CDSs. Calculated optimal codons (RSCU and RFCU values) for the 3288 predicted and the 80 cloned CDSs were highly similar, indicating sufficient accuracy of predicted gene models for codon usage analysis. T. fuciformis showed a strong preference for C and then G (C+G; 66.4 %) at the third base pair position of used codons, while average GC content of predicted genes was slightly higher (58.5 %) than he total genome sequence average (55.9%). Most frequently used codons (optimal codons) all ended in C or G except for one (Ter; AGU), and an increased frequency of C ending codons was observed in genes with higher expression levels. Surprisingly, the preferred codon usage in T. fuciformis strongly differed from T. mesenterica (same genus) and C. neoformans (same family). Instead, optimal codon usage was similar to more distant related species such as Ustilago maydis and Neurospora crassa. Despite much higher overall sequence homology between T. fuciformis and T. mesenterica only 7 out of 21 optimal codons were equal, whereas T. fuciformis shared up to 20 out 21 optimal codons with other species. Clearly, codon usage in Tremella can differ largely and should be estimated for individual species. The precise identification of optimal and high expression related codons is therefore an important step in the development of T. fuciformis as a bioreactor system. Using the Total RNA was extracted from yeast-like cells of T. fuciformis Tr21 in their exponential growth stage, and double-stranded cDNA was synthesized for tag library construction and digital gene expression tag (DGE) sequencing at BGI Tech Solutions Co., Ltd (Shenzhen, China). Image analysis, base calling, extraction of tags, and tag counting were conducted using the Illumina pipeline. Clean tags were mapped to predicted gene models of the draft genome with a mismatch tolerance of 1bp. The number of tags for each CDS was calculated and then normalized to TPM (number of transcripts per million clean tags) digital gene expression (DGE)
2015-04-20 | E-GEOD-68023 | biostudies-arrayexpress
Project description:KDM5C safeguards the appropriate timing of early neurodevelopment
| PRJEB63264 | ENA