Ontology highlight
ABSTRACT:
PROVIDER: PRJNA640983 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR12065022_1.fastq.gz | Fastqsanger.gz | |||
| SRR12065022_2.fastq.gz | Fastqsanger.gz | |||
| SRR12065023_1.fastq.gz | Fastqsanger.gz | |||
| SRR12065023_2.fastq.gz | Fastqsanger.gz | |||
| SRR12065024_1.fastq.gz | Fastqsanger.gz |
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Project description:We performed single nuclei RNA-sequencing (snRNA-seq) with matched T cell receptor sequencing (TCR-seq), pool matched low pass whole genome sequencing (WGS) and single-cell spatial transcriptomics of 12 treatment-naïve non-small cell lung cancer (NSCLC) primary tumors (PTs) and 31 treatment-naïve NSCLC brain metastases (BMs) . In total, we recovered 277,206 cell transcriptomes in 43 samples. We performed matched spatial sequencing using SlideSeq2 on 14 snRNA-seq samples.
2025-01-17 | GSE223501 | GEO
Project description:In this study, two accessions of Arabidopsis thaliana (Columbia and Landsberg erecta) were crossed and tetrads were obtained using thanks to the the quartet mutation, which keeps the 4 haploid pollen grains from a single meiosis attached together. By fertilising a plant (of ecotype Columbia) with a single tetrad, then selecting seeds from siliques containing exactly four seeds and finally sequencing the 4 developed plants, we can access the complete history of meiotic recombination events occurring in a single male meiosis. Comparison of the genomic sequences (WGS) of the 4 plants in a tetrad makes it possible to identify meiotic COs and NCOS events in each tetrad thanks to the numerous polymorphisms specific to each of the parental genomes. The analysis of the WGS tetrads data consists of genotyping a series of SNV markers (differentiating Columbia and Landsberg) positioned on the five chromosomes for the 4 (M1, M2, M3, M4) individuals of a tetrad, representing the 4 chromatids of each chromosomes. A total of 20 tetrads, the F1 and the two parental accessions Columbia and Landsberg erecta were sequenced.
2024-12-02 | E-MTAB-14435 | biostudies-arrayexpress
Project description:The receptor for advanced glycation end products (RAGE) plays a key role in mammal physiology and in the etiology and progression of inflammatory and oxidative stress-based diseases. In adults, RAGE expression is high only in the lung where the protein concentrates in the basal membrane of Type I alveolar epithelial cells. In diseases, RAGE levels increase in the affected tissues and sustain chronic inflammation. RAGE exists as a single trans-membrane protein with an ectodomain and a short carboxyl-terminal tail essential for signaling, or also as a soluble ectodomain (sRAGE) that acts as a decoy receptor. The ectodomain is composed of a variable and two constant IgG-like domains (V, C1 and C2). VC1 is a single integrated unit responsible for binding of RAGE to the majority of its ligands including the advanced glycation End products (AGEs), S100 proteins and HMGB-1. Here, we report the identification of 20 new RAGE binding partners captured from human plasma and involved in the coagulation and complement processes and in the extracellular matrix. Four proteins contained a -carboxyl glutamic acid (Gla)-domain. Using MicroScale Thermophoresis, we quantified the interaction of prothrombin (PT) with VC1 and with sRAGE. Calcium competed in the binding of PT to sRAGE and PT devoid of the Gla-domain did not bind to sRAGE, providing evidence that the Gla-domain is critical for the interaction. Finally, the presence of VC1 delayed plasma clotting in a dose-dependent manner. We propose that RAGE is involved in modulating blood coagulation presumably in conditions of lung injury.
2020-07-14 | PXD020355 | Pride
Project description:The multi-ligand Receptor for AGE (RAGE) contributes to atherosclerosis in apolipoprotein (ApoE) null mice in both the non-diabetic and diabetic states. Previous studies using soluble RAGE, the extracellular ligand-binding domain of RAGE, or homozygous RAGE null mice showed that blockade or deletion of RAGE resulted in marked reduction in atherosclerotic lesion area and complexity compared to control animals. In parallel, significant down-regulation of inflammatory mediators and matrix metalloproteinases was evident in ApoE null mice aortas devoid of RAGE compared to those of ApoE null RAGE-expressing mice. Although these findings suggested that RAGE triggered pro-atherogenic mechanisms via regulation of inflammatory gene expression, these studies did not reveal the broader pathways by which RAGE contributed to atherosclerosis in ApoE null mice. Therefore, we performed Affymetrix gene expression arrays on aortas of non-diabetic and diabetic ApoE null mice expressing RAGE or devoid of RAGE at nine weeks of age, as this reflected a time point at which frank atherosclerotic lesions were not yet present, but, that we would be able to identify the genes likely involved in diabetes- and RAGE-dependent atherogenesis. The comparisons were as follows: 1. diabetic ApoE null relative to non-diabetic ApoE null; 2. non-diabetic ApoE null / RAGE null relative to non-diabetic ApoE null; 3. diabetic ApoE null / RAGE null relative to non-diabetic ApoE null / RAGE null; and 4. diabetic ApoE null / RAGE null relative to diabetic ApoE null aorta. Our data reveal that there is very little overlap of the genes which are differentially expressed both in the onset of diabetes in ApoE null mice, and in the effect of RAGE deletion in diabetic ApoE null mice. We next performed a Pathway-Express analysis to determine the pathways that were most associated with the onset of diabetes in ApoE null mice and the effect of RAGE gene deletion in diabetic ApoE null mice. Rigorous statistical analysis was undertaken and revealed that the transforming growth factor-beta pathway (tgf-beta) and focal adhesion pathways might be expected to play a significant role in both the mechanism by which diabetes facilitates the formation of atherosclerotic plaques in ApoE null mice, and the mechanism by which deletion of RAGE ameliorates this effect. We focused on three genes of the tgf-betafamily which were found to be up-regulated in diabetic vs. non-diabetic ApoE null aorta, and which were reduced by deletion of RAGE. These included: thrombospondin1 (Thbs1), transforming growth factor-beta (tgf-beta) and rho-associated kinase (ROCK1). Real-time quantitative polymerase chain reaction and Western blotting experiments were performed, as well as ROCK1 activity assays in mouse aorta, and validated the findings of the Affymetrix gene array. Further, confocal microscopy revealed that a principal cell type in the ApoE null aorta expressing these factors was the vascular smooth muscle cell. Our data suggest the novel finding that the observed reduction of accelerated atherosclerosis in diabetic ApoE null / RAGE null vs. diabetic ApoE null mice occurs, all or in part, through the ROCK1 branch of the TGF-betapathway. We have inferred a detailed mechanism for this process. Taken together, these data suggest that suppression of ROCK1 activity in the atherosclerosis-vulnerable vessel wall, especially in diabetes, but in non-diabetes as well, may underlie the beneficial effects of RAGE antagonism and genetic deletion in murine models. These findings highlight logical and novel targets for therapeutic intervention in cardiovascular disease and diabetes. 1. diabetic ApoE null relative to non-diabetic ApoE null; 2. non-diabetic ApoE null / RAGE null relative to non-diabetic ApoE null; 3. diabetic ApoE null / RAGE null relative to non-diabetic ApoE null / RAGE null; and 4. diabetic ApoE null / RAGE null relative to diabetic ApoE null aorta. There were 4 mice in each group initially. However there are only 3 non-diabetic ApoE null / RAGE null mice in the final experimental sample in group 3 due to a failure to generate cRNA from that sample. All samples were normalized to remove chip-dependent regularities using the RMA method. Chips and controls at each combination of genotype and disease sate were normalized together. The statistical significance of differential expression was calculated using the empirical Bayesian LIMMA (LInear Model for MicroArrays) method A cut-off B>0 was used for the statistical significance of gene expression.
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Project description:Dataset containing 7,369,481 variants called across 393 O. rhinoceros and OrNV samples from 16 populations, using the previously published raw sequences generated in 9 different experiments (RAD-Seq, RNA-Seq, WGS).
2023-02-08 | PRJEB59266 | EVA