Similar Datasets
Project description:Dengue virus infection is recognized as one of the most important mosquitos borne human diseases of the 21st century. It can manifest clinically as a moderate febrile illness, or a severe life-threatening disease called dengue haemorrhagic fever. Notably, there are currently no predictive diagnostic values for individuals prone to bleeding manifestations associated with this infection. This study explores the potential solution by focusing on exosomes, lipid vesicles enriched in specific microRNA. These exosomal microRNAs have the potential to form a disease-specific diagnostic signature, paving the way for an analysis of exosomal plasma microRNA expression to predict bleeding tendency in dengue infection. In total, 6 blood plasma exosome samples, dengue without warning sign (n = 3) and dengue with warning sign (n = 3) were used to isolate total RNA. Small RNA analysis and microarray-based expression profiling was used to detect the miRNA profile of plasma exosomes to identify predictive biomarker for bleeding manifestations in patients with warning sign as compared to patients without warning signs. Microarray profiling revealed that 24 miRNAs were upregulated in the plasma derived exosome miRNA in the dengue patients with warning signs. Functional analysis of target genes of these miRNAs in silico indicated their involvement in bleeding manifestation in dengue infection.
2025-09-12 | GSE307678 | GEO
Project description:WARNING: This library was yield low amount of material and it was over-amplified by PCR. This libraries are used study the robustness of several statitical methods against PCR artifacts. ChIP experiments were performed on Arabidopsis wildtype inflorescences using an antibody raised against a C-terminal peptide of SEP3. Soap files are in the archive E-MTAB-587.additional.zip
2011-04-27 | E-MTAB-587 | biostudies-arrayexpress
Project description:Dynamical network biomarker (DNB) theory has emerged as a powerful framework for detecting early warning signals of pre-disease states. Based on our previous work demonstrating its utility in adipose tissue of metabolic syndrome model mice, we conducted a comprehensive DNB analysis using RNA sequencing data across 13 organs and 14 to 16 time points in high-fat diet-fed mice. Our findings revealed organ-specific variation in the timing of early warning signals, suggesting heterogeneous inter-organ dynamics during the pre-disease state of metabolic syndrome. These results highlight the potential of DNB theory for elucidating systemic early-stage pathophysiology in complex metabolic disorders.
2025-08-23 | GSE305719 | GEO
Project description:Olink Explore 1536 dataset from serum of patients enrolled in the COVACTA trial. This dataset includes QC warning flag provided by Olink.
| EGAD00001011167 | EGA
Project description:According to the WHO 2009 classification, dengue with warning signs (D+W) is at the risk of developing severe form of dengue disease. One of the most important warning signs is plasma leakage, which is a serious complication associated with higher morbidity and mortality. We report that the frequency of CD4+CD8+ double-positive (DP) T cells is significantly increased in patients at risk of developing plasma leakage. Transcriptomic analysis demonstrated that CD4+CD8+ DP cells were distinct from CD4+ Single Positive (SP) T cells, but co-clustered with CD8+ SP cells indicating a largely similar transcriptional profile. 20 significant differentially expressed (DE) genes were identified between CD4+CD8+ DP and CD8+ SP cells. These genes encode OX40 and CCR4 (TNFRSF4 and CCR4), as well as other molecules associated with cell signaling on the cell surface (NT5E, MXRA8, PTPRK). While 5 significant DE genes were identified, the profile of gene expression in CD4+CD8+ DP cells was mostly similar between patients with and without warning signs of plasma leakage, implying a role of CD4+CD8+ DP cells in plasma leakage through a quantitative increase rather than functional alteration. The differentially expressed genes identified could have diagnostic utility, perhaps as PCR-based diagnostic markers.
2021-06-16 | GSE178240 | GEO
Project description:Comparison of gene expression between T regulatory and T effector cells isolated from the pancreatic lesion of 3-4 wk old BDC2.5 tg NOD mice. WARNING: These data files were obtained from GSM155557.CEL and GSM23405.CEL may be identical.
2007-09-29 | E-GEOD-1419 | biostudies-arrayexpress
Project description:Aposematism and warning coloration are common defense strategies used by animals to deter predators. Pestilential gregarious locusts display a striking black-brown pattern, which is presumed to be a form of warning coloration compared to green solitary locusts. However, the specific mechanisms involved in regulating this distinctive pattern are not yet understood. Here, we found that different amounts of β-carotene and β-carotene-binding protein (βCBP) complexes confer the black tergum and brown sternum of locust. The expression level of βCBP is regulated by the bZIP transcription factor ATF2, which is activated by protein kinase C alpha (PKCα) in response to crowding. Specifically, ATF2 is phosphorylated at Ser327 and translocates to the nucleus, where it binds to specific sites on the βCBP promoter and stimulates overexpression. Differential phosphorylation of ATF2 resulted in the divergent black and brown body coloration of gregarious locusts. The overexpression of βCBP in the sternum is essential for the accumulation of red pigments, which creates the sharp contrast between the black tergum and the brown sternum. This spatial variation in ATF2 phosphorylation levels allows locusts to adapt to changing environmental conditions and better evade predation.
2023-08-24 | PXD042860 | Pride
Project description:Shotgun sequencing of sleeping sickness patient blood. WARNING: these results cannot be compared with those from trypanosome poly(A)+ mRNA, because the poly(A) selection introduces substantial bias, including loss of long mRNAs. Details will appear in the publication. These are additional sequencing runs that match some from E-MTAB-5293
2018-06-18 | E-MTAB-5614 | biostudies-arrayexpress
Project description:Plant defence against insects is well known to be affected by previous exposure to cues warning of herbivory. Using Arabidopsis thaliana and the herbivore Pieris brassicae, we addressed the question whether the maintenance of the effects of the warning cue depends on its reliability. We determined the transcriptomes of Arabidopsis leaves that were treated by P. brassicae egg deposition (i) five days after oviposition, (ii) one day after removal of the eggs following the egg treatment, (iii) three days after removal of the eggs, (iv) after two days of herbivory that started one day after removal of the eggs; or that were treated by chilling (v) five days after transfer to 4°C, (vi) one day after transfering the plants to 20°C following the chilling treatment, (vii) three days after transfering the plants to 20°C, (viii) after two days of herbivory that started one day after transfering the plants to 20°C.
2016-06-23 | GSE69623 | GEO
Project description:The development of predictive markers to determine the tipping point prior to the onset of osteoporosis is essential to mitigate further irrevocable deterioration. In order to determine the early warning signs before osteoporosis, we used the dynamic network biomarker (DNB) approach to analyze the time series gene expression data in the zebrafish osteoporosis model and revealed that cyclin-dependent kinase inhibitor 1A (cdkn1a) is one core member of DNB. We demonstrated that cdkn1a negatively regulates osteogenesis, evidenced by the loss-of-function and gain-of-function studies. On one hand, CRISPR/Cas9-mediated cdkn1a knockout in the zebrafish significantly altered skeletal development and increased bone mineralization. On the other hand, inducible cdkn1a expression significantly contributed to the osteoclast differentiation. We also provide mechanistic clues that cdkn1a participates in osteoclast differentiation by regulating its upstream signaling cascades. Our data provided new insights into the dynamic nature of osteoporosis, and identified cdkn1a as the early-warning signals of osteoporosis onset.
2023-01-01 | GSE194301 | GEO