Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA383121 | ENA |
REPOSITORIES: ENA
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Project description:Self-organized cerebral organoids with human specific features predict effective drugs to combat Zika virus infection
| PRJNA412223 | ENA
Project description:Self-organized cerebral organoids with human specific features predict effective drugs to combat Zika virus infection [RNA-seq]
| PRJNA383338 | ENA
Project description:Zika virus (ZIKV) is a mosquito-transmitted positive-sense RNA virus in the family Flaviviridae. Live attenuated vaccines have been successfully used to combat infection by flaviviruses, such as yellow fever and Japanese encephalitis viruses. A Zika virus harboring combined mutations in the envelope protein glycosylation site and in the nonstructural 4B protein amino acid 36 (ZE4B-36) was generated and assessed for stability, attenuation, and protection against infection. To determine the genetic stability of its RNA genome, ZE4B-36 was serially passaged in vitro in Vero cells. Virus harvested from passages (P)1 to P6 was subjected to next generation sequencing and downstream analysis to determine its nucleotide sequence variability. Specifically, single nucleotide variant analysis showed that the ZE4B-36 genome decreased its genetic diversity and resulted in a more stable nucleotide sequence. Thus, in addition to showing attenuation and protection, ZE4B-36 is a stable live attenuated virus that possesses characteristics important for a vaccine to combat Zika disease.
2021-12-31 | E-MTAB-9496 | biostudies-arrayexpress
Project description:In this study, we show that CD27+ memory like NK cells generated following Zika virus infection exhibited stem-like features viz., self-renewal pathway, differentiation into effector cells and longer telomeres, and greater therapeutic potential than CD27- and naive CD27+ NK cells when adoptively transferred to Zika virus infected mice. In addition, epigenetic landscape of CD27+ memory like NK is markedly different compared to CD27- NK cells.
2020-12-11 | GSE148780 | GEO
Project description:<p>The rise in global antibiotic resistance highlights the urgent need for effective antimicrobial agents. Antimicrobial peptides (AMPs) offer a potential solution to combat bacterial resistance. However, key challenges remain in addressing the limitations of current peptide drugs and biomaterials, such as narrow action modes, poor protease stability, and challenges in pathogen-specific targeting. This study introduces a series of multifunctional AMPs by integrating self-assembling systems. By regulating the length of cationic amino acid side chains, the optimized peptide Nhar was identified as a triple-functional candidate with the potential to solve these limitations. In aqueous solutions, Nhar self-assembles into nanofibers that trap pathogens, prevent their spread, and selectively kill Gram-positive bacteria. Nhar demonstrates remarkable protease resistance, retaining antimicrobial activity even under 10 mg/mL protease conditions. It induces bacterial death primarily through membrane disruption and multiple synergistic mechanisms. In a Staphylococcus aureus induced mouse bacteremia model, Nhar showed promising therapeutic potential. This work offer important insights for developing multifunctional antimicrobial therapies.</p>
2025-06-13 | MTBLS12424 | MetaboLights
Project description:The structural diversity of glycans on cells – the glycome – is vast and complex to decipher. Glycan arrays have played a pivotal role in exploring the informational content of glycans. Current glycan arrays display oligosaccharides generated by chemical and chemoenzymatic synthesis or isolated from biological sources and are used to report glycan hapten binding epitopes. Glycan arrays are limited resources, produced through considerable efforts, and they display individual saccharides without the natural context of other glycans and glycoconjugates at the cell surface. We usedmaps of glycosylation pathways to generate a library of isogenic HEK293 cells with combinatorially engineered glycosylation capacities designed to display and dissect the genetic, biosynthetic and structural basis for glycan binding epitopes in a natural context. This expandable and self-renewable cell-based glycan array reports glycosyltransferase genes required (or blocking) for interactions through logic sequential biosynthetic steps, which not only predicts essential structural features of involved glycans including the glycoconjugate context, but importantly provides instructions for enzymatic synthesis, recombinant production, and genetic strategies to dissect biological functions. The broad utility of this cell-based glycan array and its comprehensive read-out is demonstrated by dissecting glycan-binding specificities of microbial adhesins, and the discovery power is demonstrated by uncovering higher order binding of microbial adhesins to clustered patches of O-glycans organized by their presentation on proteins.
2019-06-24 | PXD013676 | Pride
Project description:Introduction: Cerebral small vessel disease (SVD), manifesting as white matter hyperintensities (WMH), lacunar infarctions, and cerebral microbleeds on MRI, has been linked to epigenetic alterations. Methods: Genome-wide promoter methylation was profiled using the Infinium MethylationEPIC v2.0 array in peripheral inflammatory cells from 16 patients without SVD and 16 patients with all three imaging features. Results: EPIC profiling identified 17 promoter regions with significant differences between groups, and CDH7 hypomethylation emerged as an independent predictor of SVD imaging features. Conclusion: CDH7 hypomethylation was identified and validated as an epigenetic marker predictive of MRI-defined SVD imaging features.
2026-04-01 | GSE318387 | GEO
Project description:Reconstitution of a neurovascular unit model with blood-brain barrier (BBB) function is of great importance for drug development targeting cerebral diseases and study of brain disease mechanisms. In this study, we describe a human neurovascular unit chip designed by reconstituting necessary cellular and extracellular components in microfluidic devices. Dynamic three-dimensional co-culture of human cells (neural stem cells, brain microvascular endothelial cells, and brain vascular pericytes) in microfluidics with a stepwise unidirectional flow successfully established the chip with BBB-mimetic structural and functional features to be an effective barrier for drugs and cytokines. Furthermore, we showed the utility of the chip by modeling the neurotropic behaviors and BBB penetration process of a global fungal meningitis pathogen, Cryptococcus neoformans. This chip is the first in vitro experimental model for monitoring neurotropism of C. neoformans and would contribute to the investigation of various cerebral disorders, including microbial infectious diseases and their corresponding drug development.
2021-04-13 | GSE171937 | GEO
Project description:Cerebral organoids, three-dimensional cultures that model organogenesis, provide a new platform to investigate human brain development. High cost, variability and tissue heterogeneity limit accessibility and broad applications of current organoid technologies. Here we developed a miniaturized spinning bioreactor (SpinΩ) to generate forebrain-specific organoids from human iPSCs. These organoids recapitulate key features of human cortical development, including progenitor zone organization, neurogenesis, gene expression, and importantly, a distinct human-specific outer radial glia cell layer. We have also developed protocols to generate midbrain and hypothalamic organoids. Finally, we employed this forebrain organoid platform to model Zika virus (ZIKV) exposure. Quantitative analyses revealed that preferential, productive ZIKA infection of cortical neural progenitors leads to increased cell death and reduced proliferation, resulting in decreased neuronal cell layer volume that resembles microcephaly. Together, our brain region-specific organoids and SpinΩ provide an accessible and versatile platform for modeling human brain development and diseases, and for compound testing.
2016-04-22 | GSE80073 | GEO
Project description:Machine learning analysis of the T cell receptor repertoire identifies sequence features that predict self-reactivity
| PRJNA915397 | ENA