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  • 1
    Online Resource
    Online Resource
    Proceedings of the National Academy of Sciences ; 2019
    In:  Proceedings of the National Academy of Sciences Vol. 116, No. 18 ( 2019-04-30), p. 9078-9083
    In: Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, Vol. 116, No. 18 ( 2019-04-30), p. 9078-9083
    Abstract: Major depressive disorder (MDD) is common and disabling, but its neuropathophysiology remains unclear. Most studies of functional brain networks in MDD have had limited statistical power and data analysis approaches have varied widely. The REST-meta-MDD Project of resting-state fMRI (R-fMRI) addresses these issues. Twenty-five research groups in China established the REST-meta-MDD Consortium by contributing R-fMRI data from 1,300 patients with MDD and 1,128 normal controls (NCs). Data were preprocessed locally with a standardized protocol before aggregated group analyses. We focused on functional connectivity (FC) within the default mode network (DMN), frequently reported to be increased in MDD. Instead, we found decreased DMN FC when we compared 848 patients with MDD to 794 NCs from 17 sites after data exclusion. We found FC reduction only in recurrent MDD, not in first-episode drug-naïve MDD. Decreased DMN FC was associated with medication usage but not with MDD duration. DMN FC was also positively related to symptom severity but only in recurrent MDD. Exploratory analyses also revealed alterations in FC of visual, sensory-motor, and dorsal attention networks in MDD. We confirmed the key role of DMN in MDD but found reduced rather than increased FC within the DMN. Future studies should test whether decreased DMN FC mediates response to treatment. All R-fMRI indices of data contributed by the REST-meta-MDD consortium are being shared publicly via the R-fMRI Maps Project.
    Type of Medium: Online Resource
    ISSN: 0027-8424 , 1091-6490
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    Language: English
    Publisher: Proceedings of the National Academy of Sciences
    Publication Date: 2019
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  • 2
    In: Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, Vol. 119, No. 15 ( 2022-04-12)
    Abstract: Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forecasting models provide specific, quantitative, and evaluable predictions that inform short-term decisions such as healthcare staffing needs, school closures, and allocation of medical supplies. Starting in April 2020, the US COVID-19 Forecast Hub ( https://covid19forecasthub.org/ ) collected, disseminated, and synthesized tens of millions of specific predictions from more than 90 different academic, industry, and independent research groups. A multimodel ensemble forecast that combined predictions from dozens of groups every week provided the most consistently accurate probabilistic forecasts of incident deaths due to COVID-19 at the state and national level from April 2020 through October 2021. The performance of 27 individual models that submitted complete forecasts of COVID-19 deaths consistently throughout this year showed high variability in forecast skill across time, geospatial units, and forecast horizons. Two-thirds of the models evaluated showed better accuracy than a naïve baseline model. Forecast accuracy degraded as models made predictions further into the future, with probabilistic error at a 20-wk horizon three to five times larger than when predicting at a 1-wk horizon. This project underscores the role that collaboration and active coordination between governmental public-health agencies, academic modeling teams, and industry partners can play in developing modern modeling capabilities to support local, state, and federal response to outbreaks.
    Type of Medium: Online Resource
    ISSN: 0027-8424 , 1091-6490
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    Language: English
    Publisher: Proceedings of the National Academy of Sciences
    Publication Date: 2022
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  • 3
    In: Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, Vol. 121, No. 18 ( 2024-04-30)
    Abstract: Congenital scoliosis (CS), affecting approximately 0.5 to 1 in 1,000 live births, is commonly caused by congenital vertebral malformations (CVMs) arising from aberrant somitogenesis or somite differentiation. While Wnt/ß-catenin signaling has been implicated in somite development, the function of Wnt/planar cell polarity (Wnt/PCP) signaling in this process remains unclear. Here, we investigated the role of Vangl1 and Vangl2 in vertebral development and found that their deletion causes vertebral anomalies resembling human CVMs. Analysis of exome sequencing data from multiethnic CS patients revealed a number of rare and deleterious variants in VANGL1 and VANGL2 , many of which exhibited loss-of-function and dominant-negative effects. Zebrafish models confirmed the pathogenicity of these variants. Furthermore, we found that Vangl1 knock-in (p.R258H) mice exhibited vertebral malformations in a Vangl gene dose- and environment-dependent manner. Our findings highlight critical roles for PCP signaling in vertebral development and predisposition to CVMs in CS patients, providing insights into the molecular mechanisms underlying this disorder.
    Type of Medium: Online Resource
    ISSN: 0027-8424 , 1091-6490
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    Language: English
    Publisher: Proceedings of the National Academy of Sciences
    Publication Date: 2024
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  • 4
    In: Science, American Association for the Advancement of Science (AAAS), Vol. 375, No. 6584 ( 2022-03-04)
    Abstract: Drosophila melanogaster has had a fruitful history in biological research because it has contributed to many key discoveries in genetics, development, and neurobiology. The fruit fly genome contains ~14,000 protein-coding genes, ~63% of which have human orthologs. Single-cell RNA-sequencing has recently been applied to multiple Drosophila tissues and developmental stages. However, these data have been generated by different laboratories on different genetic backgrounds with different dissociation protocols and sequencing platforms, which has hindered the systematic comparison of gene expression across cells and tissues. RATIONALE We aimed to establish a cell atlas for the entire adult Drosophila with the same genetic background, dissociation protocol, and sequencing platform to (i) obtain a comprehensive categorization of cell types, (ii) integrate single-cell transcriptome data with existing knowledge about gene expression and cell types, (iii) systematically compare gene expression across the entire organism and between males and females, and (iv) identify cell type–specific markers across the entire organism. We chose single-nucleus RNA-sequencing (snRNA-seq) to circumvent the difficulties of dissociating cells that are embedded in the cuticle (e.g., sensory neurons) or that are multinucleated (e.g., muscle cells). We took two complementary strategies: sequencing nuclei from dissected tissues to know the identity of the tissue source and sequencing nuclei from the entire head and body to ensure that all cells are sampled. Experts from 40 laboratories participated in crowd annotation to assign transcriptomic cell types with the best knowledge available. RESULTS We sequenced 570,000 cells using droplet-based 10x Genomics from 15 dissected tissues as well as whole heads and bodies, separately in females and males. We also sequenced 10,000 cells from dissected tissues using the plate-based Smart-seq2 platform, providing deeper coverage per cell. We developed reproducible analysis pipelines using NextFlow and implemented a distributed cell-type annotation system with controlled vocabularies in SCope. Crowd-based annotations of transcriptomes from dissected tissues identified 17 main cell categories and 251 detailed cell types linked to FlyBase ontologies. Many of these cell types are characterized for the first time, either because they emerged only after increasing cell coverage or because they reside in tissues that had not been previously subjected to scRNA-seq. The excellent correspondence of transcriptomic clusters from whole body and dissected tissues allowed us to transfer annotations and identify a few cuticular cell types not detected in individual tissues. Cross-tissue analysis revealed location-specific subdivisions of muscle cells and heterogeneity within blood cells. We then determined cell type–specific marker genes and transcription factors with different specificity levels, enabling the construction of gene regulatory networks. Finally, we explored sexual dimorphism, finding a link between sex-biased expression and the presence of doublesex , and investigated tissue dynamics through trajectory analyses. CONCLUSION Our Fly Cell Atlas (FCA) constitutes a valuable resource for the Drosophila community as a reference for studies of gene function at single-cell resolution. All the FCA data are freely available for further analysis through multiple portals and can be downloaded for custom analyses using other single-cell tools. The ability to annotate cell types by sequencing the entire head and body will facilitate the use of Drosophila in the study of biological processes and in modeling human diseases at a whole-organism level with cell-type resolution. All data with annotations can be accessed from www.flycellatlas.org , which provides links to SCope, ASAP, and cellxgene portals. Tabula Drosophilae . In this single-cell atlas of the adult fruit fly, 580,000 cells were sequenced and 〉 250 cell types were annotated. They are from 15 individually dissected sexed tissues as well as the entire head and body. All data are freely available for visualization and download, with featured analyses shown at the bottom right.
    Type of Medium: Online Resource
    ISSN: 0036-8075 , 1095-9203
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    Language: English
    Publisher: American Association for the Advancement of Science (AAAS)
    Publication Date: 2022
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  • 5
    Online Resource
    Online Resource
    American Association for the Advancement of Science (AAAS) ; 2023
    In:  Science Vol. 379, No. 6638 ( 2023-03-24)
    In: Science, American Association for the Advancement of Science (AAAS), Vol. 379, No. 6638 ( 2023-03-24)
    Abstract: According to the Food and Agriculture Organization (FAO), there are currently 〉 1 billion ha of land affected by salt. Among these, ~60% are classified as sodic soil areas. These have high pH and are dominated by sodium bicarbonate (NaHCO 3 ) and sodium carbonate (Na 2 CO 3 ). The effects of global warming and a lack of fresh water will lead to 〉 50% of arable land becoming affected by salt by 2050, thus severely affecting the world’s food security. Identifying and/or engineering sodic-tolerant crops is imperative to solve this challenge. Although salinity tolerance has been studied extensively, alkalinity tolerance in plants has not been studied in depth. RATIONALE Sorghum originates from Africa, where it can grow in harsh environments. As a result, sorghum has evolved greater tolerance to adapt to multiple abiotic stresses compared with other crops. Some sorghum varieties can survive in sodic soil with a pH as high as 10.0. A genome-wide association study (GWAS) analysis was performed with a large sorghum association panel consisting of 352 representative sorghum accessions. We detected a major locus, Alkaline tolerance 1 ( AT1 ), linked to alkaline tolerance. We found that AT1 , encoding an atypical G protein γ subunit (a homolog to rice GS3 ), contributes to alkaline sensitivity by modulating the efflux of hydrogen peroxide (H 2 O 2 ) under environmental stress. RESULTS On the basis of the results of the GWAS analysis, we sequenced the cDNA regions of SbAT1 ( Sorghum bicolor AT1 ) in 37 sorghum accessions with different degrees of alkaline sensitivity. Two typical haplotypes (Hap1 and Hap2) of SbAT1 were identified according to the five leading variant sites associated with sorghum alkali sensitivity. Hap1 encodes an intact SbAT1. A frame shift mutation (from “G” to “GGTGGC”) within Hap2 results in a premature stop codon probably encoding a truncated protein with only 136 amino acids at the N terminus (named Sbat1 ). To confirm the function of the AT1 locus, we generated a pair of near-isogenic lines (NILs) with two AT1 haplotypes to assess the allelic effect of AT1 on sorghum tolerance to alkali. We found that the Sbat1 allele (Hap2), encoding a truncated form of SbAT1, increased plant alkaline sensitivity compared with wild-type full-length SbAT1 (Hap1). Overexpression of AT1/GS3 reduced alkaline tolerance in sorghum and rice, and overexpression of the C-terminal truncated AT1/GS3 showed a more severe alkaline sensitive response. This was confirmed in millet and rice, which suggests that AT1/GS3 functions negatively in plant alkali tolerance. By contrast, knockout (ko) of AT1/GS3 increased tolerance to alkaline stress in sorghum, millet, rice, and maize, which indicates a conserved pathway in monocot crops. By immunoprecipitation in combination with mass spectrometry (IP-MS), we found that AT1/GS3 interacts with aquaporin PIP2s that are involved in reactive oxygen species (ROS) homeostasis. Genetic analysis showed that OsPIP2;1 ko /2;2 ko had lower alkaline tolerance than their wild-type control. The redox probe Cyto-roGFP2-Orp1 sensing H 2 O 2 in the cytoplasm was applied. The results showed that, upon alkaline treatment, the relative H 2 O 2 level increased in OsPIP2;1 ko /2;2 ko compared with wild-type plants. These results suggested that the phosphorylation of aquaporins could modulate the efflux of H 2 O 2 . Gγ negatively regulates the phosphorylation of PIP2;1, leading to elevated ROS levels in plants under alkaline stress. To assess the application of the AT1/GS3 gene for crop production, field tests were carried out. We found that the nonfunctional mutant, either obtained from natural varieties or generated by gene editing in several monocots, including sorghum, millet, rice, and maize, can improve the field performance of crops in terms of biomass or grain production when cultivated on sodic lands. CONCLUSION We concluded that SbAT1 encodes an atypical G protein γ subunit and inhibits the phosphorylation of aquaporins that may be used as H 2 O 2 exporters under alkaline stress. With this knowledge, genetically engineered crops with knockouts of AT1 homologs or use of natural nonfunctional alleles could greatly improve crop yield in sodic lands. This may contribute to maximizing the use of global sodic lands to ensure food security. Genetic modification of AT1 enhances alkaline stress tolerance. The Gγ subunit, AT1, pairs with Gβ to negatively modulate the phosphorylation level of PIP2 aquaporins. Thus, AT1 reduces the H 2 O 2 export activity of PIP2s, leading to the overaccumulation of H 2 O 2 and resulting in alkaline stress sensitivity. By contrast, the artificial or natural knockouts of AT1 homologs release the inhibition of PIP2s by AT1 in crops and have improved survival rates and yield under alkaline stress. [Figure created using BioRender]
    Type of Medium: Online Resource
    ISSN: 0036-8075 , 1095-9203
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    Language: English
    Publisher: American Association for the Advancement of Science (AAAS)
    Publication Date: 2023
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  • 6
    In: Science, American Association for the Advancement of Science (AAAS), Vol. 338, No. 6114 ( 2012-12-21), p. 1569-1575
    Abstract: The Higgs boson was postulated nearly five decades ago within the framework of the standard model of particle physics and has been the subject of numerous searches at accelerators around the world. Its discovery would verify the existence of a complex scalar field thought to give mass to three of the carriers of the electroweak force—the W + , W – , and Z 0 bosons—as well as to the fundamental quarks and leptons. The CMS Collaboration has observed, with a statistical significance of five standard deviations, a new particle produced in proton-proton collisions at the Large Hadron Collider at CERN. The evidence is strongest in the diphoton and four-lepton (electrons and/or muons) final states, which provide the best mass resolution in the CMS detector. The probability of the observed signal being due to a random fluctuation of the background is about 1 in 3 × 10 6 . The new particle is a boson with spin not equal to 1 and has a mass of about 125 giga–electron volts. Although its measured properties are, within the uncertainties of the present data, consistent with those expected of the Higgs boson, more data are needed to elucidate the precise nature of the new particle.
    Type of Medium: Online Resource
    ISSN: 0036-8075 , 1095-9203
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    Language: English
    Publisher: American Association for the Advancement of Science (AAAS)
    Publication Date: 2012
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  • 7
    In: Brain, Oxford University Press (OUP), Vol. 146, No. 8 ( 2023-08-01), p. 3347-3363
    Abstract: Recurrent proximal 16p11.2 deletion (16p11.2del) is a risk factor for diverse neurodevelopmental disorders with incomplete penetrance and variable expressivity. Although investigation with human induced pluripotent stem cell models has confirmed disruption of neuronal development in 16p11.2del neuronal cells, which genes are responsible for abnormal cellular phenotypes and what determines the penetrance of neurodevelopmental abnormalities are unknown. We performed haplotype phasing of the 16p11.2 region in a 16p11.2del neurodevelopmental disorders cohort and generated human induced pluripotent stem cells for two 16p11.2del families with distinct residual haplotypes and variable neurodevelopmental disorder phenotypes. Using transcriptomic profiles and cellular phenotypes of the human induced pluripotent stem cell-differentiated cortex neuronal cells, we revealed MAPK3 to be a contributor to dysfunction in multiple pathways related to early neuronal development, with altered soma and electrophysiological properties in mature neuronal cells. Notably, MAPK3 expression in 16p11.2del neuronal cells varied on the basis of a 132 kb 58 single nucleotide polymorphism (SNP) residual haplotype, with the version composed entirely of minor alleles associated with reduced MAPK3 expression. Ten SNPs on the residual haplotype were mapped to enhancers of MAPK3. We functionally validated six of these SNPs by luciferase assay, implicating them in the residual haplotype-specific differences in MAPK3 expression via cis-regulation. Finally, the analysis of three different cohorts of 16p11.2del subjects showed that this minor residual haplotype is associated with neurodevelopmental disorder phenotypes in 16p11.2del carriers.
    Type of Medium: Online Resource
    ISSN: 0006-8950 , 1460-2156
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    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
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  • 8
    In: Nature Neuroscience, Springer Science and Business Media LLC, Vol. 21, No. 12 ( 2018-12), p. 1689-1703
    Type of Medium: Online Resource
    ISSN: 1097-6256 , 1546-1726
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2018
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  • 9
    Online Resource
    Online Resource
    Proceedings of the National Academy of Sciences ; 2023
    In:  Proceedings of the National Academy of Sciences Vol. 120, No. 13 ( 2023-03-28)
    In: Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, Vol. 120, No. 13 ( 2023-03-28)
    Abstract: Rewiring of redox metabolism has a profound impact on tumor development, but how the cellular heterogeneity of redox balance affects leukemogenesis remains unknown. To precisely characterize the dynamic change in redox metabolism in vivo, we developed a bright genetically encoded biosensor for H 2 O 2 (named HyPerion) and tracked the redox state of leukemic cells in situ in a transgenic sensor mouse. A H 2 O 2 -low (HyPerion-low) subset of acute myeloid leukemia (AML) cells was enriched with leukemia-initiating cells, which were endowed with high colony-forming ability, potent drug resistance, endosteal rather than vascular localization, and short survival. Significantly high expression of malic enzymes, including ME1/3, accounted for nicotinamide adenine dinucleotide phosphate (NADPH) production and the subsequent low abundance of H 2 O 2 . Deletion of malic enzymes decreased the population size of leukemia-initiating cells and impaired their leukemogenic capacity and drug resistance. In summary, by establishing an in vivo redox monitoring tool at single-cell resolution, this work reveals a critical role of redox metabolism in leukemogenesis and a potential therapeutic target.
    Type of Medium: Online Resource
    ISSN: 0027-8424 , 1091-6490
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    Language: English
    Publisher: Proceedings of the National Academy of Sciences
    Publication Date: 2023
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  • 10
    In: Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, Vol. 119, No. 16 ( 2022-04-19)
    Abstract: Metastasis contributes to the dismal prognosis of bladder cancer (BLCA). The mechanical status of the cell membrane is expected to mirror the ability of cell migration to promote cancer metastasis. However, the mechanical characteristics and underlying molecular profile associated with BLCA metastasis remain obscure. To study the unique cellular architecture and traits associated with cell migration, using a process called cell-based systematic evolution of ligands by exponential enrichment (cell-SELEX) we generated an aptamer-based molecular probe, termed spl3c, which identified cytoskeleton-associated protein 4 (CKAP4). CKAP4 was associated with tumor metastasis in BLCA, but we also found it to be a mechanical regulator of BLCA cells through the maintenance of a central-to-peripheral gradient of stiffness on the cell membrane. Notably, such mechanical traits were transportable through exosome-mediated intercellular CKAP4 trafficking, leading to significant enhancement of migration in recipient cells and, consequently, aggravating metastatic potential in vivo. Taken together, our study shows the robustness of this aptamer-based molecular tool for biomarker discovery, revealing the dominance of a CKAP4-induced central-to-peripheral gradient of membrane stiffness that benefits cell migration and delineating the role of exosomes in mediating mechanical signaling in BLCA metastasis.
    Type of Medium: Online Resource
    ISSN: 0027-8424 , 1091-6490
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    Language: English
    Publisher: Proceedings of the National Academy of Sciences
    Publication Date: 2022
    detail.hit.zdb_id: 209104-5
    detail.hit.zdb_id: 1461794-8
    SSG: 11
    SSG: 12
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