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  • American Association for the Advancement of Science (AAAS)  (282)
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  • American Association for the Advancement of Science (AAAS)  (282)
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  • English  (282)
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  • 1
    Online Resource
    Online Resource
    American Association for the Advancement of Science (AAAS) ; 2021
    In:  Science Vol. 373, No. 6553 ( 2021-07-23), p. 425-430
    In: Science, American Association for the Advancement of Science (AAAS), Vol. 373, No. 6553 ( 2021-07-23), p. 425-430
    Abstract: The Crab Nebula is a bright source of gamma rays powered by the Crab Pulsar’s rotational energy through the formation and termination of a relativistic electron-positron wind. We report the detection of gamma rays from this source with energies from 5 × 10 −4 to 1.1 peta–electron volts with a spectrum showing gradual steepening over three energy decades. The ultrahigh-energy photons imply the presence of a peta–electron volt electron accelerator (a pevatron) in the nebula, with an acceleration rate exceeding 15% of the theoretical limit. We constrain the pevatron’s size between 0.025 and 0.1 parsecs and the magnetic field to ≈110 microgauss. The production rate of peta–electron volt electrons, 2.5 × 10 36 ergs per second, constitutes 0.5% of the pulsar spin-down luminosity, although we cannot exclude a contribution of peta–electron volt protons to the production of the highest-energy gamma rays.
    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: 2021
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  • 2
    Online Resource
    Online Resource
    American Association for the Advancement of Science (AAAS) ; 2023
    In:  Science Vol. 380, No. 6652 ( 2023-06-30), p. 1390-1396
    In: Science, American Association for the Advancement of Science (AAAS), Vol. 380, No. 6652 ( 2023-06-30), p. 1390-1396
    Abstract: Observations of the bright gamma-ray burst GRB 221009A at tera–electron volt energies show that it contained a very narrow jet.
    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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    detail.hit.zdb_id: 2066996-3
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  • 3
    In: Science, American Association for the Advancement of Science (AAAS), Vol. 338, No. 6114 ( 2012-12-21), p. 1576-1582
    Abstract: The ATLAS detector measured several characteristic decay products of the standard model Higgs boson, allowing its mass to be determined.
    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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  • 4
    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
    detail.hit.zdb_id: 128410-1
    detail.hit.zdb_id: 2066996-3
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  • 5
    Online Resource
    Online Resource
    American Association for the Advancement of Science (AAAS) ; 2022
    In:  Science Vol. 376, No. 6589 ( 2022-04-08), p. 170-176
    In: Science, American Association for the Advancement of Science (AAAS), Vol. 376, No. 6589 ( 2022-04-08), p. 170-176
    Abstract: Analysis of the data collected at the Tevatron particle collider finds that the W boson is heavier than expected.
    Type of Medium: Online Resource
    ISSN: 0036-8075 , 1095-9203
    RVK:
    RVK:
    Language: English
    Publisher: American Association for the Advancement of Science (AAAS)
    Publication Date: 2022
    detail.hit.zdb_id: 128410-1
    detail.hit.zdb_id: 2066996-3
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  • 6
    Online Resource
    Online Resource
    American Association for the Advancement of Science (AAAS) ; 2005
    In:  Science Vol. 310, No. 5746 ( 2005-10-14), p. 265-269
    In: Science, American Association for the Advancement of Science (AAAS), Vol. 310, No. 5746 ( 2005-10-14), p. 265-269
    Abstract: On 4 July 2005, many observatories around the world and in space observed the collision of Deep Impact with comet 9P/Tempel 1 or its aftermath. This was an unprecedented coordinated observational campaign. These data show that (i) there was new material after impact that was compositionally different from that seen before impact; (ii) the ratio of dust mass to gas mass in the ejecta was much larger than before impact; (iii) the new activity did not last more than a few days, and by 9 July the comet's behavior was indistinguishable from its pre-impact behavior; and (iv) there were interesting transient phenomena that may be correlated with cratering physics.
    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: 2005
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    detail.hit.zdb_id: 2066996-3
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  • 7
    In: Science, American Association for the Advancement of Science (AAAS), Vol. 376, No. 6594 ( 2022-05-13)
    Abstract: Although the genome is often called the blueprint of an organism, it is perhaps more accurate to describe it as a parts list composed of the various genes that may or may not be used in the different cell types of a multicellular organism. Although nearly every cell in the body has essentially the same genome, each cell type makes different use of that genome and expresses a subset of all possible genes. This has motivated efforts to characterize the molecular composition of various cell types within humans and multiple model organisms, both by transcriptional and proteomic approaches. We created a human reference atlas comprising nearly 500,000 cells from 24 different tissues and organs, many from the same donor. This atlas enabled molecular characterization of more than 400 cell types, their distribution across tissues, and tissue-specific variation in gene expression. RATIONALE One caveat to current approaches to make cell atlases is that individual organs are often collected at different locations, collected from different donors, and processed using different protocols. Controlled comparisons of cell types between different tissues and organs are especially difficult when donors differ in genetic background, age, environmental exposure, and epigenetic effects. To address this, we developed an approach to analyzing large numbers of organs from the same individual. RESULTS We collected multiple tissues from individual human donors and performed coordinated single-cell transcriptome analyses on live cells. The donors come from a range of ethnicities, are balanced by gender, have a mean age of 51 years, and have a variety of medical backgrounds. Tissue experts used a defined cell ontology terminology to annotate cell types consistently across the different tissues, leading to a total of 475 distinct cell types with reference transcriptome profiles. The full dataset can be explored online with the cellxgene tool. Data were collected for the bladder, blood, bone marrow, eye, fat, heart, kidney, large intestine, liver, lung, lymph node, mammary, muscle, pancreas, prostate, salivary gland, skin, small intestine, spleen, thymus, tongue, trachea, uterus, and vasculature. Fifty-nine separate specimens in total were collected, processed, and analyzed, and 483,152 cells passed quality control filtering. On a per-compartment basis, the dataset includes 264,824 immune cells, 104,148 epithelial cells, 31,691 endothelial cells, and 82,478 stromal cells. Working with live cells, as opposed to isolated nuclei, ensured that the dataset includes all mRNA transcripts within the cell, including transcripts that have been processed by the cell’s splicing machinery, thereby enabling insight into variation in alternative splicing. The Tabula Sapiens also provided an opportunity to densely and directly sample the human microbiome throughout the gastrointestinal tract. The intestines from two donors were sectioned into five regions: the duodenum, jejunum, ileum, and ascending and sigmoid colon. Each section was transected, and three to nine samples were collected from each location, followed by amplification and sequencing of the 16 S ribosomal RNA gene. CONCLUSION The Tabula Sapiens has revealed discoveries relating to shared behavior and subtle, organ-specific differences across cell types. We found T cell clones shared between organs and characterized organ-dependent hypermutation rates among B cells. Endothelial cells and macrophages are shared across tissues, often showing subtle but clear differences in gene expression. We found an unexpectedly large and diverse amount of cell type–specific RNA splice variant usage and discovered and validated many previously undefined splices. The intestinal microbiome was revealed to have nonuniform species distributions down to the 3-inch (7.62-cm) length scale. These are but a few examples of how the Tabula Sapiens represents a broadly useful reference to deeply understand and explore human biology at cellular resolution. Overview of Tabula Sapiens. Molecular characterization of cell types using single-cell transcriptome sequencing is revolutionizing cell biology and enabling new insights into the physiology of human organs. We created a human reference atlas comprising nearly 500,000 cells from 24 different tissues and organs, many from the same donor. This multimodal atlas enabled molecular characterization of more than 400 cell types.
    Type of Medium: Online Resource
    ISSN: 0036-8075 , 1095-9203
    RVK:
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    Language: English
    Publisher: American Association for the Advancement of Science (AAAS)
    Publication Date: 2022
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    detail.hit.zdb_id: 2066996-3
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  • 8
    In: Science, American Association for the Advancement of Science (AAAS), Vol. 384, No. 6698 ( 2024-05-24)
    Abstract: Single-cell genomics offers a powerful method to understand how variants influence gene expression, especially across the numerous cell types in the human brain. Moreover, it can potentially refine our understanding of the regulatory mechanisms underlying brain-related traits. However, population-scale cohorts with a wide range of brain phenotypes are needed to infer key associations among variants and to develop models of regulation at the single-cell scale. RATIONALE To address this, the PsychENCODE Consortium performed many single-cell experiments [single-nucleus RNA sequencing (snRNA-seq), snATAC-seq (ATAC, assay for transposase-accessible chromatin), and snMultiome plus genotyping] and computational analyses on prefrontal-cortex samples of adults with a range of brain-related disorders such as schizophrenia, autism spectrum disorder, bipolar disorder, and Alzheimer’s disease, as well as controls. RESULTS We developed a uniformly processed resource comprising 〉 2.8 million nuclei from 388 individuals ( brainscope.psychencode.org ). The resource is based on harmonized cell typing, with 28 neuronal and non-neuronal cell types (registered against BICCN). Partitioning the expression variation within these types revealed higher cell-type variability than interindividual variability; this pattern was amplified in neurotransmitter and neurorelated drug-target genes such as CNR1 . Integration of expression and genotype data revealed 〉 1.4 million single-cell expression quantitative trait loci (eQTLs), many of which were not seen in bulk gene-expression datasets and a subset of which involved variants related to brain disorders. Moreover, we found that expression patterns across cell types recapitulated the spatial relationships of excitatory neurons across cortical layers and enabled the identification of “dynamic eQTLs,” with smooth changes in regulatory effect across cortical layers. The chromatin datasets in the resource allowed for identification of 〉 550,000 single-cell cis-regulatory elements, which were enriched at loci linked to brain-related traits. Combining expression, chromatin, and eQTL datasets, we built cell type–specific gene regulatory networks. In these, information-flow bottleneck genes tended to be specific to particular cell types, in contrast to hubs. We also developed cell-to-cell communication networks, which highlighted differences in signaling pathways in disorders, including altered Wnt signaling in schizophrenia and bipolar disorder. We developed an integrative deep-learning model with embedded layers for genotypes, eQTLs, and regulatory and cell-to-cell communications networks. The model allowed for accurate imputation of cell type–specific expression and phenotype from genotype. It prioritized 〉 250 risk genes and drug targets for brain-related disorders along with associated cell types. Simulated perturbation of individual genes led to predicted expression changes mirroring those for disease cases, suggesting drug targets. Lastly, we constructed predictive models for aging and Alzheimer’s disease, showing, for instance, that expression and chromatin in specific neurons were highly predictive of an individual’s age. CONCLUSION Our population-scale single-cell resource for the human brain can help facilitate precision-medicine approaches for neuropsychiatric disorders, especially by prioritizing follow-up genes and drug targets linked to cell types. brainSCOPE resource. snRNA-seq and snATAC-seq from 388 individuals allowed assessment of regulatory elements (scCREs), single-cell eQTLs (scQTLs), and gene regulatory networks across cell types. These were integrated into a model (LNCTP, Linear Network of Cell Type Phenotypes) to predict phenotypes and prioritize genes and cell types.
    Type of Medium: Online Resource
    ISSN: 0036-8075 , 1095-9203
    RVK:
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    Language: English
    Publisher: American Association for the Advancement of Science (AAAS)
    Publication Date: 2024
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    detail.hit.zdb_id: 2066996-3
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  • 9
    Online Resource
    Online Resource
    American Association for the Advancement of Science (AAAS) ; 2003
    In:  Science Vol. 302, No. 5652 ( 2003-12-12), p. 1967-1969
    In: Science, American Association for the Advancement of Science (AAAS), Vol. 302, No. 5652 ( 2003-12-12), p. 1967-1969
    Abstract: The complete genome sequence of Geobacter sulfurreducens , a δ-proteobacterium, reveals unsuspected capabilities, including evidence of aerobic metabolism, one-carbon and complex carbon metabolism, motility, and chemotactic behavior. These characteristics, coupled with the possession of many two-component sensors and many c-type cytochromes, reveal an ability to create alternative, redundant, electron transport networks and offer insights into the process of metal ion reduction in subsurface environments. As well as playing roles in the global cycling of metals and carbon, this organism clearly has the potential for use in bioremediation of radioactive metals and in the generation of electricity.
    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: 2003
    detail.hit.zdb_id: 128410-1
    detail.hit.zdb_id: 2066996-3
    SSG: 11
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  • 10
    In: Science, American Association for the Advancement of Science (AAAS), Vol. 384, No. 6698 ( 2024-05-24)
    Abstract: Genome-wide association studies (GWASs) have identified thousands of loci associated with neurodevelopmental and psychiatric disorders, yet our lack of understanding of the target genes and biological mechanisms underlying these associations remains a major challenge. GWAS signals for many neuropsychiatric disorders, including autism spectrum disorder, schizophrenia, and bipolar disorder, are particularly enriched for gene-regulatory elements active during human brain development. However, the lack of a unified population-scale, ancestrally diverse gene-regulatory atlas of human brain development has been a major obstacle for the functional assessment of top loci and post-GWAS integrative analyses. RATIONALE To address this critical gap in knowledge, we have uniformly processed and systematically characterized gene, isoform, and splicing quantitative trait loci (cumulatively referred to as xQTLs) in the developing human brain across 672 unique samples from 4 to 39 postconception weeks spanning European, African-American, and Latino/admixed American ancestries). With this expanded atlas, we sought to specifically localize the timing and molecular features mediating the greatest proportion of neuropsychiatric GWAS heritability, to prioritize candidate risk genes and mechanisms for top loci, and to compare with analogous results using larger adult brain functional genomic reference panels. RESULTS In total, we identified 15,752 genes harboring a gene, isoform and/or splicing cis -xQTL, including 49 genes associated with four large, recurrent inversions. Highly concordant effect sizes were observed across populations, and our diverse reference panel improved resolution to fine-map underlying candidate causal regulatory variants. Substantially more genes were found to harbor QTLs in the first versus second trimester of brain development, with a notable drop in gene expression and splicing heritability observed from 10 to 18 weeks coinciding with a period of rapidly increasing cellular heterogeneity in the developing brain. Isoform-level regulation, particularly in the second trimester, mediated a greater proportion of heritability across multiple psychiatric GWASs compared with gene expression regulation. Through colocalization and transcriptome-wide association studies, we prioritized biological mechanisms for ~60% of GWAS loci across five neuropsychiatric disorders, with 〉 2-fold more colocalizations observed compared with larger adult brain functional genomic reference panels. We observed convergence between common and rare-variant associations, including a cryptic splicing event in the high-confidence schizophrenia risk gene SP4 . Finally, we constructed a comprehensive set of developmentally regulated gene and isoform coexpression networks harboring unique cell-type specificity and genetic enrichments. Leveraging this cell-type specificity, we identified 〉 8000 module interaction QTLs, many of which exhibited additional GWAS colocalizations. Overall, neuropsychiatric GWASs and rare variant signals localized more strongly within maturing excitatory- and interneuron-associated modules compared with those enriched for neural progenitor cell types. Results can be visualized at devbrainhub.gandallab.org . CONCLUSION We have generated a large-scale, cross-population resource of gene, isoform, and splicing regulation in the developing human brain, providing comprehensive developmental and cell-type-informed mechanistic insights into the genetic underpinnings of complex neurodevelopmental and psychiatric disorders. A comprehensive transcriptome regulatory atlas of the developing human neocortex. RNA-sequencing and single-nucleotide polymorphism genotypes were uniformly integrated within a diverse set of 672 samples of the developing human neocortex. Gene regulation was systematically assessed across the gene, isoform expression, and local splicing levels, yielding 15,752 genes harboring a significant xQTL. Gene regulation was highly dynamic, with a substantial drop observed in gene expression heritability over development. Integrative analyses with neuropsychiatric GWASs uncovered hundreds of candidate risk genes and mechanisms, providing insights into the cellular, molecular, and developmental specificity underlying disease-associated genetic variation.
    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: 2024
    detail.hit.zdb_id: 128410-1
    detail.hit.zdb_id: 2066996-3
    SSG: 11
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