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  • 1
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: SiphWeb ROV CTD
    Description: CTD data for SiphWeb project from ROV's during the R/V Western Flyer MBARI DEEPC cruises, 2019 and 2020. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/834158
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829805
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 2
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-05
    Description: Dataset: Siphonophore sample log
    Description: Siphonophore specimens collected by ROV Doc Ricketts dives that were conducted during the MBARI ship R/V Western Flyer, late 2019 to early 2020. The data include the species or lowest classification possible along with the date, time, depth, and temperature where the organism was observed. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/834100
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829805
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 3
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-27
    Description: Dataset: SiphWeb ROV CTD
    Description: This dataset includes CTD data collected y ROV Doc Ricketts and ROV Ventana during deployments that were conducted from the MBARI ship R/V Western Flyer, in 2019-2021. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/834158
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829805
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 4
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-27
    Description: Dataset: Siphonophore sample log
    Description: This dataset includes information about siphonophore specimens collected by ROV Doc Ricketts and ROV Ventana during deployments that were conducted from the MBARI ship R/V Western Flyer, in 2019-2021. The data include the species or lowest classification possible along with the date, time, depth, and temperature where the organism was observed. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/834100
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829805
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 5
    Publication Date: 2022-05-26
    Description: © The Author(s), 2013. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in BMC Genomics 14 (2013): 266, doi:10.1186/1471-2164-14-266.
    Description: Nematostella vectensis, a burrowing sea anemone, has become a popular species for the study of cnidarian development. In previous studies, the expression of a variety of genes has been characterized during N. vectensis development with in situ mRNA hybridization. This has provided detailed spatial resolution and a qualitative perspective on changes in expression. However, little is known about broad transcriptome-level patterns of gene expression through time. Here we examine the expression of N. vectensis genes through the course of development with quantitative RNA-seq. We provide an overview of changes in the transcriptome through development, and examine the maternal to zygotic transition, which has been difficult to investigate with other tools. We measured transcript abundance in N. vectensis with RNA-seq at six time points in development: zygote (2 hours post fertilization (HPF)), early blastula (7 HPF), mid-blastula (12 HPF), gastrula (24 HPF), planula (5 days post fertilization (DPF)) and young polyp (10 DPF). The major wave of zygotic expression appears between 7–12 HPF, though some changes occur between 2–7 HPF. The most dynamic changes in transcript abundance occur between the late blastula and early gastrula stages. More transcripts are upregulated between the gastrula and planula than downregulated, and a comparatively lower number of transcripts significantly change between planula and polyp. Within the maternal to zygotic transition, we identified a subset of maternal factors that decrease early in development, and likely play a role in suppressing zygotic gene expression. Among the first genes to be expressed zygotically are genes whose proteins may be involved in the degradation of maternal RNA. The approach presented here is highly complementary to prior studies on spatial patterns of gene expression, as it provides a quantitative perspective on a broad set of genes through time but lacks spatial resolution. In addition to addressing the problems identified above, our work provides an annotated matrix that other investigators can use to examine genes and developmental events that we do not examine in detail here.
    Description: This work was supported by seed funds from the Brown-MBL Partnership and the National Science Foundation Graduate Student Research Fellowship. Infrastructure for data transfer from the sequencer was supported by the National Science Foundation EPSCoR Program under Grant No. 1004057 (Infrastructure to Advance Life Sciences in the Ocean State).
    Keywords: Nematostella vectensis ; Transcriptome ; Gene expression ; Maternal to zygotic transition ; Development
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: text/plain
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  • 6
    Publication Date: 2022-05-26
    Description: © The Author(s), 2017. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in PLoS One 12 (2017): e0188601, doi:10.1371/journal.pone.0188601.
    Description: Many animals go through one or more metamorphoses during their lives, however, the molecular underpinnings of metamorphosis across diverse species are not well understood. Medusozoa (Cnidaria) is a clade of animals with complex life cycles, these life cycles can include a polyp stage that metamorphoses into a medusa (jellyfish). Medusae are produced through a variety of different developmental mechanisms—in some species polyps bud medusae (Hydrozoa), in others medusae are formed through polyp fission (Scyphozoa), while in others medusae are formed through direct transformation of the polyp (Cubozoa). To better understand the molecular mechanisms that may coordinate these different forms of metamorphosis, we tested two compounds first identified to induce metamorphosis in the moon jellyfish Aurelia aurita (indomethacin and 5-methoxy-2-methylindole) on a broad diversity of medusozoan polyps. We discovered that indole-containing compounds trigger metamorphosis across a broad diversity of species. All tested discomedusan polyps metamorphosed in the presence of both compounds, including species representatives of several major lineages within the clade (Pelagiidae, Cyaneidae, both clades of Rhizostomeae). In a cubozoan, low levels of 5-methoxy-2-methylindole reliably induced complete and healthy metamorphosis. In contrast, neither compound induced medusa metamorphosis in a coronate scyphozoan, or medusa production in either hydrozoan tested. Our results support the hypothesis that metamorphosis is mediated by a conserved induction pathway within discomedusan scyphozoans, and possibly cubozoans. However, failure of these compounds to induce metamorphosis in a coronate suggests this induction mechanism may have been lost in this clade, or is convergent between Scyphozoa and Cubozoa.
    Description: National Science Foundation Graduate Research Fellowship (DGE - 1058262; https://www.nsfgrfp.org/general_resources/about) to RRH. Evo-Devo-Eco Network (IOS # 0955517; http://edenrcn.com/) Research Exchange Funds, awarded to RRH. National Science Foundation Rhode Island Established Program to Stimulate Competitive Graduate Research Fellowship to RRH (DEB-1256695; http://web.uri.edu/rinsfepscor/grad-fellowships/). Brown University Ecology and Evolutionary Biology Dissertation Development Grant from the Bushnell Research and Education Fund awarded to RRH.
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 7
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-12
    Description: Dataset: Siphonophore sample log
    Description: This dataset includes information about siphonophore specimens collected by ROV Doc Ricketts and ROV Ventana during deployments that were conducted from the MBARI ship R/V Western Flyer, in 2019-2022. The data include the species or lowest classification possible along with the date, time, depth, and temperature where the organism was observed. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/834100
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829805
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 8
    Publication Date: 2018-01-04
    Description: There is considerable interest in comparing functional genomic data across species. One goal of such work is to provide an integrated understanding of genome and phenotype evolution. Most comparative functional genomic studies have relied on multiple pairwise comparisons between species, an approach that does not incorporate information about the evolutionary relationships among species. The statistical problems that arise from not considering these relationships can lead pairwise approaches to the wrong conclusions and are a missed opportunity to learn about biology that can only be understood in an explicit phylogenetic context. Here, we examine two recently published studies that compare gene expression across species with pairwise methods, and find reason to question the original conclusions of both. One study interpreted pairwise comparisons of gene expression as support for the ortholog conjecture, the hypothesis that orthologs tend to have more similar attributes (expression in this case) than paralogs. The other study interpreted pairwise comparisons of embryonic gene expression across distantly related animals as evidence for a distinct evolutionary process that gave rise to phyla. In each study, distinct patterns of pairwise similarity among species were originally interpreted as evidence of particular evolutionary processes, but instead, we find that they reflect species relationships. These reanalyses concretely show the inadequacy of pairwise comparisons for analyzing functional genomic data across species. It will be critical to adopt phylogenetic comparative methods in future functional genomic work. Fortunately, phylogenetic comparative biology is also a rapidly advancing field with many methods that can be directly applied to functional genomic data.
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 9
    Publication Date: 2015-05-01
    Print ISSN: 0169-5347
    Electronic ISSN: 1872-8383
    Topics: Biology
    Published by Cell Press
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  • 10
    Publication Date: 2016-02-01
    Print ISSN: 0169-5347
    Electronic ISSN: 1872-8383
    Topics: Biology
    Published by Cell Press
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