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      Assessment of serpulid-hydroid association through the Jurassic: A case study from the Polish Basin

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          Abstract

          The coexistence of sessile, tube-dwelling polychaetes (serpulids) and hydroids, has been investigated. Serpulid tubes bearing traces after hydroids are derived from different stratigraphic intervals spanning the Middle and Upper Jurassic, the rocks of which represent the diverse paleoenvironments of the Polish Basin. Although fossil colonial hydroids classified under the species Protulophila gestroi are a commonly occurring symbiont of these polychaetes during the Late Cretaceous and Cenozoic, they seem to be significantly less frequent during the Jurassic and limited to specific paleoenvironments. The hydroids described here are represented by traces after a thin stolonal network with elongated polyp chambers that open to the outer polychaete tube’s surface with small, more or less subcircular apertures. Small chimney-like bulges around openings are an effect of the incorporation of the organism by in vivo embedment (bioclaustration) within the outer layers of the calcareous tube of the serpulid host. Considering the rich collection of well-preserved serpulid tubes (>3000 specimens), the frequency of bioclaustrated hydroids is very low, with an infestation percentage of only 0.6% (20 cases). It has been noticed that only specimens of the genus Propomatoceros from the Upper Bajocian, Lower Bathonian, Middle Bathonian, and Callovian have been found infested. However, the majority of bioclaustrated hydroids (17 cases) have been recorded in the Middle Bathonian serpulid species Propomatoceros lumbricalis coming from a single sampled site. Representatives of other genera are not affected, which is congruent with previous reports indicating that Protulophila gestroi was strongly selective in the choice of its host. A presumably commensal relationship is compared with the recent symbiosis between the hydroids of the genus Proboscidactyla and certain genera of sabellid polychaetes.

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          U1 snRNP regulates cancer cell migration and invasion in vitro

          Stimulated cells and cancer cells have widespread shortening of mRNA 3’-untranslated regions (3’UTRs) and switches to shorter mRNA isoforms due to usage of more proximal polyadenylation signals (PASs) in introns and last exons. U1 snRNP (U1), vertebrates’ most abundant non-coding (spliceosomal) small nuclear RNA, silences proximal PASs and its inhibition with antisense morpholino oligonucleotides (U1 AMO) triggers widespread premature transcription termination and mRNA shortening. Here we show that low U1 AMO doses increase cancer cells’ migration and invasion in vitro by up to 500%, whereas U1 over-expression has the opposite effect. In addition to 3’UTR length, numerous transcriptome changes that could contribute to this phenotype are observed, including alternative splicing, and mRNA expression levels of proto-oncogenes and tumor suppressors. These findings reveal an unexpected role for U1 homeostasis (available U1 relative to transcription) in oncogenic and activated cell states, and suggest U1 as a potential target for their modulation.
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            The ImageJ ecosystem: An open platform for biomedical image analysis.

            Technology in microscopy advances rapidly, enabling increasingly affordable, faster, and more precise quantitative biomedical imaging, which necessitates correspondingly more-advanced image processing and analysis techniques. A wide range of software is available-from commercial to academic, special-purpose to Swiss army knife, small to large-but a key characteristic of software that is suitable for scientific inquiry is its accessibility. Open-source software is ideal for scientific endeavors because it can be freely inspected, modified, and redistributed; in particular, the open-software platform ImageJ has had a huge impact on the life sciences, and continues to do so. From its inception, ImageJ has grown significantly due largely to being freely available and its vibrant and helpful user community. Scientists as diverse as interested hobbyists, technical assistants, students, scientific staff, and advanced biology researchers use ImageJ on a daily basis, and exchange knowledge via its dedicated mailing list. Uses of ImageJ range from data visualization and teaching to advanced image processing and statistical analysis. The software's extensibility continues to attract biologists at all career stages as well as computer scientists who wish to effectively implement specific image-processing algorithms. In this review, we use the ImageJ project as a case study of how open-source software fosters its suites of software tools, making multitudes of image-analysis technology easily accessible to the scientific community. We specifically explore what makes ImageJ so popular, how it impacts the life sciences, how it inspires other projects, and how it is self-influenced by coevolving projects within the ImageJ ecosystem.
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              Names for trace fossils: a uniform approach

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: MethodologyRole: Writing – review & editing
                Role: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                9 December 2020
                2020
                : 15
                : 12
                : e0242924
                Affiliations
                [1 ] Institute of Earth Sciences, University of Silesia in Katowice, Sosnowiec, Poland
                [2 ] Faculty of Computer Science and Materials Science, University of Silesia in Katowice, Chorzów, Poland
                Uniwersytet Warszawski, POLAND
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0001-9633-5929
                https://orcid.org/0000-0003-0121-9592
                https://orcid.org/0000-0001-5136-5286
                Article
                PONE-D-20-22729
                10.1371/journal.pone.0242924
                7725407
                33296393
                f5a20283-8420-4f42-abc4-a8608be966a0
                © 2020 Słowiński et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 11 August 2020
                : 11 November 2020
                Page count
                Figures: 6, Tables: 2, Pages: 23
                Funding
                The research is supported by the University of Silesia in Katowice, Institute of Earth Sciences. There was no additional external funding received for this study.
                Categories
                Research Article
                Biology and Life Sciences
                Paleontology
                Fossils
                Earth Sciences
                Paleontology
                Fossils
                Earth Sciences
                Geology
                Geologic Time
                Mesozoic Era
                Jurassic Period
                Earth Sciences
                Geology
                Stratigraphy
                Biology and Life Sciences
                Species Interactions
                Symbiosis
                Biology and Life Sciences
                Paleontology
                Paleoenvironments
                Earth Sciences
                Paleontology
                Paleoenvironments
                Biology and Life Sciences
                Psychology
                Behavior
                Animal Behavior
                Animal Sociality
                Social Sciences
                Psychology
                Behavior
                Animal Behavior
                Animal Sociality
                Biology and Life Sciences
                Zoology
                Animal Behavior
                Animal Sociality
                Biology and Life Sciences
                Developmental Biology
                Life Cycles
                Larvae
                Biology and Life Sciences
                Paleontology
                Biostratigraphy
                Earth Sciences
                Paleontology
                Biostratigraphy
                Earth Sciences
                Geology
                Stratigraphy
                Biostratigraphy
                Custom metadata
                All relevant data are within the manuscript and its Supporting Information files.

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                Uncategorized

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