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      A sodium-dependent trehalose transporter contributes to anhydrobiosis in insect cell line, Pv11

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          Significance

          Pv11 is the only animal cell line with extreme desiccation tolerance, called anhydrobiosis, induced by pretreatment with high concentrations of trehalose. Heterologous expression systems revealed that an identified transporter (STRT1), which is up-regulated upon rehydration, exhibits Na +-dependent trehalose import and export activities. This study reports a trehalose transporter belonging to the solute carrier family 5 (SLC5). Knockout of Strt1 significantly reduced the viability of desiccated Pv11 cells after rehydration. Further gene knockout experiments revealed that STRT1 effectively effluxes excess trehalose during rehydration, which likely contributes to the alleviation of deleterious morphological changes caused by osmotic shock. These results suggest that STRT1 plays an important role in the recovery of Pv11 cells from the state of anhydrobiosis.

          Abstract

          Pv11 is the only animal cell line that, when preconditioned with a high concentration of trehalose, can be preserved in the dry state at room temperature for more than one year while retaining the ability to resume proliferation. This extreme desiccation tolerance is referred to as anhydrobiosis. Here, we identified a transporter that contributes to the recovery of Pv11 cells from anhydrobiosis. In general, the solute carrier 5 (SLC5)-type secondary active transporters cotransport Na + and carbohydrates including glucose. The heterologous expression systems showed that the transporter belonging to the SLC5 family, whose expression increases upon rehydration, exhibits Na +-dependent trehalose transport activity. Therefore, we named it STRT1 (sodium-ion trehalose transporter 1). We report an SLC5 family member that transports a naturally occurring disaccharide, such as trehalose. Knockout of the Strt1 gene significantly reduced the viability of Pv11 cells upon rehydration after desiccation. During rehydration, when intracellular trehalose is no longer needed, Strt1-knockout cells released the disaccharide more slowly than the parental cell line. During rehydration, Pv11 cells became roughly spherical due to osmotic pressure changes, but then returned to their original spindle shape after about 30 min. Strt1-knockout cells, however, required about 50 min to adopt their normal morphology. STRT1 probably regulates intracellular osmolality by releasing unwanted intracellular trehalose with Na +, thereby facilitating the recovery of normal cell morphology during rehydration. STRT1 likely improves the viability of dried Pv11 cells by rapidly alleviating the significant physical stresses that arise during rehydration.

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          Most cited references83

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          RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome

          Background RNA-Seq is revolutionizing the way transcript abundances are measured. A key challenge in transcript quantification from RNA-Seq data is the handling of reads that map to multiple genes or isoforms. This issue is particularly important for quantification with de novo transcriptome assemblies in the absence of sequenced genomes, as it is difficult to determine which transcripts are isoforms of the same gene. A second significant issue is the design of RNA-Seq experiments, in terms of the number of reads, read length, and whether reads come from one or both ends of cDNA fragments. Results We present RSEM, an user-friendly software package for quantifying gene and isoform abundances from single-end or paired-end RNA-Seq data. RSEM outputs abundance estimates, 95% credibility intervals, and visualization files and can also simulate RNA-Seq data. In contrast to other existing tools, the software does not require a reference genome. Thus, in combination with a de novo transcriptome assembler, RSEM enables accurate transcript quantification for species without sequenced genomes. On simulated and real data sets, RSEM has superior or comparable performance to quantification methods that rely on a reference genome. Taking advantage of RSEM's ability to effectively use ambiguously-mapping reads, we show that accurate gene-level abundance estimates are best obtained with large numbers of short single-end reads. On the other hand, estimates of the relative frequencies of isoforms within single genes may be improved through the use of paired-end reads, depending on the number of possible splice forms for each gene. Conclusions RSEM is an accurate and user-friendly software tool for quantifying transcript abundances from RNA-Seq data. As it does not rely on the existence of a reference genome, it is particularly useful for quantification with de novo transcriptome assemblies. In addition, RSEM has enabled valuable guidance for cost-efficient design of quantification experiments with RNA-Seq, which is currently relatively expensive.
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            Trinity: reconstructing a full-length transcriptome without a genome from RNA-Seq data

            Massively-parallel cDNA sequencing has opened the way to deep and efficient probing of transcriptomes. Current approaches for transcript reconstruction from such data often rely on aligning reads to a reference genome, and are thus unsuitable for samples with a partial or missing reference genome. Here, we present the Trinity methodology for de novo full-length transcriptome reconstruction, and evaluate it on samples from fission yeast, mouse, and whitefly – an insect whose genome has not yet been sequenced. Trinity fully reconstructs a large fraction of the transcripts present in the data, also reporting alternative splice isoforms and transcripts from recently duplicated genes. In all cases, Trinity performs better than other available de novo transcriptome assembly programs, and its sensitivity is comparable to methods relying on genome alignments. Our approach provides a unified and general solution for transcriptome reconstruction in any sample, especially in the complete absence of a reference genome.
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              Animal models of necrotizing enterocolitis: review of the literature and state of the art

              Abstract Necrotizing enterocolitis (NEC) remains the leading cause of gastrointestinal surgical emergency in preterm neonates. Over the last five decades, a variety of experimental models have been developed to study the pathophysiology of this disease and to test the effectiveness of novel therapeutic strategies. Experimental NEC is mainly modeled in neonatal rats, mice and piglets. In this review, we focus on these experimental models and discuss the major advantages and disadvantages of each. We also briefly discuss other models that are not as widely used but have contributed to our current knowledge of NEC.
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                Author and article information

                Contributors
                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                29 March 2024
                2 April 2024
                29 March 2024
                : 121
                : 14
                : e2317254121
                Affiliations
                [1] aDepartment of Integrated Biosciences, Graduate School of Frontier Science, The University of Tokyo , Kashiwa, Chiba 277-8562, Japan
                [2] bDivision of Biomaterial Sciences, Institute of Agrobiological Sciences, National Agriculture and Food Research Organization , Tsukuba, Ibaraki 305-8634, Japan
                [3] cDepartment of Medical Chemistry, Medical Research Institute, Tokyo Medical and Dental University , Bunkyo-ku, Tokyo 113-8510, Japan
                [4] dIntractable Disease Research Center, Graduate School of Medicine, Juntendo University , Bunkyo-ku, Tokyo 113-8421, Japan
                [5] eDepartment of Regional and Comprehensive Agriculture, College of Agriculture, Ibaraki University , Ami, Ibaraki 300-0393, Japan
                Author notes
                1To whom correspondence may be addressed. Email: shingo.kikuta.pes@ 123456vc.ibaraki.ac.jp or kikawada@ 123456affrc.go.jp .

                Edited by David Denlinger, The Ohio State University, Columbus, OH; received October 5, 2023; accepted February 13, 2024

                Author information
                https://orcid.org/0009-0009-3407-436X
                https://orcid.org/0000-0002-2329-9282
                Article
                202317254
                10.1073/pnas.2317254121
                10998604
                38551840
                24903e11-3008-4dd3-a76e-e6aeb3291f93
                Copyright © 2024 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                : 05 October 2023
                : 13 February 2024
                Page count
                Pages: 12, Words: 8295
                Funding
                Funded by: MEXT | Japan Society for the Promotion of Science (JSPS), FundRef 501100001691;
                Award ID: 23KJ0537
                Award Recipient : Kosuke Mizutani Award Recipient : Shingo Kikuta Award Recipient : Takahiro Kikawada
                Funded by: MEXT | Japan Society for the Promotion of Science (JSPS), FundRef 501100001691;
                Award ID: 12J110839
                Award Recipient : Kosuke Mizutani Award Recipient : Shingo Kikuta Award Recipient : Takahiro Kikawada
                Funded by: MEXT | Japan Society for the Promotion of Science (JSPS), FundRef 501100001691;
                Award ID: 26850216
                Award Recipient : Kosuke Mizutani Award Recipient : Shingo Kikuta Award Recipient : Takahiro Kikawada
                Funded by: MEXT | Japan Society for the Promotion of Science (JSPS), FundRef 501100001691;
                Award ID: 25252060
                Award Recipient : Kosuke Mizutani Award Recipient : Shingo Kikuta Award Recipient : Takahiro Kikawada
                Funded by: MEXT | Japan Society for the Promotion of Science (JSPS), FundRef 501100001691;
                Award ID: 22H00372
                Award Recipient : Kosuke Mizutani Award Recipient : Shingo Kikuta Award Recipient : Takahiro Kikawada
                Funded by: MEXT | Japan Science and Technology Agency (JST), FundRef 501100002241;
                Award ID: JPMJSP2108
                Award Recipient : Kosuke Mizutani
                Categories
                dataset, Dataset
                research-article, Research Article
                biochem, Biochemistry
                407
                Biological Sciences
                Biochemistry

                trehalose,anhydrobiosis,insects,sodium-ion trehalose transporter,polypedilum vanderplanki

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