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  • 1
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2020
    In:  Journal of Experimental Botany Vol. 71, No. 19 ( 2020-10-07), p. 5837-5851
    In: Journal of Experimental Botany, Oxford University Press (OUP), Vol. 71, No. 19 ( 2020-10-07), p. 5837-5851
    Abstract: Signaling by the phytohormone abscisic acid (ABA) involves pre-mRNA splicing, a key process of post-transcriptional regulation of gene expression. However, the regulatory mechanism of alternative pre-mRNA splicing in ABA signaling remains largely unknown. We previously identified a pentatricopeptide repeat protein SOAR1 (suppressor of the ABAR-overexpressor 1) as a crucial player downstream of ABAR (putative ABA receptor) in ABA signaling. In this study, we identified a SOAR1 interaction partner USB1, which is an exoribonuclease catalyzing U6 production for spliceosome assembly. We reveal that together USB1 and SOAR1 negatively regulate ABA signaling in early seedling development. USB1 and SOAR1 are both required for the splicing of transcripts of numerous genes, including those involved in ABA signaling pathways, suggesting that USB1 and SOAR1 collaborate to regulate ABA signaling by affecting spliceosome assembly. These findings provide important new insights into the mechanistic control of alternative pre-mRNA splicing in the regulation of ABA-mediated plant responses to environmental cues.
    Type of Medium: Online Resource
    ISSN: 0022-0957 , 1460-2431
    RVK:
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2020
    detail.hit.zdb_id: 1466717-4
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  • 2
    In: Nucleic Acids Research, Oxford University Press (OUP), Vol. 51, No. D1 ( 2023-01-06), p. D18-D28
    Abstract: The National Genomics Data Center (NGDC), part of the China National Center for Bioinformation (CNCB), provides a family of database resources to support global academic and industrial communities. With the explosive accumulation of multi-omics data generated at an unprecedented rate, CNCB-NGDC constantly expands and updates core database resources by big data archive, integrative analysis and value-added curation. In the past year, efforts have been devoted to integrating multiple omics data, synthesizing the growing knowledge, developing new resources and upgrading a set of major resources. Particularly, several database resources are newly developed for infectious diseases and microbiology (MPoxVR, KGCoV, ProPan), cancer-trait association (ASCancer Atlas, TWAS Atlas, Brain Catalog, CCAS) as well as tropical plants (TCOD). Importantly, given the global health threat caused by monkeypox virus and SARS-CoV-2, CNCB-NGDC has newly constructed the monkeypox virus resource, along with frequent updates of SARS-CoV-2 genome sequences, variants as well as haplotypes. All the resources and services are publicly accessible at https://ngdc.cncb.ac.cn.
    Type of Medium: Online Resource
    ISSN: 0305-1048 , 1362-4962
    RVK:
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 1472175-2
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  • 3
    In: Science, American Association for the Advancement of Science (AAAS), Vol. 380, No. 6640 ( 2023-04-07)
    Abstract: Hormones regulate most aspects of human physiology and are generally divided into four groups: protein and peptides, monoamines, steroids, and free fatty acids (FAs). Unsaturated FAs, those with C–C double bonds, exert physiological functions through engagement with membrane receptors, many of which are G protein–coupled receptors (GPCRs). Omega-3 (ω-3) FAs, which are a main component of fish oil, bind to the receptor GPR120, which mediates insulin sensitization, stimulates glucagon-like peptide 1 (GLP-1) secretion, and controls adipogenesis and anti-inflammatory effects through coupling to distinct downstream effectors, including the guanine nucleotide–binding (G) proteins G s , G i , and G q and β-arrestins. The association of the p.R270H missense mutation of GPR120 in obesity suggests therapeutic potential for GPR120 in the treatment of metabolic diseases. RATIONALE How natural fatty acid hormones—which are amphipathic molecules, distinguished mainly by number and position of double bonds—interact with GPCRs such as GPR120 has been unclear. Both saturated and unsaturated FAs are able to activate GPR120, but only certain unsaturated FAs are beneficial for metabolism. It is therefore important to understand whether GPR120 can recognize selective double-bond decorations in FAs and, if so, translate binding to specific biological signaling pathways, including different G protein subtypes and arrestins. The lack of GPCR structures in complex with natural fatty acid hormones and downstream effectors has hampered our understanding of double-bond recognition, which is one challenge in developing therapeutics that might act through this receptor. RESULTS By profiling G protein and arrestin activities of GPR120 stimulated by saturated and unsaturated endogenous FAs or the synthetic compound TUG891, we found that these molecules exhibited different biased signaling properties. In particular, only the beneficial ω-3 FAs were able to activate G s signaling. We determined six cryo–electron microscopy (cryo-EM) structures of GPR120-G i /G iq with 9-hydroxystearic acid (9-HSA), linoleic acid (LA), oleic acid (OA), the natural agonist ω-3 eicosapentaenoic acid (EPA), and the synthetic agonist TUG891. All fatty acid hormones and TUG891 assumed an overall “L” configuration and were buried inside the seven-transmembrane (7TM) helix bundle of the receptor. Through structural and mutational analysis, biochemical characterization, and molecular simulations, we identified aromatic residues in the ligand pocket of GPR120 that specifically recognize the C–C double bonds present in unsaturated FAs through π:π interactions and translate this recognition into different signaling outcomes. A propagating path connects the double-bond recognition of GPR120 inside the ligand pocket of the cytoplasmic side, and common and distinct features of G s and G q coupling interfaces were investigated. We also analyzed the structural basis for selectivity of TUG891 toward GPR120 and a disease-associated single-nucleotide polymorphism of GPR120. The separation of TUG891 into two regions by a linker oxygen suggests that fragment-based drug design could be exploited for GPR120 ligand design. CONCLUSION Our cryo-EM structures reveal how fatty acid hormones bind the orthosteric site within the 7TM domain of GPCRs and how specific aromatic residues inside the ligand pocket recognize the C–C double bonds. We also investigated mechanisms underlying signaling bias of GPR120 in response to various ligands. This work will serve as a foundation for the development of molecules that bind and activate GPR120 for potential therapeutic uses as well as to better understand how ligand-induced conformational changes bias signaling outcomes in GPRCs. Fish oil membrane receptor GPR120 recognizes different unsaturated FAs and couples to distinct downstream effectors. The membrane receptor GPR120 specifically recognizes the C–C double bonds present in unsaturated FAs, such as those in the ω-3 FAs found in fish oil, through π:π interactions. The interaction patterns of different FAs or ligands inside of the ligand pocket of GPR120 are translated into different signaling outcomes via distinct propagating paths. GLUT4, glucose transporter member 4; cAMP, cyclic adenosine monophosphate; TAK1, transforming growth factor-β–activated kinase 1; NLRP3, NLR family pyrin domain containing 3.
    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: 2023
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    detail.hit.zdb_id: 2066996-3
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    SSG: 11
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  • 4
    In: Biochemical and Biophysical Research Communications, Elsevier BV, ( 2023-12), p. 149463-
    Type of Medium: Online Resource
    ISSN: 0006-291X
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 1461396-7
    SSG: 12
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  • 5
    Online Resource
    Online Resource
    Wiley ; 2020
    In:  Proteins: Structure, Function, and Bioinformatics Vol. 88, No. 1 ( 2020-01), p. 143-151
    In: Proteins: Structure, Function, and Bioinformatics, Wiley, Vol. 88, No. 1 ( 2020-01), p. 143-151
    Abstract: Beta‐turn prediction is useful in protein function studies and experimental design. Although recent approaches using machine‐learning techniques such as support vector machine (SVM), neural networks, and K nearest neighbor have achieved good results for beta‐turn prediction, there is still significant room for improvement. As previous predictors utilized features in a sliding window of 4‐20 residues to capture interactions among sequentially neighboring residues, such feature engineering may result in incomplete or biased features and neglect interactions among long‐range residues. Deep neural networks provide a new opportunity to address these issues. Here, we proposed a deep dense inception network (DeepDIN) for beta‐turn prediction, which takes advantage of the state‐of‐the‐art deep neural network design of dense networks and inception networks. A test on a recent BT6376 benchmark data set shows that DeepDIN outperformed the previous best tool BetaTPred3 significantly in both the overall prediction accuracy and the nine‐type beta‐turn classification accuracy. A tool, called MUFold‐BetaTurn, was developed, which is the first beta‐turn prediction tool utilizing deep neural networks. The tool can be downloaded at http://dslsrv8.cs.missouri.edu/~cf797/MUFoldBetaTurn/download.html .
    Type of Medium: Online Resource
    ISSN: 0887-3585 , 1097-0134
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 1475032-6
    SSG: 12
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  • 6
    In: Science, American Association for the Advancement of Science (AAAS), Vol. 377, No. 6604 ( 2022-07-22)
    Abstract: Rapid population growth, rising meat consumption, and the expanding use of crops for nonfood and nonfeed purposes increase the pressure on global food production. At the same time, the excessive use of nitrogen fertilizer to enhance agricultural production poses serious threats to both human health and the environment. To achieve the required yield increases and make agriculture more sustainable, intensified breeding and genetic engineering efforts are needed to obtain new crop varieties with higher photosynthetic capacity and improved nitrogen use efficiency (NUE). However, progress has been slow, largely due to the limited knowledge about regulator genes that potentially can coordinately optimize carbon assimilation and nitrogen utilization. RATIONALE Transcription factors control diverse biological processes by binding to the promoters (or intragenic regions) of target genes, and a number of transcription factors have been identified that control carbon fixation and nitrogen assimilation. A previous comparative analysis of maize and rice leaf transcriptomes and metabolomes revealed a set of 118 candidate transcription factors that may act as regulators of C 4 photosynthesis. We screened these transcription factors for their responsiveness to light and nitrogen supply in rice, and found that the gene Dehydration-Responsive Element-Binding Protein 1C ( OsDREB1C ), a member of the APETALA2/ethylene-responsive element binding factor (AP2/ERF) family, exhibits properties expected of a regulator that can simultaneously modulate photosynthesis and nitrogen utilization. RESULTS OsDREB1C expression is induced in rice by both light and low-nitrogen status. We generated overexpression lines ( OsDREB1C -OE) and knockout mutants ( OsDREB1C -KO) in rice, and conducted field trials in northern, southeastern, and southern China from 2018 to 2021. OsDREB1C -OE plants exhibited 41.3 to 68.3% higher yield than wild-type (WT) plants due to increased grain number per panicle, elevated grain weight, and enhanced harvest index. We observed that light-induced growth promotion of OsDREB1C -OE plants was accompanied by enhanced photosynthetic capacity and concomitant increases in photosynthetic assimilates. In addition, 15 N feeding experiments and field studies with different nitrogen fertilization regimes revealed that NUE was improved in OsDREB1C- OE plants due to elevated nitrogen uptake and transport activity. Moreover, OsDREB1C overexpression led to more efficient carbon and nitrogen allocation from source to sink, thus boosting grain yield, particularly under low-nitrogen conditions. Additionally, the OsDREB1C -OE plants flowered 13 to 19 days earlier and accumulated higher biomass at the heading stage than WT plants under long-day conditions. OsDREB1C is localized in the nucleus and the cytosol and functions as a transcriptional activator that directly binds to cis elements in the DNA, including dehydration-responsive element (DRE)/C repeat (CRT), GCC, and G boxes. Chromatin immunoprecipitation sequencing (ChIP-seq) and transcriptomic analyses identified a total of 9735 putative OsDREB1C-binding sites at the genome-wide level. We discovered that five genes targeted by OsDREB1C [ ribulose-l,5-bisphosphate carboxylase/oxygenase small subunit 3 ( OsRBCS3 ), nitrate reductase 2 ( OsNR2 ), nitrate transporter 2.4 ( OsNRT2.4 ), nitrate transporter 1.1B ( OsNRT1.1B ), and flowering locus T-like 1 ( OsFTL1 )] are closely associated with photosynthesis, nitrogen utilization, and flowering, the key traits altered by OsDREB1C overexpression. ChIP-quantitative polymerase chain reaction (ChIP-qPCR) and DNA affinity purification sequencing (DAP-seq) assays confirmed that OsDREB1C activates the transcription of these genes by binding to the promoter of OsRBCS3 and to exons of OsNR2 , OsNRT2.4 , OsNRT1.1B , and OsFTL1 . By showing that biomass and yield increases can also be achieved by OsDREB1C overexpression in wheat and Arabidopsis , we have demonstrated that the mode of action and the biological function of the transcription factor are evolutionarily conserved. CONCLUSION Overexpression of OsDREB1C not only boosts grain yields but also confers higher NUE and early flowering. Our work demonstrates that by genetically modulating the expression of a single transcriptional regulator gene, substantial yield increases can be achieved while the growth duration of the crop is shortened. The existing natural allelic variation in OsDREB1C , the highly conserved function of the transcription factor in seed plants, and the ease with which its expression can be altered by genetic engineering suggest that this gene could be the target of future crop improvement strategies toward more efficient and more sustainable food production. OsDREB1C coordinates yield and growth duration. OsDREB1C was identified by its responsiveness to light and low nitrogen in a screen of 118 transcription factors related to C 4 photosynthesis. Transcriptional activation of multiple downstream target genes by OsDREB1C confers enhanced photosynthesis, improved nitrogen utilization, and early flowering. Together, the activated genes cause substantial yield increases in rice and wheat.
    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
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    detail.hit.zdb_id: 2066996-3
    detail.hit.zdb_id: 2060783-0
    SSG: 11
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  • 7
    In: Gene, Elsevier BV, Vol. 815 ( 2022-03), p. 146164-
    Type of Medium: Online Resource
    ISSN: 0378-1119
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    Language: English
    Publisher: Elsevier BV
    Publication Date: 2022
    detail.hit.zdb_id: 1491012-3
    SSG: 12
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  • 8
    In: Progress in Neurobiology, Elsevier BV, Vol. 227 ( 2023-08), p. 102477-
    Type of Medium: Online Resource
    ISSN: 0301-0082
    RVK:
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 1500673-6
    SSG: 12
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  • 9
    Online Resource
    Online Resource
    Elsevier BV ; 2020
    In:  Biochemical and Biophysical Research Communications Vol. 521, No. 2 ( 2020-01), p. 499-506
    In: Biochemical and Biophysical Research Communications, Elsevier BV, Vol. 521, No. 2 ( 2020-01), p. 499-506
    Type of Medium: Online Resource
    ISSN: 0006-291X
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2020
    detail.hit.zdb_id: 1461396-7
    SSG: 12
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  • 10
    In: Experimental Cell Research, Elsevier BV, Vol. 409, No. 2 ( 2021-12), p. 112926-
    Type of Medium: Online Resource
    ISSN: 0014-4827
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    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    detail.hit.zdb_id: 1466780-0
    SSG: 12
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