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  • Wiley  (4)
  • Biology  (4)
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  • Wiley  (4)
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  • Biology  (4)
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  • 1
    In: Clinical Genetics, Wiley, Vol. 90, No. 5 ( 2016-11), p. 451-455
    Abstract: Chromosomal aberration mostly occurs in chromosomes 21, 18 and 13, with an incidence approximately 1 out of 160 live births in humans, therefore making prenatal diagnosis necessary in clinics. Current methods have drawbacks such as time consuming, high cost, complicated operations and low sensitivity. In this paper, a novel method for rapid and accurate prenatal diagnosis of aneuploidy is proposed based on pyrosequencing, which quantitatively detects the peak height ratio (PHR) of different bases of segmental duplication. A direct polymerase chain reaction ( PCR ) approach was undertaken, where a small volume of amniotic fluid was used as the starting material without DNA extraction. Single‐stranded DNA was prepared from PCR products and subsequently analyzed using pyrosequencing. The PHR between target and reference chromosome of 2.2 for euploid and 3:2 for a trisomy fetus were used as reference. The reference intervals and z scores were calculated for discrimination of aneuploidy. A total of 132 samples were collected, within trisomy 21 ( n = 11), trisomy 18 ( n = 3), trisomy 13 ( n = 2), and unaffected controls ( n = 116). A set of six segmental duplications were chosen for analysis. This method had consistent results with karyotyping analysis, a correct diagnosis with 100% sensitivity and 99.9% specificity.
    Type of Medium: Online Resource
    ISSN: 0009-9163 , 1399-0004
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2016
    detail.hit.zdb_id: 2004581-5
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  • 2
    In: Physiologia Plantarum, Wiley, Vol. 163, No. 2 ( 2018-06), p. 196-210
    Abstract: Brassinosteroids (BRs) are growth‐promoting plant hormones that play a crucial role in biotic stress responses. Here, we found that BR treatment increased nitric oxide (NO) accumulation, and a significant reduction of virus accumulation in Arabidopsis thaliana . However, the plants pre‐treated with NO scavenger [2‐(4‐carboxyphenyl)‐4,4,5,5‐tetramethyl‐imidazoline‐1‐1‐oxyl‐3‐oxide (PTIO)] or nitrate reductase (NR) inhibitor (tungstate) hardly had any NO generation and appeared to have the highest viral replication and suffer more damages. Furthermore, the antioxidant system and photosystem parameters were up‐regulated in brassinolide (BL)‐treated plants but down regulated in PTIO‐ or tungstate‐treated plants, suggesting NO may be involved in BRs‐induced virus resistance in Arabidopsis. Further evidence showed that NIA1 pathway was responsible for BR‐induced NO accumulation in Arabidopsis. These results indicated that NO participated in the BRs‐induced systemic resistance in Arabidopsis. As BL treatment could not increase NO levels in nia1 plants in comparison to nia2 plants. And nia1 mutant exhibited decreased virus resistance relative to Col‐0 or nia2 plants after BL treatment. Taken together, our study addressed that NIA1‐mediated NO biosynthesis is involved in BRs‐mediated virus resistance in A. thaliana .
    Type of Medium: Online Resource
    ISSN: 0031-9317 , 1399-3054
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2018
    detail.hit.zdb_id: 208872-1
    detail.hit.zdb_id: 2020837-6
    SSG: 12
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  • 3
    In: Physiologia Plantarum, Wiley, Vol. 170, No. 1 ( 2020-09), p. 75-92
    Abstract: Green leaf volatiles (GLVs) are released by plants when they encounter biotic stress, but their functions in the response to abiotic stress have not been determined. We have previously shown that exogenous application of (Z)‐3‐hexeny‐1‐yl acetate (Z‐3‐HAC), a kind of GLV, could alleviate salt stress in peanut ( Arachis hypogaea L.) seedlings; however, notably little is known concerning the transcription regulation mechanisms of Z‐3‐HAC. In this study, we comprehensively characterized the transcriptomes and physiological indices of peanut seedlings exposed to Z‐3‐HAC and/or salt stress. Analysis of transcriptome data showed that 1420 genes were upregulated in the seedlings primed with Z‐3‐HAC under salt stress compared with the non‐primed treatment. Interestingly, these genes were significantly enriched in the photosynthetic and ascorbate metabolism‐related categories, as well as several plant hormone metabolism pathways. The physiological data revealed that Z‐3‐HAC significantly increased the net photosynthetic rate, SPAD value, plant height and shoot biomass compared with the non‐primed peanut seedlings under salt stress. A significantly higher ratio of K + :Na + , reduced‐to‐oxidized glutathione (GSH:GSSG), and ascorbate‐to‐dehydroascorbate (AsA:DHA) were also observed for the plants primed with Z‐3‐HAC compared with the salt stress control. Meanwhile, Z‐3‐HAC significantly increased the activity of enzymes in the AsA‐GSH cycle. Taken together, these results highlight the importance of Z‐3‐HAC in protecting peanut seedlings against salt stress by affecting photosynthesis, cellular redox homeostasis, K + :Na + homeostasis, and phytohormones.
    Type of Medium: Online Resource
    ISSN: 0031-9317 , 1399-3054
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 208872-1
    detail.hit.zdb_id: 2020837-6
    SSG: 12
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  • 4
    Online Resource
    Online Resource
    Wiley ; 2023
    In:  Proteins: Structure, Function, and Bioinformatics Vol. 91, No. 8 ( 2023-08), p. 1032-1041
    In: Proteins: Structure, Function, and Bioinformatics, Wiley, Vol. 91, No. 8 ( 2023-08), p. 1032-1041
    Abstract: RNA‐binding proteins (RBPs) play significant roles in many biological life activities, many algorithms and tools are proposed to predict RBPs for researching biological mechanisms of RNA‐protein binding sites. Deep learning algorithms based on traditional machine learning get better result for predicting RBPs. Recently, deep learning method fused with attention mechanism has attracted huge attention in many fields and gets competitive result. Thus, attention mechanism module may also improve model performance for predicting RNA‐protein binding sites. In this study, we propose convolutional residual multi‐head self‐attention network (CRMSNet) that combines convolutional neural network (CNN), ResNet, and multi‐head self‐attention blocks to find RBPs for RNA sequence. First, CRMSNet incorporates convolutional neural networks, recurrent neural networks, and multi‐head self‐attention block. Second, CRMSNet can draw binding motif pictures from the convolutional layer parameters. Third, attention mechanism module combines the local and global RNA sequence information for capturing long sequence feature. CRMSNet gets competitive AUC (area under the receiver operating characteristic [ROC] curve) result in a large‐scale dataset RBP‐24. And CRMSNet experiment result is also compared with other state‐of‐the‐art methods. The source code of our proposed CRMSNet method can be found in https://github.com/biomg/CRMSNet .
    Type of Medium: Online Resource
    ISSN: 0887-3585 , 1097-0134
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 1475032-6
    SSG: 12
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