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  1. Article ; Online: Big (sequencing) future of non-coding RNA research for the understanding of cocaine.

    Wu, Da-Yu

    Frontiers in genetics

    2012  Volume 3, Page(s) 158

    Language English
    Publishing date 2012-09-03
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2606823-0
    ISSN 1664-8021 ; 1664-8021
    ISSN (online) 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2012.00158
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Water-soluble polymeric chemosensor for selective detection of Hg(2+) in aqueous solution using rhodamine-based modified poly(acrylamide-acrylic acid).

    Geng, Tong-Mou / Wu, Da-Yu

    Luminescence : the journal of biological and chemical luminescence

    2015  Volume 30, Issue 8, Page(s) 1263–1268

    Abstract: We report the fabrication of a novel easily available turn-on fluorescent water-soluble polymeric chemosensor for Hg(2+) ions that was simply prepared by micellar free radical polymerization of a water-insoluble organic rhodamine-based Hg(2+)-recognizing ...

    Abstract We report the fabrication of a novel easily available turn-on fluorescent water-soluble polymeric chemosensor for Hg(2+) ions that was simply prepared by micellar free radical polymerization of a water-insoluble organic rhodamine-based Hg(2+)-recognizing monomer (GR6GH), with hydrophilic monomers acrylamide (AM) and acrylic acid (AA). The chemical structure of the polymeric sensor was characterized by FT-IR and (1)H NMR spectroscopy. The apparent viscosity average molecular weight Mη of poly(acrylamide-acrylic acid) [poly(AM-NaAA)] and the water-soluble polymeric chemosensor poly(AM-NaAA-GR6GH) were 1.76 × 10(6) and 6.84 × 10(4) g/mol, respectively. Because of its amphiphilic property, the water-soluble polymeric chemosensor can be used as a chemosensor in aqueous media. Upon addition of Hg(2+) ions to an aqueous solution of poly(AM-NaAA-GR6GH), fluorescence enhancements were observed instantly. Moreover, other metal ions did not induce obvious changes to the fluorescence spectra. This approach may provide an easily measurable and inherently sensitive method for Hg(2+) ion detection in environmental and biological applications.
    MeSH term(s) Acrylamide/chemistry ; Acrylates/chemistry ; Fluorescence ; Luminescent Measurements/instrumentation ; Luminescent Measurements/methods ; Mercury/analysis ; Polymers/chemistry ; Rhodamines/chemistry ; Water Pollutants, Chemical/analysis
    Chemical Substances Acrylates ; Polymers ; Rhodamines ; Water Pollutants, Chemical ; Acrylamide (20R035KLCI) ; Mercury (FXS1BY2PGL) ; acrylic acid (J94PBK7X8S)
    Language English
    Publishing date 2015-12
    Publishing country England
    Document type Evaluation Studies ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1470995-8
    ISSN 1522-7243 ; 1522-7235 ; 1099-1271
    ISSN (online) 1522-7243
    ISSN 1522-7235 ; 1099-1271
    DOI 10.1002/bio.2890
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    In stock of ZB MED Cologne/Königswinter

    Zs.B 2962: Show issues Location:
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  3. Article ; Online: Molecular neuroanatomy: a generation of progress.

    Pollock, Jonathan D / Wu, Da-Yu / Satterlee, John S

    Trends in neurosciences

    2013  Volume 37, Issue 2, Page(s) 106–123

    Abstract: The neuroscience research landscape has changed dramatically over the past decade. Specifically, an impressive array of new tools and technologies have been generated, including but not limited to: brain gene expression atlases, genetically encoded ... ...

    Abstract The neuroscience research landscape has changed dramatically over the past decade. Specifically, an impressive array of new tools and technologies have been generated, including but not limited to: brain gene expression atlases, genetically encoded proteins to monitor and manipulate neuronal activity, and new methods for imaging and mapping circuits. However, despite these technological advances, several significant challenges must be overcome to enable a better understanding of brain function and to develop cell type-targeted therapeutics to treat brain disorders. This review provides an overview of some of the tools and technologies currently being used to advance the field of molecular neuroanatomy, and also discusses emerging technologies that may enable neuroscientists to address these crucial scientific challenges over the coming decade.
    MeSH term(s) Animals ; Humans ; Molecular Biology/methods ; Molecular Biology/trends ; Neuroanatomy/methods ; Neuroanatomy/trends
    Language English
    Publishing date 2013-12-31
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 282488-7
    ISSN 1878-108X ; 0378-5912 ; 0166-2236
    ISSN (online) 1878-108X
    ISSN 0378-5912 ; 0166-2236
    DOI 10.1016/j.tins.2013.11.001
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1442: Show issues Location:
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    Zs.MG 53: Show issues

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  4. Article ; Online: Bioinformatic challenges of big data in non-coding RNA research.

    Liu, Christina H / Wu, Da-Yu / Pollock, Jonathan D

    Frontiers in genetics

    2012  Volume 3, Page(s) 178

    Language English
    Publishing date 2012-09-11
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2606823-0
    ISSN 1664-8021 ; 1664-8021
    ISSN (online) 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2012.00178
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  5. Article ; Online: Decoding drug abuse in noncoding RNA?

    Wu, Da-Yu / Saterlee, John S

    TheScientificWorldJournal

    2007  Volume 7, Page(s) 142–145

    MeSH term(s) Animals ; Humans ; Nervous System Diseases/genetics ; RNA, Untranslated/genetics ; Substance-Related Disorders/genetics
    Chemical Substances RNA, Untranslated
    Language English
    Publishing date 2007-11-02
    Publishing country United States
    Document type Editorial
    ZDB-ID 2075968-X
    ISSN 1537-744X ; 1537-744X
    ISSN (online) 1537-744X
    ISSN 1537-744X
    DOI 10.1100/tsw.2007.260
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Turn-on fluorogenic and chromogenic detection of Fe3+ and Cr3+ in a completely water medium with polyacrylamide covalently bonding to rhodamine B using diethylenetriamine as a linker

    Geng, TongMou / Huang, RongYi / Wu, DaYu

    RSC advances. 2014 Sept. 24, v. 4, no. 86

    2014  

    Abstract: A new monomeric fluorophore N-acryl-N′′-(rhodamine B-yl) diethylenetriamine (ARBD) was synthesized. Free radical precipitation copolymerization was carried out in order to prepare a water-soluble fluorescent copolymer (poly(AM–ARBD)), based on acrylamide. ...

    Abstract A new monomeric fluorophore N-acryl-N′′-(rhodamine B-yl) diethylenetriamine (ARBD) was synthesized. Free radical precipitation copolymerization was carried out in order to prepare a water-soluble fluorescent copolymer (poly(AM–ARBD)), based on acrylamide. The chemical constitution of poly(AM–ARBD) was studied by FTIR and 1H NMR spectroscopy. The fluorescent characteristic of the aqueous solutions of the copolymer was investigated both in varied pH and in the presence of metal cations. It was found that polymeric sensors exhibited high selectivity and sensitivity in colorimetric and fluorescence responses toward Fe3+ and Cr3+ over other metal ions. The polymeric sensors were non-fluorescent in the spirolactam form and could be selectively converted into the fluorescent ring-opened amide form in the presence of Fe3+ or Cr3+ ions that lead to fluorescence enhancements and colorimetric changes from colorless to red or pink, respectively. Fe3+ and Cr3+ can be sensed with a detection limit at 1.34 × 10−4 and 9.90 × 10−6 mol L−1, respectively. The combination of water solubility and positive fluorescence response as well as color change is therefore particularly promising for the practical utility of this sensor.
    Keywords acrylamides ; aqueous solutions ; chemical bonding ; chromium ; color ; colorimetry ; composite polymers ; copolymerization ; detection limit ; fluorescence ; fluorescent dyes ; Fourier transform infrared spectroscopy ; free radicals ; iron ; metal ions ; nuclear magnetic resonance spectroscopy ; pH ; polyacrylamide ; rhodamines ; water solubility
    Language English
    Dates of publication 2014-0924
    Size p. 46332-46339.
    Publishing place The Royal Society of Chemistry
    Document type Article
    ISSN 2046-2069
    DOI 10.1039/c4ra08640f
    Database NAL-Catalogue (AGRICOLA)

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  7. Article ; Online: Seminars in Cell & Developmental Biology. The molecular and cellular mechanisms in the development of addiction. Editorial.

    Wu, Da-Yu / Pollock, Jonathan D / Shurtleff, David

    Seminars in cell & developmental biology

    2009  Volume 20, Issue 4, Page(s) 377

    MeSH term(s) Humans ; Mental Disorders/etiology ; Mental Disorders/pathology ; Neurodegenerative Diseases/etiology ; Neurodegenerative Diseases/pathology ; Substance-Related Disorders/etiology ; Substance-Related Disorders/pathology
    Language English
    Publishing date 2009-06
    Publishing country England
    Document type Editorial ; Introductory Journal Article
    ZDB-ID 1312473-0
    ISSN 1096-3634 ; 1084-9521
    ISSN (online) 1096-3634
    ISSN 1084-9521
    DOI 10.1016/j.semcdb.2009.03.002
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2918: Show issues Location:
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    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  8. Article: Quantitative assessment of the role of undocumented infection in the 2019 novel coronavirus (COVID-19) pandemic

    Long, Yong-Shang / Zhai, Zheng-Meng / Han, Li-Lei / Kang, Jie / Li, Yi-Lin / Lin, Zhao-Hua / Zeng, Lang / Wu, Da-Yu / Hao, Chang-Qing / Tang, Ming / Liu, Zonghua / Lai, Ying-Cheng

    Abstract: An urgent problem in controlling COVID-19 spreading is to understand the role of undocumented infection. We develop a five-state model for COVID-19, taking into account the unique features of the novel coronavirus, with key parameters determined by the ... ...

    Abstract An urgent problem in controlling COVID-19 spreading is to understand the role of undocumented infection. We develop a five-state model for COVID-19, taking into account the unique features of the novel coronavirus, with key parameters determined by the government reports and mathematical optimization. Tests using data from China, South Korea, Italy, and Iran indicate that the model is capable of generating accurate prediction of the daily accumulated number of confirmed cases and is entirely suitable for real-time prediction. The drastically disparate testing and diagnostic standards/policies among different countries lead to large variations in the estimated parameter values such as the duration of the outbreak, but such uncertainties have little effect on the occurrence time of the inflection point as predicted by the model, indicating its reliability and robustness. Model prediction for Italy suggests that insufficient government action leading to a large fraction of undocumented infection plays an important role in the abnormally high mortality in that country. With the data currently available from United Kingdom, our model predicts catastrophic epidemic scenarios in the country if the government did not impose strict travel and social distancing restrictions. A key finding is that, if the percentage of undocumented infection exceeds a threshold, a non-negligible hidden population can exist even after the the epidemic has been deemed over, implying the likelihood of future outbreaks should the currently imposed strict government actions be relaxed. This could make COVID-19 evolving into a long-term epidemic or a community disease a real possibility, suggesting the necessity to conduct universal testing and monitoring to identify the hidden individuals.
    Keywords covid19
    Publisher ArXiv
    Document type Article
    Database COVID19

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  9. Article ; Online: State-by-State prediction of likely COVID-19 scenarios in the United States and assessment of the role of testing and control measures

    Zhai, Zheng-Meng / Long, Yong-Shang / Kang, Jie / Li, Yi-Lin / Zeng, Lang / Han, Li-Lei / Lin, Zhao-Hua / Zeng, Yin-Qi / Wu, Da-Yu / Tang, Ming / Xu, Di / Liu, Zonghua / Lai, Ying-Cheng

    medRxiv

    Abstract: Due to the heterogeneity among the States in the US, predicting COVID-19 trends and quantitatively assessing the effects of government testing capability and control measures need to be done via a State-by-State approach. We develop a comprehensive model ...

    Abstract Due to the heterogeneity among the States in the US, predicting COVID-19 trends and quantitatively assessing the effects of government testing capability and control measures need to be done via a State-by-State approach. We develop a comprehensive model for COVID-19 incorporating time delays and population movements. With key parameter values determined by empirical data, the model enables the most likely epidemic scenarios to be predicted for each State, which are indicative of whether testing services and control measures are vigorous enough to contain the disease. We find that government control measures play a more important role than testing in suppressing the epidemic. The vast disparities in the epidemic trends among the States imply the need for long-term placement of control measures to fully contain COVID-19.
    Keywords covid19
    Language English
    Publishing date 2020-04-29
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2020.04.24.20078774
    Database COVID19

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  10. Book ; Online: Quantitative assessment of the role of undocumented infection in the 2019 novel coronavirus (COVID-19) pandemic

    Long, Yong-Shang / Zhai, Zheng-Meng / Han, Li-Lei / Kang, Jie / Li, Yi-Lin / Lin, Zhao-Hua / Zeng, Lang / Wu, Da-Yu / Hao, Chang-Qing / Tang, Ming / Liu, Zonghua / Lai, Ying-Cheng

    2020  

    Abstract: An urgent problem in controlling COVID-19 spreading is to understand the role of undocumented infection. We develop a five-state model for COVID-19, taking into account the unique features of the novel coronavirus, with key parameters determined by the ... ...

    Abstract An urgent problem in controlling COVID-19 spreading is to understand the role of undocumented infection. We develop a five-state model for COVID-19, taking into account the unique features of the novel coronavirus, with key parameters determined by the government reports and mathematical optimization. Tests using data from China, South Korea, Italy, and Iran indicate that the model is capable of generating accurate prediction of the daily accumulated number of confirmed cases and is entirely suitable for real-time prediction. The drastically disparate testing and diagnostic standards/policies among different countries lead to large variations in the estimated parameter values such as the duration of the outbreak, but such uncertainties have little effect on the occurrence time of the inflection point as predicted by the model, indicating its reliability and robustness. Model prediction for Italy suggests that insufficient government action leading to a large fraction of undocumented infection plays an important role in the abnormally high mortality in that country. With the data currently available from United Kingdom, our model predicts catastrophic epidemic scenarios in the country if the government did not impose strict travel and social distancing restrictions. A key finding is that, if the percentage of undocumented infection exceeds a threshold, a non-negligible hidden population can exist even after the the epidemic has been deemed over, implying the likelihood of future outbreaks should the currently imposed strict government actions be relaxed. This could make COVID-19 evolving into a long-term epidemic or a community disease a real possibility, suggesting the necessity to conduct universal testing and monitoring to identify the hidden individuals.

    Comment: 20 pages, 7 figures
    Keywords Quantitative Biology - Populations and Evolution ; covid19
    Subject code 612
    Publishing date 2020-03-26
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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