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  1. Book ; Online: Progression, Detection and Remission

    Pan, Sonjoy / Chakrabarty, Siddhartha P. / Raha, Soumyendu

    Evolution of Chronic Myeloid Leukemia using a three-stage probabilistic model

    2022  

    Abstract: We present a three-stage probabilistic model for the progression of Chronic Myeloid Leukemia (CML), as manifested by the leukemic stem cells, progenitor cells and mature leukemic cells. This progression is captured through the process of cell division ... ...

    Abstract We present a three-stage probabilistic model for the progression of Chronic Myeloid Leukemia (CML), as manifested by the leukemic stem cells, progenitor cells and mature leukemic cells. This progression is captured through the process of cell division and cell mutation, with probabilities of occurrence being assigned to both of them. The key contributions of this study include, the determination of the expected number of the leukemic stem cells, progenitor cells, mature leukemic cells, as well as total number of these cells (in terms of probabilities, and contingent on the initial cell count), expected time to reach a threshold level of total and injurious leukemic cells, as well as the critical time when the disease changes its phases, the probability of extinction of CML, and the dynamics of CML evolution consequent to primary therapy. Finally, the results obtained are demonstrated with numerical illustrations.
    Keywords Quantitative Biology - Populations and Evolution
    Subject code 612
    Publishing date 2022-04-22
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Book ; Online: A quantitative study on the role of TKI combined with Wnt/$\beta$-catenin signaling and IFN-$\alpha$ in the treatment of CML through deterministic and stochastic approaches

    Pan, Sonjoy / Raha, Soumyendu / Chakrabarty, Siddhartha P.

    2019  

    Abstract: We propose deterministic and stochastic models for studying the pharmacokinetics of chronic myeloid leukemia (CML), upon administration of IFN-$\alpha$ (the traditional treatment for CML), TKI (the current frontline medication for CML) and Wnt/$\beta$- ... ...

    Abstract We propose deterministic and stochastic models for studying the pharmacokinetics of chronic myeloid leukemia (CML), upon administration of IFN-$\alpha$ (the traditional treatment for CML), TKI (the current frontline medication for CML) and Wnt/$\beta$-catenin signaling (the state-of-the art therapeutic breakthrough for CML). To the best of our knowledge, no mathematical model incorporating all these three therapeutic protocols are available in literature. Further, this work introduces a stochastic approach in the study of CML dynamics. The key contributions of this work are: (1) Determination of the patient condition, contingent upon the patient specific model parameters, which leads to prediction of the appropriate patient specific therapeutic dosage. (2) Addressing the question of how the dual therapy of TKI and Wnt/$\beta$-catenin signaling or triple combination of all three, offers potentially improved therapeutic responses, particularly in terms of reduced side effects of TKI or IFN-$\alpha$. (3) Prediction of the likelihood of CML extinction/remission based on the level of CML stem cells at detection.
    Keywords Quantitative Biology - Tissues and Organs
    Publishing date 2019-03-22
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: A genome-wide survey reveals abundant rice blast R genes in resistant cultivars.

    Zhang, Xiaohui / Yang, Sihai / Wang, Jiao / Jia, Yanxiao / Huang, Ju / Tan, Shengjun / Zhong, Yan / Wang, Ling / Gu, Longjiang / Chen, Jian-Qun / Pan, Qinghua / Bergelson, Joy / Tian, Dacheng

    The Plant journal : for cell and molecular biology

    2015  Volume 84, Issue 1, Page(s) 20–28

    Abstract: Plant resistance genes (R genes) harbor tremendous allelic diversity, constituting a robust immune system effective against microbial pathogens. Nevertheless, few functional R genes have been identified for even the best-studied pathosystems. Does this ... ...

    Abstract Plant resistance genes (R genes) harbor tremendous allelic diversity, constituting a robust immune system effective against microbial pathogens. Nevertheless, few functional R genes have been identified for even the best-studied pathosystems. Does this limited repertoire reflect specificity, with most R genes having been defeated by former pests, or do plants harbor a rich diversity of functional R genes, the composite behavior of which is yet to be characterized? Here, we survey 332 NBS-LRR genes cloned from five resistant Oryza sativa (rice) cultivars for their ability to confer recognition of 12 rice blast isolates when transformed into susceptible cultivars. Our survey reveals that 48.5% of the 132 NBS-LRR loci tested contain functional rice blast R genes, with most R genes deriving from multi-copy clades containing especially diversified loci. Each R gene recognized, on average, 2.42 of the 12 isolates screened. The abundant R genes identified in resistant genomes provide extraordinary redundancy in the ability of host genotypes to recognize particular isolates. If the same is true for other pathogens, many extant NBS-LRR genes retain functionality. Our success at identifying rice blast R genes also validates a highly efficient cloning and screening strategy.
    MeSH term(s) Disease Resistance/genetics ; Genome-Wide Association Study ; Magnaporthe/physiology ; Oryza/genetics ; Oryza/microbiology ; Plant Proteins/genetics ; Sequence Analysis, DNA
    Chemical Substances Plant Proteins
    Language English
    Publishing date 2015-10
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 1088037-9
    ISSN 1365-313X ; 0960-7412
    ISSN (online) 1365-313X
    ISSN 0960-7412
    DOI 10.1111/tpj.12955
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: A genome‐wide survey reveals abundant rice blast R genes in resistant cultivars

    Zhang, Xiaohui / Yang, Sihai / Wang, Jiao / Jia, Yanxiao / Huang, Ju / Tan, Shengjun / Zhong, Yan / Wang, Ling / Gu, Longjiang / Chen, Jian‐Qun / Pan, Qinghua / Bergelson, Joy / Tian, Dacheng

    plant journal. 2015 Oct., v. 84, no. 1

    2015  

    Abstract: Plant resistance genes (R genes) harbor tremendous allelic diversity, constituting a robust immune system effective against microbial pathogens. Nevertheless, few functional R genes have been identified for even the best‐studied pathosystems. Does this ... ...

    Abstract Plant resistance genes (R genes) harbor tremendous allelic diversity, constituting a robust immune system effective against microbial pathogens. Nevertheless, few functional R genes have been identified for even the best‐studied pathosystems. Does this limited repertoire reflect specificity, with most R genes having been defeated by former pests, or do plants harbor a rich diversity of functional R genes, the composite behavior of which is yet to be characterized? Here, we survey 332 NBS‐LRR genes cloned from five resistant Oryza sativa (rice) cultivars for their ability to confer recognition of 12 rice blast isolates when transformed into susceptible cultivars. Our survey reveals that 48.5% of the 132 NBS‐LRR loci tested contain functional rice blast R genes, with most R genes deriving from multi‐copy clades containing especially diversified loci. Each R gene recognized, on average, 2.42 of the 12 isolates screened. The abundant R genes identified in resistant genomes provide extraordinary redundancy in the ability of host genotypes to recognize particular isolates. If the same is true for other pathogens, many extant NBS‐LRR genes retain functionality. Our success at identifying rice blast R genes also validates a highly efficient cloning and screening strategy.
    Keywords Oryza sativa ; blast disease ; cultivars ; functional diversity ; genes ; genotype ; immune system ; loci ; pathogens ; pests ; rice ; screening ; surveys
    Language English
    Dates of publication 2015-10
    Size p. 20-28.
    Publishing place Blackwell Scientific Publishers and BIOS Scientific Publishers in association with the Society for Experimental Biology
    Document type Article
    ZDB-ID 1088037-9
    ISSN 1365-313X ; 0960-7412
    ISSN (online) 1365-313X
    ISSN 0960-7412
    DOI 10.1111/tpj.12955
    Database NAL-Catalogue (AGRICOLA)

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