Search Results - "Hashimoto, Ronaldo F."

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  1. 1

    Network analysis reveals that the tumor suppressor lncRNA GAS5 acts as a double-edged sword in response to DNA damage in gastric cancer by Gupta, Shantanu, Panda, Pritam Kumar, Luo, Wei, Hashimoto, Ronaldo F., Ahuja, Rajeev

    Published in Scientific reports (31-10-2022)
    “…The lncRNA GAS5 acts as a tumor suppressor and is downregulated in gastric cancer (GC). In contrast, E2F1, an important transcription factor and tumor…”
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  2. 2

    Dynamical Analysis of a Boolean Network Model of the Oncogene Role of lncRNA ANRIL and lncRNA UFC1 in Non-Small Cell Lung Cancer by Gupta, Shantanu, Hashimoto, Ronaldo F

    Published in Biomolecules (Basel, Switzerland) (09-03-2022)
    “…Long non-coding RNA (lncRNA) such as ANRIL and UFC1 have been verified as oncogenic genes in non-small cell lung cancer (NSCLC). It is well known that the…”
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  3. 3

    Dynamical modeling of miR-34a, miR-449a, and miR-16 reveals numerous DDR signaling pathways regulating senescence, autophagy, and apoptosis in HeLa cells by Gupta, Shantanu, Panda, Pritam Kumar, Hashimoto, Ronaldo F., Samal, Shailesh Kumar, Mishra, Suman, Verma, Suresh Kr, Mishra, Yogendra Kumar, Ahuja, Rajeev

    Published in Scientific reports (22-03-2022)
    “…Transfection of tumor suppressor miRNAs such as miR-34a, miR-449a, and miR-16 with DNA damage can regulate apoptosis and senescence in cancer cells. miR-16 has…”
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  4. 4

    LncRNA PTENP1/miR-21/PTEN Axis Modulates EMT and Drug Resistance in Cancer: Dynamic Boolean Modeling for Cell Fates in DNA Damage Response by Gupta, Shantanu, Silveira, Daner A, Lorenzoni, Pedro R, Mombach, Jose Carlos M, Hashimoto, Ronaldo F

    “…It is well established that microRNA-21 (miR-21) targets phosphatase and tensin homolog (PTEN), facilitating epithelial-to-mesenchymal transition (EMT) and…”
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  5. 5

    Quadra-Stable Dynamics of p53 and PTEN in the DNA Damage Response by Gupta, Shantanu, Panda, Pritam Kumar, Silveira, Daner A, Ahuja, Rajeev, Hashimoto, Ronaldo F

    Published in Cells (Basel, Switzerland) (01-04-2023)
    “…Cell fate determination is a complex process that is frequently described as cells traveling on rugged pathways, beginning with DNA damage response (DDR)…”
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  6. 6

    The lncRNA DLX6-AS1/miR-16-5p axis regulates autophagy and apoptosis in non-small cell lung cancer: A Boolean model of cell death by Gupta, Shantanu, Silveira, Daner A., Mombach, José Carlos M., Hashimoto, Ronaldo F.

    Published in Non-coding RNA research (01-12-2023)
    “…Long non-coding RNA (lncRNA) distal-less homeobox 6 antisense RNA 1 (DLX6-AS1) is elevated in a variety of cancers, including non-small cell lung cancer…”
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  7. 7

    A Boolean Model of the Proliferative Role of the lncRNA XIST in Non-Small Cell Lung Cancer Cells by Gupta, Shantanu, Silveira, Daner A, Hashimoto, Ronaldo F, Mombach, Jose Carlos M

    Published in Biology (Basel, Switzerland) (22-03-2022)
    “…The long non-coding RNA X inactivate-specific transcript (lncRNA XIST) has been verified as an oncogenic gene in non-small cell lung cancer (NSCLC) whose…”
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  8. 8

    A dynamic Boolean network reveals that the BMI1 and MALAT1 axis is associated with drug resistance by limiting miR-145-5p in non-small cell lung cancer by Gupta, Shantanu, Silveira, Daner A., Piedade, Gabriel P.S., Ostrowski, Miguel P., Mombach, José Carlos M., Hashimoto, Ronaldo F.

    Published in Non-coding RNA research (01-03-2024)
    “…Patients with non-small cell lung cancer (NSCLC) are often treated with chemotherapy. Poor clinical response and the onset of chemoresistance limit the…”
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  9. 9

    A Boolean model of the oncogene role of FAM111B in lung adenocarcinoma by Gupta, Shantanu, Silveira, Daner A., Hashimoto, Ronaldo F.

    Published in Computational biology and chemistry (01-10-2023)
    “…The ultimate goal of this study is to analyze the gene regulation between FAM111B and p53 in lung adenocarcinoma using Boolean networks. Recent studies have…”
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  10. 10

    Efficient component-hypertree construction based on hierarchy of partitions by Morimitsu, Alexandre, Passat, Nicolas, L Alves, Wonder A., Hashimoto, Ronaldo F.

    Published in Pattern recognition letters (01-07-2020)
    “…•Choice of neighborhoods for efficient component-hypertree construction.•Development of a neighborhood based on hierarchy of partitions.•Usage of a pyramidal…”
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  11. 11
  12. 12

    Image segmentation based on ultimate levelings: From attribute filters to machine learning strategies by Alves, Wonder A.L., Gobber, Charles F., Silva, Dennis J., Morimitsu, Alexandre, Hashimoto, Ronaldo F., Marcotegui, Beatriz

    Published in Pattern recognition letters (01-05-2020)
    “…•A learning strategy combined with ultimate levelings.•A novel hierarchical structure called residual tree.•Extraction of objects of interest from a residual…”
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  13. 13

    Ultimate levelings by Alves, Wonder A.L., Hashimoto, Ronaldo F., Marcotegui, Beatriz

    Published in Computer vision and image understanding (01-12-2017)
    “…•A larger class of residual operator based on families of levelings.•Strategies for choosing family of primitives through trees.•Strategies for filtering…”
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  14. 14

    Entropic Biological Score: a cell cycle investigation for GRNs inference by Lopes, Fabrício M., Ray, Shubhra Sankar, Hashimoto, Ronaldo F., Cesar, Roberto M.

    Published in Gene (15-05-2014)
    “…Inference of gene regulatory networks (GRNs) is one of the most challenging research problems of Systems Biology. In this investigation, a new GRNs inference…”
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  15. 15

    From Mathematical Morphology to machine learning of image operators by Barrera, Junior, Hashimoto, Ronaldo F., Hirata, Nina S. T., Hirata, R., Reis, Marcelo S.

    “…Morphological image operators are a class of non-linear image mappings studied in Mathematical Morphology. Many significant theoretical results regarding the…”
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  16. 16

    NERI: network-medicine based integrative approach for disease gene prioritization by relative importance by Simões, Sérgio N, Martins, Jr, David C, Pereira, Carlos A B, Hashimoto, Ronaldo F, Brentani, Helena

    Published in BMC bioinformatics (16-12-2015)
    “…Complex diseases are characterized as being polygenic and multifactorial, so this poses a challenge regarding the search for genes related to them. With the…”
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  17. 17

    Signaling transcript profile of the asexual intraerythrocytic development cycle of Plasmodium falciparum induced by melatonin and cAMP by Lima, Wânia Rezende, Tessarin-Almeida, Giulliana, Rozanski, Andrei, Parreira, Kleber S, Moraes, Miriam S, Martins, David C, Hashimoto, Ronaldo F, Galante, Pedro A F, Garcia, Célia R S

    Published in Genes & cancer (01-09-2016)
    “…According to the World Health Organization (WHO), is the deadliest parasite among all species. This parasite possesses the ability to sense molecules,…”
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  18. 18

    Growing genetic regulatory networks from seed genes by Hashimoto, Ronaldo F., Kim, Seungchan, Shmulevich, Ilya, Zhang, Wei, Bittner, Michael L., Dougherty, Edward R.

    Published in Bioinformatics (22-05-2004)
    “…Motivation: A number of models have been proposed for genetic regulatory networks. In principle, a network may contain any number of genes, so long as data are…”
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  19. 19

    Growing Seed Genes from Time Series Data and Thresholded Boolean Networks with Perturbation by Higa, Carlos H. A., Andrade, Tales P., Hashimoto, Ronaldo F.

    “…Models of gene regulatory networks (GRN) have been proposed along with algorithms for inferring their structure. By structure, we mean the relationships among…”
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  20. 20

    Assessing the gain of biological data integration in gene networks inference by Vicente, Fábio F R, Lopes, Fabrício M, Hashimoto, Ronaldo F, Cesar, Jr, Roberto M

    Published in BMC genomics (2012)
    “…A current challenge in gene annotation is to define the gene function in the context of the network of relationships instead of using single genes. The…”
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