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LINK . SPRINGER . COM {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Link.springer.com Make Money
  6. Keywords
  7. Topics
  8. Schema
  9. External Links
  10. Analytics And Tracking
  11. Libraries
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We are analyzing https://link.springer.com/article/10.1007/s00239-024-10222-8.

Title:
Positive Selection Shapes Breast Cancer Tumor Suppressor Genes: Unveiling Insights into BRCA1, BRCA2, and MDC1 Stability | Journal of Molecular Evolution
Description:
Worldwide, breast cancer is the leading cause of death in women with cancers. Given this situation, new approaches to treatment are urgently needed. Tumor Suppressor Genes (TSGs) defects play a crucial role in tumor development, and recent studies propose their reactivation as a promising way for clinical intervention in breast cancer. Here, we performed detailed evolutionary analyses of 241 breast cancer TSGs across 25 mammalian genomes, revealing 28 genes under strong positive selection. These genes exhibit elevated molecular pressure in codons corresponding to amino acids located in crucial protein domains and motifs. Notably, one positively selected site in the BRCA1 C-terminal domain is known for its role in DNA damage response, suggesting potential interference with DNA repair mechanisms. Moreover, the substitution of some other sites found in important key motifs, namely two codons in BRCA2 (752 and 939) localized within the phosphoinositide-3-OH-kinase-related and playing a crucial role in the DNA repair and the DNA damage checkpoints. Our findings could be inspirational to foster future recommendations for drug-targeting sites and further illuminate the function of these proteins. Finally, the code developed in our study is delivered in the Automated tool for positive selection (ATPs) ( https://github.com/APS-P/Automated-Tool-for-Positive-Selection-ATPS-/wiki ) to assist the easy reproducibility and support future evolutionary genomics analyses.
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {📚}

  • Education
  • Science
  • Health & Fitness

Content Management System {📝}

What CMS is link.springer.com built with?

Custom-built

No common CMS systems were detected on Link.springer.com, and no known web development framework was identified.

Traffic Estimate {📈}

What is the average monthly size of link.springer.com audience?

🌠 Phenomenal Traffic: 5M - 10M visitors per month


Based on our best estimate, this website will receive around 5,000,016 visitors per month in the current month.

check SE Ranking
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How Does Link.springer.com Make Money? {💸}

We don't see any clear sign of profit-making.

The purpose of some websites isn't monetary gain; they're meant to inform, educate, or foster collaboration. Everyone has unique reasons for building websites. This could be an example. Link.springer.com has a secret sauce for making money, but we can't detect it yet.

Keywords {🔍}

pubmed, article, google, scholar, cas, cancer, central, brca, genes, breast, acids, nucleic, evolution, res, molecular, dna, biol, analysis, selection, antunes, contributed, positive, tumor, mohamed, suppressor, emam, genome, ddd, data, role, access, gene, mol, evol, httpsdoiorgs, zhang, privacy, cookies, content, information, journal, publish, research, manuscript, fadel, khaled, agostinho, evolutionary, damage, repair,

Topics {✒️}

month download article/chapter sief el-din sobih tumor suppressor genes positive-selection-atps-/wiki projects ptdc/cta-amb/31774/2017 triple-negative breast cancer drug-targeting sites strategic funding u-idb/04423/2020 brca1 c-terminal domain full article pdf strong positive selection molecular evolution aims targeting mutant p53 biochim biophys acta neutral mutation hypothesis pan-tumor survey terminal de cruzeiros privacy choices/manage cookies symbiotic gene nork cancer genome landscapes ubiquitination/de-ubiquitination breast cancer deciding springer international publishing related subjects positively selected genes genes successfully targeted kauvar lm nucleic acids research human cancer genes breast cancer choices human genome adaptation positive selection breast cancer risk agostinho antunes contributed foster future recommendations breast cancer models writing—original draft molecular evolution tumor development porto de leixões comparative cellular response holds exclusive rights article log efficient cancer therapy utah state university article journal mohamed emam dna damage response writing—review & editing european economic area

Schema {🗺️}

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         headline:Positive Selection Shapes Breast Cancer Tumor Suppressor Genes: Unveiling Insights into BRCA1, BRCA2, and MDC1 Stability
         description:Worldwide, breast cancer is the leading cause of death in women with cancers. Given this situation, new approaches to treatment are urgently needed. Tumor Suppressor Genes (TSGs) defects play a crucial role in tumor development, and recent studies propose their reactivation as a promising way for clinical intervention in breast cancer. Here, we performed detailed evolutionary analyses of 241 breast cancer TSGs across 25 mammalian genomes, revealing 28 genes under strong positive selection. These genes exhibit elevated molecular pressure in codons corresponding to amino acids located in crucial protein domains and motifs. Notably, one positively selected site in the BRCA1 C-terminal domain is known for its role in DNA damage response, suggesting potential interference with DNA repair mechanisms. Moreover, the substitution of some other sites found in important key motifs, namely two codons in BRCA2 (752 and 939) localized within the phosphoinositide-3-OH-kinase-related and playing a crucial role in the DNA repair and the DNA damage checkpoints. Our findings could be inspirational to foster future recommendations for drug-targeting sites and further illuminate the function of these proteins. Finally, the code developed in our study is delivered in the Automated tool for positive selection (ATPs) ( https://github.com/APS-P/Automated-Tool-for-Positive-Selection-ATPS-/wiki ) to assist the easy reproducibility and support future evolutionary genomics analyses.
         datePublished:2024-12-16T00:00:00Z
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      headline:Positive Selection Shapes Breast Cancer Tumor Suppressor Genes: Unveiling Insights into BRCA1, BRCA2, and MDC1 Stability
      description:Worldwide, breast cancer is the leading cause of death in women with cancers. Given this situation, new approaches to treatment are urgently needed. Tumor Suppressor Genes (TSGs) defects play a crucial role in tumor development, and recent studies propose their reactivation as a promising way for clinical intervention in breast cancer. Here, we performed detailed evolutionary analyses of 241 breast cancer TSGs across 25 mammalian genomes, revealing 28 genes under strong positive selection. These genes exhibit elevated molecular pressure in codons corresponding to amino acids located in crucial protein domains and motifs. Notably, one positively selected site in the BRCA1 C-terminal domain is known for its role in DNA damage response, suggesting potential interference with DNA repair mechanisms. Moreover, the substitution of some other sites found in important key motifs, namely two codons in BRCA2 (752 and 939) localized within the phosphoinositide-3-OH-kinase-related and playing a crucial role in the DNA repair and the DNA damage checkpoints. Our findings could be inspirational to foster future recommendations for drug-targeting sites and further illuminate the function of these proteins. Finally, the code developed in our study is delivered in the Automated tool for positive selection (ATPs) ( https://github.com/APS-P/Automated-Tool-for-Positive-Selection-ATPS-/wiki ) to assist the easy reproducibility and support future evolutionary genomics analyses.
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         Positive selection
         Breast cancer
         Drug targeting
         Tumor suppressor genes
         Evolutionary Biology
         Microbiology
         Plant Sciences
         Plant Genetics and Genomics
         Animal Genetics and Genomics
         Cell Biology
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            name:Nour H. Marzouk
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            name:Mohaned Bador
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                  address:
                     name:Bioinformatics Group, Center for Informatics Sciences (CIS), Nile University, Giza, Egypt
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      name:Habiba Abd-Elaty
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               name:Bioinformatics Group, Center for Informatics Sciences (CIS), Nile University, Giza, Egypt
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            address:
               name:Bioinformatics Group, Center for Informatics Sciences (CIS), Nile University, Giza, Egypt
               type:PostalAddress
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               name:Bioinformatics Group, Center for Informatics Sciences (CIS), Nile University, Giza, Egypt
               type:PostalAddress
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      name:Mohaned Bador
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            address:
               name:Bioinformatics Group, Center for Informatics Sciences (CIS), Nile University, Giza, Egypt
               type:PostalAddress
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      name:Agostinho Antunes
      url:http://orcid.org/0000-0002-1328-1732
      affiliation:
            name:University of Porto
            address:
               name:CIIMAR/CIMAR, Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Porto, Portugal
               type:PostalAddress
            type:Organization
            name:University of Porto
            address:
               name:Department of Biology, Faculty of Sciences, University of Porto, Porto, Portugal
               type:PostalAddress
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      email:[email protected]
      name:Mohamed El hadidi
      affiliation:
            name:Nile University
            address:
               name:Bioinformatics Group, Center for Informatics Sciences (CIS), Nile University, Giza, Egypt
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      name:Bioinformatics Group, Center for Informatics Sciences (CIS), Nile University, Giza, Egypt
      name:Bioinformatics Group, Center for Informatics Sciences (CIS), Nile University, Giza, Egypt
      name:CIIMAR/CIMAR, Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Porto, Portugal
      name:Department of Biology, Faculty of Sciences, University of Porto, Porto, Portugal
      name:Bioinformatics Group, Center for Informatics Sciences (CIS), Nile University, Giza, Egypt
      name:Department of Biology, Faculty of Sciences, Utah State University, Logan, USA
      name:Bioinformatics Group, Center for Informatics Sciences (CIS), Nile University, Giza, Egypt
      name:Bioinformatics Group, Center for Informatics Sciences (CIS), Nile University, Giza, Egypt
      name:Bioinformatics Group, Center for Informatics Sciences (CIS), Nile University, Giza, Egypt
      name:Bioinformatics Group, Center for Informatics Sciences (CIS), Nile University, Giza, Egypt
      name:Bioinformatics Group, Center for Informatics Sciences (CIS), Nile University, Giza, Egypt
      name:CIIMAR/CIMAR, Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Porto, Portugal
      name:Department of Biology, Faculty of Sciences, University of Porto, Porto, Portugal
      name:Bioinformatics Group, Center for Informatics Sciences (CIS), Nile University, Giza, Egypt
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