Publications by authors named "Lyda M Brown"

Article Synopsis
  • Men of African descent experience the highest rates of prostate cancer, but the genetic factors behind this have not been thoroughly explored.
  • Researchers analyzed genetic data from nearly 4,000 prostate cancer cases and over 3,500 controls across several African countries to identify specific genetic associations related to the disease.
  • The study found 15 significant genetic associations, including four new ones, highlighting that genetic variation in prostate cancer is influenced by unique African alleles, suggesting that more research in diverse populations is crucial for understanding cancer genetics.
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Lengths of telomeres vary by an order of magnitude across mammalian species. Similarly, age- and sex-standardized telomere lengths differ by up to 1 kb (14%) across human populations. How to explain these differences? Telomeres play a central role in senescence and aging, and genes that affect telomere length are likely under weak selection (i.

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Article Synopsis
  • The study focuses on the Boletaceae mushroom family, which includes porcini mushrooms, and aims to resolve their evolutionary relationships using extensive genomic data from 418 specimens.
  • A comprehensive phylogenetic analysis provided strong statistical support for most branches of the family tree, identifying new subfamilies and estimating the family's origin in the early Cretaceous.
  • The research highlights the complex history of Boletaceae, linking their dispersal and diversification to significant geological events, and lays the groundwork for future studies on their biogeography.
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Unlabelled: Standard approaches to studying an interactome do not easily allow conditional experiments but in recent years numerous groups have demonstrated the potential for co-fractionation/co-migration based approaches to assess an interactome at a similar sensitivity and specificity yet significantly lower cost and higher speed than traditional approaches. Unfortunately, there is as yet no implementation of the bioinformatics tools required to robustly analyze co-fractionation data in a way that can also integrate the valuable information contained in biological replicates. Here we have developed a freely available, integrated bioinformatics solution for the analysis of protein correlation profiling SILAC data.

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The discovery of new functions for platelets, particularly in inflammation and immunity, has expanded the role of these anucleate cell fragments beyond their primary hemostatic function. Here, four in-depth human platelet proteomic data sets were generated to explore potential new functions for platelets based on their protein content and this led to the identification of 2559 high confidence proteins. During a more detailed analysis, consistently high expression of the proteasome was discovered, and the composition and function of this complex, whose role in platelets has not been thoroughly investigated, was examined.

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