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  • Researchers Probe Why Vaccine Responses Differ From Person to Person

    A team of researchers led by Yale School of Medicine’s Steven Kleinstein, PhD, is striving to understand why some people’s immune systems generate a robust protective response post-vaccination while others’ fail, and how this differs across vaccines. The team has published a series of new papers on its investigations.

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  • Researchers elucidate immune response to flu vaccine

    A collaboration among researchers at the Yale School of Medicine and 10 other research institutions has discovered gene signatures — or related sets of genes — associated with the immune response to the influenza vaccination.

    Source: Yale Daily News
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    Cutting-edge tools and analyses are digging deeper than ever before to unveil the intricacies of the diverse human immune system. Vaccines save lives — but they don’t always work. Take the annual influenza shot: by some estimates, flu vaccines are only 50–70% effective even when well matched to the virus strains in broad circulation. Despite all the research, scientists still cannot predict whether a given vaccine will work for any specific person.

    Source: Nature
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  • Big Data Tool to Reveal Immune System Role in Diseases

    ImmuNet is a new online tool that predicts the role of key proteins and genes in diseases of the human immune system. Details of the publically available resource were the cover story in the September 15, 2015 issue of the journal Immunity. The tool uses information compiled from 38,088 public experiments to predict new immune pathway interactions, mechanisms, and disease-associated genes. With advances in inexpensive computing power, and stored data collections becoming massive in the era of “big data,” researchers are now able to combine algorithms and models into tools like ImmuNet that pull previously unrecognized disease patterns from databases. These computational patterns are predictive, and researchers can test them with further experiments.

    Source: Cell
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