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Global analyses of human immune variation reveal baseline predictors of postvaccination responses.

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TLDR
Independent of age and pre-existing antibody titers, accurate models could be constructed using pre-perturbation cell populations alone, which were validated using independent baseline time points.
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This article is published in Cell.The article was published on 2014-04-10 and is currently open access. It has received 352 citations till now.

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Variation in the Human Immune System Is Largely Driven by Non-Heritable Influences

TL;DR: A systems-level analysis of 210 healthy twins between 8 and 82 years of age found that 77% of parameters, including cell population frequencies, cytokine responses, and serum proteins, are dominated by non-heritable influences, and in MZ twins discordant for cytomegalovirus infection, more than half of all parameters are affected.
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Human immune system variation

TL;DR: The human immune system is highly variable between individuals but relatively stable over time within a given person, but symbiotic and pathogenic microbes and other non-heritable influences explain most of this variation.
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Stereotypic Immune System Development in Newborn Children

TL;DR: This article performed longitudinal analyses in 100 newborn children, sampled up to 4 times during their first 3 months of life, and analyzed the development of 58 immune cell populations by mass cytometry and 267 plasma proteins by immunoassays.
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Emerging concepts in the science of vaccine adjuvants.

TL;DR: A review of the known knowns and known unknowns of adjuvants can be found in this article, where the authors discuss emerging concepts and highlight how our expanding knowledge about innate immunity and systems vaccinology are revitalizing the science and development of novel adjuants for use in vaccines against COVID-19 and future pandemics.
References
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Journal ArticleDOI

Controlling the false discovery rate: a practical and powerful approach to multiple testing

TL;DR: In this paper, a different approach to problems of multiple significance testing is presented, which calls for controlling the expected proportion of falsely rejected hypotheses -the false discovery rate, which is equivalent to the FWER when all hypotheses are true but is smaller otherwise.
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Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments

TL;DR: The hierarchical model of Lonnstedt and Speed (2002) is developed into a practical approach for general microarray experiments with arbitrary numbers of treatments and RNA samples and the moderated t-statistic is shown to follow a t-distribution with augmented degrees of freedom.
Journal Article

Prevention and control of influenza : recommendations of the Advisory Committee on Immunization Practices (ACIP)

TL;DR: This report updates the 2000 recommendations by the Advisory Committee on Immunization Practices on the use of influenza vaccine and antiviral agents with new or updated information regarding the cost-effectiveness of influenza vaccination and the 2001-2002 trivalent vaccine virus strains.
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Computational systems biology

Hiroaki Kitano
- 14 Nov 2002 - 
TL;DR: The reviews in this Insight cover many different aspects of this energetic field, although all, in one way or another, illuminate the functioning of modular circuits, including their robustness, design and manipulation.
Journal ArticleDOI

Capturing heterogeneity in gene expression studies by surrogate variable analysis.

TL;DR: This work introduces “surrogate variable analysis” (SVA) to overcome the problems caused by heterogeneity in expression studies and shows that SVA increases the biological accuracy and reproducibility of analyses in genome-wide expression studies.
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