M
Melissa A. Cregger
Researcher at Oak Ridge National Laboratory
Publications - 46
Citations - 2776
Melissa A. Cregger is an academic researcher from Oak Ridge National Laboratory. The author has contributed to research in topics: Microbiome & Ecosystem. The author has an hindex of 20, co-authored 41 publications receiving 2200 citations. Previous affiliations of Melissa A. Cregger include University of Tennessee & University of Illinois at Urbana–Champaign.
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Journal ArticleDOI
Direct and indirect effects of climate change on soil microbial and soil microbial‐plant interactions: What lies ahead?
Aimée T. Classen,Aimée T. Classen,Maja K. Sundqvist,Maja K. Sundqvist,Jeremiah A. Henning,Gregory S. Newman,Jessica A. M. Moore,Melissa A. Cregger,Leigh C. Moorhead,Leigh C. Moorhead,Courtney M. Patterson +10 more
TL;DR: How climatic change affects soil microbes and soil microbe-plant interactions directly and indirectly is explored, and what ramifications changes in these interactions may have on the composition and function of ecosystems are discussed.
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Soil ecosystem functioning under climate change: plant species and community effects
TL;DR: Water, relative to increases in [CO2] and warming, had the largest impact on plant community composition, soil enzyme activity, and soil nematodes, and these indirect effects should be taken into account when predicting the manner in which global change will alter ecosystem functioning.
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The Populus holobiont: dissecting the effects of plant niches and genotype on the microbiome
Melissa A. Cregger,Allison M. Veach,Zamin Yang,M. J. Crouch,M. J. Crouch,Rytas Vilgalys,Gerald A. Tuskan,Christopher W. Schadt,Christopher W. Schadt +8 more
TL;DR: This study provides a holistic understanding of microbiome structure within a bioenergy relevant plant host, one of the most complete niche-level analyses of any plant and constitutes a detailed atlas or map for further hypothesis testing on the significance of individual microbial taxa within specific niches and habitats of Populus.
Journal ArticleDOI
Immunohistochemistry and quantitative analysis of protein expression.
TL;DR: The inherent subjectivity of the assessment of an objective value (the in situ protein concentration) suggests that new technologies to measure the protein concentration may be required to achieve the accuracy required for companion diagnostics.
Journal ArticleDOI
Quantitative In situ Analysis of β-Catenin Expression in Breast Cancer Shows Decreased Expression Is Associated with Poor Outcome
Marisa Dolled-Filhart,Anthony McCabe,Jennifer M. Giltnane,Melissa A. Cregger,Robert L. Camp,David L. Rimm +5 more
TL;DR: The results suggest that loss of beta-catenin expression at the membrane, as assessed by objective quantitative analysis methods, may be useful as a prognostic marker or may be part of a useful algorithm for prognosis in breast cancer.