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Mark J. Howard

Researcher at University of Leeds

Publications -  16
Citations -  229

Mark J. Howard is an academic researcher from University of Leeds. The author has contributed to research in topics: Metabolome & Pyridine. The author has an hindex of 6, co-authored 16 publications receiving 128 citations. Previous affiliations of Mark J. Howard include University of Western Australia & University of Kent.

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Role of the cell membrane interface in modulating production and uptake of Alzheimer's beta amyloid protein.

TL;DR: The aim of this review is to highlight and summarize recent literature that have contributed insight into the implications of altered membrane composition on amyloid precursor protein (APP) proteolysis, production of Aβ, its internalization in to cells via permeabilization and receptor mediated uptake.
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Amylin and beta amyloid proteins interact to form amorphous heterocomplexes with enhanced toxicity in neuronal cells.

TL;DR: It is demonstrated that hIAPP promotes Aβ oligomerization and formation of small oligomer and large aggregate heterocomplexes, and rIAPP exhibited reductions in Aβ induced neuronal cell death that was independent of its ability to interact with Aβ and form heterocom complex; suggesting mediation by other pathways.
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NMR metabolomics reveals effects of Cryptosporidium infections on host cell metabolome

TL;DR: Using a 1H nuclear magnetic resonance approach to metabolomics, the nature of the mouse gut metabolome is explored as well as providing the first insight into the metabolome of an infected cell line, which will spearhead understanding of the Cryptosporidium-host metabolic exchange and provide novel targets for tackling this deadly parasite.
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Supramolecular Self-Sorting Networks using Hydrogen-Bonding Motifs.

TL;DR: Examination of the interactions between individual components, experimentally and computationally, provided a rationale for the product distribution during each phase of a cascade, resulting in the construction of a biomimetic network in which the presence or absence of different components provides multiple unique pathways to distinct self‐sorted configurations.