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Mark James Davis

Researcher at University of Bedfordshire

Publications -  9
Citations -  387

Mark James Davis is an academic researcher from University of Bedfordshire. The author has contributed to research in topics: Analyte & Gene. The author has an hindex of 4, co-authored 9 publications receiving 367 citations.

Papers
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Journal ArticleDOI

Acid tolerance in Listeria monocytogenes: the adaptive acid tolerance response (ATR) and growth-phase-dependent acid resistance

TL;DR: Listeria monocytogenes acquired increased acid tolerance during exponential growth upon exposure to sublethal acid stress, a response designated the acid tolerance response (ATR), and developed increased acid resistance upon entry into the stationary phase; this response appeared to be independent of the pH-dependent ATR seen during exponential Growth.
Journal ArticleDOI

Parallel and comparative analysis of the proteome and transcriptome of sorbic acid-stressed Saccharomyces cerevisiae

TL;DR: The induction of Hsp26, which occurs during adaptation to sorbic acid, confers resistance to the inhibitory effects of this compound, and it is demonstrated that a deletion mutant of HSP26 was sensitive to sorBic acid.
Patent

A protease detection product

TL;DR: A protease detection product for detecting a protease enzyme in a sample is described in this article, which consists of a medium (2) providing a liquid flow path; a labelled component (6) located downstream of the labelled component and immobilisation means (8) for immobilising the intact labelled component.
Journal ArticleDOI

Insights into the hyperglycosylation of human chorionic gonadotropin revealed by glycomics analysis.

TL;DR: Comparison N-glycomic analysis of hCG expressed in the same individuals during early and late pregnancy is performed to help provide new insights into hCG function, reveal new targets for diagnostics and clarify the identity of hyperglycosylated hCG.
Patent

A binding assay

TL;DR: In this paper, a binding assay product for detecting the presence of an analyte in a sample comprising a labelling module (5), a label, a capture module (9), and a visualisation module (10) is presented.