ORCID Profile
0000-0002-8710-5176
Current Organisation
University of Southampton
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Publisher: Informa UK Limited
Date: 2002
DOI: 10.1080/078538902320772133
Abstract: Recent advances in circadian biology are identifying key genes and the molecular clockworks they command. These biochemical systems provide new tools for evaluating clinically observed, intrinsic circadian rhythm sleep disorders. A striking ex le was last year's discovery of a point mutation in a human clock gene that produces a sleep phase syndrome. This finding suggested that other intrinsic sleep disorders may have genetic underpinnings, and that less debilitating variations in sleep/wake behavior may be revealed by molecular screening of known clock genes in broader human populations.
Publisher: Elsevier BV
Date: 11-2001
DOI: 10.1016/S0896-6273(01)00515-3
Abstract: Mechanisms composing Drosophila's clock are conserved within the animal kingdom. To learn how such clocks influence behavioral and physiological rhythms, we determined the complement of circadian transcripts in adult Drosophila heads. High-density oligonucleotide arrays were used to collect data in the form of three 12-point time course experiments spanning a total of 6 days. Analyses of 24 hr Fourier components of the expression patterns revealed significant oscillations for approximately 400 transcripts. Based on secondary filters and experimental verifications, a subset of 158 genes showed particularly robust cycling and many oscillatory phases. Circadian expression was associated with genes involved in erse biological processes, including learning and memory/synapse function, vision, olfaction, locomotion, detoxification, and areas of metabolism. Data collected from three different clock mutants (per(0), tim(01), and Clk(Jrk)), are consistent with both known and novel regulatory mechanisms controlling circadian transcription.
Publisher: SAGE Publications
Date: 10-2017
Abstract: Genome biology approaches have made enormous contributions to our understanding of biological rhythms, particularly in identifying outputs of the clock, including RNAs, proteins, and metabolites, whose abundance oscillates throughout the day. These methods hold significant promise for future discovery, particularly when combined with computational modeling. However, genome-scale experiments are costly and laborious, yielding “big data” that are conceptually and statistically difficult to analyze. There is no obvious consensus regarding design or analysis. Here we discuss the relevant technical considerations to generate reproducible, statistically sound, and broadly useful genome-scale data. Rather than suggest a set of rigid rules, we aim to codify principles by which investigators, reviewers, and readers of the primary literature can evaluate the suitability of different experimental designs for measuring different aspects of biological rhythms. We introduce CircaInSilico, a web-based application for generating synthetic genome biology data to benchmark statistical methods for studying biological rhythms. Finally, we discuss several unmet analytical needs, including applications to clinical medicine, and suggest productive avenues to address them.
Publisher: Public Library of Science (PLoS)
Date: 24-03-2006
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Herman Wijnen.