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University of Nottingham

6 ARTICLES PUBLISHED IN JoVE

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Bioengineering

Polymer Microarrays for High Throughput Discovery of Biomaterials
Andrew L. Hook 1, Chien-Yi Chang 2, Jing Yang 1, David J. Scurr 1, Robert Langer 3, Daniel G. Anderson 3, Steve Atkinson 2, Paul Williams 2, Martyn C. Davies 1, Morgan R. Alexander 1
1Laboratory of Biophysics and Surface Analysis, University of Nottingham , 2School of Molecular Medical Sciences, University of Nottingham , 3David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology

A description of the formation of a polymer microarray using an on-chip photopolymerization technique. The high throughput surface characterization using atomic force microscopy, water contact angle measurements, X-ray photoelectron spectroscopy and time of flight secondary ion mass spectrometry and a cell attachment assay is also described.

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Behavior

Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI
Karen J. Mullinger 1, Pierluigi Castellone 2, Richard Bowtell 1
1Sir Peter Mansfield Magnetic Resonance Centre, School of Physics and Astronomy, University of Nottingham , 2Brain Products GmbH

Simultaneous electroencephalography (EEG) and functional Magnetic Resonance imaging (fMRI) is a powerful neuroimaging tool. However, the inside of an MRI scanner forms a difficult environment for EEG data recording and safety must be considered whenever operating EEG equipment inside a scanner. Here, we present an optimised EEG-fMRI data acquisition protocol.

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JoVE Journal

Mouse Fetal Liver Culture System to Dissect Target Gene Functions at the Early and Late Stages of Terminal Erythropoiesis
Baobing Zhao 1, Yang Mei 1, Jing Yang 1, Peng Ji 1
1Department of Pathology, Northwestern University

We present an in vitro mouse fetal liver erythroblast culture system that dissects the early and late stages of terminal erythropoiesis. This system facilitates functional analysis of specific genes in different developmental stages.

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Behavior

The Emotional Stroop Task: Assessing Cognitive Performance under Exposure to Emotional Content
Moshe Shay Ben-Haim 1, Paul Williams 2, Zachary Howard 2, Yaniv Mama 3, Ami Eidels 2, Daniel Algom 1
1School of Psychological Sciences, Tel-Aviv University, 2School of Psychology, University of Newcastle, 3Department of Behavioral Sciences, Ariel University

The emotional Stroop effect (ESE) is the result of longer naming latencies to ink colors of emotion words than those of neutral words. This report refers to potential sources of confounding and includes a modal experiment that provides the means to control for them.

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JoVE Journal

Light-mediated Reversible Modulation of the Mitogen-activated Protein Kinase Pathway during Cell Differentiation and Xenopus Embryonic Development
Vishnu V. Krishnamurthy *1, Aurora J. Turgeon *2, John S. Khamo 1, Payel Mondal 1, Savanna R. Sharum 1, Wenyan Mei 2, Jing Yang 2, Kai Zhang 1,3,4
1Department of Biochemistry, University of Illinois at Urbana-Champaign, 2Department of Comparative Biosciences, University of Illinois at Urbana-Champaign, 3Neuroscience Program, University of Illinois at Urbana-Champaign, 4Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign

This protocol describes an optogenetic strategy to modulate mitogen-activated protein kinase (MAPK) activity during cell differentiation and Xenopus embryonic development. This method allows for the reversible activation of the MAPK signaling pathway in mammalian cell culture and in multicellular live organisms, like Xenopus embryos, with high spatial and temporal resolution.

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Immunology and Infection

Automated, High-Throughput Detection of Bacterial Adherence to Host Cells
Jing Yang 1, Qing-Ming Qin 1, Erin Van Schaik 1, James E. Samuel 1, Paul de Figueiredo 1,2
1Department of Microbial Pathogenesis and Immunology, Texas A&M Health Science Center, 2College of Veterinary Medicine, Texas A&M University

Detection of host-bacterial pathogen interactions based on phenotypic adherence using high-throughput fluorescence labeling imaging along with automated statistical analysis methods enables rapid evaluation of potential bacterial interactions with host cells.

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