Revealing the time course of laser evoked potential habituation by high temporal resolution analysis

Leukocyte rolling, adhesion, and migration on vascular endothelium involve several sets of adhesion molecules that interact simultaneously. Each of these receptor-ligand pairs may play multiple roles. We examined the role of ICAM-1 in adhesive interactions with mouse aortic endothelial cells (MAECs) in an in vitro flow system. Average rolling velocity of the monocytic cell line WEHI 274.1 was increased on ICAM-1-deficient MAECs compared with wild-type MAECs, both with and without TNF-α stimulation. High-temporal-resolution analysis provided insights into the underlying basis for these differences. Without TNF-α stimulation, average rolling velocity was slower on wild-type than on ICAM-1-deficient endothelium because of brief (<1 s) pauses. On TNF-α-stimulated ICAM-1-deficient endothelium, cells rolled faster because of transient accelerations, producing “jerky” rolling. Firm adhesion to ICAM-1-deficient MAECs was significantly reduced compared with wild-type MAECs, although the number of rolling cells was similar. These results demonstrate directly that ICAM-1 affects rolling velocity by stabilizing leukocyte rolling.

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Partitioning of evaporation into transpiration, soil evaporation and interception: a comparison between isotope measurements and a HYDRUS-1D model

Hydrology and Earth System Sciences ◽

10.5194/hess-16-2605-2012 ◽

2012 ◽

Vol 16 (8) ◽

pp. 2605-2616 ◽

Cited By ~ 110

Author(s):

S. J. Sutanto ◽

J. Wenninger ◽

A. M. J. Coenders-Gerrits ◽

S. Uhlenbrook

Keyword(s):

Mass Balance ◽

Temporal Resolution ◽

Soil Evaporation ◽

High Temporal Resolution ◽

Total Evaporation ◽

Resolution Analysis ◽

1D Model ◽

Isotope Mass Balance ◽

Hydrus 1D ◽

Isotope Measurements

Abstract. Knowledge of the water fluxes within the soil-vegetation-atmosphere system is crucial to improve water use efficiency in irrigated land. Many studies have tried to quantify these fluxes, but they encountered difficulties in quantifying the relative contribution of evaporation and transpiration. In this study, we compared three different methods to estimate evaporation fluxes during simulated summer conditions in a grass-covered lysimeter in the laboratory. Only two of these methods can be used to partition total evaporation into transpiration, soil evaporation and interception. A water balance calculation (whereby rainfall, soil moisture and percolation were measured) was used for comparison as a benchmark. A HYDRUS-1D model and isotope measurements were used for the partitioning of total evaporation. The isotope mass balance method partitions total evaporation of 3.4 mm d−1 into 0.4 mm d−1 for soil evaporation, 0.3 mm d−1 for interception and 2.6 mm d−1 for transpiration, while the HYDRUS-1D partitions total evaporation of 3.7 mm d−1 into 1 mm d−1 for soil evaporation, 0.3 mm d−1 for interception and 2.3 mm d−1 for transpiration. From the comparison, we concluded that the isotope mass balance is better for low temporal resolution analysis than the HYDRUS-1D. On the other hand, HYDRUS-1D is better for high temporal resolution analysis than the isotope mass balance.

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High temporal resolution RNA-seq time course data reveals mammalian lncRNA activation mirrors neighbouring protein-coding genes

10.1101/2021.08.25.457323 ◽

2021 ◽

Author(s):

Walter Muskovic ◽

Eva Slavich ◽

Ben Maslen ◽

Dominik Kaczorowski ◽

Joseph Cursons ◽

...

Keyword(s):

Gene Expression ◽

Temporal Resolution ◽

Time Course ◽

Human Cells ◽

Careful Examination ◽

High Temporal Resolution ◽

Rna Seq ◽

Protein Coding ◽

Lncrna Expression ◽

Protein Coding Genes

Background: The advent of next-generation sequencing revealed extensive transcription beyond protein-coding genes, identifying tens of thousands of long non-coding RNAs (lncRNAs). Selected functional examples raised the possibility that lncRNAs, as a class, may maintain broad regulatory roles. Compellingly, lncRNA expression is strongly linked with adjacent protein-coding gene expression, suggesting a potential cis-regulatory function. Evidence for these regulatory roles may be obtained through careful examination of the precise timing of lncRNA expression relative to adjacent protein-coding genes. Results: Where causal cis-regulatory relationships exist, lncRNA activation is expected to precede changes in adjacent target gene expression. Using an RNA-seq time course of uniquely high temporal resolution, we profiled the expression dynamics of several thousand lncRNAs and protein-coding genes in synchronized, transitioning human cells. Our findings reveal lncRNAs are expressed synchronously with adjacent protein-coding genes. Analysis of lipopolysaccharide-activated mouse dendritic cells revealed the same temporal relationship observed in transitioning human cells. Conclusion: Our findings suggest broad-scale cis-regulatory roles for lncRNAs are not common. The strong association between lncRNAs and adjacent genes may instead indicate an origin as transcriptional by-products from active protein-coding gene promoters and enhancers.

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Finding Clocks in Genes: A Bayesian Approach to Estimate Periodicity

BioMed Research International ◽

10.1155/2016/3017475 ◽

2016 ◽

Vol 2016 ◽

pp. 1-14 ◽

Cited By ~ 2

Author(s):

Yan Ren ◽

Christian I. Hong ◽

Sookkyung Lim ◽

Seongho Song

Keyword(s):

Gene Expression ◽

Temporal Resolution ◽

Regulatory Networks ◽

Time Course ◽

Expression Profiles ◽

Gene Expression Profiles ◽

High Temporal Resolution ◽

Noisy Time Series ◽

Rhythmic Gene ◽

Spectral Regression

Identification of rhythmic gene expression from metabolic cycles to circadian rhythms is crucial for understanding the gene regulatory networks and functions of these biological processes. Recently, two algorithms, JTK_CYCLE and ARSER, have been developed to estimate periodicity of rhythmic gene expression. JTK_CYCLE performs well for long or less noisy time series, while ARSER performs well for detecting a single rhythmic category. However, observing gene expression at high temporal resolution is not always feasible, and many scientists are interested in exploring both ultradian and circadian rhythmic categories simultaneously. In this paper, a new algorithm, named autoregressive Bayesian spectral regression (ABSR), is proposed. It estimates the period of time-course experimental data and classifies gene expression profiles into multiple rhythmic categories simultaneously. Through the simulation studies, it is shown that ABSR substantially improves the accuracy of periodicity estimation and clustering of rhythmic categories as compared to JTK_CYCLE and ARSER for the data with low temporal resolution. Moreover, ABSR is insensitive to rhythmic patterns. This new scheme is applied to existing time-course mouse liver data to estimate period of rhythms and classify the genes into ultradian, circadian, and arrhythmic categories. It is observed that 49.2% of the circadian profiles detected by JTK_CYCLE with 1-hour resolution are also detected by ABSR with only 4-hour resolution.

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Modelling Analysis of Electric Vehicle Penetration Scenario using Dynamic Optimal Power Generation Mix Model with High Temporal Resolution

IEEJ Transactions on Power and Energy ◽

10.1541/ieejpes.135.61 ◽

2015 ◽

Vol 135 (1) ◽

pp. 61-70 ◽

Cited By ~ 2

Author(s):

Ryoichi Komiyama ◽

Yasumasa Fujii

Keyword(s):

Power Generation ◽

Electric Vehicle ◽

Temporal Resolution ◽

High Temporal Resolution ◽

Optimal Power ◽

Modelling Analysis

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Multidetector-row Computed Tomography in the Assessment of Coronary Artery Disease – New Techniques and Insights

European Cardiology Review ◽

10.15420/ecr.2010.6.2.43 ◽

2010 ◽

Vol 6 (2) ◽

pp. 43 ◽

Cited By ~ 1

Author(s):

Andreas H Mahnken ◽

Keyword(s):

Computed Tomography ◽

Coronary Artery Disease ◽

Coronary Artery ◽

Data Acquisition ◽

Temporal Resolution ◽

High Temporal Resolution ◽

Multidetector Row ◽

Ct Scanners ◽

Artery Disease ◽

Cardiac Mdct

Over the last decade, cardiac computed tomography (CT) technology has experienced revolutionary changes and gained broad clinical acceptance in the work-up of patients suffering from coronary artery disease (CAD). Since cardiac multidetector-row CT (MDCT) was introduced in 1998, acquisition time, number of detector rows and spatial and temporal resolution have improved tremendously. Current developments in cardiac CT are focusing on low-dose cardiac scanning at ultra-high temporal resolution. Technically, there are two major approaches to achieving these goals: rapid data acquisition using dual-source CT scanners with high temporal resolution or volumetric data acquisition with 256/320-slice CT scanners. While each approach has specific advantages and disadvantages, both technologies foster the extension of cardiac MDCT beyond morphological imaging towards the functional assessment of CAD. This article examines current trends in the development of cardiac MDCT.

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