Project description:In order to identify common gene expression across other gliopathic bang senstiive genes (i.e. genes that when knocked down or over expressed by repo-GAL4 cause seizures) we crossed six UAS-RNAi or UAS-over-expression lines for known bang senstive genes to repo-GAL4. We pooled total RNA from brains of these animals in equal amounts and ran microarray analysis to search for transcripts that are common among these six seizure associated genes.
Project description:Sensitive skin is a hyperactive skin condtion, characterized by prickling, burning, itching, stinging, pain, or tingling sensation, which develops in response to various internal and external stimulants that can be tolerated by most people. The pathophysiology involved in the development of sensitive skin remains largely elusive. To characterize differential gene expression profiles in sensitive skin, we investigated the genome-wide patterns of gene expression from skin samples from subjects with sensitive or non-sensitive skin, following lactic acid challenge or normal saline application using cDNA microarrays.
Project description:Two cell lines were utilized to determine hormone sensitive chromatin marks. Specficially this study identifies the H3K4me pattern in response to hormone treatment. This chromatin mark is believed do demarkate genes which are 'poised' to be transcriptionally activated. We have found differential H3K4me sites both common and unique in each cell type. Many of these correlate with previous studies of ecdysone sensitive genes.
Project description:To explore gene expression profiles of cells sensitive to necrosis (such as L929 cells) and those sensitive to apoptosis (such as NIH3T3 cells), we conducted expression microarray analysis of L929 cells and NIH3T3 cells.
Project description:Sensitive skin is a hyperactive skin condtion, characterized by prickling, burning, itching, stinging, pain, or tingling sensation, which develops in response to various internal and external stimulants that can be tolerated by most people. The pathophysiology involved in the development of sensitive skin remains largely elusive. To characterize differential gene expression profiles in sensitive skin, we investigated the genome-wide patterns of gene expression from skin samples from subjects with sensitive or non-sensitive skin, following lactic acid challenge or normal saline application using cDNA microarrays. We recruited eighteen healthy volunteers with sensitive skin (n=9) or non-sensitive skin (n=9). From each subject, two skin samples were obtained following lactic acid or normal saline application.(18 samples/group) Based on the existence of sensitive skin and lactic acid challenge, samples were pooled into sets of three individuals each. Global transcriptome profiling was conducted using Affymetrix Human Genome U133 Plus 2.0 array.
Project description:Gould2011 - Temperature Sensitive Circadian
Clock
This model is a temperature sensitive
version of Pokhilko
et al. 2010 (PMID:
20865009),
which is
BIOMD0000000273
in BioModels.
This model is described in the article:
Network balance via CRY
signalling controls the Arabidopsis circadian clock over
ambient temperatures.
Gould PD, Ugarte N, Domijan M, Costa
M, Foreman J, Macgregor D, Rose K, Griffiths J, Millar AJ,
Finkenstädt B, Penfield S, Rand DA, Halliday KJ, Hall
AJ.
Mol. Syst. Biol. 2013; 9: 650
Abstract:
Circadian clocks exhibit 'temperature compensation', meaning
that they show only small changes in period over a broad
temperature range. Several clock genes have been implicated in
the temperature-dependent control of period in Arabidopsis. We
show that blue light is essential for this, suggesting that the
effects of light and temperature interact or converge upon
common targets in the circadian clock. Our data demonstrate
that two cryptochrome photoreceptors differentially control
circadian period and sustain rhythmicity across the
physiological temperature range. In order to test the
hypothesis that the targets of light regulation are sufficient
to mediate temperature compensation, we constructed a
temperature-compensated clock model by adding passive
temperature effects into only the light-sensitive processes in
the model. Remarkably, this model was not only capable of full
temperature compensation and consistent with mRNA profiles
across a temperature range, but also predicted the
temperature-dependent change in the level of LATE ELONGATED
HYPOCOTYL, a key clock protein. Our analysis provides a
systems-level understanding of period control in the plant
circadian oscillator.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000564.
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To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.