Not exact matches
Scientists from the Biogerontology Research Foundation (BGRF), a UK -
based charity founded to support aging research and address the challenges of a rapidly aging population, propose a new concept for signalome - wide analysis of
changes in intracellular pathways, called OncoFinder, which allows for accurate and robust cross-platform analysis of gene
expression data.
Each cell type can be distinguished
based on its transcription factors, and a cell can
in certain cases be directly converted from one type to another, simply by
changing the
expression of one or more transcription factors.
Based on the CT based anatomical observations in probainognathians, it appears that the MSX2 gene underwent a significant change in its expression 240 - 246 million years ago and triggered the evolution of many typical mammalian traits including hair and whiskers, an enlarged cerebellum, complete ossification of the skull roof, and more importantly, the mammary glands, that define mammals t
Based on the CT
based anatomical observations in probainognathians, it appears that the MSX2 gene underwent a significant change in its expression 240 - 246 million years ago and triggered the evolution of many typical mammalian traits including hair and whiskers, an enlarged cerebellum, complete ossification of the skull roof, and more importantly, the mammary glands, that define mammals t
based anatomical observations
in probainognathians, it appears that the MSX2 gene underwent a significant
change in its
expression 240 - 246 million years ago and triggered the evolution of many typical mammalian traits including hair and whiskers, an enlarged cerebellum, complete ossification of the skull roof, and more importantly, the mammary glands, that define mammals today.
Additionally, researchers found that nearly 300 genes showed variation
in their
expression in heart tissue over the course of a day — a possible
basis for the tissue's
change in behavior.
This altered
expression that does not correlate with
changes in the
base sequence is known as epigenetic regulation (as opposed to genetic regulation).
Based on analyses of over 600 drug and breast cancer cell pairings, researchers showed that, for some cells, drug exposure can cause significant
changes in gene
expression — indicating the successful action of a drug on its target — without affecting cell growth or survival.
To work out the genetic
basis, Duke University postdoctoral associate Bob Fitak and biology professor Sönke Johnsen and colleagues investigated
changes in gene
expression that take place across the rainbow trout genome when the animal's magnetic sense is disrupted.
Most analytical approaches to this problem are rather rudimentary and involve calculating simple correlations among the genes whose
expression changes in response to a perturbation, clustering the genes by molecular or known functional class, and drawing crude inferences about mechanism on that
basis.
In the current study, the researchers used infradian cyclic locomotor activity in the mutant mice as a proxy for mood - associated changes, and examined their molecular basis in the brain by conducting prediction analyses of the gene expression dat
In the current study, the researchers used infradian cyclic locomotor activity
in the mutant mice as a proxy for mood - associated changes, and examined their molecular basis in the brain by conducting prediction analyses of the gene expression dat
in the mutant mice as a proxy for mood - associated
changes, and examined their molecular
basis in the brain by conducting prediction analyses of the gene expression dat
in the brain by conducting prediction analyses of the gene
expression data.
Thus, interactome hubs such as NR1 may exhibit low levels of
change in individual gene
expression following hypoxia, but,
based on analysis of interaction networks, are likely to play an important role
in regulating the biologic response.
The NIH Common Fund's Library of Integrated Network -
based Cellular Signatures (LINCS) program aims to create a network -
based understanding of biology by cataloging
changes in gene
expression and other cellular processes that occur when cells are exposed to a variety of perturbing agents.
In 2008, Kozul - Horvath and Hamilton's found that mice fed a grain - based chow (Purina 5001) had no changes in gene expression when exposed to arsenic while they were dramatic when fed purified diet AIN - 76A (Click here for pdf.
In 2008, Kozul - Horvath and Hamilton's found that mice fed a grain -
based chow (Purina 5001) had no
changes in gene expression when exposed to arsenic while they were dramatic when fed purified diet AIN - 76A (Click here for pdf.
in gene
expression when exposed to arsenic while they were dramatic when fed purified diet AIN - 76A (Click here for pdf...
Dr Gilchrist said: «This study suggests that we may improve significantly on the widely used analysis methods for determining gene
expression levels from high throughput sequence data: absolute quantitation offers a much sounder
basis for determining
changes in gene
expression level, a measure widely used to determine the consequence of genetic, chemical or physical disturbances
in living systems.»
Based on the study, babies who get less physical contact and are more distressed at a young age, end up with
changes in molecular processes that affect gene
expression.
Although the functional
bases for these global
changes in B. burgdorferi gene
expression are not understood, they are generally considered to constitute an adaptive response that facilitates transition between two distinct niches: the tick and the mammal.
These include: a) Global Clusters that consist of a small, tight subset of genes that are co-expressed under the entire spectrum of experimental conditions; b) Time Series of gene
expression profiles during successive days of standard ES cell differentiation; c) Specific Gene Classes based on hierarchical clustering of transcriptional factors and ESTs; d) Expression Waves of genes with characteristic expression profiles during ES cell differentiation, juxtaposed to waves of genes that behave in the exact opposite way; e) Pathway Animations that illustrate dynamic changes in the components of individual KEGG signaling and metabolic pathways viewed in time - related manner; and, f) Search Engines to display the expression pattern of any transcript, or groups of transcripts, during the course of ES cell differentiation, or to query the association of candidate genes with various FunGenES database
expression profiles during successive days of standard ES cell differentiation; c) Specific Gene Classes
based on hierarchical clustering of transcriptional factors and ESTs; d)
Expression Waves of genes with characteristic expression profiles during ES cell differentiation, juxtaposed to waves of genes that behave in the exact opposite way; e) Pathway Animations that illustrate dynamic changes in the components of individual KEGG signaling and metabolic pathways viewed in time - related manner; and, f) Search Engines to display the expression pattern of any transcript, or groups of transcripts, during the course of ES cell differentiation, or to query the association of candidate genes with various FunGenES database
Expression Waves of genes with characteristic
expression profiles during ES cell differentiation, juxtaposed to waves of genes that behave in the exact opposite way; e) Pathway Animations that illustrate dynamic changes in the components of individual KEGG signaling and metabolic pathways viewed in time - related manner; and, f) Search Engines to display the expression pattern of any transcript, or groups of transcripts, during the course of ES cell differentiation, or to query the association of candidate genes with various FunGenES database
expression profiles during ES cell differentiation, juxtaposed to waves of genes that behave
in the exact opposite way; e) Pathway Animations that illustrate dynamic
changes in the components of individual KEGG signaling and metabolic pathways viewed
in time - related manner; and, f) Search Engines to display the
expression pattern of any transcript, or groups of transcripts, during the course of ES cell differentiation, or to query the association of candidate genes with various FunGenES database
expression pattern of any transcript, or groups of transcripts, during the course of ES cell differentiation, or to query the association of candidate genes with various FunGenES database clusters.
I had a hunch
based on this work that microRNA
expression would be different
in breast cancer stem cells than
in more differentiated tumor cells or normal tissue and that it would
change as the stem cells differentiated to form a tumor.
We furthermore show that several of these RNA modifications have a dynamic response to environmental stress and that,
in particular,
changes in the tRNA wobble
base modification 5 - methoxycarbonylmethyl -2-thiouridine (mcm (5) s (2) U) lead to codon - biased gene -
expression changes in starved animals.
To define the
basis for the rapid repositioning of antigen - engaged DCs we tested whether the cells underwent
changes in EBI2 or CCR7
expression.
The theory proposed by Professor Khavinson is
based on the underlying assumption that
changes in gene
expression result
in decreased protein synthesis, eventually leading to aging and the development of diseases.
There are some wonderfully clever uses of VR, including one sequence where the player looks at «themselves»
in the mirror and the face subtly
changes expression,
based on how they adjust their Rift.
Since to me (and many scientists, although some wanted a lot more corroborative evidence, which they've also gotten) it makes absolutely no sense to presume that the earth would just go about its merry way and keep the climate nice and relatively stable for us (though this rare actual climate scientist pseudo skeptic seems to think it would,
based upon some non scientific belief — see second half of this piece), when the earth
changes climate easily as it is, climate is ultimately an
expression of energy, it is stabilized (right now) by the oceans and ice sheets, and increasing the number of long term thermal radiation / heat energy absorbing and re radiating molecules to levels not seen on earth
in several million years would add an enormous influx of energy to the lower atmosphere earth system, which would mildly warm the air and increasingly transfer energy to the earth over time, which
in turn would start to alter those stabilizing systems (and which, with increasing ocean energy retention and accelerating polar ice sheet melting at both ends of the globe, is exactly what we've been seeing) and start to reinforce the same process until a new stases would be reached well after the atmospheric levels of ghg has stabilized.