Not exact matches
Berninger and others have previously shown that Sox2, Ascl1, and other
transcription factors — proteins that bind to
specific DNA sequences to control the activity of genes — can induce the nonneuronal «support
cells» known as glia to turn into neurons.
However, each time a
cell divides the
specific binding pattern of the
transcription factors is erased and has to be restored in both mother and daughter
cells.
Glk1 is a
transcription factor, meaning it binds to
specific regions of DNA and activates genes involved in
cell death and other plant immune responses.
Thus, this cDNA derives from a gene (oct - 2) that specifies an octamer binding protein expressed preferentially in B lymphocytes, proving that, for at least one gene, a
cell -
specific transcription factor exists and its amount is controlled through messenger RNA availability.
«Our research revealed how small RNA molecules can work with other
cell signals called
transcription factors to generate
specific types of neurons, in this case motor neurons.
Previously, in the region that controls the function of the
transcription factor that promotes differentiation from ES
cells to a
specific cell type, bivalent modifications of histones such as the accelerator and brake histone marks for
transcription were thought to have coexisted.
What they found was that when they overexpress
transcription factors that drive the specification of
specific subtypes of neurons in other
cells in C. elegans, these do not by themselves cause the
cell to convert into neurons.
The team then asked this minimal model set to predict whether knockdown of a
specific transcription factor would maintain the stem
cell state or prompt differentiation.
So what we think is that probably in many
cells in this section, all
cells, the chromatin is encountered in a
specific state, and in order to render the
cell is permissive to reprogramming, you have to overcome these certain epigenetic modifications that block, for example, the binding of Ascl1 to its target chains, or the binding of other
transcription factors to its target chains, then this way interfere with the possibility of reprogramming.
CHiP - Seq data show that
cell - type -
specific promoters are enriched for
cell - type -
specific transcription factors.
Finally, I will show how we have combined our results to generate a model of hematopoietic differentiation where
specific transcription factors control lineage regulatory regions; our model predicts many already known lineage - controlling
factors as well as finds new potential regulators of hematopoietic differentiation such as ATF3 in monocytes and Tcf7l2 and Runx2 in NK
cells.
In response to signals from inside and outside
cells,
transcription factors attach to the DNA and cause
specific genes to be more or less activated, producing more or less of the corresponding protein.
Each
cell fate is characterized by a regulatory network of
factors, typically
transcription factors that maintain a
specific state through reciprocal feedback interactions.
Found that muscle -
specific histone methyltransferases and microRNAs regulate the activity of Hand2, a
transcription factor essential for ventricle formation and more recently showed that microRNAs can efficiently guide stem
cell fate decisions.
A famous example of how
transcription factor expression can be used to alter a
cell's identity is the creation of iPSCs, where adult
cells were forced to express
transcription factors normally expressed in ESCs, which made the adult
cells express genes
specific to ESCs, and consequently become nearly identical to ESCs.
In addition, well - characterized expression profiles for melanoma
cells have been identified that correlate highly proliferative
cell states with increased expression for pathways regulated by the lineage -
specific transcription factors SOX10 and MITF; conversely, migratory / invasive
cell states have been correlated with TGFβ1 signaling pathways.
ES
cells can be described based on a characteristic morphology, the presence of
cell surface markers such as SSEA - 1 and Pecam1, or the expression of the key
transcription factors such as Oct4, Sox2, Nanog, and a number of ES
cell -
specific transcripts (ECATs)[4]--[6].
The 1500
transcription factors (TFs) within the human genome perform a key role in determining the set of active genes within a
specific cell, as well as the magnitude of activity.
These 45 variants are significantly enriched for protein - coding changes (n = 13), direct disruption of
transcription -
factor binding sites (n = 3), and tissue -
specific epigenetic marks (n = 10), with the last category showing enrichment in
specific immune
cells among associations stronger in Crohn's disease and in gut mucosa among associations stronger in ulcerative colitis.
Bivalent marking of loci encoding lineage
specific transcription factors in ES
cells is thought to prepare these genes for rapid activation of
transcription once the pluripotency network is extinguished [4].
The FunGenES database provides such a template with a number of tools including Animation of KEGG Pathways, Expression Waves, Time Series,
Specific Gene Classes, such as ESTs and
transcription factors, and searches for the expression pattern of any gene or transcript during ES
cell differentiation using standard gene names and IDs.
To be more
specific, we searched for
transcription factors that were changed in NSCs after exposure to amiodarone HCl but showed no change in differentiated
cells after treatment with equivalent amounts of the drug.
Specifically, we have generated clusters of transcripts that behave the same way under the entire spectrum of the sixty - seven experimental conditions; we have assembled genes in groups according to their time of expression during successive days of ES
cell differentiation; we have included expression profiles of
specific gene classes such as
transcription regulatory
factors and Expressed Sequence Tags; transcripts have been arranged in «Expression Waves» and juxtaposed to genes with opposite or complementary expression patterns; we have designed search engines to display the expression profile of any transcript during ES
cell differentiation; gene expression data have been organized in animated graphs of KEGG signaling and metabolic pathways; and finally, we have incorporated advanced functional annotations for individual genes or gene clusters of interest and links to microarray and genomic resources.
Our work indicates that only a small fraction of the population resides at the top of the hierarchy, that lineage priming (co-expression of stem
cell and lineage
specific genes) characterizes pluripotent stem
cell populations, and that extrinsic signaling pathways are upstream of
transcription factor networks that control pluripotency.
Cell identity is specified by the coordinated action of
transcription factors, which bind to
specific DNA regulatory sequences and turn gene expression on.