Sentences with phrase «expression in different cell»

By functionally linking the signal transduction of melanopsin to the control circuit of the nuclear factor of activated T cells, we have designed a synthetic signaling cascade enabling light - inducible transgene expression in different cell lines grown in culture or bioreactors or implanted into mice.

Not exact matches

In his second semester, he started doing research in three different labs, including that of Carolyn Decker, a molecular biologist who was investigating how the cell controls gene expression through the destruction of messenger RNIn his second semester, he started doing research in three different labs, including that of Carolyn Decker, a molecular biologist who was investigating how the cell controls gene expression through the destruction of messenger RNin three different labs, including that of Carolyn Decker, a molecular biologist who was investigating how the cell controls gene expression through the destruction of messenger RNA.

Molecular characterization of the cells that undergo cell fate transition upon oncogenic Pik3ca expression demonstrated a profound oncogene - induced reprogramming of these newly formed cells and identified gene expression signatures, characteristic of the different cell fate switches, which was predictive of the cancer cell of origin, tumour type and clinical outcomes in women with breast cancers.

«We were starting to understand a lot about circuits and cells, and we had the tools to look at gene expression in different kinds of cells?

This system plays a major role in the regulation of gene activity, and enables the selective expression of different functions in differentiated cell types.

The researchers have compared various processes involved in gene expression, such as gene transcription and chromatin modification, and have repeated this in different tissues and cell types from both humans and mice.

Transcription factors are responsible for either inhibiting or promoting the expression of genes, and master regulatory transcription factors are like transcription factors on steroids: their actions regulate thousands of genes in different kinds of cells.

Previous work from Dekker and colleagues had shown that points of interaction along the chromosome influence gene expression and are the reason why different cell types are organized differently in three dimensions.

Different abnormalities such as cleft palates, small skulls, and problems with higher brain function were seen depending on which cell types lacked Smc3 expression, but the phenotypes were similar to those seen in CdLS patients.

«Signaling pathways and gene expression profiles are very different in cells that grow in 2D and 3D cultures,» says Oksana Sirenko, a research scientist at Molecular Devices in Sunnyvale, California.

That exposes DNA to different proteins, thereby dampening gene expression; in this particular case, that disrupts proper cell division.

It plays an important role in how cells sense their neighbors and, by controlling gene expression, determines which cells should develop into different types and how much they should grow - like a master controller.»

Surprisingly, they found that although the patterns of gene expression — as shown by the RNA sequencing — differed between the hepatocellular carcinomas and the liver cancers with biliary phenotype and depended on the histological type, the overall pattern of mutations in the cells was actually similar between the tumors — of either type — that had emerged in patients who had had infections with either hepatitis C or B, and were different in patients without such infections.

«This is because while both cell types show hydroxyurea - induced gene expression, collision with replication occurs differentially because replication forks have progressed to different extent in these cells,» said Feng.

In their study, the team working with Zavolan exposed yeast cells to different stress conditions, measured their lifespan, protein synthesis rates and Gcn4 expression.

«Our study reveals important differences and specificities in the mechanism of action of high - and low - dose aspirin in metastatic and nonmetastatic cancer cells with different tumor origins and suggests that the ability of aspirin to prevent platelet - induced c - MYC [an oncoprotein] expression might be selective for a nonmetastatic phenotype.»

PARTICLE acts in three different ways to prevent expression of the MAT2A gene: 1) by winding around the MAT2A gene to create a DNA: RNA triple helix structure locking down the MAT2A gene promoter, 2) by binding the messenger RNA product of the MAT2A gene and preventing it being used for MAT2A protein synthesis and 3) transferring MAT2A messenger RNA into intracellular vesicles that are subsequently ejected from the cell.

The analysis of different tissues demonstrated MOCOS expression in the brain cells and intestine of several species, and notably the C. elegans worm and mammals.

In their new Science paper, the researchers analyzed gene expression in single cells across key developmental time points and from different regions of the braiIn their new Science paper, the researchers analyzed gene expression in single cells across key developmental time points and from different regions of the braiin single cells across key developmental time points and from different regions of the brain.

Another provocative observation from the new study was that transient gene expression events during brain development set up broad distinctions in neural fate between cells in different areas in the cerebral cortex.

For example, the researchers were able to identify previously unknown gene expression differences between the neural stem cells that give rise to the brain's deep structures versus its neocortical surface, and to show that molecular signatures of different neural cell types arise much earlier in brain development than previously realized.

The researchers discovered that the activity of this electric signal is necessary in different aspects of normal regeneration, namely for the expression of crucial genes, formation of a mass of cells capable of growth and regenerate, and proper tissue innervation.

The transmission of different states of gene expression through multiple cell divisions and across generations has been termed «epigenetic,» since the underlying DNA sequence is identical in both states.

The generality of this observation was further confirmed by examining the expression of miR - 7 in 2 different cell lines, CN34 and MCF7, and their metastatic variants, CN34BoM, CN34BrM, and MCF7BoM.

Not only were levels of metabolic compounds different, but the expression of certain genes involved in metabolism was turned up, and the epigenome of the cells — molecular markers on DNA that change gene expression on a broader scale — was altered.

C, miR - 7 expressions in both parental cells and CSCs from different cell lines were measured by TaqMan PCR.

A research team, led by Chao Cheng, Ph.D., Assistant Professor in the Department of Genetics at The Geisel School of Medicine at Dartmouth, used gene expression data from breast cancer patients to computationally infer the presence of different types of immune cells.

Most of these were invalidated when challenged with experimental data generated in Smith's laboratory, which measured gene expression of ESCs across 23 different cell culture conditions, all of which maintained pluripotency.

«A totally normal - looking worm with a normal gene expression and stem cell distribution can in fact be harbouring a [body plan] that's quite different,» says Levin.

Elowitz's team is now examining the role stochastic gene expression plays in stem cells, undifferentiated cells that give rise to the different tissues in our bodies.

Expression of Snail represses expression of E-cadherin and induces EMT in different cell types, including breast cancer cellsExpression of Snail represses expression of E-cadherin and induces EMT in different cell types, including breast cancer cellsexpression of E-cadherin and induces EMT in different cell types, including breast cancer cells [36, 37].

In order to perform gene expression signal deconvolution we applied CIBERSORT35 v1.04 and the LM22 gene signature to all blood samples, using gene RPKMs, with default parameters, deconvoluting the signal into 22 different cell types.

To understand why skin cells in diverse parts of the body have different characteristics - how cells know their «positional identities» - a fact that guides the diagnosis and treatment of many skin diseases, Dr. Chang and his colleagues are seeking to define in molecular terms how the expression of different genes in stromal cells determines their ability to affect the development of skin cells.

Instead, they discovered that each V. carteri cell type expresses orthologs of genes from different temporal phases of the light — dark cycle in a related unicellular alga, Chlamydomonas reinhardtii, with somatic cells enriched for expression of dark - phase genes, and gonidial cells enriched for expression of light - phase genes.

cell types may have evolved through cooption of temporal gene regulation in an ancestor whose different phases were converted into germ - and soma - specific expression programs.

These results suggest that V. carteri cell types may have evolved through cooption of temporal gene regulation in an ancestor whose different phases were converted into germ - and soma - specific expression programs.

Testing eight different combinations of the corrective tRNAs, each designed with or without the RP import signal, its modified aminoacyl stem, or the MTS, they found that with the inclusion of all three modifications — and only with their inclusion — expression of their constructs induced a substantial increase in mitochondrially - encoded protein synthesis (6 -8-fold) and respiration (~ 2.5-fold) in mutant cybrid cells.

Research Focus: I dedicate my time and effort to develop high - throughput sequencing technologies such as single cell transcriptomic, ChIP - Seq, ChIA - PET, and many more... The scientific rational is to understand better and with a different angle, the mechanisms of epigenetic regulation of gene expression in (rare) immune cells, pathologically relevant in many diseases such as asthma, SLE, tuberculosis...

The overall score encompass several factors: reproducibility of the antibody staining in different cell lines (and if signal strength correlates with RNA expression levels); assays for enhanced antibody validation by using antibodies binding to different epitopes on the same target protein (independent antibodies), by knockdown / knockout of the target protein (genetic methods) and by matching of the signal with a GFP - tagged protein (recombinant expression); experimental evidence for location described in literature.

The transcription factor recognizes several different drugs and, in turn, triggers the expression of a transporter that pumps the drugs out of the cell.

Protein expression is annotated in 76 different normal cell types present in these tissue samples.

A web - based tool in which users can upload their individual SNP data and obtain predicted expression levels for the set of predictable genes across the 14 different cell types.

The gelatinolytic assays were carried out in two different ways to obtain complementary information: firstly, cells were treated or not with the test compound and samples from these were submitted to gelatinase zymography to detect the effects of the kahweol treatment on the expression of gelatinase activities; secondly, in some experiments, samples from control, untreated HT - 1080 fibrosarcoma cells were submitted to zymography and, after electrophoresis, different concentrations of kahweol were added to the substrate buffer to determine the potential direct effect of kahweol on gelatinase activity.

Back in 2011, for example, her lab demonstrated that beta cells in newborn rats are immature cells with very different gene expression and function than adult beta cells.

Massively parallel RNA sequencing (RNA - Seq) was used to investigate in an unbiased fashion the expression of different genes, comparing the control and DAXX K / D expression patterns in PC3 cells (duplicate samples).

This way it is possible to obtain and compare the expression pattern of genes in the FunGenES database to the expression profiles in other tissues, experimental settings, or different stem cells types.

In unc - 9 unc - 7 double mutants, the UNC - 9:: GFP signal is qualitatively different — few bright punta arise, expression is more diffuse, and the GFP signal often concentrates in the cell soma of some B motor neurons, allowing for their visualizatioIn unc - 9 unc - 7 double mutants, the UNC - 9:: GFP signal is qualitatively different — few bright punta arise, expression is more diffuse, and the GFP signal often concentrates in the cell soma of some B motor neurons, allowing for their visualizatioin the cell soma of some B motor neurons, allowing for their visualization.

On the other hand, if human material enter the plate of sorted cells while cDNA is being generated, human mRNA will convert to cDNA but with consistent bulk - like expression patterns in the different wells.

It is important to distinguish lineage specific gene expression shown here, which occurs at a high level and with a degree of specificity in the different population compartments, to the low level of genome wide transcription observed in ES cells by others [22], or with transcript initiation at many loci noted previously in ES cells [23].

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.