Sentences with phrase «measure gene expression»

Finally, because we did not measure gene expression, the current results await replication and extension using methods that can clarify whether the observed effects are associated with changes in gene expression that would indicate up or down regulation of TNF.

Blood samples were also collected at the beginning and end to measure gene expression and levels of inflammation.

To annotate the genome, the team generated transcriptome sequence data — which can be used to measure gene expression based on RNA levels — in 12 different tissues types.

Hekman and her colleagues used RNA sequencing to measure gene expression in the pituitary glands of tame and aggressive foxes.

Our work involves qPCR to measure gene expression, CRISPR gene editing, proteomics, transcriptomics, promoter analysis and histology.

They then used next generation sequencing — a state - of - the - art method to rapidly measure gene expression — to sequence and quantify the thousands of genes that are expressed in hair cells, in comparison with other cells in the ear.

When the team measured gene expression first in the stem cells, and then re-evaluated the cells once they had become neurons, very specific differences emerged between the cells derived from bipolar disorder patients and those without the condition.

By measuring gene expression in the transgenic mice using DNA microarrays, researchers discovered 50 biomarkers of gene expression that each indicated declining kidney function.

After 3 months, the researchers drew blood samples from the monkeys, purified five different types of immune cells, and measured gene expression across their entire genomes.

The researchers identified the LSC17 score by sampling the leukemia stem cell properties of blood or bone marrow samples from 78 AML patients from the cancer centre combined with molecular profiling technology that measures gene expression.

The investigators also measured gene expression of postvaccinated cervical cells in three of the patients and found increased expression of several genes (CXCR3, Tbet and IFNβ) associated with activation of the immune system.

We measured gene expression of Cry1, Cry2 and Cry4 in the retina, muscle and brain of zebra finches over the circadian day to assess whether they showed any circadian rhythmicity.

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.

These results suggest that the effect of PMI on measured gene expression is relatively modest and can be further minimized by using appropriate covariate correction in analyses.

«Methods currently used for measuring gene expression generally rely on something called «relative normalisation», which means that gene expression levels in a sample can only be estimated relative to other genes in the same sample.

Not exact matches

For example, researchers can measure the expression of genes in insect eggs in a corpse to pinpoint exactly how old they are.

This means that gene expression can be measured by the amount of each unique type of mRNA found in a blood sample.

Then they compared the expression of thousands of genes in two samples by measuring levels of messenger RNA.

Gene microarrays, which measure expression of dozens of genes at once, can be fickle and supply inconsistent results.

If the gene expression profile of a neuronal type is measured, then the model predicts where in the brain that type of neuron can be found.»

To see whether Lin28 might be a factor in Wilms tumor development, Daley and an international team of collaborators measured the gene's expression in tumor samples from 105 Wilms patients.

Rather than measuring genetic changes directly (such as single nucleotide polymorphisms, otherwise known as SNPs), McKee and her group typically do RNA expression profiles on patients to see what genes are being expressed.

The researchers developed algorithms to use in a «systems biology modeling cycle,» in which they repeatedly fit a model to gene expression data obtained from laboratory experiments until a good fit was obtained between the predicted and the measured outcomes.

«This is by far the largest twin study of gene expression ever published, enabling us to make a roadmap of genes versus environment,» Sullivan says, adding that the study measured relationships with disease more precisely than had been previously possible, and uncovered important connections to recent human evolution and genetic influence in disease.

The research team used blood samples taken daily throughout the patient's hospitalization and recovery to measure the rise and decline of virus replication inside white blood cells and serum and to track the timing, intensity and duration of expression of numerous immune system genes.

Using a new powerful technique, the Lund researchers have now been able to analyse practically the entire methylome and measure individual gene function and expression.

Then they studied the mice's lungs microscopically and, using microarrays, measured the expression of many dozens of genes in their lung tissue at 1, 3, and 5 days after infection.

To investigate, they measured mRNA levels associated with the expression of 23,000 genes in human brain tissue.

In combination with a separate technique that measures the degree to which a gene is expressed, the researchers then identified genes that were either mutated or functionally altered through expression levels in these bladder cancer cell lines.

Gene chips, for instance, can measure the expression of thousands of genes at a time, but the important question is how one gene regulates others within that incredibly complex web of relationshGene chips, for instance, can measure the expression of thousands of genes at a time, but the important question is how one gene regulates others within that incredibly complex web of relationshgene regulates others within that incredibly complex web of relationships.

Quantitative RT - PCR was used to measure the relative expression of macrophage markers (Emr1, Csf1r, Cd68) and an adipocyte - specific gene (Acrp30).

Gene expression patterns in the hippocampus samples were examined using DNA microarrays that measured the expression levels of over 30,000 genes (transcripts) per sample.

Using this «Ribotag» approach tissue - specific changes under DR have been measured in muscle, fat, gut, heart, neurons, germline and malpighian tubules, showing a highly tissue specific response upon DR.. We are developing mechanistic models of gene expression regulation and conducting comprehensive bioinformatics analyses on UTRs, promoters and the coding sequences of various elements of differentially regulated genes.

Quantitative RT - PCR was used to measure the relative expression of three proinflammatory genes (Tnfa, Nos2, and Il6).

«We analyzed dozens of variants of this gene and quantitatively measured expression in about 1,000 embryos, creating a quantitative data set that could be used to train mathematical models, utilizing parameter optimization,» Arnosti said.

Scientists who are trained in the Carlezon lab develop expertise in the analysis of behavior in rats and mice, the use of genetic engineering to control or modify gene and protein expression, and molecular techniques to measure molecular adaptations.

Gene expression divergence levels were obtained from [71] and were measured in terms of the number of commonly co-expressed genes between human and mouse one to one orthologs.

Changes in the manipulation medium, as well as a move from late to early stages after first appearance of pronuclei, produced blastocysts which were statistically indistinguishable from those produced in normal IVF by measures of morphology, ploidy and gene expression.

The method, PrediXcan, estimates gene expression levels across the whole genome — a better measure of biological action than single mutations — and integrates it with genome - wide association study (GWAS) data.

RNA quality impacts measures of gene expression.

On Supplementary Fig. 36c, we show the number of most informative genes (defined as the union of genes with importance > = 0.1 across all the 13 models in the case of the gene expression model, and the union of the genes with importance > = 0.1 across the 3 models in the case of TIN, with «importance» being a measure computed by xgboost) with respect to each tissue and data type.

We also identified a «meditation effect» within the regular meditator group, characterized by a distinct network of genes with cellular functions that may be relevant to healthy aging, and this network was associated with increased expression of a number of telomere maintenance pathway genes and an increase in measured telomerase enzymatic activity.

The authors highlight the importance of measuring the variability of transcript expression and location in so many cells by using their data to discover genes with related functions in the cell.

Our first striking observation was that over one half of measured genes are affected by common genetic variation in human populations — called expression quantitative trait loci or eQTLs.

Understanding how these effects are dependent on the post-mortem interval is essential for the proper use of post-mortem gene expression measures as a proxy for ante-mortem physiological gene expression levels5, 10,18,19,20.

Supplementary Fig. 36a shows the performance of the model based on the TIN measure at the tissue level, while Supplementary Fig. 36b compares the predictions based on TIN with the predictions based on gene expression at the individual level.

From these data, we first measured allele - specific expression, where a heterozygous site in a gene can be used to distinguish gene expression from the two copies of a gene.

Using novel gene - array technology to measure the extent of gene expression in thousands of genes simultaneously, this study shows that as humans diverged from their ape ancestors in the last five million years, genes for transcription factors — which control the expression of other genes — were four times as likely to have changed their own expression patterns as the genes they regulate.

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.»

Gene expression profiles measured using human genome Affymetrix Gene Chip arrays were grouped by hierarchical clustering, and correlation coefficients were computed for all pair-wise comparisons (Fig. 4A).