Sentences with phrase «predict the gene expression»

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Recent advances in the understanding of cancer have led to more personalized therapies, such as drugs that target particular proteins and tests that analyze gene expression patterns in tumors to predict a patient's response to therapy.

In 2006 Potti's team published several papers in high - profile journals reporting that certain gene expression signatures predicted a patient's response to chemotherapy.

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.»

In the article titled «Computational Gene Expression Modeling Identifies Salivary Biomarker Analysis that Predicts Oral Feeding Readiness in the Newborn,» the scientists describe their two - phase research.

«14 -3-3 sigma expression levels can help predict overall and recurrence - free survival rates, tumor glucose uptake, and metabolic gene expression in breast cancer patients,» said Lee.

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.

«There are indeed gene expression markers that predict drug - specific response,» said Dr. Porter.

Using support vector machine recursive feature elimination, the researchers identified three gene expression signatures that predicted therapy responses.

Today, The New York Times reports that on Sunday Duke decided to halt enrollment in three clinical trials in which Potti and Duke's Joseph Nevins were using gene - expression signatures to predict a patient's response to chemotherapy.

The alteration is predicted to result in the production of a shortened ETV6 protein that can not fulfill its normal function of binding to DNA and regulating the expression of other genes.

We predicted a link between gene expression evolution across species and the degree of sexual selection, but this is the first statistical evidence for it and shows how powerful sexual selection can be in leading to major changes in how a gene is expressed.»

The group of researchers at the University of Helsinki and Aalto University, Finland, has applied privacy - aware methods for example to predicting cancer drug efficacy using gene expression.

Gene expression profiling tests, such as Oncotype Dx, analyze the patterns of 21 different genes within cancer cells to help predict how likely it is that a women's cancer will recur within 10 years after initial treatment and how beneficial chemotherapy will be to her.

Now, researchers at the Institute for Comprehensive Medical Science, Fujita Health University, and ATR Computational Neuroscience Laboratories in Japan have succeeded in predicting states of mood - change - like behavior by studying the gene expression patterns in the brain in a bipolar disorder mouse model.

The researchers found that gene expression patterns in the hippocampus accurately predicted whether the mice were in a state of high or low locomotor activity.

A new mathematical model uses gene expression data to predict where neurons are located throughout the brain

After analyzing gene expression signatures in the precursor cells, the investigators demonstrated that they could reliably predict UCP1 expression in the resulting mature cells.

Garcia - Ojalvo expressed surprise that a network based only on gene expression data could predict, with relative accuracy, the effect of multiple genetic interactions.

During specification of SM identity, bd1 mRNA accumulates in a boundary region between the indeterminate meristem and differentiating lateral organ, where it is predicted to suppress ectopic expression of other meristem identity genes in the SM.

Conditional Activation of RET / PTC3 and BRAFV600E in Thyroid Cells Is Associated with Gene Expression Profiles that Predict a Preferential Role of BRAF in Extracellular Matrix Remodeling

The results above suggest that gene expression values (estimated, for instance, through RNA - Seq) can be used to effectively predict time since death.

These methods integrate single - cell experiments and discrete stochastic analysis to predict complex gene expression and signaling behaviors in Saccharomyces cerevisiae — or yeast, a scientific - lab standard since yeast and human cells share many genes.

A biopsy of each patient's cancer will be screened for 600 genes as well as protein expression to uncover molecules and pathways that are driving the cancer and to predict a patient's response to chemotherapy or other tailored therapy.

Previous studies have linked gene expression profiles in bCSCs with a clinical outcome [1, 2], and in this study the authors have extended this out to demonstrate that a DNA methylation profile may promote these changes, and furthermore, that this profile can be effectively used to predict prognosis, and potentially aid the therapeutic decision making.

Ultimately, increasing our knowledge of how genomic gene expression is governed will contribute to our ability to predict both an individual's inherent disease risks and their potential to respond to therapeutic interventions when diseases arise.

deCODE and Encode have developed an expression - based assay of 7 genes that can predict glucocorticoid responsiveness with nearly 90 % accuracy.

Integrating this new information into computational models, my colleagues and I predicted that about 5 percent of HARs function as noncoding RNAs, while most are enhancers that control gene expression during embryonic development.9

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.

High - density oligonucelotide arrays were designed to target the computationally predicted 3 ′ UTRs of OR and VR genes and probe the expression of all receptors annotated in an early genome assembly [9], [31].

Our tool thus allows users with biological knowledge to study the possible effects that their set of SNPs might have on these genes and predict their cell - specific expression levels relative to the population.

Over the next decade, he authored key papers predicting the number of genetic markers required for GWAS in humans, and pioneered the field of genetics of global gene expression (eQTL analysis).

Rohit presented his work on using machine learning applications for predicting prognosis in primary melanoma based on gene expression profiles derived from primary melanoma tumours.

The algorithm can also accurately predict the effect of mutations on gene expression even for very low - affinity binding sites — regions in the genome where transcription factors bind to DNA, but do so in hard - to - detect ways.

But what we want to do is investigate how gene expression predicts cell type!

Paris Descartes APHP and INSERM Poster # / Location: 4546 / Section 25, Board 1 Hyperlink: http://www.abstractsonline.com/pp8/#!/4562/presentation/7648 The tumor inflammation signature (TIS) and other gene expression signatures, simultaneously analyzed using the IO 360 panel, predict clinical benefit of anti-PD1 treatment (nivolumab and pembrolizumab) in «real life» patients with various cancer types, including NSCLC.

Reduced gene expression of intestinal alpha - defensins predicts diarrhea in a cohort of African adults.