Sentences with phrase «identifying gene expression»

Therefore, these reference genomes can also enable further studies, such as identifying gene expression changes that explain multidrug resistance and host interaction.
Identifying gene expression patterns in relation to the compound could facilitate the selection of the most appropriate patient cohorts for clinical development.
By identifying gene expression signatures common to sight, touch and hearing, neuroscientists at the University of Geneva (UNIGE), Switzerland, discovered a sensory «lingua franca» which facilitates the brain's interpretation and integration of sensory input.
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.
This single cell transcriptome analysis followed by computational analyses enabled the team to identify the gene expression profiles of cells in the process of changing from ES cells to 2CLCs.
Aug. 8, 2017 — Using bioinformatics approaches, Vanderbilt investigators have identified gene expression networks that are deregulated in mouse and human stomach cancers.

Not exact matches

An international team led by researchers with the Lawrence Berkeley National Laboratory (Berkeley Lab) has developed a new technique for identifying gene enhancers — sequences of DNA that act to amplify the expression of a specific gene — in the genomes of humans and other mammals.
A protein called peroxisome proliferator — activated receptor g co-activator 1 - alpha (PGC1 - alpha) regulates the expression of many genes identified by the researchers.
Fluorescence - activated sorting is then used to identify and retrieve from this mix only those cells that display strong reporter gene expression, which represent the cells with the most active enhancers.
This image shows the metabolic expression of a gene identified by scientists from EPFL in Lausanne and ETH Zürich as being a key player in the development of type 2 diabetes.
The team also looked at gene expression before and after exposure and identified 335 genes whose variation in expression correlated with caspase activity.
Having identified that neuron, the team was then able to modify its gene expression.
Once the pattern of expression of these genes had been identified, Prof. Khatri and his colleagues tested it out on the remaining 900 samples from patients with different tropical diseases and from healthy people.
Because the prion - forming protein identified in the study normally functions as a regulator of gene activity, the researchers say their discovery raises the possibility that when it switches to a prion state, it could alter genetic expression and bacterial behavior.
To identify genes involved in the patterning of adult structures, Gal4 - UAS (upstream activating site) technology was used to visualize patterns of gene expression directly in living flies.
Finally, the team identified a network of genes in these regions that exhibit changes in expression when the normal boost from serotonin is lacking, and these changes depended on how long the drug was given.
Research published this month in Nature Neuroscience identified a surprisingly small set of molecular patterns that dominate gene expression in the human brain and appear to be common to all individuals, providing key insights into the core of the genetic code that makes our brains distinctly human.
They identified 60 genes that exhibited convergent evolution in CAM species, including convergent daytime and nighttime gene expression changes in 54 genes, as well as protein sequence convergence in six genes.
To gain more insights as to why zebrafish are more successful at regenerating spinal tissue, the researchers analyzed the gene expression of fish spinal tissue following injury, identifying seven genes of interest.
Scientists at The Scripps Research Institute (TSRI) have identified a molecule in the brain that triggers schizophrenia - like behaviors, brain changes and global gene expression in an animal model.
«Genome - wide analysis allowed us to identify a gene, VNN - 1, whose expression discriminated between good and poor responders to systemic corticosteroid treatment,» said Gurjit Khurana Hershey, MD, PhD, senior author and director of Asthma Research at Cincinnati Children's.
In this study, a team led by Panos N. Papapanou, DDS, PhD, professor and chair of oral, diagnostic and rehabilitation sciences at the College of Dental Medicine at CUMC, «reverse - engineered» the gene expression data to build a map of the genetic interactions that lead to periodontitis and identify individual genes that appear to have the most influence on the disease.
In a study exploring the molecules controlling osteoclast differentiation in the cancer setting, Ell et al. have identified miRNAs (microRNAs are small noncoding RNAs that regulate gene expression) whose levels were consistently down - or up - regulated in differentiating osteoclasts.
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.
This magic spot was later identified as ppGpp and shown to influence the expression of over 500 genes in response to stress.
«For the first time, our study identified detailed gene expression levels in these granules.
«We are currently in the process of identifying differences in gene expression and neuroanatomy in these birds to better understand the neural mechanisms of these cognitive deficits,» says Roth.
«We identified, across the genome, that enhancer RNAs were the most common type of RNA that bound to CBP, and that by making this interaction, eRNAs play a crucial role in regulating CBP activity and gene expression
SEATTLE — Apparently ending several years of uncertainty, an official of the U.S. Patent and Trademark Office (PTO) revealed here today that the government intends to grant patents on expressed sequence tags (ESTs), human DNA sequences of up to a few hundred base pairs in length that can be used to identify and detect the expression of specific genes.
In their research, Pugh and Venters set out to identify the precise location of the beginnings of transcription — the first step in the expression of genes into proteins.
Using support vector machine recursive feature elimination, the researchers identified three gene expression signatures that predicted therapy responses.
«These findings raise the possibility that by determining the gene expression profile of a patient's tumor, physicians may be able to identify aggressive disease at the outset of diagnosis and start treatment earlier,» said Sungyong You, PhD, an instructor in the Cedars - Sinai Department of Surgery and the first author of the study.
This same feature, tumor heterogeneity, may reduce the ability to identify critical gene expression changes when comparing mean gene expression in adjacent tumor and normal tissues, as tumors of the same type may have different sets of genes differentially expressed.
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.
Indeed, the team identified high variation in adjacent «normal» tissue samples, which are typically used as control samples for comparison in analyses based on mean gene expression.
In the new study, Burrows and colleagues focused on the protein HIC1, or «Hypermethylated in cancer 1, «so named because it was first identified in cancer cells; however, it also helps regulate gene expression in normal cells.
The results of the study challenge the model that comparing mean gene expression in adjacent normal and cancer tissues is the best approach to identifying cancer - associated genes.
Dartmouth Institute for Quantitative Biomedical Sciences (iQBS) researchers developed a new gene expression analysis approach for identifying cancer genes.
Using methods for analyzing gene expression in mice, they identified several members of the «BMP» family of proteins from among more than 20,000 possible candidates.
The researchers also examined gene expression in pre-existing skin biopsies from the same twins to identify possible gene pathways linked to acne.
This under - expression was particularly interesting because although hundreds of genes have already been identified for their presumed roles in autistic disorders, each one alone can at best only explain 1 % of cases.
The aim now is to identify the molecules that regulate expression of this gene upstream, and those that interact with the enzyme, to understand their modes of action and determine how normal MOCOS expression could be restored..
This observation is further supported by the fact that studying alterations in the expression of genes also made it possible to identify persons whose levels of interleukin 6, an inflammation marker, were reduced as their serum vitamin D levels increased.
The researchers» next step is to use the genomic data they collected from the families — including full genome sequences and gene expression data — to begin identifying the specific genes that contribute to risk for bipolar disorder.
The researchers believe that studying the expression of vitamin D dependent genes in tissues is a novel way to identify individuals who might benefit from long - term vitamin D supplementation.
Studying the expression of genes that are dependent on vitamin D makes it possible to identify individuals who will benefit from vitamin D supplementation, shows a University of Eastern Finland study published recently in PLoS One.
The MD Anderson team also is looking at gene expression, mutations and immune profiling to identify potential differences in melanoma in obese and non-obese patients and developing preclinical models.
In a Cell paper published on April 7, Lanner's team analysed gene expression in 88 early human embryos and is using those data to identify genes to disrupt in embryos using CRISPR — Cas9.
Easily accessible from nasal biopsies, these cells — which belong to nerve tissues and can differentiate into neurons — constitute an interesting model to identify the genes and proteins whose expression is deregulated in patients with ASD.
The study used novel gene expression methods that allowed the researchers to identify over one thousand genes that are involved in the regeneration process of individual stentor cells.
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