Sentences with phrase «gene signature»

A "gene signature" refers to a pattern or combination of genes that can be used as a unique identifier or characteristic for a specific condition, disease, or biological process. It helps scientists and researchers understand and identify certain traits or markers within our genes. Full definition
The score is based on a 12 - gene signature identified through analysis of large genomic datasets and clinical patient data.
«MEGENA will help scientists flesh out novel pathways and key targets in complex diseases, while SuperExactTest will provide a clearer understanding of the genome by comparing a large number of gene signatures
The methane stable isotopic signature indicated production through acetoclastic methanogenesis, but gene signatures from acetoclastic and hydrogenotrophic methanogenic Archaea were detected in both polygonal and runnel ponds.
Today's findings augment recent research also published in Nature (Dec. 7, 2016) detailing the team's development of a «stemness biomarker» — a 17 - gene signature derived from leukemia stem cells that can predict at diagnosis which AML patients will respond to standard treatment.
The Duke team has previously explored blood tests to examine a patient's RNA for gene signatures to distinguish bacterial and viral infections in the upper respiratory tract and is working with a private company to develop potential diagnostics.
Based on the PAM50 gene signature initially discovered by Charles Perou, Ph.D. and colleagues, the Prosigna Assay is an in vitro diagnostic tool that utilizes gene expression data weighted together with clinical variables to generate a risk category and numerical score to assess a patient's risk of distant recurrence of disease.
His troubles also led to an Institute of Medicine report that faulted Duke's oversight and found broad problems in the cancer field with using gene signatures and other biomarkers to guide treatment.
Wang, J., Chen, G., Li, M. & Pan, Y. Integration of breast cancer gene signatures based on graph centrality.
A study to identify a predictive gene signature in the follicular lymphoma patients treated with pidilizumab in the current trial to facilitate identification of patients who are most likely to respond to the therapy.
Moreover, we have determined that the mechanism is symptomatic of a broadly altered state in the cell, with a unique gene signature and newly exposed vulnerabilities that can be targeted with existing drugs.»
Based on these results, the researchers concluded that, for future clinical trials involving ibrutinib, the ABC DLBCL gene signature could be used to identify patients who would be more likely to respond to the drug.
The researchers analyzed the role of NF - κB in lung cancer cells that were used to develop the NF - κB gene signature.
The National Cancer Institute (NCI), which had questions about results for a Duke gene signature it wanted to use in a new trial, also began to investigate.
When the team looked at what gene signatures the RORγt - dependent ILCs expressed, they found high expression of major histocompatibility complex class II (MHCII) protein, which some cells use to display foreign proteins to the immune system and directly interact with T cells.
«What we discovered was that if tumors are taken from relatively young women, under age 53 with stage 1 or stage 2 breast cancer, and they have a high Myc, low TXNIP gene signature, these patients are more likely to have secondary metastasis later in life.
In the third phase, initially proliferating myofibroblasts lose smooth muscle actin expression and convert to a nonproliferating, matrix - producing phenotype with a newly acquired tendon gene signature.
Using advanced high - throughput technology, the laboratory has developed gene signature profiles to help predict disease recurrence and response to medical therapies.
We also have longstanding collaborations with GlaxoSmithKline to study inhibitors of the MAPK pathway in immune cells and melanoma, tumour antigens and predictive immune gene signatures.
Independent replication of a melanoma subtype gene signature and evaluation of its prognostic value and biological correlates in a population cohort.
(B) GSEA analysis of the indicated gene signatures in ABL1 / ABL2 knockdown cells compared with control cells (Scr).
Blood Gene Signatures of Chagas disease Cardiomyopathy with or without ventricular dysfunction.
Development of gene signatures to predict treatment efficacy in endocrine resistant ER + breast cancers
Leukemia researchers at Princess Margaret Cancer Centre have developed a 17 - gene signature derived from leukemia stem cells that can predict at diagnosis if patients with acute myeloid leukemia (AML) will respond to standard treatment.
We categorized samples in multiple breast cancer data sets by PAM50 gene signature (Parker et al., 2009).
Anil Potti had published papers in prominent journals identifying gene signatures in tumors that could predict how a patient would respond to treatment.
The authors defined the gene signature of the different regions surrounding the wound to uncover the gene expression signature of the cells that actively divide and those that migrate to repair the wound.
Aggressive tumours could be identified by a 70 - gene signature.
The gene signature identified by Hancock and his colleagues relates to a special type of immune suppression called cellular reprogramming and suggests that treating inflammation in sepsis is a bad idea.
The researchers found that, beyond conferring resistance to proteasome inhibitors, the suppressed expression of proteasome subunits reflects a broad remodeling of the cell's gene signature.
«We identified a gene signature that is associated with the eventual diagnosis of sepsis and subsequent organ failure,» says Bob Hancock, a professor in UBC's Dept. of Microbiology and Immunology who co-authored this study with John Boyd, a physician at St Paul's Hospital and an assistant professor at UBC.
Those trials have since been halted, but the Institute of Medicine is setting up a panel to study clinical use of these gene signatures.
But we needed a gene signature consisting of far fewer genes for the test to be clinically useful.»
The eight - gene signature was also compatible for people with lower grade glioma.
«If our discovery of these genes is validated in other studies, we could use this «gene signature» to determine the best treatments or path of treatment.»
Glioblastoma cells from patients that could be linked by the gene signature analysis with an immature origin generally showed a higher sensitivity to cancer drugs than glioblastoma cells that were associated with a more differentiated cell of origin.
They were able to identify a «gene signature» of almost 200 genes.
«When we compared the gene signature activity of glioblastoma cells from around 60 patients we found that a large number of patients could be divided into subgroups that showed a correlation between gene activity, tumor cell characteristics and cell of origin similar to the one we had seen in the mouse study.
Other biomarkers and genetic signatures are being used in an effort to predict the aggressiveness of an individual patient's prostate cancer, «but the current information doesn't make it possible for their gene signature to be an actual target for precision medicine targeted therapy,» Ellis explained.
We hope the gene signature we identified can provide the basis for an improved classification of glioblastoma patients and for identifying new targets for therapy,» says Uhrbom.
Gene signatures have generally been studied only as markers of poor prognoses, she says.»
(TORONTO, Canada — Dec. 7, 2016)-- Leukemia researchers at Princess Margaret Cancer Centre have developed a 17 - gene signature derived from leukemia stem cells that can predict at diagnosis if patients with acute myeloid leukemia (AML) will respond to standard treatment.
This technology is based on a gene signature known as «PAM50» originally discovered at UNC Lineberger Comprehensive Cancer Center by Chuck Perou, PhD, professor of genetics and pathology and UNC Lineberger member.
In contrast, supercluster 2 cells express a gene signature that is consistent with more differentiated, less aggressive cancers.
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