Results 31 to 40 of about 3,125,604 (306)

Tumor-stroma derived gene expression patterns as prognosticators in breast cancer [PDF]

open access: yes, 2010
The stroma, which embeds epithelial cells, plays a major role in the shaping and physiological regulation of animal organs such as the breast. Aberrant functioning of the stroma was found to support tumorigenesis and cancer progression.
Rajski, Michal
core   +1 more source

A Gene Signature Derived from the Loss of CDKN1A (p21) Is Associated with CMS4 Colorectal Cancer [PDF]

open access: yes, 2021
The epithelial–mesenchymal transition (EMT) is associated with tumor aggressiveness and increased invasion, migration, metastasis, angiogenesis, and drug resistance.
Bäuerle, Tobias   +29 more
core   +1 more source

Identification of autoimmune gene signatures in autism [PDF]

open access: yesTranslational Psychiatry, 2011
The role of the immune system in neuropsychiatric diseases, including autism spectrum disorder (ASD), has long been hypothesized. This hypothesis has mainly been supported by family cohort studies and the immunological abnormalities found in ASD patients, but had limited findings in genetic association testing.
Jung, J-Y   +2 more
openaire   +4 more sources

A gene signature for post-infectious chronic fatigue syndrome [PDF]

open access: yes, 2009
Background: At present, there are no clinically reliable disease markers for chronic fatigue syndrome. DNA chip microarray technology provides a method for examining the differential expression of mRNA from a large number of genes.
Gow John W   +23 more
core   +2 more sources

Mouse p53-deficient cancer models as platforms for obtaining genomic predictors of human cancer clinical outcomes [PDF]

open access: yes, 2012
Mutations in the TP53 gene are very common in human cancers, and are associated with poor clinical outcome. Transgenic mouse models lacking the Trp53 gene or that express mutant Trp53 transgenes produce tumours with malignant features in many organs.
Miquel Taron   +64 more
core   +1 more source

Association between changes in gene signatures expression and disease activity among patients with systemic lupus erythematosus

open access: yesBMC Medical Genomics, 2019
Background We assessed the stability of BAFF, interferon, plasma cell and LDG neutrophil gene expression signatures over time, and whether changes in expression coincided with changes in SLE disease activity. Methods Two hundred forty-three patients with
Michelle Petri   +6 more
doaj   +1 more source

Homogeneous datasets of triple negative breast cancers enable the identification of novel prognostic and predictive signatures [PDF]

open access: yes, 2011
Background: Current prognostic gene signatures for breast cancer mainly reflect proliferation status and have limited value in triple-negative (TNBC) cancers.
Pusztai, Lajos   +44 more
core   +1 more source

A comparison of curated gene sets versus transcriptomics-derived gene signatures for detecting pathway activation in immune cells

open access: yesBMC Bioinformatics, 2020
Background Despite the significant contribution of transcriptomics to the fields of biological and biomedical research, interpreting long lists of significantly differentially expressed genes remains a challenging step in the analysis process.
Bin Liu   +5 more
doaj   +1 more source

Soft sweeps III: The signature of positive selection from recurrent mutation [PDF]

open access: yes, 2006
Polymorphism data can be used to identify loci at which a beneficial allele has recently gone to fixation, given that an accurate description of the signature of selection is available. In the classical model that is used, a favored allele derives from a
Pleuni S. Pennings   +4 more
core   +2 more sources

Signature of arylacetamide deacetylase expression is associated with prognosis and immune infiltration in ovarian cancer [PDF]

open access: yesObstetrics & Gynecology Science, 2022
Objective The role of the protein-coding gene arylacetamide deacetylase (AADAC) in the prognostication of ovarian cancer remains uncertain. We aimed to identify and validate its prognostic value using integrated bioinformatics analyses.
Jianyang Feng, Hong He
doaj   +1 more source

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