Results 81 to 90 of about 594,887 (306)
Security-oriented data grids for microarray expression profiles [PDF]
, 2007 Microarray experiments are one of the key ways in which gene activity can be identified and measured thereby shedding light and understanding for example on biological processes. The BBSRC funded Grid enabled Microarray Expression Profile Search (GEMEPS)
Bayliss, C., Jiang, J., Sinnott, R.O.
core +1 more source
A lesson for cancer research : placental microarray gene analysis in preeclampsia [PDF]
, 2012 Tumor progression and pregnancy share many common features, such as immune tolerance and invasion. The invasion of trophoblasts in the placenta into the uterine wall is essential for fetal development, and is thus precisely regulated.
Louwen, Frank +4 more
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MiR‐513a promotes human erythroid differentiation by modulating c‐Jun
FEBS Open Bio, EarlyView.During early human erythropoiesis, miR‐513a promoted erythroid differentiation in primary human CD34+ hematopoietic stem‐progenitor cells and human TF‐1 erythroleukemic cells by indirectly decreasing c‐Jun and phospho‐c‐Jun expression, which are associated with increased GATA1 expression.
MinJung Kim +11 more
wiley +1 more source
Microarray sub-grid detection: A novel algorithm [PDF]
, 2007 This is the post print version of the article. The official published version can be obtained from the link below - Copyright 2007 Taylor & Francis LtdA novel algorithm for detecting microarray subgrids is proposed. The only input to the algorithm is the
Antoniol G. +8 more
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FEBS Open Bio, EarlyView.Pharmacological inhibition of PERK in a DEN‐induced mouse model of liver cancer does not reduce tumor burden but alters cellular stress signaling. Despite blocking PERK activity, downstream stress responses, including CHOP expression, remain active, suggesting compensatory mechanisms within the unfolded protein response that may influence tumor ...
Ada Lerma‐Clavero +5 more
wiley +1 more source
maigesPack: A Computational Environment for Microarray Data Analysis [PDF]
, 2015 Microarray technology is still an important way to assess gene expression in molecular biology, mainly because it measures expression profiles for thousands of genes simultaneously, what makes this technology a good option for some studies focused on ...
Esteves, Gustavo H., Hirata Jr, Roberto
core
SMAGEXP: a galaxy tool suite for transcriptomics data meta-analysis
, 2018 Bakground: With the proliferation of available microarray and high throughput sequencing experiments in the public domain, the use of meta-analysis methods increases.
Blanck, Samuel, Marot, Guillemette
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Differential gene expression graphs: A data structure for classification in DNA microarrays [PDF]
, 2008 This paper proposes an innovative data structure to be used as a backbone in designing microarray phenotype sample classifiers. The data structure is based on graphs and it is built from a differential analysis of the expression levels of healthy and ...
Benso, Alfredo +3 more
core +1 more source
Shared Genetic Effects and Antagonistic Pleiotropy Between Multiple Sclerosis and Common Cancers
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Epidemiologic studies have reported inconsistent altered cancer risk in individuals with multiple sclerosis (MS). Factors such as immune dysregulation, comorbidities, and disease‐modifying therapies may contribute to this variability.
Asli Buyukkurt +5 more
wiley +1 more source
Сибирский онкологический журнал, 2019 Currently, the presence of the germinal mutation BRCA1 5382insC in breast cancer patients is one of the determining factors for prescribing platinum-based drugs.
M. M. Tsyganov +7 more
doaj +1 more source