Results 61 to 70 of about 7,080,207 (344)

Optimal decoding of information from a genetic network

open access: yes, 2016
Gene expression levels carry information about signals that have functional significance for the organism. Using the gap gene network in the fruit fly embryo as an example, we show how this information can be decoded, building a dictionary that ...
Bialek, William   +4 more
core   +1 more source

Decision Trees for the Analysis of Gene Expression Levels of COVID-19: An Association with Alzheimer’s Disease

open access: yesBioMedInformatics
COVID-19 has caused millions of deaths around the world. The respiratory system is the main target of this disease, but it has also been reported to attack the central nervous system, creating a neuroinflammatory environment with the release of ...
Jesús Alberto Torres-Sosa   +3 more
doaj   +1 more source

Expression profile of genes involved in hydrogen sulphide liberation by _Saccharomyces cerevisiae_ grown under different nitrogen concentrations [PDF]

open access: yes, 2008
The present work aims to elucidate molecular mechanisms underlying hydrogen sulphide production in _S. cerevisiae_ associated to nitrogen deficiency. To assess, at a genome-wide level, how the yeast strain adapted to the progressive nitrogen depletion ...
Ana Mendes-Ferreira   +4 more
core   +2 more sources

Adipose-Derived Circulating miRNAs Regulate Gene Expression in Other Tissues

open access: yesNature, 2017
Adipose tissue is a major site of energy storage and has a role in the regulation of metabolism through the release of adipokines. Here we show that mice with an adipose-tissue-specific knockout of the microRNA (miRNA)-processing enzyme Dicer (ADicerKO),
Thomas Thomou   +12 more
semanticscholar   +1 more source

Expression level of pluripotent genes in incomplete reprogramming

open access: yesAsian Pacific Journal of Tropical Medicine, 2014
To compare the expression levels of pluripotent genes among incomplete reprogrammed colonies and induced pluripotent stem cells (iPSCs), to explore the relationship between the expression of pluripotent genes and incomplete reprogramming.Four genes (Oct4, Sox2, Klf4, C-Myc) were introduced into human foreskin fibroblasts (HFFs) by retroviruses.
Zhao, Xing   +8 more
openaire   +2 more sources

Transcriptome-Level Signatures in Gene Expression and Gene Expression Variability during Bacterial Adaptive Evolution [PDF]

open access: yesmSphere, 2017
Even initially sensitive bacteria can rapidly thwart antibiotic treatment through stress response processes known as adaptive resistance. Adaptive resistance fosters transient tolerance increases and the emergence of mutations conferring heritable drug resistance. In order to extend the applicable lifetime of new antibiotics, we must seek to hinder the
Keesha E. Erickson   +2 more
openaire   +3 more sources

Plastid redox state and sugars: Interactive regulators of nuclear-encoded photosynthetic gene expression [PDF]

open access: yes, 2001
Feedback regulation of photosynthesis by carbon metabolites has long been recognized, but the underlying cellular mechanisms that control this process remain unclear.
Dominy, P J   +3 more
core   +2 more sources

Large Scale Comparison of Gene Expression Levels by Microarrays and RNAseq Using TCGA Data

open access: yesPLoS ONE, 2013
RNAseq and microarray methods are frequently used to measure gene expression level. While similar in purpose, there are fundamental differences between the two technologies.
Yan Guo   +5 more
semanticscholar   +1 more source

Predicting Gene Expression Level from Codon Usage Bias

open access: yesMolecular Biology and Evolution, 2006
The "expression measure" of a gene, E(g), is a statistic devised to predict the level of gene expression from codon usage bias. E(g) has been used extensively to analyze prokaryotic genome sequences. We discuss 2 problems with this approach. First, the formulation of E(g) is such that genes with the strongest selected codon usage bias are not likely to
Ian, Henry, Paul M, Sharp
openaire   +2 more sources

Pathway-level information extractor (PLIER) for gene expression data [PDF]

open access: yesNature Methods, 2017
AbstractA major challenge in gene expression analysis is to accurately infer relevant biological insight, such as regulation of cell type proportion or pathways, from global gene expression studies. We present a general solution for this problem that outperforms available cell proportion inference algorithms, and is more widely useful to automatically ...
Weiguang Mao   +4 more
openaire   +3 more sources

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