Optimal decoding of information from a genetic network
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
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]
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
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
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]
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]
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
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
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]
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

