aThe gene expression modulator (GEM) design. 5’ and 3’ GEM consist of an array of UPEs and terminators, respectively, separated by LoxPsym sites. Different promoter and terminator parts have different strengths (color scale). Upon induction of Cre recombination, blocks in each GEM are shuffle...
A simple, fast and inexpensive method for transient gene expression in strawberry fruit using Agrobacterium as the transforming agent was first described by Spolaore et al. [4]. The β-glucuronidase (GUS) reporter gene was interrupted by a plant intron, driven by the CaMV 35S promoter, in ...
James WFickettWyeth WWasserman, inCurrent Opinion in Biotechnology, 2000 Correlation betweenmRNA expression levelsand the corresponding protein levels cannot reliably be determined given the current amount and precision of data[15–17]. Much of the interest ingene expression levels, however, is in qua...
The CommonMind Consortium sequenced RNA from dorsolateral prefrontal cortex of people with schizophrenia (N = 258) and control subjects (N = 279), creating a resource of gene expression and its genetic regulation. Using this resource, ∼20% of schizophrenia loci have variants that could ...
Functional annotation of genes involved in generic pathways and processes The average expression profiles of the genes in the largest 50 clusters are available in Additional file4: Figure S2. As we noted previously in an analysis of the mouse BioGPS data, many of the clusters are not cell line...
The goal ofgenepopeditis to provide a simple and flexible tool for manipulating large multi-locus genotype datasets in R. **Note input parameters for genepopedit versions > 1.0.0.5 are now all completely lowercase.** Use genepopedit to subset a SNP dataset by: ...
To help researchers in their quest to understand how the genome influences phenotype, we’ve developed a complete set of trusted solutions for every step in the gene editing workflow. Design your CRISPR-Cas9 system or TALEN constructs for precise cleavage, knock-in, and tagging, transfect them ...
We provide ChromGene assignments for over 100 cell and tissue types. We characterize the mixture components in terms of gene expression, constraint, and other gene annotations. The ChromGene method and annotations will provide a useful resource for gene-based epigenomic analyses....
The model predicts that selective pressures against mutations leading to changes of gene expression level or protein encoding on average are stronger in highly expressed genes; and, as a result, the protein evolutionary rate appears negatively correlated with its gene expression level. Similarly, ...
Bayesian inference is particularly suitable for inferring GRN as it will learn a posterior distribution for each variable, with a high tolerance on the noise existing in the gene expression data or caused by non-perfect prior assumptions. 3.1 A hierarchical Bayesian model Given gene expression data...