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Find video protocols related to scientific articles indexed in Pubmed.
Characterization of genome-wide transcriptional changes in liver and adipose tissues of ZDF (fa/fa) rats fed R-?-lipoic acid by next-generation sequencing.
Physiol. Genomics
PUBLISHED: 10-08-2013
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We report on the characterization of lipogenic tissue transcriptional networks that support physiological responses of obese rats to a lipid-lowering bioactive food compound, R-?-lipoic acid (LA). Nine-week-old male Zucker diabetic fatty (fa/fa) rats were fed a chow diet supplemented with 3 g LA per kg diet or pair fed for 2 wk. At the end of the trial, high-quality RNA was extracted from the liver and epididymal fat and subjected to transcriptome analysis by RNA-Seq technology. Results showed a substantially higher number of differentially expressed genes [DEG, false discovery rate adjusted P ? 0.05 and absolute log2 (fold change) ? 1] in the liver (110 genes) vs. epididymal fat (10 genes). Most epididymal fat DEG were also differentially expressed in liver and shared directionality of change. Gene Ontology (GO) analysis of these transcripts revealed significant enrichment of GO categories related to immune response, stress response, lipid metabolism, and carboxylic acid metabolic processes. Of interest, interferon-related genes involved in defense against microorganisms and innate immune response were induced by LA. Lipid metabolism-related transcript changes observed in LA-fed animals included downregulation of lipogenic genes (Pnpla3, Pnpla5, Elovl6, Acly, Gpam, and Aacs) and concomitant upregulation of short-, medium-, and long-chain fatty acid metabolic processes (Acot1, Acot2, Acsf2, and Crat). Transcriptional changes were accompanied by the lowering of abdominal adiposity and blood triacylglycerol levels. We conclude that LA dietary supplementation induces prominent gene expression changes in liver in support of significant improvement of whole-body lipid status.
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PubChem promiscuity: a web resource for gathering compound promiscuity data from PubChem.
Bioinformatics
PUBLISHED: 11-13-2011
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Promiscuity counts allow for a better understanding of a compounds assay activity profile and drug potential. Although PubChem contains a vast amount of compound and assay data, it currently does not have a convenient or efficient method to obtain in-depth promiscuity counts for compounds. PubChem promiscuity fills this gap. It is a Java servlet that uses NCBI Entrez (eUtils) web services to interact with PubChem and provide promiscuity counts in a variety of categories along with compound descriptors, including PAINS-based functional group detection.
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What is Visualize?

JoVE Visualize is a tool created to match the last 5 years of PubMed publications to methods in JoVE's video library.

How does it work?

We use abstracts found on PubMed and match them to JoVE videos to create a list of 10 to 30 related methods videos.

Video X seems to be unrelated to Abstract Y...

In developing our video relationships, we compare around 5 million PubMed articles to our library of over 4,500 methods videos. In some cases the language used in the PubMed abstracts makes matching that content to a JoVE video difficult. In other cases, there happens not to be any content in our video library that is relevant to the topic of a given abstract. In these cases, our algorithms are trying their best to display videos with relevant content, which can sometimes result in matched videos with only a slight relation.