University of Medicine and Dentistry of New Jersey

About: University of Medicine and Dentistry of New Jersey is a based out in . It is known for research contribution in the topics: Population & Pregnancy. The organization has 14634 authors who have published 19610 publications receiving 1041794 citations.

The Developmental Neurobiology of Autism Spectrum Disorder

Abstract: Editor’s Note: Two reviews in this week’s issue examine the rapidly expanding interest in autism research in the neuroscience community. Moldin et al. provide a brief prospective on the overall state of research in autism. DiCicco-Bloom and colleagues summarize their presentations at the

A miR-24 microRNA binding-site polymorphism in dihydrofolate reductase gene leads to methotrexate resistance.

Abstract: MicroRNAs are predicted to regulate ≈30% of all human genes by targeting sequences in their 3′ UTR Polymorphisms in 3′ UTR of several genes have been reported to affect gene expression, but the mechanism is not fully understood Here, we demonstrate that 829C→T, a naturally occurring SNP, near the miR-24 binding site in the 3′ UTR of human dihydrofolate reductase (DHFR) affects DHFR expression by interfering with miR-24 function, resulting in DHFR overexpression and methotrexate resistance miR-24 has a conserved binding site in DHFR 3′ UTR DHFR with WT and 3′ UTR containing the 829C→T mutation were expressed in DG44 cells that lack DHFR Overexpression of miR-24 in cells with WT DHFR resulted in down-regulation of DHFR protein, whereas no effect on DHFR protein expression was observed in the mutant 3′ UTR-expressing cells Inhibition of endogenous miR-24 with a specific inhibitor led to up-regulation of DHFR in WT and not in mutant cells Cells with the mutant 3′ UTR had a 2-fold increase in DHFR mRNA half-life, expressed higher DHFR mRNA and DHFR protein, and were 4-fold more resistant to methotrexate as compared with WT cells SNP-829C→T, therefore, leads to a decrease in microRNA binding leading to overexpression of its target and results in resistance to methotrexate We demonstrate that a naturally occurring miRSNP (a SNP located at or near a microRNA binding site in 3′ UTR of the target gene or in a microRNA) is associated with enzyme overproduction and drug resistance

Common themes in assembly and function of eukaryotic transcription complexes.

Abstract: Eukaryotes contain three distinct RNA polymerase enzymes, each responsible for the transcription of a subclass of nuclear genes. Despite this division of labor, each RNA polymerase system follows a common blueprint to execute the loading of the polymerase onto the relevant promoter region. The RNA polymerase II system appears unique in that after RNA polymerase II has loaded onto the DNA, two auxiliary factors, TFIIE and TFIIH, are necessary for its escape from the promoter region. The complexity of the RNA polymerase II initiation pathway provides a multitude of potential targets for transcriptional activators. Tight control over transcription initiation levels is afforded by multiple cofactors that both enhance and repress.

Online chemical modeling environment (OCHEM): web platform for data storage, model development and publishing of chemical information

Abstract: The Online Chemical Modeling Environment is a web-based platform that aims to automate and simplify the typical steps required for QSAR modeling. The platform consists of two major subsystems: the database of experimental measurements and the modeling framework. A user-contributed database contains a set of tools for easy input, search and modification of thousands of records. The OCHEM database is based on the wiki principle and focuses primarily on the quality and verifiability of the data. The database is tightly integrated with the modeling framework, which supports all the steps required to create a predictive model: data search, calculation and selection of a vast variety of molecular descriptors, application of machine learning methods, validation, analysis of the model and assessment of the applicability domain. As compared to other similar systems, OCHEM is not intended to re-implement the existing tools or models but rather to invite the original authors to contribute their results, make them publicly available, share them with other users and to become members of the growing research community. Our intention is to make OCHEM a widely used platform to perform the QSPR/QSAR studies online and share it with other users on the Web. The ultimate goal of OCHEM is collecting all possible chemoinformatics tools within one simple, reliable and user-friendly resource. The OCHEM is free for web users and it is available online at http://www.ochem.eu.