scispace - formally typeset
Search or ask a question
Institution

Louisiana State University

EducationBaton Rouge, Louisiana, United States
About: Louisiana State University is a education organization based out in Baton Rouge, Louisiana, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 40206 authors who have published 76587 publications receiving 2566076 citations. The organization is also known as: LSU & Louisiana State University and Agricultural and Mechanical College.
Topics: Population, Poison control, Wetland, Autism, Sediment


Papers
More filters
Journal ArticleDOI
TL;DR: Examination of micro-RNA abundance in the hippocampal region of fetal, adult and Alzheimer's disease brain indicates that micro-RNAs encoding miR-9, microR-124a,miR-125b, miM-128, miR -132 and miR –219 are abundantly represented in fetal hippocampus, are differentially regulated in aged brain, and an alteration in specific micro- RNA complexity occurs in Alzheimer hippocampus.
Abstract: Micro-RNAs constitute a family of small noncoding ribonucleic acids that are posttranscriptional regulators of messenger RNA activity. Although micro-RNAs are known to be dynamically regulated during neural development, the role of micro-RNAs in brain aging and neurodegeneration is not known. This study examined micro-RNA abundance in the hippocampal region of fetal, adult and Alzheimer's disease brain. The data indicate that micro-RNAs encoding miR-9, miR-124a, miR-125b, miR-128, miR-132 and miR-219 are abundantly represented in fetal hippocampus, are differentially regulated in aged brain, and an alteration in specific micro-RNA complexity occurs in Alzheimer hippocampus. These data are consistent with the idea that altered micro-RNA-mediated processing of messenger RNA populations may contribute to atypical mRNA abundance and neural dysfunction in Alzheimer's disease brain.

626 citations

Journal ArticleDOI
TL;DR: The importance of miRNAs in regulating cellular differentiation and proliferation is not surprising, and their misregulation is linked to cancer.
Abstract: MicroRNAs (miRNAs) are small noncoding, double-stranded RNA molecules that can mediate the expression of target genes with complementary sequences. About 5,300 human genes have been implicated as targets for miRNAs, making them one of the most abundant classes of regulatory genes in humans. MiRNAs recognize their target mRNAs based on sequence complementarity and act on them to cause the inhibition of protein translation by degradation of mRNA. Besides contributing to development and normal function, microRNAs have functions in various human diseases. Given the importance of miRNAs in regulating cellular differentiation and proliferation, it is not surprising that their misregulation is linked to cancer. In cancer, miRNAs function as regulatory molecules, acting as oncogenes or tumor suppressors. Amplification or overexpression of miRNAs can down-regulate tumor suppressors or other genes involved in cell differentiation, thereby contributing to tumor formation by stimulating proliferation, angiogenesis, and invasion; i.e., they act as oncogenes. Similarly, miRNAs can down-regulate different proteins with oncogenic activity; i.e., they act as tumor suppressors. This review will highlight the recent discoveries regarding miRNAs and their importance in cancer.

625 citations

Journal ArticleDOI
TL;DR: This paper found that expertise tends to have the greatest effect on persuasion, with an average of 16 percent of the explained variance being due to the expert versus non-expert manipulation, on average, source manipulations account for nine percent of explained variance among studies reporting significant findings.
Abstract: The effect of a message source on the persuasion of a target audience has been a topic of interest to scholars in psychology, consumer behavior, and communications for many years. Narrative reviews of this literature are available; the contribution of this study is that we present a quantitative review of studies of source effects on persuasion. One of our research goals is to determine how strong and consistent source manipulations tend to be. We find that, on average, source manipulations account for nine percent of explained variance among studies reporting significant findings. In particular, expertise tends to have the greatest effect on persuasion with an average of 16 percent of the explained variance being due to the expert versus non-expert manipulation. As well as gaining insight into the pattern of results across a body of literature, our findings may be used as benchmarks by researchers, as advocated by Sawyer and Ball (1981), to evaluate results of future persuasion studies employing a source manipulation.

622 citations

Journal ArticleDOI
TL;DR: This paper provides a review of many of the AT models that have been use successfully in this area and makes important contributions in the development of appropriate stochastic models for AT data.
Abstract: Engineers in the manufacturing industries have used accelerated test (AT) experiments for many decades. The purpose of AT experiments is to acquire reliability information quickly. Test units of a material, component, subsystem, or entire systems are subjected to higher-than-usual levels of one or more accelerating variables such as temperature or stress. Then the AT results are used to predict life of the units at use conditions. The extrapolation is typically justified (correctly or incorrectly) on the basis of physically motivated models or a combination of empirical model fitting with a sufficient amount of previous experience in testing similar units. The need to extrapolate in both time and the accelerating variables generally necessitates the use of fully parametric models. Statisticians have made important contributions in the development of appropriate stochastic models for AT data (typically a distribution for the response and regression relationships between the parameters of this distribution and the accelerating variable(s)), statistical methods for AT planning (choice of accelerating variable levels and allocation of available test units to those levels), and methods of estimation of suitable reliability metrics. This paper provides a review of many of the AT models that have been use successfully in this area.

622 citations

Journal ArticleDOI
TL;DR: In contrast to other phosphopantetheinyl transferases (PPTases) previously examined, Sfp will modify the apo forms of heterologous recombinant proteins, including the PCP domain of Saccharomyces cerevisiae Lys2, the aryl carrier protein (ArCP) domain of Escherichia coli EntB, and the E. coli acyl carrierprotein (ACP) subunit, suggesting Sfp as a good candidate forheterologous coexpression
Abstract: The Bacillus subtilis enzyme Sfp, required for production of the lipoheptapeptide antibiotic surfactin, posttranslationally phosphopantetheinylates a serine residue in each of the seven peptidyl carrier protein domains of the first three subunits (SrfABC) of surfactin synthetase to yield docking sites for amino acid loading and peptide bond formation. With recombinant Sfp and 16−17-kDa peptidyl carrier protein (PCP) domains excised from the SrfB1 and SrfB2 modules as apo substrates, kcat values of 56−104 min-1 and Km values of 1.3−1.8 μM were determined, indicating equivalent recognition of the adjacent PCP domains by Sfp. In contrast to other phosphopantetheinyl transferases (PPTases) previously examined, Sfp will modify the apo forms of heterologous recombinant proteins, including the PCP domain of Saccharomyces cerevisiae Lys2 (involved in lysine biosynthesis), the aryl carrier protein (ArCP) domain of Escherichia coli EntB (involved in enterobactin biosynthesis), and the E. coli acyl carrier protein (...

622 citations


Authors

Showing all 40485 results

NameH-indexPapersCitations
H. S. Chen1792401178529
John A. Rogers1771341127390
Omar M. Yaghi165459163918
Barry M. Popkin15775190453
John E. Morley154137797021
Claude Bouchard1531076115307
Ruth J. F. Loos14264792485
Ali Khademhosseini14088776430
Shanhui Fan139129282487
Joseph E. LeDoux13947891500
Christopher T. Walsh13981974314
Kenneth A. Dodge13846879640
Steven B. Heymsfield13267977220
George A. Bray131896100975
Zhanhu Guo12888653378
Network Information
Related Institutions (5)
Pennsylvania State University
196.8K papers, 8.3M citations

93% related

University of Minnesota
257.9K papers, 11.9M citations

93% related

University of California, Davis
180K papers, 8M citations

92% related

University of Texas at Austin
206.2K papers, 9M citations

92% related

Ohio State University
222.7K papers, 8.3M citations

92% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202362
2022608
20213,042
20203,095
20192,874
20182,762