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Institution

State University of New York System

EducationAlbany, New York, United States
About: State University of New York System is a education organization based out in Albany, New York, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 54077 authors who have published 78070 publications receiving 2985160 citations.
Topics: Population, Poison control, RNA, Gene, Receptor


Papers
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Journal ArticleDOI
TL;DR: In this paper, a mass spectrometric method was developed to quantify tRNA modifications in Saccharomyces cerevisiae and revealed several novel biosynthetic pathways for RNA modifications and led to the discovery of signature changes in the spectrum of tRN modifications in the damage response to mechanistically different toxicants.
Abstract: Decades of study have revealed more than 100 ribonucleoside structures incorporated as post-transcriptional modifications mainly in tRNA and rRNA, yet the larger functional dynamics of this conserved system are unclear. To this end, we developed a highly precise mass spectrometric method to quantify tRNA modifications in Saccharomyces cerevisiae. Our approach revealed several novel biosynthetic pathways for RNA modifications and led to the discovery of signature changes in the spectrum of tRNA modifications in the damage response to mechanistically different toxicants. This is illustrated with the RNA modifications Cm, m(5)C, and m(2) (2)G, which increase following hydrogen peroxide exposure but decrease or are unaffected by exposure to methylmethane sulfonate, arsenite, and hypochlorite. Cytotoxic hypersensitivity to hydrogen peroxide is conferred by loss of enzymes catalyzing the formation of Cm, m(5)C, and m(2) (2)G, which demonstrates that tRNA modifications are critical features of the cellular stress response. The results of our study support a general model of dynamic control of tRNA modifications in cellular response pathways and add to the growing repertoire of mechanisms controlling translational responses in cells.

378 citations

Journal ArticleDOI
TL;DR: An understanding of mixed-bacterial metabolism, knowledge of how to manipulate and work with mixed bacteria, and the use of a bacterial metabolic vector approach have led to a more ecological focus for dealing with dental caries, and new means of developing and evaluating anti-caries agents directed toward microbial mixtures that counter excess acid accumulation and tooth demineralization.
Abstract: For more than 100 years, investigators have tried to identify the bacteria responsible for dental caries formation and to determine whether their role is one of specificity. Frequent association of Lactobacillus acidophilus and Streptococcus mutans with caries activity gave credence to their being specific cariogens. However, dental caries occurrence in their absence, and the presence of other bacteria able to produce substantial amounts of acid from fermentable carbohydrate, provided arguments for non-specificity. In the 1940s, Stephan found that the mixed bacteria in dental plaque produced a rapid drop in pH following a sugar rinse and a slow pH return toward baseline. This response became a cornerstone of plaque and mixed-bacterial involvement in dental caries causation when Stephan showed that the pH decrease was inversely and clearly related to caries activity. Detailed examination of the pH (acid-base) metabolisms of oral pure cultures, dental plaque, and salivary sediment identified the main bacteria and metabolic processes responsible for the pH metabolism of dental plaque. It was discovered that this metabolism in different individuals, in plaque in different dentition locations within individuals, and in individuals of different levels of caries activity could be described in terms of a relatively small number of acid-base metabolic processes. This led to an overall bacterial metabolic vector concept for dental plaque, and helped unravel the bacterial involvement in the degradation of the carbohydrate and nitrogenous substrates that produce the acids and alkali that affect the pH and favor and inhibit dental caries production, respectively. A central role of oral arginolytic and non-arginolytic acidogens in the production of the Stephan pH curve was discovered. The non-arginolytics could produce only the pH fall part of this curve, whereas the arginolytics could produce both the fall and the rise. The net result of the latter was a less acidic Stephan pH curve. Both kinds of bacteria are numerous in dental plaque. By varying their ratios, we were easily able to produce Stephan pH curves indicative of different levels of caries activity. This and substantial related metabolic and microbial data indicated that it is the proportions and numbers of acid-base-producing bacteria that are at the core of dental caries activity. The elimination of S. mutans, as with a vaccine, was considered to have little chance of success in preventing dental caries in humans, since, in most cases, this would simply make more room for one or more of the many acidogens remaining. An understanding of mixed-bacterial metabolism, knowledge of how to manipulate and work with mixed bacteria, and the use of a bacterial metabolic vector approach as described in this article have led to (1) a more ecological focus for dealing with dental caries, and (2) new means of developing and evaluating anti-caries agents directed toward microbial mixtures that counter excess acid accumulation and tooth demineralization.

378 citations

Journal ArticleDOI
TL;DR: A retrospective study of factors influencing survival in 1,103 patients with systemic lupus erythematosus was carried out at 9 university centers diverse in geographic, socioeconomic, and racial characteristics.
Abstract: A retrospective study of factors influencing survival in 1,103 patients with systemic lupus erythematosus (SLE) was carried out at 9 university centers diverse in geographic, socioeconomic, and racial characteristics. The mortality and disease characteristics of the patients at study entry varied widely among centers. The survival rates from the time patients with a diagnosis of SLE were first evaluated at the participating center was 90% at 1 year, 77% at 5 years, and 71% at 10 years. Patients with a serum creatinine greater than 3 mg/dl at study entry had the lowest survival rates: 48%, 29%, and 12% at 1, 5, and 10 years, respectively. Survival rate also correlated independently with the entry hematocrit, degree of proteinuria, number of preliminary American Rheumatism Association criteria for SLE satisfied, and source of funding of medical care. When data were corrected for socioeconomic status, race/ethnic origin did not significantly influence survival. Survival rates varied widely at different participating institutions, generally due to differences in disease severity. Place of treatment was independently associated with survival only in the second year after study entry. Disease duration before study entry did not account for the differences in disease severity.

378 citations

Proceedings ArticleDOI
01 Jun 2003
TL;DR: The notion of a connected sensor cover is developed and a centralized approximation algorithm that constructs a topology involving a near-optimal connected sensors cover is designed, proving that the size of the constructed topology is within an O(logn) factor of the optimal size, where n is the network size.
Abstract: Spatial query execution is an essential functionality of a sensor network, where a query gathers sensor data within a specific geographic region. Redundancy within a sensor network can be exploited to reduce the communication cost incurred in execution of such queries. Any reduction in communication cost would result in an efficient use of the battery energy, which is very limited in sensors. One approach to reduce the communication cost of a query is to self-organize the network, in response to a query, into a topology that involves only a small subset of the sensors sufficient to process the query. The query is then executed using only the sensors in the constructed topology.In this article, we design and analyze algorithms for such self-organization of a sensor network to reduce energy consumption. In particular, we develop the notion of a connected sensor cover and design a centralized approximation algorithm that constructs a topology involving a near-optimal connected sensor cover. We prove that the size of the constructed topology is within an log n factor of the optimal size, where n is the network size. We also develop a distributed self-organization version of our algorithm, and propose several optimizations to reduce the communication overhead of the algorithm. Finally, we evaluate the distributed algorithm using simulations and show that our approach results in significant communication cost reduction.

378 citations

Journal ArticleDOI
01 Sep 1998
TL;DR: A response verification (RV) procedure in which each outcome is determined by two opposite trials in which accuracy for opposite-trial pairs exceeds that predicted from the accuracies of individual trials, and greatly exceeds that for same- trial pairs.
Abstract: Humans can learn to control the amplitude of electroencephalographic (EEG) activity in specific frequency bands over sensorimotor cortex and use it to move a cursor to a target on a computer screen. EEG-based communication could provide a new augmentative communication channel for individuals with motor disabilities. In the present system, each dimension of cursor movement is controlled by a linear equation. While the intercept in the equation is continually updated, it does not perfectly eliminate the impact of spontaneous variations in EEG amplitude. This imperfection reduces the accuracy of cursor movement. The authors evaluated a response verification (RV) procedure in which each outcome is determined by two opposite trials (e.g., one top-target trial and one bottom-target trial). Success, or failure, on both is required for a definitive outcome. The RV procedure reduces errors due to imperfection in intercept selection. Accuracy for opposite-trial pairs exceeds that predicted from the accuracies of individual trials, and greatly exceeds that for same-trial pairs. The RV procedure should be particularly valuable when the first trial has >2 possible targets, because the second trial need only confirm or deny the outcome of the first, and it should be applicable to nonlinear as well as to linear algorithms.

378 citations


Authors

Showing all 54162 results

NameH-indexPapersCitations
Meir J. Stampfer2771414283776
Bert Vogelstein247757332094
Zhong Lin Wang2452529259003
Peter Libby211932182724
Robert M. Califf1961561167961
Stephen V. Faraone1881427140298
David L. Kaplan1771944146082
David Baker1731226109377
Nora D. Volkow165958107463
David R. Holmes1611624114187
Richard J. Davidson15660291414
Ronald G. Crystal15599086680
Jovan Milosevic1521433106802
James J. Collins15166989476
Mark A. Rubin14569995640
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202325
2022168
20212,825
20202,891
20192,528
20182,456