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Institution

Kettering University

EducationFlint, Michigan, United States
About: Kettering University is a education organization based out in Flint, Michigan, United States. It is known for research contribution in the topics: RNA & Antigen. The organization has 6842 authors who have published 7689 publications receiving 337503 citations. The organization is also known as: GMI Engineering & Management Institute & General Motors Institute.
Topics: RNA, Antigen, DNA, Cancer, Population


Papers
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Journal ArticleDOI
TL;DR: Advances in algorithm and software design result in image processing times that are tenfold to several thousand fold faster than with previous methods, and microscopy datasets are processed orders-of-magnitude faster with improved algorithms and deep learning.
Abstract: The contrast and resolution of images obtained with optical microscopes can be improved by deconvolution and computational fusion of multiple views of the same sample, but these methods are computationally expensive for large datasets Here we describe theoretical and practical advances in algorithm and software design that result in image processing times that are tenfold to several thousand fold faster than with previous methods First, we show that an ‘unmatched back projector’ accelerates deconvolution relative to the classic Richardson–Lucy algorithm by at least tenfold Second, three-dimensional image-based registration with a graphics processing unit enhances processing speed 10- to 100-fold over CPU processing Third, deep learning can provide further acceleration, particularly for deconvolution with spatially varying point spread functions We illustrate our methods from the subcellular to millimeter spatial scale on diverse samples, including single cells, embryos and cleared tissue Finally, we show performance enhancement on recently developed microscopes that have improved spatial resolution, including dual-view cleared-tissue light-sheet microscopes and reflective lattice light-sheet microscopes Microscopy datasets are processed orders-of-magnitude faster with improved algorithms and deep learning

99 citations

Journal ArticleDOI
TL;DR: The group with Down's syndrome had a higher prevalence of low mood, restlessness/excessive overactivity, disturbed sleep, being excessively uncooperative and auditory hallucinations, which occurred with greater frequency in those subjects with intellectual disability of other causes.
Abstract: Dementia commonly occurs in elderly people with intellectual disability, especially those with Down's syndrome. The non-cognitive symptoms of dementia can be of greater significance to individuals and carers than the cognitive changes caused by this condition. It is not known whether there are differences between people with Down's syndrome and those with intellectual disability of other causes with regard to the prevalence of such symptoms. The present study was undertaken to draw a comparison between a group with Down's syndrome and dementia (n = 19), and a group with intellectual disability of other causes and dementia (n = 26). Maladaptive behaviours and psychiatric symptomatology were assessed in both groups. The group with Down's syndrome had a higher prevalence of low mood, restlessness/excessive overactivity, disturbed sleep, being excessively uncooperative and auditory hallucinations. Aggression occurred with greater frequency in those subjects with intellectual disability of other causes. These findings are of epidemiological importance in terms of service planning and understanding psychiatric presentation.

99 citations

Journal ArticleDOI
TL;DR: Dyskerin gene silencing in the MCF‐7 human breast carcinoma cell line reduced telomerase activity and rRNA pseudo‐uridylation, and patients with low dyskerin expression were characterized by a better clinical outcome than those with a high Dyskerin level.
Abstract: Dyskerin is a nucleolar protein, altered in dyskeratosis congenita, which carries out two separate functions, both fundamental for proliferating cells. One function is the pseudo-uridylation of ribosomal RNA (rRNA) molecules, necessary for their processing, and the other is the stabilization of the telomerase RNA component, necessary for telomerase activity. A significant feature of dyskeratosis congenita is an increased susceptibility to cancer; so far, however, no data have been reported on dyskerin changes in human tumours. Therefore, in this study, the distribution of dyskerin in a large series of human tumours from the lung, breast, and colon, as well as from B-cell lymphomas, was analysed by immunohistochemistry. Dyskerin proved never to be lost or delocalized outside the nucleolus. A quantitative analysis of dyskerin mRNA expression was then performed in 70 breast carcinomas together with the evaluation of telomerase RNA component levels and rRNA pseudo-uridylation. Dyskerin mRNA levels were highly variable and directly associated with both telomerase RNA component levels and rRNA pseudo-uridylation. Dyskerin gene silencing in the MCF-7 human breast carcinoma cell line reduced telomerase activity and rRNA pseudo-uridylation. Significantly, patients with low dyskerin expression were characterized by a better clinical outcome than those with a high dyskerin level. These data indicate that dyskerin is not lost in human cancers and that the levels of its expression and function are associated with tumour progression.

99 citations

Journal ArticleDOI
15 Mar 1990-Blood
TL;DR: Serial cytogenetic studies of patients with chronic myelogenous leukemia after T cell-depleted allogeneic bone marrow transplantation can provide useful information regarding the biologic and clinical behavior of CML.

99 citations

Journal ArticleDOI
TL;DR: The identification and characterization of the PCE1 gene encoding the capping enzyme from Schizosaccharomyces pombe is described and a shared structural basis for covalent catalysis in nucleotidyl transfer is illuminated, suggesting a common evolutionary origin for capping enzymes and ligases.
Abstract: Formation of the 5' cap structure of eukaryotic mRNAs occurs via transfer of GMP from GTP to the 5' terminus of the primary transcript. RNA guanylyltransferase, the enzyme that catalyzes this reaction, has been isolated from many viral and cellular sources. Though differing in molecular weight and subunit structure, the various guanylyltransferases employ a common catalytic mechanism involving a covalent enzyme-(Lys-GMP) intermediate. Saccharomyces cerevisiae CEG1 is the sole example of a cellular capping enzyme gene. In this report, we describe the identification and characterization of the PCE1 gene encoding the capping enzyme from Schizosaccharomyces pombe. PCE1 was isolated from a cDNA library by functional complementation in Sa. cerevisiae. Induced expression of PCE1 in bacteria and in yeast confirmed that the 47-kDa Sc. pombe protein was enzymatically active. The amino acid sequence of PCE1 is 38% identical (152 of 402 residues) to the 52-kDa capping enzyme from Sa. cerevisiae. Comparison of the two cellular capping enzymes with guanylyltransferases encoded by DNA viruses revealed local sequence similarity at the enzyme's active site and at four additional collinear motifs. Mutational analysis of yeast CEG1 demonstrated that four of the five conserved motifs are essential for capping enzyme function in vivo. Remarkably, the same motifs are conserved in the polynucleotide ligase family of enzymes that employ an enzyme-(Lys-AMP) intermediate. These findings illuminate a shared structural basis for covalent catalysis in nucleotidyl transfer and suggest a common evolutionary origin for capping enzymes and ligases.

98 citations


Authors

Showing all 6853 results

NameH-indexPapersCitations
Joan Massagué189408149951
Chris Sander178713233287
Timothy A. Springer167669122421
Murray F. Brennan16192597087
Charles M. Rice15456183812
Lloyd J. Old152775101377
Howard I. Scher151944101737
Paul Tempst14830989225
Pier Paolo Pandolfi14652988334
Barton F. Haynes14491179014
Jedd D. Wolchok140713123336
James P. Allison13748383336
Harold E. Varmus13749676320
Scott W. Lowe13439689376
David S. Klimstra13356461682
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20238
202216
2021211
2020234
2019204
2018225