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Institution

Wayne State University

EducationDetroit, Michigan, United States
About: Wayne State University is a education organization based out in Detroit, Michigan, United States. It is known for research contribution in the topics: Population & Cancer. The organization has 42801 authors who have published 82738 publications receiving 3083713 citations. The organization is also known as: WSU & Wayne University.


Papers
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Journal ArticleDOI
TL;DR: This proteomic protocol purifies and identifies palmitoylated proteins from complex protein extracts using multi-dimensional protein identification technology (MuDPIT), a high-throughput, tandem mass spectrometry (MS/MS)–based proteomic technology.
Abstract: This proteomic protocol purifies and identifies palmitoylated proteins (i.e., S-acylated proteins) from complex protein extracts. The method relies on an acyl-biotinyl exchange chemistry in which biotin moieties are substituted for the thioester-linked protein acyl-modifications through a sequence of three in vitro chemical steps: (i) blockade of free thiols with N-ethylmaleimide; (ii) cleavage of the Cys-palmitoyl thioester linkages with hydroxylamine; and (iii) labeling of thiols, newly exposed by the hydroxylamine, with biotin-HPDP (Biotin-HPDP-N-[6-(Biotinamido)hexyl]-3'-(2'-pyridyldithio)propionamide. The biotinylated proteins are then affinity-purified using streptavidin-agarose and identified by multi-dimensional protein identification technology (MuDPIT), a high-throughput, tandem mass spectrometry (MS/MS)-based proteomic technology. MuDPIT also affords a semi-quantitative analysis that may be used to assess the gross changes induced to the global palmitoylation profile by mutation or drugs. Typically, 2-3 weeks are required for this analysis.

374 citations

Journal ArticleDOI
TL;DR: It is demonstrated that TNSALP knock‐out mice are a good model for the infantile form of hypophosphatasia and compelling evidence for an important role for TNSalP in postnatal development and mineralization of the murine skeleton is provided.
Abstract: Hypophosphatasia is an inborn error of metabolism characterized by deficient activity of the tissue-nonspecific isoenzyme of alkaline phosphatase (TNSALP) and skeletal disease due to impaired mineralization of cartilage and bone matrix. We investigated two independently generated TNSALP gene knock-out mouse strains as potential models for hypophosphatasia. Homozygous mice (−/−) had < 1% of wild-type plasma TNSALP activity; heterozygotes had the predicted mean of ~50%. Phosphoethanolamine, inorganic pyrophosphate, and pyridoxal 5′-phosphate are putative natural substrates for TNSALP and all were increased endogenously in the knock-out mice. Skeletal disease first appeared radiographically at ~10 days of age and featured worsening rachitic changes, osteopenia, and fracture. Histologic studies revealed developmental arrest of chondrocyte differentiation in epiphyses and in growth plates with diminished or absent hypertrophic zones. Progressive osteoidosis from defective skeletal matrix mineralization was noted but not associated with features of secondary hyperparathyroidism. Plasma and urine calcium and phosphate levels were unremarkable. Our findings demonstrate that TNSALP knock-out mice are a good model for the infantile form of hypophosphatasia and provide compelling evidence for an important role for TNSALP in postnatal development and mineralization of the murine skeleton.

374 citations

Journal ArticleDOI
TL;DR: An in-depth analysis of different hardware platforms available for big data analytics and assesses the advantages and drawbacks of each of these platforms based on various metrics such as scalability, data I/O rate, fault tolerance, real-time processing, data size supported and iterative task support.
Abstract: The primary purpose of this paper is to provide an in-depth analysis of different platforms available for performing big data analytics. This paper surveys different hardware platforms available for big data analytics and assesses the advantages and drawbacks of each of these platforms based on various metrics such as scalability, data I/O rate, fault tolerance, real-time processing, data size supported and iterative task support. In addition to the hardware, a detailed description of the software frameworks used within each of these platforms is also discussed along with their strengths and drawbacks. Some of the critical characteristics described here can potentially aid the readers in making an informed decision about the right choice of platforms depending on their computational needs. Using a star ratings table, a rigorous qualitative comparison between different platforms is also discussed for each of the six characteristics that are critical for the algorithms of big data analytics. In order to provide more insights into the effectiveness of each of the platform in the context of big data analytics, specific implementation level details of the widely used k-means clustering algorithm on various platforms are also described in the form pseudocode.

373 citations

Journal ArticleDOI
TL;DR: In this article, the non-specific alkaline phosphatase (TNAP) gene is associated with defective skeletal mineralization in the mouse, and the mutant seizure phenotype can be rescued by the administration of pyridoxal and a semi-solid diet.
Abstract: In humans, deficiency of the tissue non-specific alkaline phosphatase (TNAP) gene is associated with defective skeletal mineralization. In contrast, mice lacking TNAP generated by homologous recombination using embryonic stem (ES) cells have normal skeletal development. However, at approximately two weeks after birth, homozygous mutant mice develop seizures which are subsequently fatal. Defective metabolism of pyridoxal 5'-phosphate (PLP), characterized by elevated serum PLP levels, results in reduced levels of the inhibitory neurotransmitter gamma-aminobutyric acid (GABA) in the brain. The mutant seizure phenotype can be rescued by the administration of pyridoxal and a semi-solid diet. Rescued animals subsequently develop defective dentition. This study reveals essential physiological functions of TNAP in the mouse.

373 citations

Journal Article
TL;DR: Iontophoretic application of selective D1 (SKF 38393) and D2 (quinpirole) DA receptor agonists was utilized to determine the extent to which each of these DA receptor subtypes is altered by repeated cocaine administration.
Abstract: The rewarding effects of cocaine are mediated primarily by the mesoaccumbens dopamine (DA) system, which projects from A10 DA cell bodies within the ventral tegmental area to the nucleus accumbens (NAc). This pathway is also intricately involved in the locomotor stimulating effect of cocaine and the progressive increases (sensitization) in this behavior observed after repeated administration of cocaine and other psychomotor stimulants. By using single-cell electrophysiological recording and microiontophoretic techniques, we demonstrated previously that repeated cocaine administration (10 mg/kg i.p., twice daily, 14 days) renders impulse-regulating somatodendritic A10 DA autoreceptors subsensitive, thereby increasing impulse flow within the mesoaccumbens DA system. In striking contrast, inhibitory responses of NAc neurons to iontophoretic DA were significantly increased in cocaine-treated rats tested 16 to 24 hr after the last cocaine injection. In the present study, iontophoretic application of selective D1 (SKF 38393) and D2 (quinpirole) DA receptor agonists was utilized to determine the extent to which each of these DA receptor subtypes is altered by repeated cocaine administration. After 2 weeks of twice daily cocaine (10 mg/kg i.p.) injections, significant increases in the inhibitory responses of NAc neurons to SKF 38393, but not quinpirole, were observed. In addition, this D1 receptor sensitization was still evident when animals were tested either 7 days or 1 month after the final cocaine injection. After 2 months of withdrawal from cocaine treatment, D1 receptor sensitivity in the NAc had returned to control levels.(ABSTRACT TRUNCATED AT 250 WORDS)

372 citations


Authors

Showing all 43073 results

NameH-indexPapersCitations
Robert Langer2812324326306
Eugene Braunwald2301711264576
Rakesh K. Jain2001467177727
Anil K. Jain1831016192151
Richard A. Gibbs172889249708
Bradley Cox1692150156200
Jun Wang1661093141621
David Altshuler162345201782
Elliott M. Antman161716179462
Jovan Milosevic1521433106802
Roberto Romero1511516108321
Kypros H. Nicolaides147130287091
John F. Hartwig14571466472
Charles Maguire142119795026
Mingshui Chen1411543125369
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202391
2022407
20213,537
20203,508
20193,011
20182,963