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Institution

University of Arkansas for Medical Sciences

EducationLittle Rock, Arkansas, United States
About: University of Arkansas for Medical Sciences is a education organization based out in Little Rock, Arkansas, United States. It is known for research contribution in the topics: Population & Health care. The organization has 14077 authors who have published 26012 publications receiving 973592 citations. The organization is also known as: UAMS.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors used pharmacological and genetic approaches to demonstrate that canonical Wnt signaling stimulates osteoblastogenesis and inhibits adipogenesis of bipotential mesenchymal precursors.
Abstract: Wnts comprise a family of secreted signaling proteins that regulate diverse developmental processes. Activation of Wnt signaling by Wnt10b inhibits differentiation of preadipocytes and blocks adipose tissue development; however, the effect of Wnt10b on other mesenchymal lineages has not been defined. To explore the physiological role of Wnt signaling in bone development, we analyzed FABP4-Wnt10b mice, which express the Wnt10b transgene in marrow. Femurs from FABP4-Wnt10b mice have almost four times as much bone in the distal metaphyses and are mechanically stronger. These mice maintain elevated bone mass at least through 23 months of age. In addition, FABP4-Wnt10b mice are protected from the bone loss characteristic of estrogen deficiency. We used pharmacological and genetic approaches to demonstrate that canonical Wnt signaling stimulates osteoblastogenesis and inhibits adipogenesis of bipotential mesenchymal precursors. Wnt10b shifts cell fate toward the osteoblast lineage by induction of the osteoblastogenic transcription factors Runx2, Dlx5, and osterix and suppression of the adipogenic transcription factors C/EBPα and PPARγ. One mechanism whereby Wnt10b promotes osteoblastogenesis is suppression of PPARγ expression. Finally, Wnt10b-/- mice have decreased trabecular bone and serum osteocalcin, confirming that Wnt10b is an endogenous regulator of bone formation.

754 citations

Book ChapterDOI
TL;DR: The mechanism occurs by a complex sequence of events including: (1) CYP metabolism to a reactive metabolite which depletes glutathione and covalently binds to proteins; (2) loss of glutathion with an increased formation of reactive oxygen and nitrogen species in hepatocytes undergoing necrotic changes; (3) increased oxidative stress, associated with alterations in calcium homeostasis and initiation of signal transduction responses, causing mitochondrial permeability transition; (4) mitochondrial membrane potential, and loss of the ability of the mitochondria to synthesize ATP; and
Abstract: Although considered safe at therapeutic doses, at higher doses, acetaminophen produces a centrilobular hepatic necrosis that can be fatal. Acetaminophen poisoning accounts for approximately one-half of all cases of acute liver failure in the United States and Great Britain today. The mechanism occurs by a complex sequence of events. These events include: (1) CYP metabolism to a reactive metabolite which depletes glutathione and covalently binds to proteins; (2) loss of glutathione with an increased formation of reactive oxygen and nitrogen species in hepatocytes undergoing necrotic changes; (3) increased oxidative stress, associated with alterations in calcium homeostasis and initiation of signal transduction responses, causing mitochondrial permeability transition; (4) mitochondrial permeability transition occurring with additional oxidative stress, loss of mitochondrial membrane potential, and loss of the ability of the mitochondria to synthesize ATP; and (5) loss of ATP which leads to necrosis. Associated with these essential events there appear to be a number of inflammatory mediators such as certain cytokines and chemokines that can modify the toxicity. Some have been shown to alter oxidative stress, but the relationship of these modulators to other critical mechanistic events has not been well delineated. In addition, existing data support the involvement of cytokines, chemokines, and growth factors in the initiation of regenerative processes leading to the reestablishment of hepatic structure and function.

754 citations

Journal ArticleDOI
Leming Shi1, Gregory Campbell1, Wendell D. Jones, Fabien Campagne2  +198 moreInstitutions (55)
TL;DR: P predictive models for classifying a sample with respect to one of 13 endpoints indicative of lung or liver toxicity in rodents, or of breast cancer, multiple myeloma or neuroblastoma in humans are generated.
Abstract: Gene expression data from microarrays are being applied to predict preclinical and clinical endpoints, but the reliability of these predictions has not been established. In the MAQC-II project, 36 independent teams analyzed six microarray data sets to generate predictive models for classifying a sample with respect to one of 13 endpoints indicative of lung or liver toxicity in rodents, or of breast cancer, multiple myeloma or neuroblastoma in humans. In total, >30,000 models were built using many combinations of analytical methods. The teams generated predictive models without knowing the biological meaning of some of the endpoints and, to mimic clinical reality, tested the models on data that had not been used for training. We found that model performance depended largely on the endpoint and team proficiency and that different approaches generated models of similar performance. The conclusions and recommendations from MAQC-II should be useful for regulatory agencies, study committees and independent investigators that evaluate methods for global gene expression analysis.

753 citations

Journal ArticleDOI
Paul A. Northcott1, Paul A. Northcott2, David Shih1, John Peacock1, Livia Garzia1, A. Sorana Morrissy1, Thomas Zichner, Adrian M. Stütz, Andrey Korshunov2, Jüri Reimand1, Steven E. Schumacher3, Rameen Beroukhim4, Rameen Beroukhim3, David W. Ellison, Christian R. Marshall1, Anath C. Lionel1, Stephen C. Mack1, Adrian M. Dubuc1, Yuan Yao1, Vijay Ramaswamy1, Betty Luu1, Adi Rolider1, Florence M.G. Cavalli1, Xin Wang1, Marc Remke1, Xiaochong Wu1, Readman Chiu5, Andy Chu5, Eric Chuah5, Richard Corbett5, Gemma Hoad5, Shaun D. Jackman5, Yisu Li5, Allan Lo5, Karen Mungall5, Ka Ming Nip5, Jenny Q. Qian5, Anthony Raymond5, Nina Thiessen5, Richard Varhol5, Inanc Birol5, Richard A. Moore5, Andrew J. Mungall5, Robert A. Holt5, Daisuke Kawauchi, Martine F. Roussel, Marcel Kool2, David T.W. Jones2, Hendrick Witt6, Africa Fernandez-L7, Anna Kenney8, Robert J. Wechsler-Reya9, Peter B. Dirks1, Tzvi Aviv1, Wiesława Grajkowska, Marta Perek-Polnik, Christine Haberler10, Olivier Delattre11, Stéphanie Reynaud11, François Doz11, Sarah S. Pernet-Fattet12, Byung Kyu Cho13, Seung-Ki Kim13, Kyu-Chang Wang13, Wolfram Scheurlen, Charles G. Eberhart14, Michelle Fèvre-Montange15, Anne Jouvet15, Ian F. Pollack16, Xing Fan17, Karin M. Muraszko17, G. Yancey Gillespie18, Concezio Di Rocco19, Luca Massimi19, Erna M.C. Michiels20, Nanne K. Kloosterhof20, Pim J. French20, Johan M. Kros20, James M. Olson21, Richard G. Ellenbogen22, Karel Zitterbart23, Leos Kren23, Reid C. Thompson8, Michael K. Cooper8, Boleslaw Lach24, Boleslaw Lach25, Roger E. McLendon26, Darell D. Bigner26, Adam M. Fontebasso27, Steffen Albrecht27, Steffen Albrecht28, Nada Jabado27, Janet C. Lindsey29, Simon Bailey29, Nalin Gupta30, William A. Weiss30, László Bognár31, Almos Klekner31, Timothy E. Van Meter, Toshihiro Kumabe32, Teiji Tominaga32, Samer K. Elbabaa33, Jeffrey R. Leonard34, Joshua B. Rubin34, Linda M. Liau35, Erwin G. Van Meir36, Maryam Fouladi37, Hideo Nakamura38, Giuseppe Cinalli, Miklós Garami39, Peter Hauser39, Ali G. Saad40, Achille Iolascon41, Shin Jung42, Carlos Gilberto Carlotti43, Rajeev Vibhakar44, Young Shin Ra45, Shenandoah Robinson, Massimo Zollo41, Claudia C. Faria1, Jennifer A. Chan46, Michael J. Levy21, Poul H. Sorensen5, Matthew Meyerson3, Scott L. Pomeroy3, Yoon Jae Cho47, Gary D. Bader1, Uri Tabori1, Cynthia Hawkins1, Eric Bouffet1, Stephen W. Scherer1, James T. Rutka1, David Malkin1, Steven C. Clifford29, Steven J.M. Jones5, Jan O. Korbel, Stefan M. Pfister6, Stefan M. Pfister2, Marco A. Marra5, Michael D. Taylor1 
02 Aug 2012-Nature
TL;DR: Somatic copy number aberrations (SCNAs) in 1,087 unique medulloblastomas are reported, including recurrent events targeting TGF-β signalling in Group 3, and NF-κB signalling in Groups 4, which suggest future avenues for rational, targeted therapy.
Abstract: Medulloblastoma, the most common malignant paediatric brain tumour, is currently treated with nonspecific cytotoxic therapies including surgery, whole-brain radiation, and aggressive chemotherapy. As medulloblastoma exhibits marked intertumoural heterogeneity, with at least four distinct molecular variants, previous attempts to identify targets for therapy have been underpowered because of small samples sizes. Here we report somatic copy number aberrations (SCNAs) in 1,087 unique medulloblastomas. SCNAs are common in medulloblastoma, and are predominantly subgroup-enriched. The most common region of focal copy number gain is a tandem duplication of SNCAIP, a gene associated with Parkinson's disease, which is exquisitely restricted to Group 4α. Recurrent translocations of PVT1, including PVT1-MYC and PVT1-NDRG1, that arise through chromothripsis are restricted to Group 3. Numerous targetable SCNAs, including recurrent events targeting TGF-β signalling in Group 3, and NF-κB signalling in Group 4, suggest future avenues for rational, targeted therapy.

749 citations

Journal ArticleDOI
TL;DR: The POPC and PCPC scales are apparently reliable and valid tools for assessing the outcome of pediatric intensive care.

748 citations


Authors

Showing all 14187 results

NameH-indexPapersCitations
Hagop M. Kantarjian2043708210208
Yusuke Nakamura1792076160313
Kenneth C. Anderson1781138126072
David R. Williams1782034138789
Yang Yang1712644153049
John E. Morley154137797021
Jeffrey L. Cummings148833116067
Hugh A. Sampson14781676492
Michael J. Keating140116976353
Kristine Yaffe13679472250
Nancy J. Cox135778109195
Stephen W. Scherer13568585752
Nikhil C. Munshi13490667349
Siamon Gordon13142077948
Jian-Guo Bian128121980964
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202332
2022156
20211,609
20201,410
20191,214
20181,251