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Institution

University of Texas Health Science Center at Houston

EducationHouston, Texas, United States
About: University of Texas Health Science Center at Houston is a education organization based out in Houston, Texas, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 27309 authors who have published 42520 publications receiving 2151596 citations. The organization is also known as: UTHealth & The UT Health Science Center at Houston.


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Journal ArticleDOI
TL;DR: It is suggested that behavioral stopping is implemented via synchronized activity in the beta frequency band in a right IFG/basal ganglia network, with downstream effects on M1.
Abstract: Inappropriate response tendencies may be stopped via a specific fronto/basal ganglia/primary motor cortical network. We sought to characterize the functional role of two regions in this putative stopping network, the right inferior frontal gyrus (IFG) and the primary motor cortex (M1), using electocorticography from subdural electrodes in four patients while they performed a stop-signal task. On each trial, a motor response was initiated, and on a minority of trials a stop signal instructed the patient to try to stop the response. For each patient, there was a greater right IFG response in the beta frequency band ( approximately 16 Hz) for successful versus unsuccessful stop trials. This finding adds to evidence for a functional network for stopping because changes in beta frequency activity have also been observed in the basal ganglia in association with behavioral stopping. In addition, the right IFG response occurred 100-250 ms after the stop signal, a time range consistent with a putative inhibitory control process rather than with stop-signal processing or feedback regarding success. A downstream target of inhibitory control is M1. In each patient, there was alpha/beta band desynchronization in M1 for stop trials. However, the degree of desynchronization in M1 was less for successfully than unsuccessfully stopped trials. This reduced desynchronization on successful stop trials could relate to increased GABA inhibition in M1. Together with other findings, the results suggest that behavioral stopping is implemented via synchronized activity in the beta frequency band in a right IFG/basal ganglia network, with downstream effects on M1.

430 citations

Journal ArticleDOI
Betsy A. Read1, Jessica Kegel2, Mary J. Klute3, Alan Kuo4, Stephane C. Lefebvre5, Florian Maumus6, Christoph Mayer7, John P. Miller8, Adam Monier9, Asaf Salamov4, Jeremy R. Young10, María Aguilar3, Jean-Michel Claverie11, Stephan Frickenhaus2, Karina Gonzalez12, Emily K. Herman3, Yao-Cheng Lin13, Johnathan A. Napier14, Hiroyuki Ogata11, Analissa F. Sarno1, Jeremy Shmutz4, Declan C. Schroeder, Colomban de Vargas15, Frédéric Verret16, Peter von Dassow17, Klaus Valentin2, Yves Van de Peer13, Glen L. Wheeler18, Joel B. Dacks3, Charles F. Delwiche8, Sonya T. Dyhrman19, Sonya T. Dyhrman20, Sonya T. Dyhrman2, Gernot Glöckner21, Uwe John2, Thomas A. Richards22, Alexandra Z. Worden9, Xiaoyu Zhang1, Igor V. Grigoriev23, Andrew E. Allen24, Kay D. Bidle11, Kay D. Bidle25, Mark Borodovsky11, Chris Bowler15, Colin Brownlee26, Colin Brownlee1, J. Mark Cock12, Marek Eliáš27, Vadim N. Gladyshev28, Marco Groth1, Chittibabu Guda, Ahmad R. Hadaegh29, M. D. Iglesias-Rodriguez30, Jerry Jenkins16, Bethan M. Jones31, Tracy Lawson32, Florian Leese33, Erika Lindquist34, Alexei Lobanov27, Alexandre Lomsadze25, Shehre-Banoo Malik35, Mary E. Marsh36, Luke C. M. Mackinder15, Thomas Mock11, Bernd Mueller-Roeber37, António Pagarete38, Micaela S. Parker39, Ian Probert11, Hadi Quesneville15, Christine A. Raines31, Stefan A. Rensing15, Stefan A. Rensing2, Diego Mauricio Riaño-Pachón40, Sophie Richier40, Sophie Richier41, Sebastian D. Rokitta42, Yoshihiro Shiraiwa43, Darren M. Soanes42, Mark van der Giezen39, Thomas M. Wahlund41, Bryony A. P. Williams44, Willie Wilson43, Gordon Wolfe41, Louie L. Wurch42, Louie L. Wurch40 
11 Jul 2013-Nature
TL;DR: Comparisons across strains demonstrate that E. huxleyi, which has long been considered a single species, harbours extensive genome variability reflected in different metabolic repertoires, and reveals a pan genome (core genes plus genes distributed variably between strains) probably supported by an atypical complement of repetitive sequence in the genome.
Abstract: Coccolithophores have influenced the global climate for over 200 million years(1). These marine phytoplankton can account for 20 per cent of total carbon fixation in some systems(2). They form blooms that can occupy hundreds of thousands of square kilometres and are distinguished by their elegantly sculpted calcium carbonate exoskeletons (coccoliths), rendering them visible from space(3). Although coccolithophores export carbon in the form of organic matter and calcite to the sea floor, they also release CO2 in the calcification process. Hence, they have a complex influence on the carbon cycle, driving either CO2 production or uptake, sequestration and export to the deep ocean(4). Here we report the first haptophyte reference genome, from the coccolithophore Emiliania huxleyi strain CCMP1516, and sequences from 13 additional isolates. Our analyses reveal a pan genome (core genes plus genes distributed variably between strains) probably supported by an atypical complement of repetitive sequence in the genome. Comparisons across strains demonstrate that E. huxleyi, which has long been considered a single species, harbours extensive genome variability reflected in different metabolic repertoires. Genome variability within this species complex seems to underpin its capacity both to thrive in habitats ranging from the equator to the subarctic and to form large-scale episodic blooms under a wide variety of environmental conditions.

430 citations

Journal ArticleDOI
TL;DR: It is demonstrated that progression of colon primary tumors to liver metastases correlates with increased pp60c-src kinase activity and protein level.
Abstract: Activation of the tyrosine kinase of the c-src gene product, pp60c-src, has been shown to occur in nearly every primary colorectal carcinoma, and is found as early as in polyps of high malignant potential. However, no studies have addressed potential pp60c-src changes which occur during progression. To examine this question, we have studied kinase activity and protein levels in 7 colonic polyps, 19 primary lesions, and 19 liver metastases relative to normal colonic mucosa. Significant increases in tyrosine kinase activity were seen as early as in colonic polyps of high malignant potential. Further increases were observed in activity and level in primary tumors. However, the greatest increases in activity and protein levels were observed in liver metastases. Additionally, six metastatic lesions were obtained in which synchronous primary tumor was resected. In each of these liver metastases, pp60c-src activity and level were significantly increased relative to the corresponding primary tumor, as well as to normal colonic mucosa. Our results demonstrate that progression of colon primary tumors to liver metastases correlates with increased pp60c-src kinase activity and protein level.

429 citations

Journal ArticleDOI
Catherine A. Brownstein1, Alan H. Beggs1, Nils Homer, Barry Merriman2  +207 moreInstitutions (53)
TL;DR: The CLARITY Challenge provides a comprehensive assessment of current practices for using genome sequencing to diagnose and report genetic diseases and reveals a general convergence of practices on most elements of the analysis and interpretation process.
Abstract: Background There is tremendous potential for genome sequencing to improve clinical diagnosis and care once it becomes routinely accessible, but this will require formalizing research methods into clinical best practices in the areas of sequence data generation, analysis, interpretation and reporting. The CLARITY Challenge was designed to spur convergence in methods for diagnosing genetic disease starting from clinical case history and genome sequencing data. DNA samples were obtained from three families with heritable genetic disorders and genomic sequence data were donated by sequencing platform vendors. The challenge was to analyze and interpret these data with the goals of identifying disease-causing variants and reporting the findings in a clinically useful format. Participating contestant groups were solicited broadly, and an independent panel of judges evaluated their performance.

429 citations

Journal ArticleDOI
TL;DR: A systematic screening of FGFR3 to detect mutations in patients with hypochondroplasia is reported, with a singleFGFR3 mutation found in 8 out of 14 unrelated patients with HypochondroPLasia.
Abstract: Hypochondroplasia (MIM 146000) is an autosomal dominant skeletal dysplasia with skeletal features similar to but milder than those seen in achondroplasia. Within the past year, the achondroplasia locus has been mapped to 4p 16.3 (refs 5-7) and mutations in the fibroblast growth factor receptor 3 (FGFR3) gene have been identified in patients with the disorder. More than 95% of 242 cases reported so far are accounted for by a single Gly380Arg mutation. McKusick et al. proposed that achondroplasia and hypochondroplasia are allelic based on the similarities in phenotype between the two disorders and the identification of a severely dwarfed individual whose father had achondroplasia and whose mother had hypochondroplasia. There is also genetic linkage evidence that hypochondroplasia and achondroplasia map to the same locus. We therefore began a systematic screening of FGFR3 to detect mutations in patients with hypochondroplasia. We now report a single FGFR3 mutation found in 8 out of 14 unrelated patients with hypochondroplasia. This mutation causes a C to A transversion at nucleotide 1620, resulting in an Asn540Lys substitution in the proximal tyrosine kinase domain.

429 citations


Authors

Showing all 27450 results

NameH-indexPapersCitations
Paul M. Ridker2331242245097
Eugene Braunwald2301711264576
Eric N. Olson206814144586
Hagop M. Kantarjian2043708210208
André G. Uitterlinden1991229156747
Gordon B. Mills1871273186451
Eric Boerwinkle1831321170971
Bruce M. Psaty1811205138244
Aaron R. Folsom1811118134044
Daniel R. Weinberger177879128450
Bharat B. Aggarwal175706116213
Richard A. Gibbs172889249708
Russel J. Reiter1691646121010
James F. Sallis169825144836
Steven N. Blair165879132929
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202342
2022231
20213,048
20202,807
20192,467
20182,224