Results 121 to 130 of about 3,917,874 (426)

Ion channel function of polycystin‐2/polycystin‐1 heteromer revealed by structure‐guided mutagenesis

FEBS Letters, EarlyView.
Mutations in polycystin‐1 (PC1) or polycystin‐2 (PC2) cause autosomal‐dominant polycystic kidney disease (ADPKD). We generated a novel gain‐of‐function PC2/PC1 heteromeric ion channel by mutating pore‐blocking residues. Moreover, we demonstrated that PC2 will preferentially assemble with PC1 to form heteromeric complexes when PC1 is co‐expressed ...
Tobias Staudner, Juthamas Khamseekaew, M. Gregor Madej, Linda Geiges, Bardha Azemi, Christine Ziegler, Christoph Korbmacher, Alexandr V. Ilyaskin   +7 more
wiley   +1 more source

Multidimensional Genetic Analysis of Repeated Seizures in the Hybrid Mouse Diversity Panel Reveals a Novel Epileptogenesis Susceptibility Locus

G3: Genes, Genomes, Genetics, 2017
Epilepsy has many causes and comorbidities affecting as many as 4% of people in their lifetime. Both idiopathic and symptomatic epilepsies are highly heritable, but genetic factors are difficult to characterize among humans due to complex disease ...
Russell J. Ferland, Jason Smith, Dominick Papandrea, Jessica Gracias, Leah Hains, Sridhar B. Kadiyala, Brittany O’Brien, Eun Yong Kang, Barbara S. Beyer, Bruce J. Herron   +9 more
doaj   +1 more source

Applying Genetic Algorithm for Prioritization of Test Case Scenarios Derived from UML Diagrams [PDF]

arXiv, 2014
Software testing involves identifying the test cases whichdiscover errors in the program. However, exhaustive testing ofsoftware is very time consuming. In this paper, a technique isproposed to prioritize test case scenarios by identifying the critical path clusters using genetic algorithm.
arxiv  

Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression [PDF]

arXiv, 2023
This paper examines various methods of computing uncertainty and diversity for active learning in genetic programming. We found that the model population in genetic programming can be exploited to select informative training data points by using a model ensemble combined with an uncertainty metric. We explored several uncertainty metrics and found that
arxiv  

Dissecting the sharp response of a canonical developmental enhancer reveals multiple sources of cooperativity. [PDF]

, 2019
Developmental enhancers integrate graded concentrations of transcription factors (TFs) to create sharp gene expression boundaries. Here we examine the hunchback P2 (HbP2) enhancer which drives a sharp expression pattern in the Drosophila blastoderm ...
Bragdon, Meghan Dj, Cha, Anna, DePace, Angela H, Estrada, Javier, Gunawardena, Jeremy, Johnson, Gemma, Park, Jeehae, Ricci-Tam, Chiara, Shulgina, Yekaterina, Vincent, Ben J, Wunderlich, Zeba   +10 more
core  

Tomato: a crop species amenable to improvement by cellular and molecular methods [PDF]

, 1989
Tomato is a crop plant with a relatively small DNA content per haploid genome and a well developed genetics. Plant regeneration from explants and protoplasts is feasable which led to the development of efficient transformation procedures.
A. Crossway, A. Guri, A. Hoekema, A. Kinshara, A. Morgan, A. Zelcer, A.H. Paterson, A.J. Framond De, A.L. Phillips, A.L. Phillips, A.R. Krol Van der, B. Baker, B. Baker, B. Hause, B. McClintock, B. Piechulla, B.A. Levenko, B.D. Harrison, B.L. Ward, B.P. Moens, B.R. Thomas, B.R. Thomas, B.S. Gill, B.S. Landry, B.S. Landry, B.S. Landry, C. Chang, C. Pieterse, C. Waldron, C.D. Riggs, C.E. Vallejos, C.E. Vallejos, C.J.S. Smith, C.M. Rick, C.M. Rick, C.M. Rick, C.M. Rick, C.M. Rick, C.M. Rick, C.M. Rick, C.M. Rick, C.M. Smith, C.P. Meredith, D. Boer De, D. Botstein, D. Shah, D. Zamir, D. Zamir, D. Zamir, D.A. Evans, D.A. Evans, D.M. Barker, D.M. Lonsdale, D.P. Barlow, D.W. Barton, D.W. Galbraith, E. Haute Van, E. Pichersky, E.A. Frankenberger, E.A. Frankenberger, E.A. Shahin, E.A. Shahin, E.C. Tigchelaar, F.J. Zapata, G. Gavazzi, G. Melchers, G. Schweizer, G.S. Khush, G.S. Khush, H.P. Mühlbach, I. Negrutiu, I.M. Greenblat, J. Botterman, J. Haseloff, J. Hille, J. Hille, J. Paszkowski, J. Phillips, J. Wijbrandi, J.D. Palmer, J.D. Palmer, J.D. Palmer, J.D. Palmer, J.F. Gusella, J.F. Gusella, J.F. Shepard, J.G. Atherton, J.H. Hawkes, J.I. Yoder, J.J. Fillatti, J.L. Bennetzen, J.M. van Montagu Schell, J.S. Beckmann, J.S. Beckmann, J.W. Maxon-Smith, J.W. Verna De, Jacoues Hille, K. Ohyama, K. Shinozaki, K. Umesono, K.A. Darden, K.K. Kartha, L. Herrera-Estrella, L. Herrera-Estrella, L. Marton, L.A. Miki, L.P. Hosticka, L.W. Handley, M. Block De, M. Buiatti, M. Buiatti, M. Cuozzo, M. Jongsma, M. Koornneef, M. Koornneef, M. Mutschler, M. S. Ramanna, M. Sibi, M. Soller, M. Vaeek, M. Wallroth, M. Ziv, M.A. O'Connell, M.A. O'Connell, M.A. O'Connell, M.A. O'Connell, M.A. Sluys Van, M.A. Stevens, M.A. Stevens, M.D. Bennett, M.L.M.C. Tan, M.L.M.C. Tan, M.R. Hanson, M.S. Ramanna, M.S. Ramanna, M.S. Ramanna, M.W. Bevan, M.W. Ganal, M.Y. Menzel, Maarten Koornneef, N.A. Zagorska, N.D. Young, N.D. Young, N.E. Tumer, N.V. Federoff, P. Little, P. Zambryski, P.E. McClean, P.F. Ambros, P.G. Smith, P.J.M. Elzen Van den, P.J.M. Elzen Van den, P.M. Gresshoff, Pim Zabel, R. Bernatzky, R. Bernatzky, R. Ecochard, R. Hain, R. Niedz, R.A. Bressan, R.A.J. Daelen Van, R.B. Flavell, R.B. Horsch, R.D. Locky, R.D. Shillito, R.S. Nelson, R.T. Fraley, S. Dellaporta, S. McCormick, S. Ohki, S.D. Tanksley, S.D. Tanksley, S.D. Tanksley, S.D. Tanksley, S.D. Tanksley, S.D. Tanksley, St.G. Rogers, T. Helentjaris, T. Helentjaris, T. Helentjaris, T.C. Osborn, T.L. Adams, T.M. Klein, U. Wienand, V. Padmanabhan, V.A. Hilder, W. Gottschalk, W. Gruissem, W.L. Gerlach, W.R. Sharp, Y.S. Chyi, Z. Koukolikova-Nicola, Z. Tabaeizadeh   +192 more
core   +3 more sources

Decoding the dual role of autophagy in cancer through transcriptional and epigenetic regulation

FEBS Letters, EarlyView.
Transcriptional and epigenetic regulation controls autophagy, which exerts context‐dependent effects on cancer: Autophagy suppresses tumorigenesis by maintaining cellular homeostasis or promotes tumor progression by supporting survival under stress. In this “In a Nutshell” article, we explore the intricate mechanisms of the dual function of autophagy ...
Young Suk Yu, Ik Soo Kim, Sung Hee Baek
wiley   +1 more source

Stochastic synchronization of genetic oscillators induced by miRNA [PDF]

arXiv, 2014
We study two important roles of miRNA as stress inducer and synchronizing agent in regulating diffusively coupled genetic oscillators within stochastic formalism and competition between them. We identify optimal value of coupling constant at which the rate of synchronization is strongest, below this value sychronizing activity dominates stress activity,
arxiv  

Binding of transcriptional activators to sigma 54 in the presence of the transition state analog ADP-aluminum fluoride: insights into activator mechanochemical action.

Genes & Development, 2001
Conformational changes in sigma 54 (sigma(54)) and sigma(54)-holoenzyme depend on nucleotide hydrolysis by an activator. We now show that sigma(54) and its holoenzyme bind to the central ATP-hydrolyzing domains of the transcriptional activators PspF and ...
M. Chaney, Ricardo Grande, S. Wigneshweraraj, W. Cannon, P. Casaz, María-Trinidad Gallegos, J. Schumacher, Susan Jones, Sarah Elderkin, A. E. Dago, Enrique Morett, M. Buck   +11 more
semanticscholar   +1 more source

Identification of a novel regulatory mechanism for the disease associated protein, uPAR [PDF]

, 2014
Expression quantitative trait loci (eQTLs), as determined through a series of statistical association studies collectively known as genome-wide association (GWA) studies, have provided us with a hypothesis free approach for the investigation into ...
Hall, Ian P., Portelli, Michael A., Sayers, Ian   +2 more
core