Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Daniel R Kick"'
Autor:
Daniel R Kick, Jason G Wallace, James C Schnable, Judith M Kolkman, Barış Alaca, Timothy M Beissinger, Jode Edwards, David Ertl, Sherry Flint-Garcia, Joseph L Gage, Candice N Hirsch, Joseph E Knoll, Natalia de Leon, Dayane C Lima, Danilo E Moreta, Maninder P Singh, Addie Thompson, Teclemariam Weldekidan, Jacob D Washburn
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 13, Iss 4 (2023)
AbstractAccurate prediction of the phenotypic outcomes produced by different combinations of genotypes, environments, and management interventions remains a key goal in biology with direct applications to agriculture, research, and conservation. The
Externí odkaz:
https://doaj.org/article/3157924c6afe4765a3f56d3119412958
Autor:
Daniel R Kick, David J Schulz
Publikováno v:
eLife, Vol 8 (2019)
A new genetically encoded system manipulates the pH inside cells to detect whether they are coupled to each other.
Externí odkaz:
https://doaj.org/article/80d626b321a84d14aab4c8df852d0424
Publikováno v:
eLife, Vol 7 (2018)
The Large Cell (LC) motor neurons of the crab cardiac ganglion have variable membrane conductance magnitudes even within the same individual, yet produce identical synchronized activity in the intact network. In a previous study we blocked a subset o
Externí odkaz:
https://doaj.org/article/d2899e0918194e01b9335ae19080d957
Autor:
Daniel R Kick, David J Schulz
Publikováno v:
eLife, Vol 7 (2018)
Experiments on neurons in the heart system of the leech reveal why rhythmic behaviors differ between individuals.
Externí odkaz:
https://doaj.org/article/125ef106587646d3a387c3d31283d923
Autor:
Daniel R. Kick, Jacob D. Washburn
Predicting phenotypes accurately from genomic, environment, and management factors is key to accelerating the development of novel cultivars with desirable traits. Inclusion of management and environmental factors enablesin silicostudies to predict t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca4f258eef78c04243f60d52f3ce2444
https://doi.org/10.1101/2023.03.30.532932
https://doi.org/10.1101/2023.03.30.532932
Autor:
Daniel R. Kick, Jason G. Wallace, James C. Schnable, Judith M. Kolkman, Barış Alaca, Timothy M. Beissinger, David Ertl, Sherry Flint-Garcia, Joseph L. Gage, Candice N. Hirsch, Joseph E. Knoll, Natalia de Leon, Dayane C. Lima, Danilo Moreta, Maninder P. Singh, Teclemariam Weldekidan, Jacob D. Washburn
Accurate prediction of the phenotypic outcomes produced by different combinations of genotypes, environments, and management interventions remains a key goal in biology with direct applications to agriculture, research, and conservation. The past dec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::479389d7a1bc782fe39bce31e77ffb56
https://doi.org/10.1101/2022.07.29.502051
https://doi.org/10.1101/2022.07.29.502051
Molecular profiling of single neurons of known identity in two ganglia from the crab Cancer borealis
Autor:
David J. Schulz, Eve Marder, Adam J. Northcutt, Joseph M. Santin, Adriane G Otopalik, Robert M Harris, Benjamin M. Goetz, Daniel R Kick, Hans A. Hofmann
Publikováno v:
Proceedings of the National Academy of Sciences. 116:26980-26990
Understanding circuit organization depends on identification of cell types. Recent advances in transcriptional profiling methods have enabled classification of cell types by their gene expression. While exceptionally powerful and high throughput, the
The crustacean cardiac ganglion (CG) network coordinates the rhythmic contractions of the heart muscle to control the circulation of blood. The network consists of 9 cells, 5 large motor cells (LC1-5) and 4 small endogenous pacemaker cells (SCs). We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eccc2238f40b5e5887354d676e595e4c
https://doi.org/10.1101/2021.10.21.464612
https://doi.org/10.1101/2021.10.21.464612
Autor:
Daniel R. Kick
Neural networks produce critical rhythmic behaviors throughout an animal's lifespan, despite growth, differing environments, and changes in physiological state. This requires networks which balance stability in their properties with the plasticity ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1556df6d228d2d982c04133be4f24c4
https://doi.org/10.32469/10355/85790
https://doi.org/10.32469/10355/85790
Autor:
Adam J, Northcutt, Daniel R, Kick, Adriane G, Otopalik, Benjamin M, Goetz, Rayna M, Harris, Joseph M, Santin, Hans A, Hofmann, Eve, Marder, David J, Schulz
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Significance Single-cell transcriptional profiling has become a widespread tool in cell identification, particularly in the nervous system, based on the notion that genomic information determines cell identity. However, many cell-type classification