by Linda Anderegg, Michelle Im Hof Gut, Udo Hetzel, Elizabeth W. Howerth, Fabienne Leuthard, Kaisa Kyöstilä, Hannes Lohi, Louise Pettitt, Cathryn Mellersh, Katie M. Minor, James R. Mickelson, Kevin Batcher, Danika Bannasch, Vidhya Jagannathan, Tosso Leeb
Читать дальше...
by Qinwei Zhuang, Brandon Alexander Holt, Gabriel A. Kwong, Peng Qiu
Proteases are multifunctional, promiscuous enzymes that degrade proteins as well as peptides and drive important processes in health and disease. Current technology has enabled the construction of libraries of peptide substrates that detect protease activity, which provides valuable biological information. An ideal library would be orthogonal, such that each protease only hydrolyzes one unique substrate, however this is impractical due to off-target promiscuity (i.e.... Читать дальше...
by Sergio Picart-Armada, Steven J. Barrett, David R. Willé, Alexandre Perera-Lluna, Alex Gutteridge, Benoit H. Dessailly
Читать дальше...
by Sarah Anhala Cepeda-Humerez, Jakob Ruess, Gašper Tkačik
Across diverse biological systems—ranging from neural networks to intracellular signaling and genetic regulatory networks—the information about changes in the environment is frequently encoded in the full temporal dynamics of the network nodes. A pressing data-analysis challenge has thus been to efficiently estimate the amount of information that these dynamics convey from experimental data. Here we develop and evaluate decoding-based... Читать дальше...
by Rohith Palli, Mukta G. Palshikar, Juilee Thakar
Pathway analysis is widely used to gain mechanistic insights from high-throughput omics data. However, most existing methods do not consider signal integration represented by pathway topology, resulting in enrichment of convergent pathways when downstream genes are modulated. Incorporation of signal flow and integration in pathway analysis could rank the pathways based on modulation in key regulatory genes. This implementation can be facilitated... Читать дальше...
by Benjamin Parrell, Vikram Ramanarayanan, Srikantan Nagarajan, John Houde
Читать дальше...
by Alex X. Lu, Oren Z. Kraus, Sam Cooper, Alan M. Moses
Cellular microscopy images contain rich insights about biology. To extract this information, researchers use features, or measurements of the patterns of interest in the images. Here, we introduce a convolutional neural network (CNN) to automatically design features for fluorescence microscopy. We use a self-supervised method to learn feature representations of single cells in microscopy images without labelled training data. We train... Читать дальше...
by Allison L. Hicks, Nicole Wheeler, Leonor Sánchez-Busó, Jennifer L. Rakeman, Simon R. Harris, Yonatan H. Grad
Читать дальше...
by Maria de los Angeles Serrano, Bradley L. Demarest, Tarlynn Tone-Pah-Hote, Martin Tristani-Firouzi, H. Joseph Yost
Читать дальше...
by Yiqin Ma, Daniel J. McKay, Laura Buttitta
During terminal differentiation, most cells exit the cell cycle and enter into a prolonged or permanent G0 in which they are refractory to mitogenic signals. Entry into G0 is usually initiated through the repression of cell cycle gene expression by formation of a transcriptional repressor complex called dimerization partner (DP), retinoblastoma (RB)-like, E2F and MuvB (DREAM). However, when DREAM repressive function is compromised during terminal differentiation... Читать дальше...
by Naila Haq, Christoph Schmidt-Hieber, Fernando J. Sialana, Lorenza Ciani, Janosch P. Heller, Michelle Stewart, Liz Bentley, Sara Wells, Richard J. Rodenburg, Patrick M. Nolan, Elizabeth Forsythe, Michael C. Wu, Gert Lubec, P. Salinas, Michael Häusser, Philip L. Beales, Sofia Christou-Savina
Читать дальше...
Tongan international switched clubs mid-season and has enjoyed a new lease of life
| Foto Galeri: 04 Eylül 2019 / Günün Karikatürü / Emre ULAŞ 04 Eylül 2019 / Günün Karikatürü / Emre ULAŞ |