Channel:  Francis Crick Institute

1,177 Articles

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An Integrative Analysis of the Age-Associated Genomic, Transcriptomic and Epigenetic Landscape across Cancers
Chatsirisupachai, K., Lesluyes, T., Paraoan, L., Van Loo, P., de Magalhaes, J. P.
10.1101/2020.08.25.266403 — Posted: 2020-08-25
An optogenetic method for interrogating YAP1 and TAZ nuclear-cytoplasmic shuttling
Dowbaj, A. M., Jenkins, R. P., Heddleston, J. M., Ciccarelli, A., Fallesen, T., Hahn, K., Montagner, M., Sahai, E. M.
10.1101/2020.06.08.140228 — Posted: 2020-08-24
MRE11 is crucial for malaria transmission and its absence affects expression of interconnected networks of key genes essential for life
Guttery, D., Ramaprasad, A., Ferguson, D., Zeeshan, M., Pandey, R., Brady, D., Holder, A. A., Pain, A., Tewari, R.
10.1101/2020.08.24.258657 — Posted: 2020-08-24
Active Perception during Angiogenesis: Filopodia speed up Notch selection of tip cells in silico and in vivo
Zakirov, B., Charalambous, G., Aspalter, I. M., Van-Vuuren, K., Mead, T., Harrington, K., Thuret, R., Ravasz Regan, E., Herbert, S. P., Bentley, K.
10.1101/2020.08.22.261263 — Posted: 2020-08-23
T-bet fate mapping identifies a novel ILC1-ILC2 subset in vivo
SCHROEDER, J.-H., Garrido-Mesa, N., Zabinski, T., Gallagher, A., Campbell, L., Roberts, L., Stolarczyk, E., Beattie, G., Lo, J., Iseppon, A., Moreira Heliodoro, C., Reis, R., Jenner, R., Lavender, P., Howard, J., Grencis, R., Helmby, H., Neves, J., Lord, G.
10.1101/2020.08.21.261073 — Posted: 2020-08-22
Amino acids whose intracellular levels change most during aging alter chronological lifespan of fission yeast
Rallis, C., Mulleder, M., Smith, G., Au, Y. Z., Ralser, M., Bahler, J.
10.1101/2020.08.18.256164 — Posted: 2020-08-19
Automated and unbiased classification of motor neuron phenotypes with single cell resolution in ALS tissue.
Hagemann, C., Tyzack, G. E., Taha, D. M., Devine, H., Greensmith, L., Newcombe, J., Patani, R., Serio, A., Luisier, R.
10.1101/2020.08.17.253773 — Posted: 2020-08-18
ZeroCostDL4Mic: an open platform to use Deep-Learning in Microscopy
Chamier, L. v., Laine, R. F., Jukkala, J., Spahn, C., Krentzel, D., Nehme, E., Lerche, M., Hernandez-perez, S., Mattila, P., Karinou, E., Holden, S., Can Solak, A., Krull, A., Buchholz, T.-O., Jones, M. L., Royer, L. A., Leterrier, C., Shechtman, Y., Jug, F., Heilemann, M., Jacquemet, G., Henriques, R.
10.1101/2020.03.20.000133 — Posted: 2020-08-17
Utilizing Computational Machine Learning Tools to Understand Immunogenic Breadth in the Context of a CD8 T-Cell Mediated HIV Response
McGowan, E., Rosenthal, R., Fiore-Gartland, A., Macharia, G., Balinda, S., Kapaata, A., Muok, E., Umviligihozo, G., Dalel, J., Streatfield, C., Coutinho, H., Monaco, D., Morrison, D., Yue, L., Hunter, E., Nielsen, M., Gilmour, J., Hare, J.
10.1101/2020.08.15.250589 — Posted: 2020-08-17
Cisplatin is more mutagenic than carboplatin or oxaliplatin at equitoxic concentrations
Szikriszt, B., Poti, A., Nemeth, E., Kanu, N., Swanton, C., Szuts, D.
10.1101/2020.08.11.245969 — Posted: 2020-08-12

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