Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Allon Wagner"'
Autor:
Kevin Baßler, Wataru Fujii, Theodore S. Kapellos, Erika Dudkin, Nico Reusch, Ari Horne, Benedikt Reiz, Malte D. Luecken, Collins Osei-Sarpong, Stefanie Warnat-Herresthal, Lorenzo Bonaguro, Jonas Schulte-Schrepping, Allon Wagner, Patrick Günther, Carmen Pizarro, Tina Schreiber, Rainer Knoll, Lisa Holsten, Charlotte Kröger, Elena De Domenico, Matthias Becker, Kristian Händler, Christian T. Wohnhaas, Florian Baumgartner, Meike Köhler, Heidi Theis, Michael Kraut, Marc H. Wadsworth, Travis K. Hughes, Humberto J. Ferreira, Emily Hinkley, Ines H. Kaltheuner, Matthias Geyer, Christoph Thiele, Alex K. Shalek, Andreas Feißt, Daniel Thomas, Henning Dickten, Marc Beyer, Patrick Baum, Nir Yosef, Anna C. Aschenbrenner, Thomas Ulas, Jan Hasenauer, Fabian J. Theis, Dirk Skowasch, Joachim L. Schultze
Publikováno v:
Frontiers in Immunology, Vol 13 (2022)
Despite its high prevalence, the cellular and molecular mechanisms of chronic obstructive pulmonary disease (COPD) are far from being understood. Here, we determine disease-related changes in cellular and molecular compositions within the alveolar sp
Externí odkaz:
https://doaj.org/article/e0f1f3d9372546f1a11d2fa5f19b33eb
Autor:
Aviv Regev, Sarah A Teichmann, Eric S Lander, Ido Amit, Christophe Benoist, Ewan Birney, Bernd Bodenmiller, Peter Campbell, Piero Carninci, Menna Clatworthy, Hans Clevers, Bart Deplancke, Ian Dunham, James Eberwine, Roland Eils, Wolfgang Enard, Andrew Farmer, Lars Fugger, Berthold Göttgens, Nir Hacohen, Muzlifah Haniffa, Martin Hemberg, Seung Kim, Paul Klenerman, Arnold Kriegstein, Ed Lein, Sten Linnarsson, Emma Lundberg, Joakim Lundeberg, Partha Majumder, John C Marioni, Miriam Merad, Musa Mhlanga, Martijn Nawijn, Mihai Netea, Garry Nolan, Dana Pe'er, Anthony Phillipakis, Chris P Ponting, Stephen Quake, Wolf Reik, Orit Rozenblatt-Rosen, Joshua Sanes, Rahul Satija, Ton N Schumacher, Alex Shalek, Ehud Shapiro, Padmanee Sharma, Jay W Shin, Oliver Stegle, Michael Stratton, Michael J T Stubbington, Fabian J Theis, Matthias Uhlen, Alexander van Oudenaarden, Allon Wagner, Fiona Watt, Jonathan Weissman, Barbara Wold, Ramnik Xavier, Nir Yosef, Human Cell Atlas Meeting Participants
Publikováno v:
eLife, Vol 6 (2017)
The recent advent of methods for high-throughput single-cell molecular profiling has catalyzed a growing sense in the scientific community that the time is ripe to complete the 150-year-old effort to identify all cell types in the human body. The Hum
Externí odkaz:
https://doaj.org/article/f765a09444c745e089e255ad5929e151
Autor:
Uri Amit, David Kain, Allon Wagner, Avinash Sahu, Yael Nevo‐Caspi, Nir Gonen, Natali Molotski, Tal Konfino, Natalie Landa, Nili Naftali‐Shani, Galia Blum, Emmanuelle Merquiol, Danielle Karo‐Atar, Yariv Kanfi, Gidi Paret, Ariel Munitz, Haim Y. Cohen, Eytan Ruppin, Sridhar Hannenhalli, Jonathan Leor
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 6, Iss 5 (2017)
BackgroundThe immune system plays a pivotal role in myocardial homeostasis and response to injury. Interleukins‐4 and ‐13 are anti‐inflammatory type‐2 cytokines, signaling via the common interleukin‐13 receptor α1 chain and the type‐2 in
Externí odkaz:
https://doaj.org/article/87f0732ac3874443bb7acc9387bf1fb7
Publikováno v:
PLoS Computational Biology, Vol 12, Iss 9, p e1005125 (2016)
Altered cellular metabolism is an important characteristic and driver of cancer. Surprisingly, however, we find here that aggregating individual gene expression using canonical metabolic pathways fails to enhance the classification of noncancerous vs
Externí odkaz:
https://doaj.org/article/ca322d652e1e4ee88d2d8a03dc151962
Publikováno v:
PLoS ONE, Vol 11, Iss 8, p e0156505 (2016)
The rich get richer principle, manifested by the Preferential attachment (PA) mechanism, is widely considered one of the major factors in the growth of real-world networks. PA stipulates that popular nodes are bound to be more attractive than less po
Externí odkaz:
https://doaj.org/article/d6cc8a62fcd6478191e89d4e8a90dba0
Autor:
Allon Wagner, Noa Cohen, Thomas Kelder, Uri Amit, Elad Liebman, David M Steinberg, Marijana Radonjic, Eytan Ruppin
Publikováno v:
Molecular Systems Biology, Vol 11, Iss 3, Pp n/a-n/a (2015)
Abstract High‐throughput omics have proven invaluable in studying human disease, and yet day‐to‐day clinical practice still relies on physiological, non‐omic markers. The metabolic syndrome, for example, is diagnosed and monitored by blood an
Externí odkaz:
https://doaj.org/article/f401501d86884b61974399e37e04dbd7
Autor:
Raphy Zarecki, Matthew A Oberhardt, Keren Yizhak, Allon Wagner, Ella Shtifman Segal, Shiri Freilich, Christopher S Henry, Uri Gophna, Eytan Ruppin
Publikováno v:
PLoS ONE, Vol 9, Iss 5, p e98372 (2014)
Growth rate has long been considered one of the most valuable phenotypes that can be measured in cells. Aside from being highly accessible and informative in laboratory cultures, maximal growth rate is often a prime determinant of cellular fitness, a
Externí odkaz:
https://doaj.org/article/9b5539e5b43f4d6085f473519d771ff3
Autor:
Kaifu Chen, Rongbin Zheng, Yang Zhang, Tadataka Tsuji, Xinlei Gao, Farnaz Shamsi, Allon Wagner, Nir Yosef, Hong Chen, Lili Zhang, Yu-Hua Tseng
We developed MEBOCOST, an algorithm for quantitatively inferring metabolite-mediated intercellular communications using single-cell RNA-seq data. The algorithm identifies cell-cell communications in which metabolites, such as lipids, are secreted by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29687d308a39c15361c171a0bfd42657
https://doi.org/10.21203/rs.3.rs-2092898/v1
https://doi.org/10.21203/rs.3.rs-2092898/v1
Autor:
Romain Lopez, Baoguo Li, Hadas Keren-Shaul, Pierre Boyeau, Merav Kedmi, David Pilzer, Adam Jelinski, Ido Yofe, Eyal David, Allon Wagner, Can Ergen, Yoseph Addadi, Ofra Golani, Franca Ronchese, Michael I. Jordan, Ido Amit, Nir Yosef
Publikováno v:
Nature biotechnology, vol 40, iss 9
Most spatial transcriptomics technologies are limited by their resolution, with spot sizes larger than that of a single cell. Although joint analysis with single-cell RNA sequencing can alleviate this problem, current methods are limited to assessing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf87646b33dba3c61b2b4cc621c0b8b1
https://escholarship.org/uc/item/3nn3d8j8
https://escholarship.org/uc/item/3nn3d8j8
Autor:
Rongbin Zheng, Yang Zhang, Tadataka Tsuji, Xinlei Gao, Allon Wagner, Nir Yosef, Hong Chen, Lili Zhang, Yu-Hua Tseng, Kaifu Chen
We developed MEBOCOST, a computational algorithm for quantitatively inferring metabolite-mediated intercellular communications using single cell RNA-seq data. The algorithm identifies cell-cell communications in which metabolites, such as lipids, are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b3d2e1c3f35180b0dd9f7d9838eb0d0
https://doi.org/10.1101/2022.05.30.494067
https://doi.org/10.1101/2022.05.30.494067