Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Omer Basha"'
Predicting molecular mechanisms of hereditary diseases by using their tissue‐selective manifestation
Autor:
Eyal Simonovsky, Moran Sharon, Maya Ziv, Omry Mauer, Idan Hekselman, Juman Jubran, Ekaterina Vinogradov, Chanan M Argov, Omer Basha, Lior Kerber, Yuval Yogev, Ayellet V Segrè, Hae Kyung Im, GTEx Consortium, Ohad Birk, Lior Rokach, Esti Yeger‐Lotem
Publikováno v:
Molecular Systems Biology, Vol 19, Iss 8, Pp 1-20 (2023)
Abstract How do aberrations in widely expressed genes lead to tissue‐selective hereditary diseases? Previous attempts to answer this question were limited to testing a few candidate mechanisms. To answer this question at a larger scale, we develope
Externí odkaz:
https://doaj.org/article/2f83bd8335064584b8465fdd36d265bc
Autor:
Netta Shemesh, Juman Jubran, Shiran Dror, Eyal Simonovsky, Omer Basha, Chanan Argov, Idan Hekselman, Mehtap Abu-Qarn, Ekaterina Vinogradov, Omry Mauer, Tatiana Tiago, Serena Carra, Anat Ben-Zvi, Esti Yeger-Lotem
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-16 (2021)
Tissue-specific differences in protein folding capacities are poorly understood. Here, the authors show that the human chaperone system consists of ubiquitous core chaperones and tissue-specific variable chaperones, perturbation of which leads to tis
Externí odkaz:
https://doaj.org/article/b6aba57ae59741e89406ba11b3f77eab
Autor:
Idan Hekselman, Chanan M Argov, Liad Alfandari, Raviv Artzy, Yazeed Zoabi, Omer Basha, Vered Chalifa-Caspi, Esti Yeger-Lotem
Publikováno v:
Bioinformatics. 36:2821-2828
Motivation Differential network analysis, designed to highlight network changes between conditions, is an important paradigm in network biology. However, differential network analysis methods have been typically designed to compare between two condit
Autor:
Ekaterina Vinogradov, Eyal Simonovsky, Idan Hekselman, Omry Mauer, Serena Carra, Omer Basha, Anat Ben-Zvi, Juman Jubran, Mehtap Abu-Qarn, Chanan M Argov, Netta Shemesh, Shiran Dror, Tatiana Tiago, Esti Yeger-Lotem
Publikováno v:
Nature Communications
Nature Communications, Vol 12, Iss 1, Pp 1-16 (2021)
Nature Communications, Vol 12, Iss 1, Pp 1-16 (2021)
The sensitivity of the protein-folding environment to chaperone disruption can be highly tissue-specific. Yet, the organization of the chaperone system across physiological human tissues has received little attention. Through computational analyses o
Autor:
Hae Kyung Im, Lior Kerber, Eyal Simonovsky, Maya Ziv, Ekaterina Vinogradov, Ayellet V. Segrè, Juman Jubran, Lior Rokach, Yuval Yogev, Ohad S. Birk, Idan Hekselman, Omry Mauer, Moran Sharon, Omer Basha, Esti Yeger-Lotem, Chanan M Argov
Genetic studies of Mendelian and rare diseases face the critical challenges of identifying pathogenic gene variants and their modes-of-action. Previous efforts rarely utilized the tissue-selective manifestation of these diseases for their elucidation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51820c5a10fc70e3999ec659b9e8a8f0
https://doi.org/10.1101/2021.02.16.430825
https://doi.org/10.1101/2021.02.16.430825
Autor:
Ekaterina Vinogradov, Anat Ben-Zvi, Omer Basha, Shiran Dror, Juman Jubran, Mehtap Abu-Qarn, Idan Hekselman, Netta Shemesh, Eyal Simonovky, Esti Yeger-Lotem, Serena Carra
The sensitivity of the protein-folding environment to chaperone disruption can be highly tissue-specific. Yet, the organization of the chaperone system across physiological human tissues has received little attention. Here, we used human tissue RNA-s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfe3c5bb08e0ac077e5bddd7c4b7eaa8
Autor:
Eyal Simonovsky, Joseph C. Mellor, Amélie Dricot, Marc Vidal, Liana Goehring, Miquel Duran-Frigola, Florian Goebels, Dayag Sheykhkarimli, Thomas Rolland, Murat Tasan, John Rasla, Steffi De Rouck, Carles Pons, Sadie Schlabach, Yoseph Kassa, Claudia Colabella, Dong-Sic Choi, Yves Jacob, Joseph N. Paulson, Javier De Las Rivas, Madeleine F. Hardy, Francisco J. Campos-Laborie, Xinping Yang, Soon Gang Choi, Frederick P. Roth, Kerstin Spirohn, Nishka Kishore, Luke Lambourne, Cassandra D’Amata, Dawit Balcha, Adriana San-Miguel, Anupama Yadav, Anjali Gopal, Suet-Feung Chin, Suzanne Gaudet, Yang Wang, István Kovács, Elodie Hatchi, Natascha van Lieshout, Michael A. Calderwood, Yu Xia, Gloria M. Sheynkman, Robert J. Weatheritt, Marinella Gebbia, Atina G. Cote, Bridget E. Begg, Mohamed Helmy, Katja Luck, Bridget Teeking, Quan Zhong, Serena Landini, David E. Hill, Sudharshan Rangarajan, Georges Coppin, Ghazal Haddad, Omer Basha, Carl Pollis, Dylan Markey, Alice Desbuleux, Hanane Ennajdaoui, Dae-Kyum Kim, Vincent Tropepe, Roujia Li, Steven Deimling, Jennifer J. Knapp, Jan Tavernier, Mariana Babor, Benoit Charloteaux, Gary D. Bader, Alexander O. Tejeda, Aaron Richardson, Ruth Brignall, Ashyad Rayhan, Irma Lemmens, Tong Hao, Christian Bowman-Colin, Janusz Rak, David De Ridder, Jochen Weile, Wenting Bian, Jean-Claude Twizere, Patrick Aloy, Esti Yeger-Lotem, Meaghan Daley, Tiziana M. Cafarelli, Andrew MacWilliams, Miles W. Mee, Yun Shen
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
Nature
Nature, Nature Publishing Group, 2020, 580 (7803), pp.402-408. ⟨10.1038/s41586-020-2188-x⟩
Nature, 2020, 580 (7803), pp.402-408. ⟨10.1038/s41586-020-2188-x⟩
instname
Nature
Nature, Nature Publishing Group, 2020, 580 (7803), pp.402-408. ⟨10.1038/s41586-020-2188-x⟩
Nature, 2020, 580 (7803), pp.402-408. ⟨10.1038/s41586-020-2188-x⟩
et al.
Global insights into cellular organization and genome function require comprehensive understanding of the interactome networks that mediate genotype–phenotype relationships1,2. Here we present a human ‘all-by-all’ reference interact
Global insights into cellular organization and genome function require comprehensive understanding of the interactome networks that mediate genotype–phenotype relationships1,2. Here we present a human ‘all-by-all’ reference interact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::faac39e9886775ddfef26fed76c6c35f
http://hdl.handle.net/10261/222715
http://hdl.handle.net/10261/222715
Publikováno v:
Nucleic Acids Research
DifferentialNet is a novel database that provides users with differential interactome analysis of human tissues (http://netbio.bgu.ac.il/diffnet/). Users query DifferentialNet by protein, and retrieve its differential protein–protein interactions (
Autor:
Manuel Muñoz-Aguirre, Pejman Mohammadi, Boxiang Liu, Eric Gamazon, Martijn Van de Bunt, Roger Little, Ferran Reverter, Richard Sandstrom, Jemma Nelson, Omer Basha, Thomas Juettemann, Yi-Hui Zhou, Olivier Delaneau, Robert Handsaker, Gerald Quon, Fan Wu, Panagiotis Papasaikas, Magali Ruffier, Halit Ongen, Daniel MacArthur, Daniel Zerbino, Carlos D. Bustamante, Peter Hickey, Pedro Ferreira, Sarah Kim-Hellmuth, Paul Flicek, Yaping Liu, Tuuli Lappalainen, Barbara Engelhardt, Esti Yeger-Lotem, Christine Peterson, Rajinder Kaul, Dan Nicolae, David Davis, Ruth Barshir, Michael Sammeth, Stephen Montgomery, Diego Garrido-Martín, Kasper Hansen, Andrew Brown, Taru Tukiainen, Tyler Shimko, Laure Frésard, Mark McCarthy, Joshua Akey, Brian Jo
Publikováno v:
Recercat. Dipósit de la Recerca de Catalunya
instname
Nature, Vol. 550, No 7675 (2017) pp. 204-213
Nature, 550(7675), 204-213. Nature Publishing Group
Nature
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
instname
Nature, Vol. 550, No 7675 (2017) pp. 204-213
Nature, 550(7675), 204-213. Nature Publishing Group
Nature
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Characterization of the molecular function of the human genome and its variation across individuals is essential for identifying the cellular mechanisms that underlie human genetic traits and diseases. The Genotype-Tissue Expression (GTEx) project ai
Publikováno v:
Nucleic Acids Research
ResponseNet v.3 is an enhanced version of ResponseNet, a web server that is designed to highlight signaling and regulatory pathways connecting user-defined proteins and genes by using the ResponseNet network optimization approach (http://netbio.bgu.a