Zobrazeno 1 - 10
of 140
pro vyhledávání: '"Petr V Nazarov"'
Autor:
Eduardo Higa, Abir Elbéji, Lu Zhang, Aurélie Fischer, Gloria A Aguayo, Petr V Nazarov, Guy Fagherazzi
Publikováno v:
JMIR Medical Informatics, Vol 10, Iss 11, p e35622 (2022)
BackgroundThe COVID-19 disease has multiple symptoms, with anosmia and ageusia being the most prevalent, varying from 75% to 95% and from 50% to 80% of infected patients, respectively. An automatic assessment tool for these symptoms will help monitor
Externí odkaz:
https://doaj.org/article/ec5810a1337f4da5a5d5ffc6cc7d3667
Autor:
Lu Zhang, Guy Fagherazzi, Aurélie Fischer, Gloria Aguayo, Abir Elbéji, Eduardo Higa, Vladimir Despotovic, Petr V Nazarov
Publikováno v:
BMJ Open, Vol 12, Iss 11 (2022)
Objective To develop a vocal biomarker for fatigue monitoring in people with COVID-19.Design Prospective cohort study.Setting Predi-COVID data between May 2020 and May 2021.Participants A total of 1772 voice recordings were used to train an AI-based
Externí odkaz:
https://doaj.org/article/553a0ca5acf14ffe8a3f38b96b04ca41
Autor:
Guy Fagherazzi, Lu Zhang, Abir Elbéji, Eduardo Higa, Vladimir Despotovic, Markus Ollert, Gloria A Aguayo, Petr V Nazarov, Aurélie Fischer
Publikováno v:
PLOS Digital Health, Vol 1, Iss 10, p e0000112 (2022)
People with COVID-19 can experience impairing symptoms that require enhanced surveillance. Our objective was to train an artificial intelligence-based model to predict the presence of COVID-19 symptoms and derive a digital vocal biomarker for easily
Externí odkaz:
https://doaj.org/article/490b0da76ed74b4d874dd8aac3b5671c
Autor:
Ramon Diaz-Uriarte, Elisa Gómez de Lope, Rosalba Giugno, Holger Fröhlich, Petr V Nazarov, Isabel A Nepomuceno-Chamorro, Armin Rauschenberger, Enrico Glaab
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 8, p e1010357 (2022)
Externí odkaz:
https://doaj.org/article/edb604546f6a4c678e3dd97f4dd8c7ea
Autor:
Komal Qureshi-Baig, Pit Ullmann, Fabien Rodriguez, Sónia Frasquilho, Petr V Nazarov, Serge Haan, Elisabeth Letellier
Publikováno v:
PLoS ONE, Vol 11, Iss 1, p e0146052 (2016)
Due to their self-renewal and tumorigenic properties, tumor-initiating cells (TICs) have been hypothesized to be important targets for colorectal cancer (CRC). However the study of TICs is hampered by the fact that the identification and culturing of
Externí odkaz:
https://doaj.org/article/eb32a3c9bbe247cba2908c5cf24dc1e2
Autor:
Petr V. Nazarov, Stephanie Kreis
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 19, Iss , Pp 1154-1162 (2021)
Advanced sequencing technologies such as RNASeq provide the means for production of massive amounts of data, including transcriptome-wide expression levels of coding RNAs (mRNAs) and non-coding RNAs such as miRNAs, lncRNAs, piRNAs and many other RNA
Externí odkaz:
https://doaj.org/article/2602553d4dee478c85e4d0b391fd3592
Autor:
Anne Schuster, Eliane Klein, Virginie Neirinckx, Arnon Møldrup Knudsen, Carina Fabian, Ann-Christin Hau, Monika Dieterle, Anais Oudin, Petr V. Nazarov, Anna Golebiewska, Arnaud Muller, Daniel Perez-Hernandez, Sophie Rodius, Gunnar Dittmar, Rolf Bjerkvig, Christel Herold-Mende, Barbara Klink, Bjarne Winther Kristensen, Simone P. Niclou
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-16 (2020)
Glioblastomas (GBMs) are highly invasive brain tumours, but the underlying mechanisms of GBM invasion are unclear. Here, the authors perform an RNA interference screen and identify AN1-Type Zinc Finger protein 3 (ZFAND3) as a regulator of GBM invasio
Externí odkaz:
https://doaj.org/article/04ea0e869f414c02aaa7957879d7374d
Autor:
Petr V. Nazarov, Anke K. Wienecke-Baldacchino, Andrei Zinovyev, Urszula Czerwińska, Arnaud Muller, Dorothée Nashan, Gunnar Dittmar, Francisco Azuaje, Stephanie Kreis
Publikováno v:
BMC Medical Genomics, Vol 12, Iss 1, Pp 1-17 (2019)
Abstract Background The amount of publicly available cancer-related “omics” data is constantly growing and can potentially be used to gain insights into the tumour biology of new cancer patients, their diagnosis and suitable treatment options. Ho
Externí odkaz:
https://doaj.org/article/1bd44d850a1c42fcbb8782cae13fdfc5
Autor:
Evelyn Ramberger, Valeria Sapozhnikova, Elisabeth Kowenz-Leutz, Karin Zimmermann, Nathalie Nicot, Petr V. Nazarov, Daniel Perez-Hernandez, Ulf Reimer, Philipp Mertins, Gunnar Dittmar, Achim Leutz
Publikováno v:
iScience, Vol 24, Iss 6, Pp 102686- (2021)
Summary: C/EBPα represents a paradigm intrinsically disordered transcription factor containing short linear motifs and post-translational modifications (PTM). Unraveling C/EBPα protein interaction networks is a prerequisite for understanding the mu
Externí odkaz:
https://doaj.org/article/ffaf33db25f0418896d38ec650bd59eb
Autor:
Anne Dirkse, Anna Golebiewska, Thomas Buder, Petr V. Nazarov, Arnaud Muller, Suresh Poovathingal, Nicolaas H. C. Brons, Sonia Leite, Nicolas Sauvageot, Dzjemma Sarkisjan, Mathieu Seyfrid, Sabrina Fritah, Daniel Stieber, Alessandro Michelucci, Frank Hertel, Christel Herold-Mende, Francisco Azuaje, Alexander Skupin, Rolf Bjerkvig, Andreas Deutsch, Anja Voss-Böhme, Simone P. Niclou
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-16 (2019)
Cancer stem cells (CSCs) comprise a putative population that can drive growth and resistance. Here, in glioblastoma models the authors show that rather than being a distinct clonal entity, the CSC population represents a plastic state adoptable by mo
Externí odkaz:
https://doaj.org/article/f9953d80d7214efbbab8832d2c810d81