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Your search keyword '"Levy-Barda A"' showing total 4 results
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4 results on '"Levy-Barda A"'

1. Biological insights from plasma proteomics of non-small cell lung cancer patients treated with immunotherapy

Author

Bar, Jair, primary, Leibowitz, Raya, additional, Reinmuth, Niels, additional, Ammendola, Astrid, additional, Jacob, Eyal, additional, Moskovitz, Mor, additional, Levy-Barda, Adva, additional, Lotem, Michal, additional, Katsenelson, Rivka, additional, Agbarya, Abed, additional, Abu-Amna, Mahmoud, additional, Gottfried, Maya, additional, Harkovsky, Tatiana, additional, Wolf, Ido, additional, Tepper, Ella, additional, Loewenthal, Gil, additional, Yellin, Ben, additional, Brody, Yehuda, additional, Dahan, Nili, additional, Yanko, Maya, additional, Lahav, Coren, additional, Harel, Michal, additional, Raveh Shoval, Shani, additional, Elon, Yehonatan, additional, Sela, Itamar, additional, Dicker, Adam P., additional, and Shaked, Yuval, additional

Published
2024
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2. Altered somatic hypermutation patterns in COVID-19 patients classifies disease severity

Author

Safra, Modi, primary, Tamari, Zvi, additional, Polak, Pazit, additional, Shiber, Shachaf, additional, Matan, Moshe, additional, Karameh, Hani, additional, Helviz, Yigal, additional, Levy-Barda, Adva, additional, Yahalom, Vered, additional, Peretz, Avi, additional, Ben-Chetrit, Eli, additional, Brenner, Baruch, additional, Tuller, Tamir, additional, Gal-Tanamy, Meital, additional, and Yaari, Gur, additional

Published
2023
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3. Human intestinal epithelial cells can internalize luminal fungi via LC3-associated phagocytosis

Author

Cohen-Kedar, Sarit, primary, Shaham Barda, Efrat, additional, Rabinowitz, Keren Masha, additional, Keizer, Danielle, additional, Abu-Taha, Hanan, additional, Schwartz, Shoshana, additional, Kaboub, Kawsar, additional, Baram, Liran, additional, Sadot, Eran, additional, White, Ian, additional, Wasserberg, Nir, additional, Wolff-Bar, Meirav, additional, Levy-Barda, Adva, additional, and Dotan, Iris, additional

Published
2023
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4. Altered somatic hypermutation patterns in COVID-19 patients classifies disease severity

Author

Modi Safra, Zvi Tamari, Pazit Polak, Shachaf Shiber, Moshe Matan, Hani Karameh, Yigal Helviz, Adva Levy-Barda, Vered Yahalom, Avi Peretz, Eli Ben-Chetrit, Baruch Brenner, Tamir Tuller, Meital Gal-Tanamy, and Gur Yaari

Subjects
Immunology, Immunology and Allergy
Abstract

IntroductionThe success of the human body in fighting SARS-CoV2 infection relies on lymphocytes and their antigen receptors. Identifying and characterizing clinically relevant receptors is of utmost importance.MethodsWe report here the application of a machine learning approach, utilizing B cell receptor repertoire sequencing data from severely and mildly infected individuals with SARS-CoV2 compared with uninfected controls.ResultsIn contrast to previous studies, our approach successfully stratifies non-infected from infected individuals, as well as disease level of severity. The features that drive this classification are based on somatic hypermutation patterns, and point to alterations in the somatic hypermutation process in COVID-19 patients.DiscussionThese features may be used to build and adapt therapeutic strategies to COVID-19, in particular to quantitatively assess potential diagnostic and therapeutic antibodies. These results constitute a proof of concept for future epidemiological challenges.

Published
2023

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