Deciphering metabolomics and lipidomics landscape in zebrafish hypertrophic cardiomyopathy model

Autor: Shana Jacob, Tala Abuarja, Rulan Shaath, Waseem Hasan, Saroja Balayya, Doua Abdelrahman, Khalid Almana, Hajira Afreen, Ahmad Hani, Michail Nomikos, Khalid Fakhro, Mohamed A. Elrayess, Sahar Isa Da’as

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)

Abstract To elucidate the lipidomic and metabolomic alterations associated with hypertrophic cardiomyopathy (HCM) pathogenesis, we utilized cmybpc3-/- zebrafish model. Fatty acid profiling revealed variability of 10 fatty acids profiles, with heteroz

Externí odkaz: https://doaj.org/article/35c53de5da034cfcaea19dfec5df6e9b

Integrating Genome Sequencing and Untargeted Metabolomics in Monozygotic Twins with a Rare Complex Neurological Disorder

Autor: Rulan Shaath, Aljazi Al-Maraghi, Haytham Ali, Jehan AlRayahi, Adam D. Kennedy, Karen L. DeBalsi, Sura Hussein, Najwa Elbashir, Sujitha S. Padmajeya, Sasirekha Palaniswamy, Sarah H. Elsea, Ammira A. Akil, Noha A. Yousri, Khalid A. Fakhro

Publikováno v: Metabolites, Vol 14, Iss 3, p 152 (2024)

Multi-omics approaches, which integrate genomics, transcriptomics, proteomics, and metabolomics, have emerged as powerful tools in the diagnosis of rare diseases. We used untargeted metabolomics and whole-genome sequencing (WGS) to gain a more compre

Externí odkaz: https://doaj.org/article/363621f47bd04b7991f4b0b899d83913

Genomic architecture of Autism Spectrum Disorder from comprehensive whole-genome sequence annotation

Autor: Brett Trost, Bhooma Thiruvahindrapuram, Ada J.S. Chan, Worrawat Engchuan, Edward J. Higginbotham, Jennifer L. Howe, Livia O. Loureiro, Miriam S. Reuter, Delnaz Roshandel, Joe Whitney, Mehdi Zarrei, Matthew Bookman, Cherith Somerville, Rulan Shaath, Mona Abdi, Elbay Aliyev, Rohan V. Patel, Thomas Nalpathamkalam, Giovanna Pellecchia, Omar Hamdan, Gaganjot Kaur, Zhuozhi Wang, Jeffrey R. MacDonald, John Wei, Wilson W.L. Sung, Sylvia Lamoureux, Ny Hoang, Thanuja Selvanayagam, Nicole Deflaux, Melissa Geng, Siavash Ghaffari, John Bates, Edwin J. Young, Qiliang Ding, Carole Shum, Lia D’abate, Clarissa A. Bradley, Annabel Rutherford, Vernie Aguda, Beverly Apresto, Nan Chen, Sachin Desai, Xiaoyan Du, Matthew L.Y. Fong, Sanjeev Pullenayegum, Kozue Samler, Ting Wang, Karen Ho, Tara Paton, Sergio L. Pereira, Jo-Anne Herbrick, Richard F. Wintle, Jonathan Fuerth, Juti Noppornpitak, Heather Ward, Patrick Magee, Ayman Al Baz, Usanthan Kajendirarajah, Sharvari Kapadia, Jim Vlasblom, Monica Valluri, Joseph Green, Vicki Seifer, Morgan Quirbach, Olivia Rennie, Elizabeth Kelley, Nina Masjedi, Catherine Lord, Michael J. Szego, Ma’n H. Zawati, Michael Lang, Lisa J. Strug, Christian R. Marshall, Gregory Costain, Kristina Calli, Alana Iaboni, Afiqah Yusuf, Patricia Ambrozewicz, Louise Gallagher, David G. Amaral, Jessica Brian, Mayada Elsabbagh, Stelios Georgiades, Daniel S. Messinger, Sally Ozonoff, Jonathan Sebat, Calvin Sjaarda, Isabel M. Smith, Peter Szatmari, Lonnie Zwaigenbaum, Azadeh Kushki, Thomas W. Frazier, Jacob A.S. Vorstman, Khalid A. Fakhro, Bridget A. Fernandez, M.E. Suzanne Lewis, Rosanna Weksberg, Marc Fiume, Ryan K.C. Yuen, Evdokia Anagnostou, Neal Sondheimer, David Glazer, Dean M. Hartley, Stephen W. Scherer

Fully understanding the genetic factors involved in Autism Spectrum Disorder (ASD) requires whole-genome sequencing (WGS), which theoretically allows the detection of all types of genetic variants. With the aim of generating an unprecedented resource

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b717e0844196ee000bbf7582208abb19
https://doi.org/10.1101/2022.05.05.22274031