Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Efstathios A Elia"'
Autor:
Johan Vande Voorde, Arafath K. Najumudeen, Rory T. Steven, Chelsea J. Nikula, Alex Dexter, Lucas B. Zeiger, Efstathios A. Elia, Ammar Nasif, Ariadna Gonzalez-Fernandez, Teresa Murta, Michael Gillespie, Catriona A. Ford, Tamsin R.M. Lannagan, Nikola Vlahov, Rachel A. Ridgway, Colin Nixon, Kathryn Gilroy, David M. Gay, Amy Burton, Bin Yan, Katherine Sellers, Vincen Wu, Yuchen Xiang, Engy Shokry, William Clark, Vivian S.W. Li, Simon T. Barry, Richard J.A. Goodwin, Zoltan Takats, Oliver D.K. Maddocks, David Sumpton, Mariia O. Yuneva, Andrew D. Campbell, Josephine Bunch, Owen J. Sansom
With colorectal cancer (CRC) being the second most common cause of cancer-related deaths worldwide1, there is an urgent need for better diagnostic tools and new, more targeted therapies. Here we used genetically engineered mouse models (GEMMs), and m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d49a1f23b41d8dcc99c9cad29a72865
https://doi.org/10.1101/2023.03.12.531945
https://doi.org/10.1101/2023.03.12.531945
Autor:
Bin Yan, Chelsea J. Nikula, Owen J. Sansom, Spencer A. Thomas, Teresa Murta, Rory T. Steven, Alex Dexter, Andrew D. Campbell, Efstathios A Elia, Richard J. A. Goodwin, Zoltan Takats, Josephine Bunch, Lucas B. Zeiger
Publikováno v:
Analytical Chemistry. 93:2309-2316
Mass spectrometry imaging can produce large amounts of complex spectral and spatial data. Such data sets are often analyzed with unsupervised machine learning approaches, which aim at reducing their complexity and facilitating their interpretation. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2c143ef9f3301c0c340a9126a7814be
https://doi.org/10.1021/acs.analchem.0c04179
https://doi.org/10.1021/acs.analchem.0c04179
Autor:
Efstathios A Elia, Josephine Bunch, J de Jesus, Allen T. Bellew, Steven J. Hinder, Melanie J. Bailey, Catia Costa, John F. Watts, Min Jang, Rory T. Steven, Chelsea J. Nikula
Publikováno v:
The Analyst. 146:4010-4021
Here we show a new and significant application area for mass spectrometry imaging. The potential for fingerprints to reveal drug use has been widely reported, with potential applications in forensics and workplace drug testing. However, one unsolved
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c0a4d65f90c1a4014d0e89c25cf3f74
https://doi.org/10.1039/d1an00232e
https://doi.org/10.1039/d1an00232e
Publikováno v:
Analytical Chemistry. 92:15285-15290
Atmospheric pressure ionization methods confer a number of advantages over more traditional vacuum based techniques, in particular ease of hyphenation to a range of mass spectrometers. For atmospheric pressure matrix assisted desorption/ionization (A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53c3dc54ec983af9964541fc684216ea
https://doi.org/10.1021/acs.analchem.0c03524
https://doi.org/10.1021/acs.analchem.0c03524
Publikováno v:
Journal of the American Society for Mass Spectrometry. 32(2)
Matrix-assisted laser desorption ionization (MALDI) operated at atmospheric pressure has been shown to be a promising technique for mass spectrometry imaging of biological tissues at high spatial resolution. Recent studies have shown several orders o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2084a3b575257d8e00f244fe093e2154
https://pubmed.ncbi.nlm.nih.gov/33289553
https://pubmed.ncbi.nlm.nih.gov/33289553
Autor:
Kenneth N. Robinson, Josephine Bunch, Marcel Niehaus, Bin Yan, Alan M. Race, Rory T. Steven, Efstathios A Elia, Teresa Murta
Publikováno v:
Journal of the American Society for Mass Spectrometry. 31(11)
Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) is a powerful label-free technique for mapping the spatial distribution of biomolecules directly from tissue. However, like most other MSI techniques, it suffers from l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d4c41fb20761847780e2186e52feb04
https://pubmed.ncbi.nlm.nih.gov/32945667
https://pubmed.ncbi.nlm.nih.gov/32945667
Autor:
Ian S. Gilmore, Piotr Grabowski, Mariia Yuneva, Arafath Kaja Najumudeen, Bin Yan, Panina Y, Teresa Murta, Andrew D. Campbell, Chelsea J. Nikula, Simon T. Barry, Alex Dexter, Owen J. Sansom, Kenneth N. Robinson, Richard J. A. Goodwin, Josephine Bunch, Spencer A. Thomas, John G. Swales, Adam J. Taylor, Zoltan Takats, Efstathios A Elia, Gregory Hamm, Rory T. Steven
High dimensionality omics and hyperspectral imaging datasets present difficult challenges for feature extraction and data mining due to huge numbers of features that cannot be simultaneously examined. The sample numbers and variables of these methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd61ee8aa985a5f6076c40d93227b70a
https://doi.org/10.1101/2020.09.03.269555
https://doi.org/10.1101/2020.09.03.269555
Autor:
Andjoe A S Sampat, Dean R. Jarois, Tarick J. El-Baba, Ellen D. Inutan, Christopher B. Lietz, Sarah Trimpin, Efstathios A. Elia, Casey D. Foley, David E. Clemmer, Santosh Karki
Publikováno v:
Rapid Communications in Mass Spectrometry. 35
Rationale Examining surface protein conformations, and especially achieving this with spatial resolution, is an important goal. The recently discovered ionization processes offer spatial-resolution measurements similar to matrix-assisted laser desorp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::250d008ed07f3a625142f241ee990544
https://doi.org/10.1002/rcm.8793
https://doi.org/10.1002/rcm.8793
Autor:
Christopher B. Lietz, Ken Mackie, Joshua L. Fischer, Beixi Wang, Khoa Hoang, Charles N. McEwen, Alicia L. Richards, Sara Madarshahian, Santosh Karki, Milan Pophristic, Vincent S. Pagnotti, Efstathios A. Elia, Sarah Trimpin, Darrell D. Marshall, Corinne A. Lutomski, I-Chung Lu, Anil Kumar Meher, Tarick J. El-Baba, James Wager-Miller, Ellen D. Inutan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b227f4c1757824827bc722a999588ed2
https://doi.org/10.1002/rcm.8829/v2/response1
https://doi.org/10.1002/rcm.8829/v2/response1
Autor:
I-Chung Lu, Anil Kumar Meher, Beixi Wang, Darrell D. Marshall, Khoa Hoang, Alicia L. Richards, Ken Mackie, Sarah Trimpin, Efstathios A. Elia, Joshua L. Fischer, Charles N. McEwen, James Wager-Miller, Vincent S. Pagnotti, Ellen D. Inutan, Sara Madarshahian, Milan Pophristic, Christopher B. Lietz, Santosh Karki, Corinne A. Lutomski, Tarick J. El-Baba
Publikováno v:
Rapid communications in mass spectrometry : RCMREFERENCES. 35
Rationale The developments of new ionization technologies based on processes previously unknown to mass spectrometry (MS) have gained significant momentum. Herein we address the importance of understanding these unique ionization processes, demonstra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e2057a8f107211ff76fc0ad703a2438
https://pubmed.ncbi.nlm.nih.gov/32402102
https://pubmed.ncbi.nlm.nih.gov/32402102