J
Jeremy P. Koelmel
Researcher at Yale University
Publications - 65
Citations - 2178
Jeremy P. Koelmel is an academic researcher from Yale University. The author has contributed to research in topics: Lipidomics & Medicine. The author has an hindex of 16, co-authored 54 publications receiving 1188 citations. Previous affiliations of Jeremy P. Koelmel include University of Hyderabad & Hampshire College.
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Journal ArticleDOI
A lipidome atlas in MS-DIAL 4.
Hiroshi Tsugawa,Kazutaka Ikeda,Mikiko Takahashi,Aya O. Satoh,Yoshifumi Mori,Haruki Uchino,Nobuyuki Okahashi,Yutaka Yamada,Ipputa Tada,Paolo Bonini,Yasuhiro Higashi,Yozo Okazaki,Zhiwei Zhou,Zheng-Jiang Zhu,Jeremy P. Koelmel,Jeremy P. Koelmel,Tomas Cajka,Oliver Fiehn,Kazuki Saito,Masanori Arita,Makoto Arita,Makoto Arita +21 more
TL;DR: A comprehensive lipidome atlas with retention time, collision cross-section and tandem mass spectrometry information is presented and mass spectral fragmentations of lipids across 117 lipid subclasses are presented in a lipidomeAtlas.
Journal ArticleDOI
Harmonizing lipidomics: NIST interlaboratory comparison exercise for lipidomics using SRM 1950-Metabolites in Frozen Human Plasma.
John A. Bowden,Alan Heckert,Candice Z. Ulmer,Christina M. Jones,Jeremy P. Koelmel,Laila Abdullah,Linda Ahonen,Yazen Alnouti,Aaron M. Armando,John M. Asara,John M. Asara,Takeshi Bamba,John R. Barr,Jonas Bergquist,Christoph H. Borchers,Joost Brandsma,Susanne B. Breitkopf,Tomas Cajka,Amaury Cazenave-Gassiot,Antonio Checa,Michelle Cinel,Romain A. Colas,Serge Cremers,Edward A. Dennis,James E. Evans,Alexander Fauland,Oliver Fiehn,Oliver Fiehn,Michael S. Gardner,Timothy J. Garrett,Katherine H. Gotlinger,Jun Han,Yingying Huang,Aveline H. Neo,Tuulia Hyötyläinen,Yoshihiro Izumi,Hongfeng Jiang,Houli Jiang,Jiang Jiang,Maureen Kachman,Reiko Kiyonami,Kristaps Klavins,Christian Klose,Harald Köfeler,Johan Kolmert,Therese Koal,Grielof Koster,Zsuzsanna Kuklenyik,Irwin J. Kurland,Michael Leadley,Karen Lin,Krishna Rao Maddipati,Danielle J. McDougall,Peter J. Meikle,Natalie A. Mellett,Cian Monnin,M. Arthur Moseley,Renu Nandakumar,Matej Orešič,Rainey E. Patterson,David A. Peake,Jason S. Pierce,Martin Post,Anthony D. Postle,Rebecca S. Pugh,Yunping Qiu,Oswald Quehenberger,Parsram Ramrup,Jon Rees,Barbara Rembiesa,Denis Reynaud,Mary R. Roth,Susanne Sales,Kai Schuhmann,Michal L. Schwartzman,Charles N. Serhan,Andrej Shevchenko,Stephen E. Somerville,Lisa St. John-Williams,Michal A. Surma,Hiroaki Takeda,Rhishikesh Thakare,J. Will Thompson,Federico Torta,Alexander Triebl,Martin Trötzmüller,S. J. Kumari A. Ubhayasekera,Dajana Vuckovic,Jacquelyn M. Weir,Ruth Welti,Markus R. Wenk,Craig E. Wheelock,Libin Yao,Min Yuan,Xueqing Zhao,Senlin Zhou +95 more
TL;DR: The central theme of the interlaboratory study was to provide values to help harmonize lipids, lipid mediators, and precursor measurements across the community, and it was also initiated to stimulate a discussion regarding areas in need of improvement.
Journal ArticleDOI
LipidMatch: an automated workflow for rule-based lipid identification using untargeted high-resolution tandem mass spectrometry data.
Jeremy P. Koelmel,Nicholas M. Kroeger,Candice Z. Ulmer,Candice Z. Ulmer,John A. Bowden,Rainey E. Patterson,Jason A. Cochran,Chris Beecher,Timothy J. Garrett,Richard A. Yost +9 more
TL;DR: When integrated into a larger lipidomics workflow, LipidMatch may increase the probability of finding lipid-based biomarkers and determining etiology of disease by covering a greater portion of the lipidome and using annotation which does not over-report biologically relevant structural details of identified lipid molecules.
Journal ArticleDOI
Expanding Lipidome Coverage Using LC-MS/MS Data-Dependent Acquisition with Automated Exclusion List Generation
Jeremy P. Koelmel,Nicholas M. Kroeger,Emily L. Gill,Candice Z. Ulmer,Candice Z. Ulmer,John A. Bowden,Rainey E. Patterson,Richard A. Yost,Timothy J. Garrett +8 more
TL;DR: The software IE-Omics to automate iterative exclusion (IE), where selected precursors using data-dependent topN analyses are excluded in sequential injections increases the probability of finding biomarkers and provides additional information for determining etiology of disease.
Journal ArticleDOI
Investigation of gold nanoparticles uptake and their tissue level distribution in rice plants by laser ablation-inductively coupled-mass spectrometry.
TL;DR: The results demonstrate that terminal functional groups greatly affected the AuNP uptake into plant tissues and distributions of mesophyll and vascular AuNP dependent on organ or AuNP concentration.