Met4DX: A Unified and Versatile Data Processing Tool for Multidimensional Untargeted Metabolomics Data DOI
Yandong Yin,

Mingdu Luo,

Zheng‐Jiang Zhu

и другие.

Journal of the American Society for Mass Spectrometry, Год журнала: 2024, Номер unknown

Опубликована: Окт. 14, 2024

Liquid chromatography–mass spectrometry (LC–MS) is a powerful tool in untargeted metabolomics, enabling the high-sensitivity and high-specificity characterization of metabolites. The integration ion mobility (IM) with LC–MS, known as LC–IM–MS, enhances analytical depth, facilitating more comprehensive metabolite profiling. However, complexity data generated by these technologies presents significant challenges processing. Addressing challenges, we developed Met4DX, unified versatile software for processing both 3D 4D metabolomics data. Met4DX incorporates new MS1-oriented peak detection approach coupled our bottom-up assembly algorithm, highly sensitive Additionally, employs uniform quantification strategy to enhance precision across different samples. provides user-friendly interface that simplifies default parameter sets, consolidating detection, alignment, quantification, other procedures into single streamlined workflow. Together, offers solution multidimensional processing, transforming raw from diverse MS instruments final feature table containing identification results. We postulate facilitates discovery biological samples deciphering complex freely available on Internet (https://met4dx.zhulab.cn/).

Язык: Английский

Identification and characterization of chiral vitamin C using ion mobility and theoretical calculation DOI
Ying Zou, Manli Zhang, Dongdong Zhou

и другие.

Analytical and Bioanalytical Chemistry, Год журнала: 2025, Номер unknown

Опубликована: Апрель 7, 2025

Язык: Английский

Процитировано

0

Open-Source and FAIR Research Software for Proteomics DOI Creative Commons
Yasset Pérez‐Riverol, Wout Bittremieux, William Stafford Noble

и другие.

Journal of Proteome Research, Год журнала: 2025, Номер unknown

Опубликована: Апрель 23, 2025

Scientific discovery relies on innovative software as much experimental methods, especially in proteomics, where computational tools are essential for mass spectrometer setup, data analysis, and interpretation. Since the introduction of SEQUEST, proteomics has grown into a complex ecosystem algorithms, predictive models, workflows, but field faces challenges, including increasing complexity spectrometry data, limited reproducibility due to proprietary software, difficulties integrating with other omics disciplines. Closed-source, platform-specific exacerbate these issues by restricting innovation, creating inefficiencies, imposing hidden costs community. Open-source (OSS), aligned FAIR Principles (Findable, Accessible, Interoperable, Reusable), offers solution promoting transparency, reproducibility, community-driven development, which fosters collaboration continuous improvement. In this manuscript, we explore role OSS its alignment principles, potential address challenges related licensing, distribution, standardization. Drawing lessons from fields, present vision future principles underpin transparent, accessible,

Язык: Английский

Процитировано

0

Coupling Capillary Electrophoresis With a Shifted Inlet Potential High‐Resolution Ion Mobility Spectrometer DOI Creative Commons

Klaus Welters,

Christian Thoben, Christian‐Robert Raddatz

и другие.

Electrophoresis, Год журнала: 2025, Номер unknown

Опубликована: Апрель 28, 2025

ABSTRACT We present the coupling of capillary electrophoresis to a custom‐built high‐resolution ion mobility spectrometer (IMS). This system integrates shifted inlet potential IMS configuration with customised nanoflow ESI sheath interface. It enables rapid analysis quaternary ammonium compounds (QACs) and their impurities in real‐world samples. allowed detection six non‐chromophoric about 3 min. The assignment signals was supported by matching experimentally determined collision cross‐section (CCS) values predicted values. achieved limit single‐digit picogram range resolutions over 80.

Язык: Английский

Процитировано

0

Recent advances in microscale separation techniques for glycome analysis DOI Creative Commons
Chenchen Liu, Koji Otsuka, Takayuki Kawai

и другие.

Journal of Separation Science, Год журнала: 2024, Номер 47(11)

Опубликована: Июнь 1, 2024

The glycomic analysis holds significant appeal due to the diverse roles that glycans and glycoconjugates play, acting as modulators mediators in cellular interactions, cell/organism structure, drugs, energy sources, glyconanomaterials, more. relies on liquid‐phase separation technologies for molecular purification, separation, identification. As a miniaturized form of technology, microscale offer various advantages such environmental friendliness, high resolution, sensitivity, fast speed, integration capabilities. For glycan analysis, are continuously evolving address increasing challenges their unique manners. This review discusses fundamentals applications analysis. It covers operating at scales generally less than 100 µm, including capillary electrophoresis, nanoflow liquid chromatography, microchip electrophoresis. We will provide brief overview describe new strategies from 2014 2023.

Язык: Английский

Процитировано

2

Elucidation of Dithiol-yne Comb Polymer Architectures by Tandem Mass Spectrometry and Ion Mobility Techniques DOI Open Access

Kayla Williams‐Pavlantos,

Abdol Hadi Mokarizadeh, Brennan J. Curole

и другие.

Polymers, Год журнала: 2024, Номер 16(12), С. 1665 - 1665

Опубликована: Июнь 12, 2024

Polymers have a wide range of applications depending on their composition, size, and architecture. Varying any these three characteristics can greatly impact the resulting chemical, physical, mechanical properties. While many techniques are available to determine polymer composition determining exact architecture is more challenging. Herein, tandem mass spectrometry (MS/MS) ion mobility (IM-MS) methods utilized derive crucial architectural information about dithiol-yne comb polymers. Based unique fragmentation products IM drift times, oligomers with distinct architectures were successfully differentiated characterized. Additionally, experimental collision cross-sections (Ω) derived via IM-MS compared theoretically extracted Ω values from molecular dynamics simulated structures deduce motif oligomers. Overall, this work demonstrates benefits combining various in order gain complete understanding complex mixture.

Язык: Английский

Процитировано

1

Exploring Ion Mobility Mass Spectrometry Data File Conversions to Leverage Existing Tools and Enable New Workflows DOI
Sarah M. Stow, Bryson Gibbons,

Leonard C. Rorrer

и другие.

Journal of the American Society for Mass Spectrometry, Год журнала: 2024, Номер 35(8), С. 1991 - 2001

Опубликована: Июль 26, 2024

Ion mobility (IM) is often combined with LC-MS experiments to provide an additional dimension of separation for complex sample analysis. While highly samples are better characterized by the full dimensionality LC-IM-MS uncover new information, downstream data analysis workflows not equipped properly mine IM dimension. For many acquisition benefits including separations all that necessary information and required Postacquisition reduction adaptation dimensions IM-MS into format opens possibility use a plethora existing software tools. In this work, we developed file conversion tools reduce complexity Three transformations introduced in PNNL PreProcessor software: (1) mapping axis LC data, (2) converting drift time vs m/z space CCS/z space, (3) transforming All Ions IM/MS aligned fragmentation standard DDA format. These conversions demonstrated corresponding lipidomics proteomics leverage highlight transformations.

Язык: Английский

Процитировано

1

Evaluation of a Reference-Free Collision Cross Section Calibration Strategy for Proteomics Using SLIM-Based High-Resolution Ion Mobility Spectrometry–Mass Spectrometry DOI
Dylan H. Ross, Jung Yun Lee, Yuqian Gao

и другие.

Journal of the American Society for Mass Spectrometry, Год журнала: 2024, Номер 35(7), С. 1539 - 1549

Опубликована: Июнь 12, 2024

Ion mobility spectrometry (IMS) is a gas-phase analytical technique that separates ions with different sizes and shapes compatible mass (MS) to provide an additional separation dimension. The rapid nature of the IMS combined high sensitivity MS-based detection ability derive structural information on analytes in form property collision cross section (CCS) makes particularly well-suited for characterizing complex samples -omics applications. In such applications, quality CCS from measurements critical confident annotation detected components samples. However, most instrumentation mainstream use requires calibration calculate measured arrival times, notable exception being drift tube using multifield methods. strategy calibrating values, selection appropriate calibrants, has important implications accuracy, reproducibility, transferability between laboratories. conventional approach involves explicitly defining calibrants ahead data acquisition crucially relies upon availability reference values. this work, we present novel reference-free which leverages trends among putatively identified features computational prediction conduct calibrations post-data without relying defined calibrants. We demonstrated utility proteomics application high-resolution structures lossless ion manipulations (SLIM)-based IMS-MS. first validated accuracy values set synthetic peptides then peptide sample cell lysate.

Язык: Английский

Процитировано

0

PeakQC: A Software Tool for Omics-Agnostic Automated Quality Control of Mass Spectrometry Data DOI

Andrea Harrison,

Josie Eder, Priscila M. Lalli

и другие.

Journal of the American Society for Mass Spectrometry, Год журнала: 2024, Номер 35(11), С. 2680 - 2689

Опубликована: Июль 16, 2024

Mass spectrometry is broadly employed to study complex molecular mechanisms in various biological and environmental fields, enabling 'omics' research such as proteomics, metabolomics, lipidomics. As cohorts grow larger more with dozens hundreds of samples, the need for robust quality control (QC) measures through automated software tools becomes paramount ensure integrity, high quality, validity scientific conclusions from downstream analyses minimize waste resources. Since existing QC are mostly dedicated solutions supporting metabolomics needed. To address this need, we developed PeakQC, a tool MS data that independent omics types (i.e., omics-agnostic). It allows extraction inspection peak metrics precursor ions (e.g., errors mass, retention time, arrival time) supports instrumentations acquisition types, infusion experiments or using liquid chromatography and/or ion mobility front-end separations with/without fragmentation spectra data-dependent analyses. Diagnostic plots also generated. Here, describe illustrate PeakQC's functionalities different representative sets, demonstrating its utility valuable enhancing reliability mass

Язык: Английский

Процитировано

0

Met4DX: A Unified and Versatile Data Processing Tool for Multidimensional Untargeted Metabolomics Data DOI
Yandong Yin,

Mingdu Luo,

Zheng‐Jiang Zhu

и другие.

Journal of the American Society for Mass Spectrometry, Год журнала: 2024, Номер unknown

Опубликована: Окт. 14, 2024

Liquid chromatography–mass spectrometry (LC–MS) is a powerful tool in untargeted metabolomics, enabling the high-sensitivity and high-specificity characterization of metabolites. The integration ion mobility (IM) with LC–MS, known as LC–IM–MS, enhances analytical depth, facilitating more comprehensive metabolite profiling. However, complexity data generated by these technologies presents significant challenges processing. Addressing challenges, we developed Met4DX, unified versatile software for processing both 3D 4D metabolomics data. Met4DX incorporates new MS1-oriented peak detection approach coupled our bottom-up assembly algorithm, highly sensitive Additionally, employs uniform quantification strategy to enhance precision across different samples. provides user-friendly interface that simplifies default parameter sets, consolidating detection, alignment, quantification, other procedures into single streamlined workflow. Together, offers solution multidimensional processing, transforming raw from diverse MS instruments final feature table containing identification results. We postulate facilitates discovery biological samples deciphering complex freely available on Internet (https://met4dx.zhulab.cn/).

Язык: Английский

Процитировано

0