HT SpaceM: A High-Throughput and Reproducible Method for Small-Molecule Single-Cell Metabolomics DOI Creative Commons
Jeany Delafiori,

Mohammed Shahraz,

Andreas Eisenbarth

и другие.

Опубликована: Окт. 25, 2024

Summary Single-cell metabolomics promises to resolve metabolic cellular heterogeneity, yet current methods struggle with detecting small molecules, throughput, and reproducibility. Addressing these gaps, we developed HT SpaceM, a high-throughput single-cell method novel cell preparation, custom glass slides, small-molecule MALDI imaging mass spectrometry protocol, batch processing. We propose unified framework covering essential data analysis steps including quality control, characterization, differential analysis, structural validation functional analysis. Interrogating human HeLa mouse NIH3T3 cells, detected 73 diverse metabolites validated by bulk LC-MS/MS, achieving high reproducibility across wells slides. nine NCI-60 cancer cells HeLa, identified cell-type markers in subpopulations. Functional revealed overrepresented pathways, co-abundant metabolites, hubs. demonstrate the ability of SCM analyze over 120,000 from 112 samples, provide guidance interpret revealing insights beyond population averages.

Язык: Английский

A Tandem Cytometry Platform for Single-Cell Analysis of Protein and Metabolites DOI

Murong Du,

Xingyu Pan,

Yamei Peng

и другие.

Analytical Chemistry, Год журнала: 2025, Номер unknown

Опубликована: Март 25, 2025

Multiomics analysis at the single-cell level is essential for both fundamental research and clinical applications, with proteomics metabolomics being particularly crucial providing insights into cellular states functions. The state of art flow cytometry has shown great potential in identifying proteins, while emerging metabolite mass spectrometry techniques address detection. Herein, we propose a tandem platform that integrates fluorescence electrospray ionization one-step protein metabolites. An algorithm was established to correlate multidimensional information individual cells, additional data processing modules designed ensure accuracy facilitate further analysis. demonstrated efficacy profiling breast cancer under hypoxic conditions, revealing metabolic shifts decreased glutathione increased l-glutamine levels, indicative hypoxia-inducible factor activity. This introduces powerful analytical capability promises elevate precision cell-based diagnostics therapeutic strategies.

Язык: Английский

Процитировано

0

Recent advances in single-cell metabolomics using mass spectrometry: emerging challenges and future perspectives DOI
Rafiqul Alam, Jung‐Hyun Lee, Dasom Shin

и другие.

Applied Spectroscopy Reviews, Год журнала: 2025, Номер unknown, С. 1 - 37

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

MMEASE: enhanced analytical workflow for single-cell metabolomics DOI Creative Commons
Qingxia Yang, Yuntao Dai, Shijie Huang

и другие.

Nucleic Acids Research, Год журнала: 2025, Номер unknown

Опубликована: Май 1, 2025

Metabolomics is essential for providing an overview of what chemical processes are taking place. A clear shift from bulk metabolomics to single-cell (SCM) observed in current research, and integral workflow enabling the analysis SCM data therefore great demand. However, no such has been available date. Herein, MMEASE, previously designed analyzing metabolomic data, was updated its 2.0 version by developing first comprehensive in-depth data. First, it provided all sequential steps modern research (from processing, cellular heterogeneity analysis, then high-resolution metabolite annotation, finally cell-based biological interpretation). Second, compared with existing tools, MMEASE superior incorporating widest variety methods at every step analyses. The originality functionality our were extensively validated explicitly described case studies on benchmark All all, unique accomplishing analyses which could be considered as indispensable complement tools. Now, latest freely accessible users at: https://idrblab.org/mmease/.

Язык: Английский

Процитировано

0

HT SpaceM: A High-Throughput and Reproducible Method for Small-Molecule Single-Cell Metabolomics DOI Creative Commons
Jeany Delafiori,

Mohammed Shahraz,

Andreas Eisenbarth

и другие.

Опубликована: Окт. 25, 2024

Summary Single-cell metabolomics promises to resolve metabolic cellular heterogeneity, yet current methods struggle with detecting small molecules, throughput, and reproducibility. Addressing these gaps, we developed HT SpaceM, a high-throughput single-cell method novel cell preparation, custom glass slides, small-molecule MALDI imaging mass spectrometry protocol, batch processing. We propose unified framework covering essential data analysis steps including quality control, characterization, differential analysis, structural validation functional analysis. Interrogating human HeLa mouse NIH3T3 cells, detected 73 diverse metabolites validated by bulk LC-MS/MS, achieving high reproducibility across wells slides. nine NCI-60 cancer cells HeLa, identified cell-type markers in subpopulations. Functional revealed overrepresented pathways, co-abundant metabolites, hubs. demonstrate the ability of SCM analyze over 120,000 from 112 samples, provide guidance interpret revealing insights beyond population averages.

Язык: Английский

Процитировано

1