Discrimination of Microalgal Cellular Metabolic Heterogeneity and <sup>13</sup>C Metabolic Flux Analysis via Micro Label-Free Mass Cytometry

Microalgae play a crucial role in geological processes on Earth, including carbon and nitrogen cycling and oxygen production. Microalgae are mostly unicellular organisms that exhibit considerable phenotypic diversity in response to environmental changes. Emerging methods for single-cell metabolite analysis offer new avenues for exploring microalgae-environmental interactions. Among these, label-free mass cytometry (CyESI-MS) has enabled high-throughput metabolite detection in both animal and microalgal cells. However, sensitivity challenges persist. In this paper, a novel MicroCyESI-MS system that replaces the pneumatic electrospray system of CyESI with a microspray device is proposed. This replacement resulted in a 10-fold increase in sensitivity and significantly reduced sample consumption while simplifying the apparatus. In addition, this advancement allowed for the detection of hundreds of metabolites from individual <i>Chlamydomonas reinhardtii</i> cells (7-10 μm in diameter) as well as <i>Microcystis aeruginosa</i> (1-3 μm in diameter). The strong light-induced differentiation of subtypes in <i>Haematococcus pluvialis</i> was also revealed by this technique. Moreover, through the integration of a <sup>13</sup>C stable isotope probe, MicroCyESI-MS demonstrated the capacity to detect <sup>13</sup>C metabolic flux in single microalgal cells, highlighting its potential for investigating microbial carbon sequestration mechanisms.

Authors

Institutions

Publication Details

Journal
Analytical Chemistry
Published
2025-08-14
DOI
https://doi.org/10.1021/acs.analchem.5c03905
Citations
1
Primary Topic
Algal biology and biofuel production
Type
article
Field-Weighted Citation Impact
0.36
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Discrimination of Microalgal Cellular Metabolic Heterogeneity and 13C Metabolic Flux Analysis via Micro Label-Free Mass Cytometry

Yang Yi, Shiji Xue, Liang Shi, Hetian Jia et al.
1 citations
Analytical Chemistry
Algal biology and biofuel production
0.36
article

Discrimination of Microalgal Cellular Metabolic Heterogeneity and 13C Metabolic Flux Analysis via Micro Label-Free Mass Cytometry

Yang Yi, Shiji Xue, Liang Shi, Hetian Jia, Wei Guo, Yue’e Peng, Yu Qiao, Zijie Zhang
article en
1 citations

Abstract

Microalgae play a crucial role in geological processes on Earth, including carbon and nitrogen cycling and oxygen production. Microalgae are mostly unicellular organisms that exhibit considerable phenotypic diversity in response to environmental changes. Emerging methods for single-cell metabolite analysis offer new avenues for exploring microalgae-environmental interactions. Among these, label-free mass cytometry (CyESI-MS) has enabled high-throughput metabolite detection in both animal and microalgal cells. However, sensitivity challenges persist. In this paper, a novel MicroCyESI-MS system that replaces the pneumatic electrospray system of CyESI with a microspray device is proposed. This replacement resulted in a 10-fold increase in sensitivity and significantly reduced sample consumption while simplifying the apparatus. In addition, this advancement allowed for the detection of hundreds of metabolites from individual <i>Chlamydomonas reinhardtii</i> cells (7-10 μm in diameter) as well as <i>Microcystis aeruginosa</i> (1-3 μm in diameter). The strong light-induced differentiation of subtypes in <i>Haematococcus pluvialis</i> was also revealed by this technique. Moreover, through the integration of a <sup>13</sup>C stable isotope probe, MicroCyESI-MS demonstrated the capacity to detect <sup>13</sup>C metabolic flux in single microalgal cells, highlighting its potential for investigating microbial carbon sequestration mechanisms.

Analytical ChemistryVol. 97(33)
China University of Geosciences (CN), College of Marin (US)
Openalex Percentile: Top 40%
Algal biology and biofuel production
0.36
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.