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Related Experiment Video

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High-Throughput f-LAESI-IMS-MS for Mapping Biological Nitrogen Fixation One Cell at a Time.

Marjan Dolatmoradi1, Sylwia A Stopka1,2, Chloe Corning1

  • 1Department of Chemistry, The George Washington University, Washington, District of Columbia 20052, United States.

Analytical Chemistry
|November 21, 2023
PubMed
Summary

This study introduces a new method for analyzing single cells in soybean root nodules. Using a high-throughput platform combining laser ablation, ion mobility, and mass spectrometry, researchers sampled over 500 cells per hour. The system detected more molecular features per cell than previous methods. It also separated complex molecules that were previously indistinguishable. The findings revealed two types of metabolic diversity in the cells. One type showed random variation within cells, while the other indicated distinct cell subgroups. These subgroups may represent different stages of nitrogen-fixing bacteria in plant cells. The improved system could help scientists better understand how plants and bacteria work together to fix nitrogen.

Keywords:
single-cell metabolomicsion mobility separationbiological nitrogen fixationmass spectrometry applications

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Area of Science:

  • Plant metabolomics
  • Single-cell analysis in biology
  • Mass spectrometry applications in botany

Background:

Single-cell metabolomics is essential for understanding cellular diversity. Prior methods lacked throughput for large cell populations. Established techniques provided limited data per cell. Sampling rates were too low for comprehensive analysis. Metabolic heterogeneity in plant nodules remained poorly characterized. Structural isomers were not resolved effectively. Noise in data limited interpretation of cell states. This gap motivated the development of faster, more precise platforms.

Purpose Of The Study:

The study aimed to enhance single-cell metabolomics in soybean root nodules. A high-throughput platform was needed to analyze large cell numbers. The goal was to improve sampling speed and molecular resolution. Structural isomer separation was a key objective. The platform needed to detect latent cellular phenotypes. Metabolic heterogeneity was to be mapped at the single-cell level. The system had to distinguish between cell states. The study sought to advance biological nitrogen fixation research.

Main Methods:

The team used fiber-based laser ablation electrospray ionization (f-LAESI). This method was coupled with ion mobility separation (IMS) and mass spectrometry (MS). An automated sampling platform was implemented for in situ analysis. The system targeted soybean root nodule cells for sampling. The setup allowed high-throughput single-cell metabolomics. Structural isomers were separated using IMS. The sampling rate was optimized for efficiency. The platform enabled detection of metabolite abundance variations.

Main Results:

The system achieved a sampling rate of 804 cells per hour. This was 13 times faster than the previous f-LAESI-MS setup. The upgraded system detected 259 sample-related peaks per cell. Without IMS, only 131 peaks per cell were detected. Structural isomers were resolved on a millisecond time scale. Two types of metabolic heterogeneity were identified. Unimodal distributions reflected metabolic noise within cells. Bimodal distributions indicated distinct subpopulations of cells.

Conclusions:

The enhanced platform improved single-cell metabolomics in plant nodules. The system enabled high-throughput analysis of large cell populations. Structural isomer separation was achieved using IMS. Metabolic heterogeneity was mapped at the single-cell level. Two types of heterogeneity were identified in the data. Unimodal distributions indicated noise within cell populations. Bimodal distributions suggested distinct subpopulations. The findings could be linked to different cell states in nitrogen fixation.

The platform achieved a sampling rate of 804 cells/h and detected 259 peaks per cell, twice as many as without IMS.

IMS resolved structural isomers on a millisecond time scale, increasing molecular coverage.

A high rate allows analysis of hundreds of cells, capturing metabolic heterogeneity across large populations.

It indicates the presence of metabolically distinct subpopulations within the cell population.

259 peaks per cell with IMS versus 131 peaks per cell without IMS.

They may represent proliferating bacteria or quiescent bacteroids in nitrogen fixation processes.