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Related Concept Videos

RNA-seq03:21

RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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Single-cell metabolome and RNA-seq multiplexing on single plant cells.

Moonyoung Kang1, Anh Hai Vu1, Abbie L Casper2

  • 1Department of Natural Product Biosynthesis, Max Planck Institute for Chemical Ecology, Jena 07745, Germany.

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Summary

Researchers developed a new method to measure gene expression and metabolite levels in the same plant cell. This breakthrough allows direct correlation of biosynthetic genes with natural product compounds in individual cells.

Keywords:
Catharanthus roseusplant natural productssingle-cell metabolomesingle-cell transcriptomesingle-cell-omics multiplexing

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Area of Science:

  • Plant biochemistry
  • Molecular biology
  • Genomics

Background:

  • Plants synthesize valuable natural products crucial for various industries.
  • Understanding plant biosynthetic pathways is of significant interest.
  • Gene-to-metabolite networks, derived from transcriptomic and metabolomic data, aid pathway identification.
  • Single-cell RNA sequencing (scRNA-seq) and single-cell mass spectrometry metabolomics (scMS) measure gene expression or metabolite levels individually.
  • Current methods only allow indirect correlation between gene expression and metabolite levels at the single-cell level.

Purpose of the Study:

  • To demonstrate the feasibility of applying both scRNA-seq and scMS to the same plant cell.
  • To enable direct comparison of gene expression and metabolite levels within individual cells.
  • To reveal correlations between metabolite concentrations and biosynthetic gene expression in single plant cells.

Main Methods:

  • Utilized protoplasts from *Catharanthus roseus* leaves.
  • Employed a microfluidics-based robot for sorting protoplasts into 96-well plates.
  • Developed lysis conditions compatible with both scMS and SMART-seq single-cell protocols.
  • Applied a multiplexing approach for simultaneous gene expression and metabolite analysis.

Main Results:

  • Successfully applied scRNA-seq and scMS to the same plant cell.
  • Enabled direct, single-cell level comparisons between gene expression and metabolite levels.
  • Revealed both qualitative and quantitative correlations between metabolite levels and biosynthetic gene expression.
  • Provided insights into the regulatory mechanisms of plant biosynthesis at the single-cell level.

Conclusions:

  • The integrated scRNA-seq and scMS approach is a powerful proof-of-concept for plant science.
  • This method facilitates a deeper understanding of complex plant biosynthetic pathways.
  • It opens new avenues for studying natural product formation in plants at an unprecedented resolution.