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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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An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing
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Droplet-based high-throughput single microbe RNA sequencing by smRandom-seq.

Ziye Xu1,2, Yuting Wang2,3, Kuanwei Sheng4,5

  • 1Department of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Nature Communications
|August 23, 2023
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Summary
This summary is machine-generated.

We developed a new single-microbe RNA sequencing (smRandom-seq) method to reveal individual bacterial gene expression. This technique uncovers antibiotic resistance mechanisms and microbial population dynamics.

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Area of Science:

  • Microbiology
  • Genomics
  • Molecular Biology

Background:

  • Bacteria inhabit diverse environments, including the human body, with significant individual variations.
  • Population-level transcriptomics masks crucial heterogeneity within bacterial communities.
  • Understanding single-bacterial gene expression is vital for fields like antimicrobial resistance and microbiome research.

Purpose of the Study:

  • To develop a high-throughput, droplet-based assay for single-microbe RNA sequencing (smRandom-seq).
  • To enable detailed analysis of transcriptome heterogeneity in bacterial populations.
  • To identify specific gene expression patterns associated with microbial traits like antibiotic resistance.

Main Methods:

  • Droplet-based microfluidics for single-microbe encapsulation and barcoding.
  • Random primers for in situ cDNA synthesis within droplets.
  • CRISPR-based ribosomal RNA (rRNA) depletion for enhanced mRNA enrichment.
  • High-throughput single-microbe RNA sequencing (smRandom-seq) analysis.

Main Results:

  • smRandom-seq demonstrated high species specificity (>99%) and a low doublet rate (1.6%).
  • The method achieved reduced rRNA contamination (32%) and sensitive gene detection (median ~1000 genes/E. coli).
  • Transcriptome analysis of individual E. coli revealed distinct subpopulations with unique SOS response and metabolic pathway gene expression under antibiotic stress.

Conclusions:

  • smRandom-seq is a powerful tool for high-throughput single-microbe transcriptome profiling.
  • This technology facilitates the study of microbial resistance, persistence, and microbe-host interactions.
  • The findings open new avenues for microbiome research by dissecting population heterogeneity.