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Updated: Mar 9, 2026

Transcriptome Analysis of Single Cells

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

Single-cell transcriptomics of small microbial eukaryotes: limitations and potential.

Zhenfeng Liu¹, Sarah K Hu¹, Victoria Campbell¹

¹Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA.

The ISME Journal

|January 7, 2017

Summary

This summary is machine-generated.

Single-cell RNA sequencing shows lower transcript recovery in smaller microbial eukaryotes due to reduced mRNA levels. This highlights challenges for studying tiny protists using this powerful single-cell transcriptomics tool.

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Transcriptome Analysis of Single Cells

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Area of Science:

Microbiology
Molecular Biology
Genomics

Background:

Single-cell transcriptomics offers potential for studying microbial eukaryotes.
Previous studies focused on larger microbial eukaryotes (>50 μm).
Microbial eukaryotes range significantly in size, down to 1 μm.

Purpose of the Study:

To assess the feasibility of single-cell RNA sequencing (scRNA-seq) for smaller microbial eukaryotes.
To identify limitations of scRNA-seq in small protists.
To understand gene expression variability in small microbial eukaryotes.

Main Methods:

Application of scRNA-seq to two small protists (8 and 15 μm).
Comparison of transcript recovery and gene expression randomness with bulk RNA-seq.
Analysis of mRNA copy numbers in small versus larger organisms.

Main Results:

scRNA-seq yielded lower transcript recovery rates in smaller protists.
Higher randomness in observed gene expression levels was noted for smaller cells.
Lower mRNA copy numbers in smaller organisms were identified as the primary cause.

Conclusions:

Current scRNA-seq methods face limitations for studying small microbial eukaryotes (<15 μm).
Reduced mRNA abundance significantly impacts transcript recovery and data reliability.
Further methodological advancements are needed to overcome these challenges for small organism transcriptomics.