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Related Experiment Video

Updated: Aug 23, 2025

Transcriptome Analysis of Single Cells

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

Single-cell temporal transcriptomics from tiny cytoplasmic biopsies.

Robert Horvath¹

¹Nanobiosensorics Laboratory, ELKH EK MFA, Budapest, Hungary.

Cell Reports Methods

|October 31, 2022

Summary

This summary is machine-generated.

Researchers developed Live-seq, a novel method for single-cell transcriptomic profiling. This technique allows for temporal analysis by taking small cytoplasmic biopsies, leaving cells viable for further study.

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A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

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Last Updated: Aug 23, 2025

Transcriptome Analysis of Single Cells

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

Area of Science:

Molecular Biology
Genomics
Cell Biology

Background:

Traditional single-cell RNA sequencing (scRNA-seq) involves complete cell lysis, preventing further analysis of the same cell.
There is a need for methods that allow for repeated or temporal measurements from individual cells.

Purpose of the Study:

To introduce Live-seq, a new single-cell transcriptomic profiling technique.
To enable temporal analysis of cellular states using non-destructive sampling.

Main Methods:

Live-seq utilizes picoliter-scale cytoplasmic biopsies, extracting RNA without lysing the cell.
The method ensures rapid cell recovery and minimal impact on cell viability post-biopsy.

Main Results:

Cells subjected to Live-seq can recover and remain largely unaffected.
This enables the transformation of scRNA-seq from an endpoint assay to a temporal analysis platform.

Conclusions:

Live-seq offers a groundbreaking approach for longitudinal studies at the single-cell level.
The technique opens new avenues for understanding dynamic cellular processes and responses over time.