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Related Concept Videos

RNA-seq03:21

RNA-seq

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 microarray-based...
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Related Experiment Video

Updated: May 26, 2026

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells
08:30

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Published on: January 7, 2020

BARseq3: a modular system for integrating spatial multi-omics and cellular barcoding in single cells.

Huihui Qi1, Manjari M-G Anant2,3,4, Dylan Z Faltine-Gonzalez1

  • 1Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.

Biorxiv : the Preprint Server for Biology
|May 25, 2026
PubMed
Summary
This summary is machine-generated.

BARseq3 integrates cellular barcoding with spatial transcriptomics and translatomics for a comprehensive view of single-cell identity. This modular system offers high efficiency and flexibility for multimodal analysis in tissues.

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Last Updated: May 26, 2026

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Area of Science:

  • Single-cell biology
  • Molecular biology
  • Genomics

Background:

  • Understanding cellular identity necessitates multimodal measurements at the single-cell level.
  • Cellular barcoding and spatial omics are key technologies, but integrating them is challenging.
  • Current methods lack flexibility, efficiency, and support for diverse modalities.

Purpose of the Study:

  • To develop a modular system integrating cellular barcoding with spatial transcriptomics and translatomics.
  • To achieve high-efficiency molecular measurements at subcellular resolution within tissues.
  • To enable a multimodal understanding of cellular identity in various biological contexts.

Main Methods:

  • Introduction of BARseq3, a novel modular system.
  • Combination of cellular barcoding with spatial transcriptomics and translatomics.
  • Application to fixed samples, supporting immunostaining and diverse species.

Main Results:

  • BARseq3 achieves high-efficiency spatial transcriptomics and translatomics at subcellular resolution.
  • The system demonstrates compatibility with fixed samples and immunostaining.
  • BARseq3 is easily extensible to incorporate additional spatial assays.

Conclusions:

  • BARseq3 provides a flexible and efficient platform for multimodal single-cell analysis.
  • This technology advances the understanding of cellular identity through integrated molecular profiling.
  • BARseq3 opens new avenues for spatial multi-omics research in diverse biological samples.