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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 20, 2026

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples
08:18

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples

Published on: April 7, 2023

Spatially tunable multiomic sequencing using light-driven combinatorial barcoding of molecules in tissues.

Giorgia Battistoni1, Sito Torres-Garcia1, Chee Ying Sia1

  • 1Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, United Kingdom.

Proceedings of the National Academy of Sciences of the United States of America
|May 18, 2026
PubMed
Summary
This summary is machine-generated.

A new spatial profiling method, Barcoding by Activated Linkage of Indexes (BALI), uses light to map molecular data in tissues. BALI offers high resolution and throughput for multiomic analysis, overcoming previous technological trade-offs.

Keywords:
RNA expressionchromatin accessibilityspatial profiling

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Last Updated: May 20, 2026

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Area of Science:

  • Molecular Biology
  • Genomics
  • Spatial Biology

Background:

  • Understanding cellular interactions requires mapping molecular identities within spatial contexts.
  • Existing spatial profiling methods face limitations in resolution, depth, and scalability.
  • There is a need for advanced techniques to enable high-resolution, multiomic spatial profiling.

Purpose of the Study:

  • To introduce Barcoding by Activated Linkage of Indexes (BALI), a novel in situ spatial multiomic profiling method.
  • To demonstrate BALI's capability for tunable spatial resolution and high-throughput analysis.
  • To validate BALI's performance using transcriptomic and epigenomic profiling in mouse brain tissues.

Main Methods:

  • BALI utilizes light-activated combinatorial molecular barcodes written directly onto target molecules in situ.
  • The method allows user-defined spatial locations, offering potential for millions of distinct regions with subcellular precision.
  • An automated instrument was developed for high-throughput barcode writing on tissue sections.

Main Results:

  • BALI successfully captured transcriptomic and/or chromatin accessibility data from distinct regions of mouse brain tissue sections.
  • Profiling results showed strong concordance with existing public datasets.
  • The method demonstrated high spatial resolution, high throughput, and compatibility with standard histology.

Conclusions:

  • BALI provides a versatile platform for tunable spatial multiomic profiling.
  • The technology overcomes key trade-offs in current spatial profiling methods.
  • BALI enhances the ability to study complex tissue architectures and cellular neighborhoods.