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  1. Home
  3. Advances In Massive Parallel Sequencing: From Genomics To Spatial Transcriptomics.
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  3. Advances In Massive Parallel Sequencing: From Genomics To Spatial Transcriptomics.

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Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq
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Advances in Massive Parallel Sequencing: From Genomics to Spatial Transcriptomics.

Tomás Araújo1,2, Margarida Gama-Carvalho3,4

  • 1Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal.

Advances in Experimental Medicine and Biology
|May 3, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

Nucleic acid sequencing technologies have evolved from Sanger sequencing to next-generation and single-cell methods. These advances enable high-throughput, cost-effective analysis of genome structure, gene regulation, and cellular heterogeneity.

Keywords:
Library preparationMassive parallel sequencingNext-generation sequencing (NGS)Single-cell RNA-seq (scRNA-seq)Spatial transcriptomics

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Area of Science:

  • Genomics and Molecular Biology
  • Biotechnology

Background:

  • Nucleic acid sequencing has revolutionized biological research and biotechnology.
  • Systematic analysis of genome structure, gene regulation, and cellular heterogeneity is now possible.
  • Technological advancements have driven significant transformation in the field.

Purpose of the Study:

  • To review major technological advances in nucleic acid sequencing.
  • To trace the historical development from Sanger sequencing to modern high-throughput methods.
  • To discuss the progression towards single-cell and spatial transcriptomics.

Main Methods:

  • Historical review of sequencing technologies.
  • Examination of Sanger sequencing and its impact.
  • Analysis of next-generation sequencing innovations (massive parallelization, clonal amplification, cyclic chemistries).
  • Discussion of single-cell and spatial transcriptomics.

    • Main Results:

    • Sanger sequencing enabled early genome-scale analyses.
    • Next-generation sequencing achieved high-throughput and cost-effectiveness.
    • Single-cell and spatial transcriptomics provide cellular and tissue-level resolution.
    • Sequencing platforms have evolved to multimodal, high-resolution systems.

    Conclusions:

    • Technological progress has transformed sequencing from linear workflows to comprehensive interrogation platforms.
    • Modern sequencing enables detailed analysis of biological systems at various resolutions.
    • These advancements are crucial for understanding genome structure, gene regulation, and cellular heterogeneity.