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Updated: May 5, 2026
10:22
Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq
Published on: October 31, 2025
921
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
Summary
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.
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.
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