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May 6, 20260 citations

Advances in Massive Parallel Sequencing: From Genomics to Spatial Transcriptomics.

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TATomas AraujoMGMargarida Gama-Carvalho

Key Points

  • This chapter reviews advancements in massive parallel sequencing technologies and their applications in genomics.
  • Examined historical development of Sanger sequencing
  • Analyzed the emergence of next-generation sequencing
  • Highlighted innovations in sequencing technologies
  • Discussed shift to single-cell and spatial transcriptomics
  • Sanger sequencing established the foundation for genome-scale analyses
  • Next-generation sequencing enhanced throughput and cost-effectiveness
  • Single-cell transcriptomics allows resolution of individual cells
  • Spatial transcriptomics provides context of cells within tissue environments

Abstract

The ability to decode nucleic acids has reshaped biological research and biotechnology, enabling systematic analysis of genome structure, gene regulation, and cellular heterogeneity. This chapter reviews the major technological advances that have driven this transformation. We begin with the historical development of Sanger sequencing and its role in establishing the first genome-scale analyses. We then examine the emergence of next-generation sequencing, highlighting the conceptual innovations-massive parallelization, clonal amplification, and cyclic detection chemistries-that enabled high-throughput, cost-effective sequencing. Building on these foundations, we discuss the shift toward single-cell and spatial transcriptomics, which extend sequencing from bulk measurements to the resolution of individual cells and their tissue contexts. Together, these developments illustrate how sequencing technologies have progressed from early linear workflows to multimodal, high-resolution platforms that now support comprehensive interrogation of biological systems.

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Araujo et al. (2026) studied this question.

synapsesocial.com/papers/69fa8e6404f884e66b530a2fhttps://doi.org/10.1007/978-3-032-18966-0_3
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