ReviewAdvances in experimental medicine and biology2026
Advances in Massive Parallel Sequencing: From Genomics to Spatial Transcriptomics.
Review in Advances in experimental medicine and biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
Identifiers
42071139What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.