Single‐Cell Profiling: Any Scale, Any Size, All at Once

Single-cell technologies have revolutionized the understanding of cellular heterogeneity, revealing distinct cell populations and functional states with molecular precision. Traditional approaches, however, are constrained by cellular dimension and throughput scale, in addition to its inability preserve spatial information. Recent innovations now allow high throughput, large-sized cell, and multi-modal profiling of patient samples, overcoming these limitations. In this perspective, three recently developed single-cell technologies is described, highlighting how their enhanced throughput, resolution, and sensitivity provide deeper insights into cellular identity and function.

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Publication Details

Journal
Advanced Science
Published
2025-11-28
DOI
https://doi.org/10.1002/advs.202518479
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

Single‐Cell Profiling: Any Scale, Any Size, All at Once

Felicia Wee, Rachel Elizabeth Ann Fincham, Denise Goh, Rong Li et al.
Advanced Science
Single-cell and spatial transcriptomics
article

Single‐Cell Profiling: Any Scale, Any Size, All at Once

Felicia Wee, Rachel Elizabeth Ann Fincham, Denise Goh, Rong Li, Joe Poh-Sheng Yeong
article en

Abstract

Single-cell technologies have revolutionized the understanding of cellular heterogeneity, revealing distinct cell populations and functional states with molecular precision. Traditional approaches, however, are constrained by cellular dimension and throughput scale, in addition to its inability preserve spatial information. Recent innovations now allow high throughput, large-sized cell, and multi-modal profiling of patient samples, overcoming these limitations. In this perspective, three recently developed single-cell technologies is described, highlighting how their enhanced throughput, resolution, and sensitivity provide deeper insights into cellular identity and function.

Advanced ScienceVol. 13(8)
Agency for Science, Technology and Research (SG), Singapore General Hospital (SG), Duke-NUS Medical School (SG), Institute of Molecular and Cell Biology (SG)
Medical Research Council, National Medical Research Council
Openalex Percentile: Top 66%
Single-cell and spatial transcriptomics
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Single‐Cell Profiling: Any Scale, Any Size, All at Once — Felicia Wee, Rachel Elizabeth Ann Fincham, et al. · Advanced Science (2025) | TGRS Research Map | TGRS