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Beyond gene expression: Single-cell transcriptomics at isoform resolution
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DOI：10.1016/j.tig.2026.05.013.png)
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Abstract
En 中文
Advances in single-cell RNA sequencing now enable full-length transcript isoform resolution through computational short-read reconstruction or direct long-read sequencing. Continuous improvements in sequencing platforms, experimental workflows, and computational methods are expanding the scale and capability of isoform-resolved single-cell RNA sequencing. Isoform-resolved single-cell RNA sequencing reveals transcriptomic complexity beyond gene-level expression, encompassing transcript isoforms, nucleotide-resolution variants in RNA, allele-specific expression and transcript structure, transposable element-derived transcripts, fusion transcripts, non-polyadenylated RNAs, RNA modifications, and immune repertoires. Emerging dimensions, such as spatial, multiomic, perturbation, population, and AI-driven analyses, are redefining the frontier of isoform-resolved single-cell biology.
Keywords:
single-cell RNA sequencing
long-read RNA sequencing
RNA-seq
transcriptomics
transcript isoform
alternative splicing
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