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2701 results

Full text 2026

SCITO-seq2: ultra-high-throughput single-cell transcriptome and epitope sequencing

Lee SH, Jin BY, Lee CR, et al.

We introduce SCITO-seq2, an enhanced successor to SCITO-seq that integrates probe-based RNA detection with the established ultra-high-throughput protein profiling. SCITO-seq2 achieves robust quantification of transcripts and surface proteins across more than 100,000 cells, with a …

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Single-Cell Transcriptomics
Full text 2026

Single-cell resolution of an open chromatin signature in persister tumor cells

Dumbrava MG, Mohammed Ismail W, Sandoval L, et al.

Cancer can recur when a subset of tumor cells, termed persister cells, survive therapy and re-enter the cell cycle. Through single-nucleus multi-omic profiling (single-nucleus RNA sequencing [snRNA-seq] and single-nucleus assay for transposase-accessible chromatin by sequencing …

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Transcriptomics
Full text 2026

Deciphering Cell-Type-Specific Transcriptional Regulation in Tomato Leaves Through Ensemble Machine Learning and Single-Cell Transcriptomics

Shen H, Liu W, Li Y, et al.

High-throughput single-cell RNA sequencing (scRNA-seq) has substantially advanced plant transcriptional landscapes. However, decoding cell-type-specific transcriptional regulation in non-model crops like tomato (<i>Solanum lycopersicum</i>) remains challenging. An integrated computational pipeline was applied using high-dimensional weighted gene …

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Transcriptomics
Full text 2025

Deciphering splicing heterogeneity at single-cell resolution by SCSES

Wen X, Lv X, Guo D, et al.

Alternative splicing (AS) plays a critical role in generating cellular transcriptomic heterogeneity. While single-cell RNA sequencing (scRNA-seq) has become a standard approach for exploring this heterogeneity, it remains challenging to accurately characterize splicing changes at …

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Transcriptomics
Full text 2025

Nicheformer: a foundation model for single-cell and spatial omics

Tejada-Lapuerta A, Schaar AC, Gutgesell R, et al.

Tissue makeup depends on the local cellular microenvironment. Spatial single-cell genomics enables scalable and unbiased interrogation of these interactions. Here we introduce Nicheformer, a transformer-based foundation model trained on both human and mouse dissociated single-cell …

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Single-Cell Transcriptomics
Full text 2026

Single-cell profiling reveals hepatic monocyte-derived macrophages heterogeneity during steatotic liver disease

Xu H, Yang L, Fang P, et al.

<h4>Background</h4>Monocyte-derived macrophages (MoMFs) play key roles in liver inflammation and fibrogenesis, with their heterogeneity affecting metabolic dysfunction-associated steatotic liver disease (MASLD) progression. However, current therapeutic strategies targeting macrophage-mediated inflammation have shown limited clinical efficacy in …

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Single-Cell Transcriptomics