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Full text 2026

Unraveling the Molecular Mechanisms of Glioma Recurrence: A Study Integrating Single-Cell and Spatial Transcriptomics

Qiu L, Fei Y, Ding J, et al.

<h4>Objective</h4>Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks. Single-cell combined spatial transcriptomics …

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Transcriptomics
Full text 2026

Clonal reshaping and clinical outcomes after rechallenge in ICI-associated myocarditis: integrated single-cell and TCR repertoire analysis

Zhang J, He X, Zhang Y, et al.

<h4>Background</h4>Immune checkpoint inhibitor-associated myocarditis (ICIAM) poses significant challenges for cancer immunotherapy, particularly regarding the safety and efficacy of immune checkpoint blockade (ICB) rechallenge.<h4>Methods</h4>The present study analyzed 23 cases of ICIAM by integrating longitudinal clinical data …

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Single-Cell Transcriptomics
Full text 2026

Single cell transcriptional perturbome in pluripotent stem cell models

Balmas E, Ratto ML, Snijders KE, et al.

Functional genomics screens in human induced pluripotent stem cells (hiPSCs) remain challenging despite their transformative potential. We developed iPS2-seq: an inducible, clone-aware screening platform that enables phenotype-agnostic, single-cell resolved dissection of loss-of-function effects in hiPSC …

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Single-Cell Transcriptomics
Full text 2026

SCSEQ: A web tool for analyzing single-cell RNA-seq data

Du S, Sun P, Shen L, et al.

<h4>Background</h4>Single-cell RNA sequencing has emerged as a powerful approach to reveal cellular heterogeneity within biological systems. With the continuous advancement of high-throughput sequencing technologies, studies are generating vast amounts of complex data, posing a significant …

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Transcriptomics
Full text 2026

Interactive analysis of single-cell trajectories in 3D space with Cell Journey

Panas D, Tabaka M.

The integration of high-throughput single-cell profiling technologies with RNA velocity analysis has enabled the reconstruction of dynamic cellular differentiation trajectories at unprecedented resolution. Despite these advances, current visualization techniques for RNA velocity are predominantly confined …

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Single-Cell