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Full text 2026

Dysregulated landscape of RNA-binding proteins in unexplained recurrent spontaneous abortion revealed by bulk and single-cell transcriptome

Zhu Y, Chen D, Xu B, et al.

In recurrent spontaneous abortion (RSA), impaired decidualization due to decidual stromal cell (DS) apoptosis or pyroptosis disrupts pregnancy maintenance. RNA-binding proteins (RBPs) are crucial regulators of gene expression in reproductive disorders. However, the comprehensive profile …

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Transcriptomics
Full text 2026

Bone Marrow Failure Model Mimics Aplastic Anemia Patients: Single-Cell Landscape of Immune Response Reveals Novel Mechanisms of Immune Imbalance in AA

Tan S, Fang F, Sun J, et al.

<h4>Background</h4>The pathogenesis of HSPCs impairment in aplastic anemia (AA) remains unclear. We focused on CD8<sup>+</sup> T cells and investigated platelets, CD4<sup>+</sup> T cells, macrophages, and mitochondrial energy metabolism, aiming to elucidate the cellular atlas changes …

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Single-Cell
Full text 2026

First-in-human single-cell and TCR atlas reveals peripheral immune remodeling before and after irreversible electroporation in prostate cancer

Xiang JC, Xia ZY, Sun JX, et al.

<h4>Background</h4>Prostate cancer (PCa) is the second most common malignancy in men worldwide. Although radical prostatectomy effectively controls tumor progression, it often causes complications such as urinary incontinence and sexual dysfunction. Irreversible electroporation (IRE), a non-thermal …

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Single-Cell
Full text 2026

Decoding the role of polyamine metabolism in lung adenocarcinoma prognosis: A triangulated approach combining transcriptome, single-cell and Mendelian randomization analyses

Yang H, Zhang L, Chen J, et al.

The progression of lung adenocarcinoma (LUAD) is influenced by polyamine metabolism, which modulates antitumor immunity, although the underlying mechanisms remain unclear. The present study investigates the role of polyamine metabolism-related genes (PMRGs) in LUAD using …

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Transcriptomics
Full text 2025

Statistically principled feature selection for single cell transcriptomics

Dollinger EP, Silkwood K, Atwood S, et al.

<h4>Background</h4>The high dimensionality of data in single cell transcriptomics (scRNAseq) requires investigators to choose subsets of genes ("feature selection") for downstream analysis (e.g., unsupervised cell clustering). The evaluation of different approaches to feature selection is …

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Single-Cell Transcriptomics