🧬 Category

q-bio

5841 papers

🧬 biology

Tissue composition quantitatively reproduces bulk transcriptomic differences between paired primary gastric tumours and solid peritoneal metastases

This study demonstrates that quantitative differences in tissue composition, specifically a reduction in epithelial content, fully account for the bulk transcriptomic contrasts observed between primary gastric tumors and their peritoneal metastases, indicating that claims of cancer cell state changes from such bulk comparisons require cell-resolved validation.

Chao Huang, Qin Yu, Zheng-Ming Zhu, Yinfei Kong2026-10-27
🧬 biology

Meiosis I and II share chromosome segregation dynamics distinct from mitosis in the firebug Pyrrhocoris apterus

Using quantitative live-cell imaging in the firebug *Pyrrhocoris apterus*, this study reveals that while meiosis I and II share remarkably similar chromosome segregation dynamics distinct from mitosis, the two meiotic divisions are characterized by faster speeds and a reliance on poleward chromosome movement, whereas mitosis proceeds more slowly and depends primarily on spindle elongation.

Alexander Lindner, Gunar Fabig, Chukwuebuka William Okafornta, Silke Tulok, Anja Nobst, Vlastimil Smýkal, David Doležel (…)2026-10-27
🧬 biology

Integrated single cell and bulk transcriptomic analysis reveals disulfidptosis related malignant epithelial states associated with prognosis in gastric cancer

This study integrates single-cell and bulk transcriptomic analyses to identify disulfidptosis-related malignant epithelial states in gastric cancer, establishing a six-gene signature that robustly predicts patient prognosis and reveals distinct tumor microenvironment characteristics.

Zhao He, Shuang Li, Jirui Gu, Jiahui Liu, Xu Huang, Jiaping Jing, Qi Sun, Miao Wei, Jue Wang, Dongdong Fan, Zhiping Chen (…)2026-10-27
🧬 biology

An Ensemble Deep Learning Framework for Single-Cell Phenotypic Profiling of Escherichia coli under Antibiotic Stress

This study presents an ensemble deep learning framework that combines multiple architectures to achieve 94% accuracy in classifying *Escherichia coli* responses to various antibiotics and identifying distinct single-cell morphological phenotypes, thereby advancing automated antimicrobial resistance profiling and screening.

Afroza Rahman, K. Miraz Rahman, Seyed Ali Ghorashi, Md Atiqur Rahman Ahad2026-10-27
🧬 biology

The Syncytial Mesh Model: glial spatial control, neuronal response geometry, and the limits of local EEG reduction

The Syncytial Mesh Model proposes that astroglial coupling creates a distinct spatial control geometry that significantly modulates neuronal response patterns through potassium-mediated transport, though its specific predictions are constrained by EEG analyses that omitted these spatial transport mechanisms in favor of local ionic filters.

Andreu Ballús Santacana2026-10-27
🧬 biology

NMR metabolome and stool consistency in IBS: a layer-wise multi-omics comparison

This study demonstrates that in predicting stool consistency for IBS, the NMR metabolome outperforms taxonomic and functional gene layers in within-cohort regression, while a data-driven, five-metabolite core (lysine, tyrosine, uracil, glucose, leucine) achieves robust cross-cohort generalization, though Mendelian randomization fails to confirm causal links between candidate genera and IBS risk.

Yi Sui2026-10-27
🧬 biology

Regional Heterogeneity of Sensorimotor BOLD Lateralization During Unilateral Hand Movement

This study demonstrates that sensorimotor BOLD lateralization during unilateral hand movement exhibits significant regional heterogeneity, with primary motor and somatosensory areas showing the strongest contralateral dominance, intermediate effects in the dorsal premotor cortex, and near-zero lateralization in the ventral premotor cortex, a pattern confirmed across both CoSpine and Human Connectome Project cohorts.

Xu Chang, Hongyu Zhou, Qingyun Wang, Zixiao Li, Yongjun Wang2026-10-27
🧬 biology

The relationship between immunological age determined by Immune Age Index (IMMAX) and response to vaccination against SARS-CoV-2

This study demonstrates that the Immune Age Index (IMMAX) is a superior biomarker to chronological age for predicting SARS-CoV-2 vaccine response, as it effectively captures individual variations in immune competence, including sex-based advantages and the enhanced immunity observed in professional firefighters.

Maren Claus, Peter Bröde, Doris Urlaub, Natalie Wolfsdorff, Carsten Watzl2026-10-27