q-bio papers | Gist.Science

Genomic and ecological specialization of Methanobrevibacter species shape human methane emission and overall gut ecosystem function

By integrating multi-omics data from 80 individuals, this study reveals that human methane emission is driven not just by methanogen abundance but by the presence of distinct *Methanobrevibacter* species with varying metabolic capabilities, where a streamlined, newly identified lineage (*Candidatus Methanobrevibacter hominipaucus*) characterizes low-emission individuals and correlates with reduced overall gut microbial activity.

Christine Moissl-Eichinger, Christina Kumpitsch, Alexander Mahnert, Stefanie Duller, Marcus Blohs, Rokhsareh Mohammadzad (…)2026-11-02

🧬 biology

Cross Study Bulk RNA Sequencing Analysis of Vascular Associated States in Engineered Vascular Systems

This study performs a cross-dataset bulk RNA sequencing analysis of engineered vascular systems, demonstrating that vascularization conditions, culture duration, dimensionality, and flow induce distinct transcriptomic states across endothelial, mural, and stress-response modules, thereby supporting a multi-dimensional framework for assessing vascular maturity beyond simple vessel formation.

Jianhua Zhang2026-11-02

🧬 biology

Reversible m6Am methylation of snRNA by FTO controls morphine reward and tolerance without altering analgesia

This study demonstrates that the RNA demethylase FTO controls morphine-induced reward and tolerance through reversible m6Am methylation of snRNA in a region-specific manner, without affecting analgesia, suggesting that FTO inhibition could serve as a promising adjuvant for opioid therapy to mitigate addiction and tolerance while preserving pain relief.

Ying-Xian Pan, Shan Liu, Ayma Malik, Raymond Chien, Jianheng Liu, Luke Nicholson, Jin Xu, Kimia Didehvar, Vipin Rai, Val (…)2026-11-02

🧬 biology

Cycle-phase supervision improves transferable physiological representations from wearable data for women's health

The paper introduces CHARM, a framework that leverages menstrual cycle phase supervision alongside signal reconstruction to learn transferable physiological representations from wearable data, enabling accurate generalization to diverse reproductive states like perimenopause and menopause with significantly fewer labels.

Rocio Mexia Diaz, Faraaz Akhtar, Cameron Crawford, Alistair Brownlee, Kyriakos Eleftheriou2026-11-02

🧬 biology

spAlignDE unifies cross-sample and cross-modal spatial alignment with mismatch-aware differential expression

spAlignDE is a computational framework that unifies cross-sample and cross-modal spatial alignment using image-like continuous fields and shooting-based diffeomorphic registration, while introducing a mismatch-aware differential expression test to reduce false signals caused by imperfect alignment.

Dongyuan Song, Su Xu, Yu Wang, Lingzhen Meng, Aarya Dalal, Yuxin Yin2026-11-02

🧬 biology

Regional and Hormone-Associated Adaptations of Tissue-Resident Memory T cells across the Human Female Reproductive Tract.

This study characterizes the regional and hormone-dependent adaptations of tissue-resident memory T cells across the human female reproductive tract, revealing distinct phenotypic and transcriptional profiles shaped by anatomical location and hormonal cues such as progesterone and testosterone.

Alison Kohlmeier, Elizabeth Collins, Mark Williams, Paola Vidal, Sakeenah Hicks, Kwoineh Haba, Cameron Mattingly, Christ (…)2026-11-02

🧬 biology

Knowledge or sparsity? Gene set masks in a single-cell VAE

This study demonstrates that in single-cell VAEs, the sparsity of gene set masks—not the curated biological knowledge they contain—is the primary driver of improved expression shift prediction, with uncurated co-expressed gene groups outperforming both curated pathways and random masks.

George Miliarakis2026-11-02

🧬 biology

Effective mean-field variables explain how biophysical parameters control firing rate and regularity in a spiking network

This study demonstrates that the firing rate and regularity of large-scale recurrent spiking networks are primarily governed by a few effective biophysical variables—such as drive, coupling, noise, and temporal scales—rather than individual nominal parameters, allowing simple theoretical models to accurately predict network dynamics and sensitivity across diverse conditions.

Luciano Gonçalves Fernandes2026-11-02

🧬 biology

Lumbar Modic Changes Concentrate Stress at the Endplate–Vertebral Interface

This study demonstrates that Modic changes, particularly Type III, create material heterogeneity that concentrates stress at the vertebral endplate and margin while causing only minimal reductions in segmental motion, suggesting that local stress assessment is crucial for understanding Modic biomechanics alongside motion analysis.

Yuchenxi Wang, Sunqi Nian, Chengjin Li, Haotian Luo, Guangyao Zhang, Fei Chen, Na Li, Jiayu Chen2026-11-02

🧬 biology

Brain Tissue Proportionality and General Cognitive Ability Across Three Adult Cohorts

This study demonstrates that the proportional allocation of specific brain tissue compartments, particularly the relative balance between total cerebellum and cerebral white matter, independently predicts general cognitive ability across three independent adult cohorts, even after controlling for overall brain volume.

Baptiste Dumoulin2026-11-02

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