🧬 biology

PanoMito: mapping mitochondrial heterogeneity from morphofunctional profiling to single-mitochondrion spatial transcriptomics

The paper introduces PanoMito, an integrated toolbox combining a large multi-modal mitochondrial dataset and a deep-learning framework to enable high-precision segmentation, unsupervised classification, and single-mitochondrion spatial transcriptomics, thereby establishing a comprehensive framework for systematically mapping mitochondrial heterogeneity and morphology-function relationships across diverse species.

Karl Zhanghao, Jingqian Wang, Shuofeng Gong, Ying Chen, Jiayi Huang, Qin Ke, Renlong Zhang, Xingyi Chen, Yaning Duan, Ka (…)2026-08-03
🧬 biology

Mechanistic Analysis of NHS Mutation in Congenital Cataract via Patient-Derived hiPSC Model

This study elucidates that Nance-Horan syndrome (NHS) mutations cause congenital cataract by disrupting lens epithelial cell homeostasis via downregulation of integrin α2 (ITGA2), leading to cytoskeletal and junctional defects, a mechanism validated through a novel urine-derived hiPSC model and gene-corrected controls.

Fan Fan, Xiaolei Lin, Hongzhe Li, Tianke Yang, Xin Liu, Yanwen Fang, Yi Luo, Xiangjia Zhu2026-08-03
🧬 biology

Sex differences in DNA methylation in autism spectrum disorder: an epigenome-wide association study

This epigenome-wide association study of 95 ASD probands and 49 controls identifies specific DNA methylation alterations and global hypomethylation in boys compared to girls, suggesting that epigenetic mechanisms contribute to the sex disparities observed in autism spectrum disorder.

Natalia Cullell, Amaia Hervas, Alexandre Serra-Llovich, Aida Álvarez, Valentin Bote, Cristina Gallego-Fabrega, Enric Dur (…)2026-08-03
🧬 biology

Quantitative measurement of insulin-like growth factor-1 in saliva using multi-walled carbon nanotubes- based immunosensor

This study presents a rapid, label-free electrochemical immunosensor utilizing multi-walled carbon nanotubes on a screen-printed carbon electrode to quantitatively detect insulin-like growth factor-1 in saliva with high sensitivity and reliability, offering a painless alternative to conventional laboratory-based assays.

Ze Ren Chen, Nor Syafirah Zambry, Fatimah Ibrahim, Norrima Mokhtar, Wan Nurazreena Wan Hassan, Wan Ahmad Hafiz Wan Md Ad (…)2026-08-03
🧬 biology

Multimodal Deep Learning Framework for Autism Spectrum Disorder Detection Using CC200 Functional Connectivity and Clinical Phenotypes

This paper presents a dual-branch deep learning framework that integrates CC200-derived functional connectivity features from resting-state fMRI with clinical phenotypic data to achieve high-performance, transparent, and reproducible detection of Autism Spectrum Disorder, demonstrating that multimodal fusion yields more consistent results and lower false-positive rates than clinical data alone.

ANUPAM DAS, Prasant Kumar Pattnaik, Hemang Dubey, Anjan Bandyopadhyay, Neeraj Sharma, Saiprasd Potharaju2026-08-03
🧬 biology

The interaction mechanism investigation of Beclin-1 on mitochondrial ferroptosis and autophagy in doxorubicin-induced mice myocardial injury

This study demonstrates that in doxorubicin-induced myocardial injury, Beclin-1 and DHODH act antagonistically to jointly regulate mitochondrial ferroptosis and autophagy, where Beclin-1 knockdown and DHODH overexpression synergistically alleviate cardiac damage by suppressing these cell death pathways.

Yuping Li, Lu Li, Rui Zhang, Anbo Zhao, Jiahui Wang, Zhenghong Li, Hongwei Ye, Qin Gao2026-08-03
🧬 biology

Hepatocyte mitochondrial DNA regulates the formation of extracellular traps by kidney macrophages: a potential factor in liver-kidney crosstalk in TCE-sensitized mice

This study demonstrates that in TCE-sensitized mice, mitochondrial DNA released from damaged hepatocytes triggers liver-kidney crosstalk by activating the STING pathway in renal macrophages, leading to M1 polarization and the formation of macrophage extracellular traps, a process that can be alleviated by the STING inhibitor C-176.

Xueqian Jia, Xuan Fan, Chenghuan Wan, Zijun Li, Luqing Pan, Hui Wang, Jiaxiang Zhang2026-08-03
🧬 biology

Machine Learning-Accelerated Analysis of In Utero Embryo Phenotyping in C. elegans for Reproductive Toxicity Assessment

This study presents EmbryoMAE-Det, a machine learning framework that automates the analysis of *C. elegans* in utero embryo phenotyping, reducing analysis time by 1,000-fold while maintaining high accuracy and statistical power for rapid reproductive toxicity assessment.

Abhishri Medewar, Andrew DuPlissis, Adam Laing, Amber Shen, Evan Hegarty, Sebastian Gomez, Gina Carrion, Julia Brown, Su (…)2026-08-03
🧬 biology

A Comparative Genomic Architecture and Functional Potential of Prophages in Clinical Granulicatella adiacens: From Prophage Cargo to Impact

This study characterizes the genomic architecture and functional potential of prophages in clinical *Granulicatella adiacens*, revealing them as mobile, mosaic platforms for recombination and niche adaptation that lack typical virulence factors but warrant inclusion in genomic surveillance pipelines to better understand strain relatedness and clinical variability.

Norya AlMaraghi, samar S. Boswihi, faten Al-Wathiqi, Khaled Al-Obaid2026-07-31