🧬 biology

scLodestar: Scalable probabilistic clustering of single  cells in a continuous probability space

scLodestar is a scalable, high-performance framework that models single-cell data as continuous probability distributions over landmark states, enabling principled uncertainty quantification, the discovery of transitional cell populations, and efficient processing of millions of cells without the limitations of discrete hard clustering.

Lingpin Pang, Yue Xu, Yunhua Zhao, Xuanhe Hou, Yue Ma, Huafeng Liu, Xiaoyu Liu, Han Wang, Luchun Yan, Chunjie Tian2026-07-06
🧬 biology

Spatiotemporal multi-omics reveal ISG15⁺ T cells as a predictive transitional state in cancer immunotherapy

By integrating multi-omics and spatial profiling across 39 cancers, this study redefines ISG15⁺ T cells as a "spring-loaded" transitional reservoir that is spatially tethered in the tumor core but can be mobilized into active effectors by immune checkpoint blockade, thereby serving as a robust predictive biomarker for therapeutic success.

Taiwen Li, Guile Zhao, Yiwen Lu, Hao Cui, Grace Lubamba, Zhongzheng Xiang, YingYing Lian, Yang Yang, Siying Zuo, Shouzhe (…)2026-07-06
🧬 biology

Activation of the innate immune system of the Antarctic sea urchin Sterechinus neumayeri by soluble fraction of diesel oil and high seawater temperature

This study demonstrates that exposure to the water-soluble fraction of diesel oil, particularly at higher concentrations and combined with elevated seawater temperatures, significantly activates the innate immune system of the Antarctic sea urchin *Sterechinus neumayeri*, as evidenced by increased phagocytic activity and specific coelomocyte responses.

José Roberto Machado Cunha Silva, João Carlos Shimada Borges, Renata Stecca Iunes, Marina Tenório Botelho, Leandro Nogue (…)2026-07-06
🧬 biology

Neurodynamic EEG Seizure Analysis Using CWT Scaleograms and Modified DenseNet

This study proposes an explainable neurodynamic framework for epileptic seizure classification that transforms 1D EEG signals into CWT scaleograms and processes them through a modified, fully convolutional DenseNet architecture, achieving superior accuracy and interpretability compared to various baseline models.

Pankaj Kunekar, Jyoti Chavhan, Vanitha Soman, Ashutosh Kulkarni, Bhavna Arora, Tanushree Bhattacharjee2026-07-06
🧬 biology

Core functional convergence and spatiotemporal complementarity of soil microbial communities between rhizosphere and decomposing habitats in Foding Mountain Nature Reserve, China

This study reveals that in the Foding Mountain Nature Reserve, host plants exert bidirectional regulation on rhizosphere microbiomes while fungi and bacteria employ a spatiotemporal complementary strategy with distinct functional roles during organic matter decomposition, collectively driving material cycling and functional maintenance in subtropical forest ecosystems.

Jinhua Xu, Xinghong Wang, Anxiong Wei, Qingsong Ran, Haiyan Wang, Chunbo Dong, Yanwei Zhang, Wanhao Chen, Yanfeng Han2026-07-06
🧬 biology

Neuronal Mitochondrial Dysfunction Drives Astrocytic Mitochondrial Transfer after TBI: Reveals the Therapeutic Potential of astrocytic EV-Mito

Following traumatic brain injury, neuronal mitochondrial dysfunction triggers an adaptive astrocyte-mediated response where mitochondria are transferred via extracellular vesicles to restore somatic and neuritic bioenergetics, though this protective mechanism fails to reach synapses.

Gopal V Velmurugan, Hemendra J Vekaria, Alexander G Rabchevsky, Kai Saito, Josh M Morganti, Samir Patel, Brad Hubbard, P (…)2026-07-06
🧬 biology

SpikeTrainPatternDetector: a provenance-aware R/Shiny framework for neuronal firing-pattern detection and review

SpikeTrainPatternDetector (STPD) is an open-source R/Shiny framework designed to preserve the provenance of neuronal firing-pattern detection decisions through automated candidate generation, deterministic conflict resolution, and manual review, serving as a reproducible infrastructure for expert validation rather than a standalone biological classifier.

Houchun Zhou, Alexey Sedov2026-07-06