Results 121 to 130 of about 428,274 (251)

Microbiome Single Cell Atlases Generated with a Commercial Instrument

open access: yesAdvanced Science, EarlyView.
Single cell sequencing is valuable for dissecting complex systems and uncovering unique features in individual cell types. However, tools for single cell microbial analysis are limited. Easily Accessible Single microbe sequencing (EASi‐seq), which adapts a commercially available single cell platform for efficient sequencing of single microbial genomes ...
Xiangpeng Li   +8 more
wiley   +1 more source

SimOS: A Python Framework for Simulations of Optically Addressable Spins [PDF]

open access: yesarXiv
We present an open-source simulation framework for optically detected magnetic resonance, developed in Python. The framework allows users to construct, manipulate, and evolve multipartite quantum systems that consist of spins and electronic levels.
arxiv  

Accurate Transcription Factor Activity Inference to Decipher Cell Identity from Single‐Cell Transcriptomic Data with MetaTF

open access: yesAdvanced Science, EarlyView.
MetaTF is a new computational framework that uses single‐cell RNA sequencing (scRNA‐seq) data to infer transcription factor activity with the aim to help in deciphering cells identity starting from a heterogeneous population, and apply it to characterize mouse hematopoietic stem cells and breast cancer epithelial cells, thus identifying a novel subset ...
Yongfei Hu   +15 more
wiley   +1 more source

Genomic and Cis‐Regulatory Basis of a Plastic C3‐C4 Photosynthesis in Eleocharis Baldwinii

open access: yesAdvanced Science, EarlyView.
The sedge Eleocharis baldwinii remarkably switches between C3‐like and C4‐like photosynthesis in response to environmental conditions. Combining gap‐free genome assembly with single‐cell multi‐omics, this study uncovers how subgenome dominance and cell‐specific cis‐regulation enable C4 photosynthesis.
Lu Chen   +11 more
wiley   +1 more source

Biosecurity Primitive: Polymerase X‐based Genetic Physical Unclonable Functions

open access: yesAdvanced Science, EarlyView.
What if every cell line can carry an unforgeable genomic fingerprint—one that proves its origin, ensures its authenticity, and thwarts unauthorized duplication? Here, CRISPR‐induced DNA lesions paired with TdT‐mediated repair produce robust, unique, and unclonable genetic signatures—advancing the concept of molecular Physical Unclonable Functions (PUF)
Zikun Zhou   +7 more
wiley   +1 more source

Single‐Cell Analysis Clarifies Pathological Heterogeneity in Tenosynovial Giant Cell Tumor and Identifies Biomarkers for Predicting Disease Recurrence

open access: yesAdvanced Science, EarlyView.
MP3 tumor cells, a specific subpopulation of tumor cells in D‐TGCT, regulated the differentiation of CD34+ Fbs into MMP3+ Fbs and APOE+ Fbs through COL6A3 − (ITGAV + ITGB8) interaction. APOE+ Fbs activated IL‐1B+CCL20+ Mφs through the CXCL12/CXCR4 axis. IL‐1B+CCL20+ Mφs and MMP3+ Fbs participated in the local invasion of D‐TGCT.
Yubin Xie   +15 more
wiley   +1 more source

Split‐Aperture Xolography – Linear Volumetric Photoactivation with Short Axial Dimension and Low out of Focus Excitation

open access: yesAdvanced Science, EarlyView.
Stepwise excitation of dual‐color responsive molecules in a novel intersecting half‐cone geometry provides excellent spatial resolution while retaining the high efficiency and thus speed of the overall process. The approach provides volumetric methods with an enhanced performance at the nanoscale.
Martin Regehly, Stefan Hecht
wiley   +1 more source

M2 Macrophage‐Derived Extracellular Vesicles Reprogram Immature Neutrophils into Anxa1hi Neutrophils to Enhance Inflamed Bone Regeneration

open access: yesAdvanced Science, EarlyView.
This study reveals that M2‐EVs mitigate periodontitis‐induced bone resorption by modulating neutrophil fate. Single‐cell RNA sequencing identified an Anxa1hi neutrophil subpopulation with pro‐reparative properties. M2‐EVs disrupt neutrophil maturation, promoting this subpopulation through key reprogramming genes (Acvrl1, Fpr2). These findings highlight
Yufei Yao   +7 more
wiley   +1 more source

DeepCCDS: Interpretable Deep Learning Framework for Predicting Cancer Cell Drug Sensitivity through Characterizing Cancer Driver Signals

open access: yesAdvanced Science, EarlyView.
DeepCCDS leverages prior knowledge and self‐supervised learning to model cancer driver signals for drug sensitivity prediction. It captures complex regulatory patterns enabling more biologically informed representations. The framework outperforms existing methods across datasets, offering improved accuracy and interpretability.
Jiashuo Wu   +10 more
wiley   +1 more source

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