Results 151 to 160 of about 1,597 (258)

SPADE: A Deep Learning Framework for Spatial Mapping and Quantitative Cell–Cell Interaction Inference

open access: yesAdvanced Science, EarlyView.
SPADE integrates spatial transcriptomics with single‐cell RNA sequencing by using cell–cell communications (CCC) as a guide for spatial mapping. It improves cell‐type localization, enhances sparse gene‐expression signals, and reveals CCC programs at single‐spot resolution.
Xinyi Li, Ning Zhang, Zijie Jin
wiley   +1 more source

Brain‐Computer Interface Training Fosters Perceptual Skills to Detect Errors

open access: yesAdvanced Science, EarlyView.
Accurate perception of visuomotor errors underpins motor precision and learning, yet conventional behavioral training fails to improve sensitivity to subtle errors. Real‐time EEG‐based brain‐computer interface feedback targeting the error positivity component enhances perceptual learning of small errors.
Deland H. Liu   +4 more
wiley   +1 more source

MIS12 Is Required for Kinetochore‐Microtubule Attachment in Oocyte Meiosis

open access: yesAdvanced Science, EarlyView.
A model depicting the role of MIS12 in K‐MT attachment during oocyte meiosis. The presence of MIS12 stabilizes bipolar K‐MT attachments by maintaining the function of NDC80 and its interaction with TUBB. This, in turn, promotes KNL1 assembly and subsequent SAC protein recruitment to kinetochores.
Jian Li   +9 more
wiley   +1 more source

Engineered Au@CeO2 Hybrid Nanoparticles With Microenvironment Dependent Self‐Adjustability for Integration of Tumor‐Specific Photothermal‐Chemodynamic Therapy and Inflammation Prevention

open access: yesAdvanced Science, EarlyView.
An intelligent Au@CeO2 Hybrid Nanoparticles (ACEF) with microenvironment‐dependent self‐adjustability was engineered to not only perform efficient and tumor‐specific photothermal‐chemodynamic therapy for precise tumor elimination, but also serve as a ROS scavenger in healthy tissues around the tumor to avoid the unexpected oxidative damage and ...
Wenyun Mu   +8 more
wiley   +1 more source

Condition‐Associated Pattern Extraction and Recovery From Multi‐Condition Single‐Cell RNA‐seq Data With CAPER

open access: yesAdvanced Science, EarlyView.
Decoupling biological signals from unwanted variation in multi‑condition single‑cell RNA sequencing data remains challenging. CAPER disentangles condition‑associated biological effects from sample heterogeneity through matrix factorization, producing interpretable latent factors and a batch‑corrected expression matrix.
Ye Li   +6 more
wiley   +1 more source

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