Results 191 to 200 of about 259,262 (241)

Asymmetric Parietal Cortical Atrophy in a Patient with RAB39B‐Associated Parkinsonism

open access: yes
Movement Disorders Clinical Practice, EarlyView.
Luca Gallo   +8 more
wiley   +1 more source

Deciphering the Heterogeneity of Pulmonary Macrophages in Response to Fine Particles

open access: yesSmall, EarlyView.
This study introduces a dual‐labeled gold nanoparticle model to capture particle–responsive cells via integrating fluorescence‐activated cell sorting and single‐cell RNA sequencing. Fourteen macrophage subsets are identified with response and function heterogeneity, among which AMs_3, AMs_7, and recMacs_4 subsets show stronger phagocytic activation ...
Qing'e Shan   +11 more
wiley   +1 more source

Methods for Controlling Small GTPase Activity. [PDF]

open access: yesChembiochem
Faulkner B, He Y, Sitrin D, Stains CI.
europepmc   +1 more source

Single‐cell RNA sequencing revealed the T‐cell heterogeneity and exhaustion subsets of Helicobacter pylori‐induced gastritis‐to‐cancer transformation

open access: yesVIEW, EarlyView.
H. pylori infection is a major cause of stomach cancer, but its effect on immune cells in tumors is unclear. Using single‐cell sequencing, we mapped the stomach tumor environment and discovered a specific exhausted T‐cell subtype, marked by the FYB1 gene, that is abundant in H. pylori‐positive tumors and linked to patient prognosis. Our findings reveal
Yanhui Yang   +22 more
wiley   +1 more source

Functional identification of two variants in unrelated Chinese patients with DNM1L-related mitochondrial disorders. [PDF]

open access: yesBMC Pediatr
Zhang Z   +10 more
europepmc   +1 more source

A multimodal deep learning framework for predicting sunitinib response in advanced clear cell renal cell carcinoma

open access: yesVIEW, EarlyView.
In this study, we constructed a prognostic model for ccRCC patients treated with Sunitinib through a deep learning‐based multimodal approach. Our CGPR model further confirms the feasibility of integrating multimodal and provides guidance for future tumor patients to receive precision therapy.
Xi Tian   +11 more
wiley   +1 more source

Mass spectrometry‐based mitochondrial proteomics for cancer biomarker discovery

open access: yesVIEW, EarlyView.
Figure.1 Schematic diagram of MS‐based mitochondrial proteomics for cancer biomarker discovery. The workflow highlights the integration of advanced technological platforms in mitochondrial proteomics and their application in cancer biomarker discovery.
Zheng Cao   +6 more
wiley   +1 more source

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