Results 221 to 230 of about 6,267,604 (379)

Current trends in single‐cell RNA sequencing applications in diabetes mellitus

open access: yesFEBS Open Bio, EarlyView.
Single‐cell RNA sequencing is a powerful approach to decipher the cellular and molecular landscape at a single‐cell resolution. The rapid development of this technology has led to a wide range of applications, including the detection of cellular and molecular mechanisms and the identification and introduction of novel potential diagnostic and ...
Seyed Sajjad Zadian   +6 more
wiley   +1 more source

High LRIG1 expression predicts lymph node metastasis in patients with uterine cervical cancer

open access: yesFEBS Open Bio, EarlyView.
Lymph node status is crucial in determining treatment for women with early‐stage cervical cancer. We demonstrate that high LRIG1 protein expression in primary tumors can predict lymph node metastases. Our findings support further investigation of LRIG1 as a biomarker to improve staging accuracy and guide treatment decisions in cervical cancer patients.
Pernilla Israelsson   +5 more
wiley   +1 more source

Teaching Python with team‐based learning: using cloud‐based notebooks for interactive coding education

open access: yesFEBS Open Bio, EarlyView.
This study presents a novel approach to teaching Python and bioinformatics using team‐based learning and cloud‐hosted notebooks. By integrating interactive coding into biomedical education, the method improves accessibility, student engagement, and confidence—especially for those without a computing background.
Nuno S. Osório, Leonardo D. Garma
wiley   +1 more source

A Synthetic Cohort Analysis of Canadian Housing Careers [PDF]

open access: yes
This paper uses a time-series of cross-sections drawn from three different surveys to explore life-cycle profiles of housing arrangements in Canada. Synthetic cohort (quasi-panel) methods are employed to disentangle age profiles from cohort effects.
Thomas F. Crossley, Yuri Ostrovsky
core  

A unified model for Duchenne muscular dystrophy gene involvement in cancer: context‐dependent tumour suppression and oncogenicity

open access: yesFEBS Open Bio, EarlyView.
We propose a context‐dependent model where the Duchenne muscular dystrophy (DMD) gene acts as a tumour suppressor in aggressive tumours and as an oncogene in less aggressive ones. We propose this model as a unified framework to explain the opposing survival associations with DMD expression and to guide experimental exploration of the dual role of DMD ...
Lee Machado   +4 more
wiley   +1 more source

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