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http://dx.doi.org/10.1002/pon.4326 | DOI Listing |
iScience
January 2025
Computational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
The regulation of gene expression relies on the coordinated action of transcription factors (TFs) at enhancers, including both activator and repressor TFs. We employed deep learning (DL) to dissect HepG2 enhancers into positive (PAR), negative (NAR), and neutral activity regions. Sharpr-MPRA and STARR-seq highlight the dichotomy impact of NARs and PARs on modulating and catalyzing the activity of enhancers, respectively.
View Article and Find Full Text PDFFront Psychol
January 2025
Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan.
Introduction: This study investigates the mechanisms underlying pitch class-color synesthesia, a cognitive trait in which musical pitches evoke color perceptions. Synesthesia in music particularly involves the association of pitch classes (e.g.
View Article and Find Full Text PDFInt J Chron Obstruct Pulmon Dis
January 2025
Department of Cardiology, Respiratory Medicine and Intensive Care, University Hospital Augsburg, Augsburg, Germany.
Background: Chronic obstructive pulmonary disease (COPD) affects breathing, speech production, and coughing. We evaluated a machine learning analysis of speech for classifying the disease severity of COPD.
Methods: In this single centre study, non-consecutive COPD patients were prospectively recruited for comparing their speech characteristics during and after an acute COPD exacerbation.
Front Med (Lausanne)
January 2025
Department of Critical Care Medicine, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Background: Rhabdomyolysis (RM) frequently gives rise to diverse complications, ultimately leading to an unfavorable prognosis for patients. Consequently, there is a pressing need for early prediction of survival rates among RM patients, yet reliable and effective predictive models are currently scarce.
Methods: All data utilized in this study were sourced from the MIMIC-IV database.
Front Immunol
January 2025
Department of Radiology, Hubei Key Laboratory of Molecular Imaging, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Background: Infiltrative hepatocellular carcinoma (HCC) remains a therapeutic challenge due to its aggressive course and poor prognosis. Hepatic arterial infusion chemotherapy (HAIC) plus immune checkpoint inhibitors (ICIs) and molecular targeted therapies (MTTs) has shown early promise for advanced HCC, but its role in advanced infiltrative HCC is unclear. This study aims to investigate the efficacy and safety of HAIC combined with ICIs and MTTs in the treatment of advanced infiltrative HCC.
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