Esophageal squamous cell carcinoma (ESCC) is an aggressive disease with a low survival rate. While considerable progress has been made in uncovering the biological mechanisms of the disease, diagnosing ESCC at an early stage remains challenging. Altered N-glycosylation patterns are hallmarks of various cancers, and ide...
This record provides reproducibility materials for the study “Incremental predictive value of cystatin C for next-visit care needs in older adults: a longitudinal study using CHARLS data.” The study evaluates prediction of three next-visit states: alive without basic activities of daily living (BADL) assistance, alive...
Yanche Lu, Ruijie Lin· Zenodo (CERN European Organi...· 0 citations
Background: The Lung Transplant Frailty Scale (LT-FS) is a validated binary measure of frailty in lung transplant candidates. We aimed to refine the LT-FS Base and Body Composition measures by developing a three-category classification to improve clinical risk stratification with serum albumin as a more clinically prac...
A. Sriram, J. Christie, M. Anderson et al.· medRxiv· 0 citations
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Capturing the dynamic interplay of proteins and organelles within cells requires microscopy methods with high spatial and temporal resolution. Reversible Saturable OpticaL Fluorescent Transition (RESOLFT) demonstrated great potential for live cell nanoscopy by using patterned light and reversibly switching fluorescent...
A sustainable alternative for cancer therapy that aligns with green chemistry principles and reduces environmental accumulation of non-degradable therapeutic materials is offered, offering a sustainable alternative for cancer therapy that aligns with green chemistry principles and reduces environmental accumulation of...
Shabnam Naderlou, Ali Mohammadi, Ali Heidarnejad Maleki et al.· Journal of Polymers and the...· 0 citations
Fluorescent proteins (FPs) are widely used in biological imaging, yet their limited programmability restricts adaptability for advanced nanoscale applications. Synthetic molecular containers offer designable cavities but struggle to simultaneously achieve large dimensions, biocompatible interfaces, and precise microenv...
Hepatocellular carcinoma (HCC) is characterized by extensive molecular heterogeneity, yet changes in protein abundance alone may not fully capture the regulatory alterations that drive tumor biology. Here, we performed integrated whole-proteome and phosphoproteome profiling of paired HCC and adjacent non-tumorous liver...
Shafaq Saleem, M. Sajid, Rency S. Varghese et al.· International Journal of Mol...· 0 citations
Natural killer (NK) cells and type 1 innate lymphoid cells (ILC1s), collectively known as group 1 innate lymphoid cells (ILCs), are critical mediators of anti-tumor immunity, yet their role in brain metastasis remains poorly defined. Using single-cell RNA sequencing and functional depletion models, we show that group 1...
Timothy P McMullen, Pascal Naef, Erika Zagni et al.· bioRxiv (Cold Spring Harbor...· 0 citations
The construction of physical shelters represents a widespread survival strategy among insects. This study evaluated the effect of silk web removal on the efficacy of Beauveria bassiana treatment against Hyphantria cunea larvae. Results indicated that the removal of silk webs significantly increased larval mortality and...
Hong Jiang, Peng Li, Ying Wang et al.· Insects· 0 citations
Key elements that enhance circular RNA delivery in vitro and in vivo, including aminoethoxy head units, doubly branched tails and linkers tuned for hydrogen bonding and biodegradability are revealed.
Adam Cook, P. Yadav, Ekram W. Helmy et al.· Journal of the American Chem...· 0 citations
Retinoblastoma protein (pRb) is a critical tumor suppressor that regulates the cell cycle and maintains genetic stability. While mutations in the retinoblastoma 1(RB1) gene are well-documented in gastric adenocarcinoma (GAC) and hepatocellular carcinoma (HCC), the genomic landscape in Middle Eastern populations remains...
B. Yousif, D. Mahmood· Journal of Advanced Biotechn...· 0 citations
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.
