Nanostructured devices have proven useful in a broad range of applications, from diagnosing diseases to discovering and screening new drug molecules. We developed vertical silicon nanopillar (SiNP) arrays for on-chip multiplex capture of selected biomolecules using a light-induced release of the array's selectively captured biomarkers. This platform allows the rapid, reusable and quantitative capture and release of a selection of biomarkers, followed by their downstream analysis. Here we outline a standardized protocol for producing the SiNP-based capture-and-release device, which involves the detailed fabrication steps for single-zone nanopillar arrays, their morphological characterization and the chemical modification procedures applied for the anchoring of selective bioreceptors together with the light-controlled on-demand release of the chemical agent. In addition, we provide a detailed approach for the fabrication of a multizone-SiNP array, allowing the simultaneous capture and release of multiple biomarkers of interest. Finally, we demonstrate the entire process of selective and quantitative capture and release of biomolecules from biosamples by means of a commercial low-volume microplate reader system, using green fluorescent protein as a biomarker example. The entire protocol can be conducted within 45 h and requires knowledge in nanoscience, surface chemistry, device micro- and nanofabrication procedures, microfluidics and protein quantification techniques. These SiNP array devices have already demonstrated applications for highly selective and quantitative analysis of a wide range of biological and chemical species, including proteins, nucleic acids, small molecules and ionic species.
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http://dx.doi.org/10.1038/s41596-024-01124-6 | DOI Listing |
Nat Protoc
January 2025
Center for Nanoscience and Nanotechnology, Tel Aviv University, Tel Aviv-Yafo, Israel.
Nanostructured devices have proven useful in a broad range of applications, from diagnosing diseases to discovering and screening new drug molecules. We developed vertical silicon nanopillar (SiNP) arrays for on-chip multiplex capture of selected biomolecules using a light-induced release of the array's selectively captured biomarkers. This platform allows the rapid, reusable and quantitative capture and release of a selection of biomarkers, followed by their downstream analysis.
View Article and Find Full Text PDFBackground: Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal cancer with a 5-year survival rate of 12%. It has two major molecular subtypes: classical and basal, regulated by the master transcription factors (MTFs) GATA6 and ΔNp63, respectively.
Objective: This study sought to uncover the transcriptional regulatory mechanisms controlling PDAC subtype identity.
Semin Thromb Hemost
January 2025
of Medicine, Universita degli Studi di Padova Scuola di Medicina e Chirurgia, Padova, Italy.
Anti-platelet factor 4 (PF4) antibody-mediated disorders are a heterogenous group of diseases characterized by the presence of highly pathogenic immunoglobulins G directed against PF4 and/or PF4/heparin complexes. These antibodies are able to activate platelets, neutrophils and monocytes, thus resulting in thrombocytopenia and a hypercoagulable state. Five different forms of anti-PF4 antibody-mediated disorders have been identified: i) classic heparin-induced thrombocytopenia (cHIT) mediated by heparin and certain polyanionic drugs; ii) autoimmune HIT (aHIT) characterized by the presence of anti-PFA/polyanion antibodies that can strongly activate platelets even in the absence of heparin; iii) spontaneous HIT (spHIT) characterized by thrombocytopenia and thrombosis without proximate exposure to heparin, with two subtypes: (a) post-total knee arthroplasty, and cardiac surgery using cardiopulmonary bypass or extracorporeal membrane oxygenation, and (b) post-infections; iv) vaccine-induced immune thrombotic thrombocytopenia (VITT) characterized by thrombocytopenia, arterial and venous thrombosis, or secondary hemorrhage after receiving adenoviral vector vaccines for COVID-19; v) VITT-like disorders triggered by adenoviral infections.
View Article and Find Full Text PDFEur J Oncol Nurs
January 2025
School of Health and Medical Sciences, City St George's, University of London, London, EC1V 0HB, United Kingdom. Electronic address:
Purpose: This study aimed to explore the experiences of patients with colorectal cancer undergoing surgical treatment, capturing their perspectives from diagnosis through to post-discharge recovery.
Methods: A qualitative methodology was adopted, utilising semi-structured virtual interviews with ten patients recruited from a specialist colorectal clinic. Interviews were transcribed verbatim, and data analysed by the process of inductive thematic analysis, using interpretive description.
J Chem Theory Comput
January 2025
Department of Pharmaceutical Sciences, University of Maryland School of Pharmacy, Baltimore, Maryland 21201, United States.
Despite its importance in understanding biology and computer-aided drug discovery, the accurate prediction of protein ionization states remains a formidable challenge. Physics-based approaches struggle to capture the small, competing contributions in the complex protein environment, while machine learning (ML) is hampered by the scarcity of experimental data. Here, we report the development of p ML (KaML) models based on decision trees and graph attention networks (GAT), exploiting physicochemical understanding and a new experiment p database (PKAD-3) enriched with highly shifted p's.
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