Click-to-Capture: A method for enriching viable Staphylococcus aureus using bio-orthogonal labeling of surface proteins.

PLoS One

Department of Assay Development, Talis Biomedical Corporation, California, United States of America.

Published: August 2020

Staphylococcus aureus is one of the principal causative agents of bacteremia which can progress to sepsis. Rapid diagnostic tests for identification and antibiotic resistance profiling of S. aureus would improve patient outcomes and antibiotic stewardship, but existing methods require a lengthy culture step to obtain enough material for testing. Complexity of the host matrix, where pathogenic microbes are often present, also interferes with many diagnostic methods. Here, we describe a straightforward and rapid method for enriching viable S. aureus using bio-orthogonal, or "click," chemistry methods. Bacteria labeled in this manner can potentially be cultured, interrogated using molecular methods for pathogen identification, or used to test antibiotic susceptibility.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7299360PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0234542PLOS

Publication Analysis

Top Keywords

method enriching
8
enriching viable
8
click-to-capture method
4
viable staphylococcus
4
staphylococcus aureus using
4
aureus using bio-orthogonal
4
bio-orthogonal labeling
4
labeling surface
4
surface proteins
4
proteins staphylococcus
4

Similar Publications

Selenopeptides can be ideal dietary selenium (Se) supplements for humans. Currently, rice is not used much as a source of selenopeptides. Here, we executed the selenopeptidomics analysis of selenium-enriched rice protein hydrolysates using the full MS-dd-MS2 acquisition method and identified selenopeptides, including L{Se-Met}AK and other selenopeptides.

View Article and Find Full Text PDF

Classifying the molecular subtype of breast cancer using vision transformer and convolutional neural network features.

Breast Cancer Res Treat

January 2025

Department of Radiological Technology, Faculty of Medical Technology, Niigata University of Health and Welfare, 1398 Shimamichou, Kita-Ku, Niigata, Japan.

Purpose: Identification of the molecular subtypes in breast cancer allows to optimize treatment strategies, but usually requires invasive needle biopsy. Recently, non-invasive imaging has emerged as promising means to classify them. Magnetic resonance imaging is often used for this purpose because it is three-dimensional and highly informative.

View Article and Find Full Text PDF

A Golgi apparatus‑related subtype and risk signature predicts prognosis and evaluates immunotherapy response in gastric cancer.

Discov Oncol

January 2025

Department of Gastrointestinal Surgery, Yantai Yuhuangding Hospital, Qingdao University, No. 20 Yuhuangding East Road, Zhifu District, Yantai, 264001, China.

Background: Gastric cancer (GC) remains a significant health burden, calling for the discovery of novel biomarkers. Golgi apparatus, a crucial cellular organelle involved in tumorigenesis, remains underexplored in GC research. A comprehensive understanding of its role and associated mechanisms is urgently needed.

View Article and Find Full Text PDF

Purpose: Pulmonary hypertension (PH) is associated with morbidity and mortality in patients with interstitial lung disease (ILD). Several prediction models have been proposed to predict PH in ILD patients. We sought to discern how previously described prediction models perform in predicting PH in patients with ILD.

View Article and Find Full Text PDF

Identification of pain-related long non-coding RNAs for pulpitis prediction.

Clin Oral Investig

January 2025

Department of Endodontics, Guangdong Engineering Research Center of Oral Restoration and Reconstruction, Guangzhou Key Laboratory of Basic and Applied Research of Oral Regenerative Medicine, Affiliated Stomatology Hospital of Guangzhou Medical University, Guangzhou, China.

Objectives: We investigated the recently generated RNA-sequencing dataset of pulpitis to identify the potential pain-related lncRNAs for pulpitis prediction.

Materials And Methods: Differential analysis was performed on the gene expression profile between normal and pulpitis samples to obtain pulpitis-related genes. The co-expressed gene modules were identified by weighted gene coexpression network analysis (WGCNA).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!