The NanoString nCounter System has been widely used in basic science and translational science research for the past decade. The System consists of two instruments: the PrepStation and the Digital Analyzer, and both have been continuously improved with evolving technologies. A great amount of research data have been generated at multiple research laboratories with the employment of different generations of the System. With the need of integrating multiple datasets, researchers are interested to know whether signals are comparable between different generations of the System. Toward this end, we designed a profiling study to compare performance of two generations of the NanoString nCounter System using a common set of biological samples. Using graphical tools and statistical models, we found that two different generations of NanoString nCounter System produced equivalent signals and signal deviations are in the range of random background noises for the medium-high expression levels.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6874068 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0225505 | PLOS |
Virulence
December 2025
Manchester Fungal Infection Group (MFIG), Division of Evolution, Infection, and Genomics, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Sulfur metabolism is an essential aspect of fungal physiology and pathogenicity. Fungal sulfur metabolism comprises anabolic and catabolic routes that are not well conserved in mammals, therefore is considered a promising source of prospective novel antifungal targets. To gain insight into sulfur-related metabolism during infection, we used a NanoString custom nCounter-TagSet and compared the expression of 68 key metabolic genes in different murine models of invasive pulmonary aspergillosis, at 3 time-points, and under a variety of conditions.
View Article and Find Full Text PDFF1000Res
January 2025
Department of Neurology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Dr. Sardjito General Hospital, Special Region of Yogyakarta, 55281, Indonesia.
Background: Glioma is the second most common type of brain tumor, accounting for 24% of all brain tumor cases. The current diagnostic procedure is through an invasive tissue sampling to obtain histopathological analysis, however, not all patients are able to undergo a high-risk procedure. Circulating microRNAs (miRNAs) are considered as promising biomarkers for glioma due to their sensitivity, specificity, and non-invasive properties.
View Article and Find Full Text PDFJ Cutan Pathol
January 2025
Department of Pathology and Dermatology, NYU Langone Medical Center, New York, New York, USA.
Background: Digital papillary adenocarcinoma (DPAC) is a rare but aggressive cutaneous malignant sweat gland neoplasm that occurs on acral sites. Despite its clinical significance, the cellular and genetic characteristics of DPAC remain incompletely understood.
Methods: We conducted a comprehensive genomic and transcriptomic analysis of DPAC (n = 14) using targeted next-generation DNA and RNA sequencing, along with gene expression profiling employing the Nanostring Technologies nCounter IO 360 Panel.
Int Immunopharmacol
January 2025
Department of Molecular Pathology, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, Henan, China; Henan Key Laboratory of Molecular Pathology, Zhengzhou, Henan, China. Electronic address:
Background: Lung squamous cell carcinoma (LUSC) is a significant health concern, characterized by a lack of specific therapies and limited treatment options for patients in advanced stages. This study aims to identify key molecules of prognostic importance in LUSC and provide an experimental foundation for their potential therapeutic applications.
Methods: Immune-related transcriptome expression analysis was performed on LUSC samples using the NanoString digital gene analysis system to develop a prognostic transcriptomic signature.
Front Endocrinol (Lausanne)
December 2024
Division of Endocrinology, Mayo Clinic, Jacksonville, FL, United States.
Introduction: BRAFV600E mutation (BRAF) is common in papillary thyroid cancer (PTC), and most patients have an excellent outcome. However, a TERT-promoter mutation (pTERT) in the presence of BRAF (BRAFpTERT) has been demonstrated to confer a more aggressive behavior to PTC. Lymphocytic infiltration is often present in PTC.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!