RESUMEN
RNA sequencing is an approach to transcriptomic profiling that enables the detection of differentially expressed genes in response to genetic mutation or experimental treatment, among other uses. Here we describe a method for the use of a customizable, user-friendly bioinformatic pipeline to identify differentially expressed genes in RNA sequencing data obtained from C. elegans, with attention to the improvement in reproducibility and accuracy of results.
Asunto(s)
Caenorhabditis elegans , Biología Computacional , Perfilación de la Expresión Génica , Análisis de Secuencia de ARN , Programas Informáticos , Flujo de Trabajo , Caenorhabditis elegans/genética , Animales , Biología Computacional/métodos , Análisis de Secuencia de ARN/métodos , Perfilación de la Expresión Génica/métodos , Transcriptoma , Secuenciación de Nucleótidos de Alto Rendimiento/métodos , Reproducibilidad de los ResultadosRESUMEN
Near-field optics can overcome the diffraction limit by creating strong optical gradients to enable the trapping of nanoparticles. However, it remains challenging to achieve efficient, stable trapping without heating and thermal effects. Dielectric structures have been used to address this issue but usually offer weak trap stiffness. In this work, we exploit the Fano resonance effect in an all-dielectric quadrupole nanostructure to realize a 20-fold enhancement of trap stiffness, compared to the off-resonance case. This enables a high effective trap stiffness of 1.19 fN/nm for 100 nm diameter polystyrene nanoparticles with 4.2 mW/µm2 illumination. Furthermore, we demonstrate the capability of the structure to simultaneously trap two particles at distinct locations within the nanostructure array.
