N-Nonanoyl-L-homoserine lactone

Reverse transcription technology uses RNA as a template to synthesize DNA. RT-PCR is simple, specific and sensitive, and can be used to detect gene expression levels and expression differences in cells; detect RNA virus content; clone cDNA sequences of specific genes.

By lysing cells, releasing RNA, and removing impurities such as proteins and DNA, high-purity RNA products are finally obtained. The commonly used traditional method is the guanidine isothiocyanate/phenol/chloroform method (Trizol), which is suitable for a variety of animal materials including animal tissues, microorganisms, cultured cells, etc., and most plant materials.

Infectious-disease experiments test how pathogens interact with host barriers, innate immune receptors, inflammatory signaling, pathogen replication, and tissue injury; pattern-recognition receptors such as TLRs, RIG-I-like receptors, NOD-like receptors, and inflammasomes detect microbial molecules and activate NF-κB, interferon, and cytokine responses. The central hypothesis is that infection severity reflects the balance between pathogen burden and host response: protective inflammation restricts pathogen growth, whereas excessive or mislocalized inflammation contributes to tissue damage and disease phenotype. Unresolved questions include which host pathways are protective versus pathogenic, why some infection models fail to translate to human disease, and which combined readouts best predict clinically relevant infection outcomes.

Cell counting and cell-density analysis estimate the number of cells in a known volume or field area. Manual hemocytometer counting uses a chamber of defined geometry to convert counted cells into cells/mL, while automated counters and image-analysis workflows detect cell objects from optical, brightfield, fluorescence, impedance, or digital-image features. Trypan blue viability counting is based on dye exclusion: viable cells with intact membranes exclude dye, while non-viable cells with compromised membranes stain blue. The readout is total cell density, viable-cell density, dead-cell density, and percent viability. Cell density can also be estimated from microscopy images by counting objects per image area, from flow cytometry using calibrated volume or reference particles, or from in situ microscopy in bioreactors after calibration against reference methods such as hemocytometer or flow cytometry.

Cell counting-based growth curve assays quantify cell proliferation by directly measuring changes in viable cell number over time using manual or automated counting methods such as hemocytometer-based counting or instrument-assisted cell enumeration, enabling construction of growth curves that reflect population expansion dynamics in response to culture conditions. A widely used approach is trypan blue exclusion with hemocytometer counting, where membrane-compromised (non-viable) cells take up the dye, allowing discrimination between viable and non-viable cells while simultaneously enabling total cell number quantification. Repeated sampling across time points allows estimation of proliferation rate, growth phases, and comparative growth kinetics between experimental conditions.

Fungal biofilm culture is an in vitro method for growing surface-attached fungal communities, most commonly Candida albicans, on abiotic substrates such as polystyrene wells, silicone elastomer, or polymethylmethacrylate; the assay models adhesion, proliferation, filamentation, extracellular-matrix-associated maturation, and dispersion. Biofilm output can be read by optical density at 600 nm for adherent biomass, XTT reduction for metabolic activity, CFU recovery for viable attached or dispersed cells, and microscopy for architecture.

Real-time quantitative PCR (qPCR) quantifies an amplifiable nucleic-acid target by monitoring fluorescence during PCR cycling rather than measuring product only after amplification. The increase in fluorescence tracks accumulation of PCR product, and the quantification cycle (Cq; historically also Ct/CP) is related to the initial amount of target: samples containing more starting target generally reach the defined fluorescence threshold in fewer cycles.