OVA-PEG-Cy3

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.

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.

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.

Flow cytometry (FC) is a technique for high-speed, step-by-step quantitative analysis and sorting of single cells or other biological particles in a suspension by detecting labeled fluorescent signals.

Flow cytometric DNA-content cell-cycle staining measures the fluorescence intensity of DNA-bound fluorochromes in single cells or nuclei to estimate DNA content distributions, allowing assignment of populations to G0/G1, S, and G2/M phases by DNA histogram deconvolution. Propidium iodide (PI) intercalates into DNA, and PI fluorescence is proportional to cellular DNA content when staining is performed under conditions that make DNA accessible and minimize non-DNA signal. Cells with G2/M DNA content are expected to show approximately twice the fluorescence intensity of G0/G1 cells, while S-phase cells occupy intermediate fluorescence values. PI-based DNA-content analysis can also detect cells with fractional DNA content, often reported as sub-G1, when DNA fragmentation and extraction during staining reduce retained DNA signal in apoptotic cells. DAPI is an alternative DNA fluorochrome for univariate DNA-content analysis, while bivariate approaches combining DNA content with proliferation

Phospho-flow cytometry detects intracellular phosphorylated signaling proteins in single cells using phospho-specific antibodies after rapid fixation and permeabilization; the fluorescence intensity reflects phosphorylation state and therefore kinase-pathway activation, inhibition, or drug response in defined cell subsets. Unlike Western blot, phospho-flow preserves single-cell resolution and can measure signaling heterogeneity in cancer cells, primary immune cells, dissociated mouse tumors, macrophages, organoid-derived cells, and drug-screening samples when validated antibodies and fixation/permeabilization conditions are used.

Endocrine diseases often arise from disrupted hormone production, hormone signaling, or target-tissue responsiveness; for diabetes-focused endocrine disease models, insulin signaling regulates glucose uptake, hepatic glucose output, lipid metabolism, and β-cell compensation. Type 2 diabetes develops through interacting defects in insulin resistance, β-cell dysfunction, adipose inflammation, hepatic glucose overproduction, altered incretin signaling, and ectopic lipid metabolism. A major unresolved question is whether endocrine dysfunction is driven primarily by target-tissue insulin resistance, intrinsic β-cell failure, immune/inflammatory stress, or combined multi-organ failure that differs by disease stage.

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.