Provides high-throughput gene expression profiling across entire cell populations, ideal for identifying differential gene expression in various conditions.
Enables transcriptome analysis at the single-cell level, revealing cellular heterogeneity and rare subpopulations within complex samples.
Captures coding and non-coding RNAs, including lncRNAs and miRNAs, for a comprehensive transcriptomic overview.
Focuses on polyadenylated transcripts to assess gene expression dynamics and functional pathways.
Specializes in analyzing microRNAs and other small regulatory RNAs, crucial for understanding post-transcriptional gene regulation.
Preserves strand information, enabling precise mapping of sense and antisense transcripts.
Identify novel RNA-based biomarkers for disease diagnostics and patient stratification.
Evaluate gene expression changes in response to drug candidates, aiding in mechanism-of-action studies and toxicity assessments.
Uncover cancer-specific transcriptomic signatures and characterize tumor heterogeneity.
Gain insights into gene regulation in neurodegenerative diseases and immune responses.
Monitor therapeutic gene expression and assess cellular reprogramming outcomes.
