Revolutionizing Biotechnology

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High-throughput sequencing of mRNAs produced by a species or a specific cell in a certain functional state can provide quantitative analysis to detect differences in gene expression levels.

LncRNA high-throughput sequencing uses strand-specific library construction to profile long RNAs—including lncRNA, mRNA, and circRNA—providing a comprehensive view of transcriptomes in biological processes. It supports studies of cell differentiation, regulatory mechanisms, disease biomarkers, molecular diagnosis, and genetic drug development. 

Small RNA (sRNA) sequencing uses the Illumina sequencing platform, which can comprehensively analyze the miRNA, siRNA, and piRNA in the sample. It can both identify known sRNAs, predict new sRNAs, and predict target genes of sRNAs. It is a study of small RNA functions And regulatory mechanisms.

Circular RNA (circRNA) is a recently identified non-coding RNA widely present in plants and animals. Its closed-loop structure makes it resistant to RNase degradation, giving it high stability in cells. circRNAs can act as “miRNA sponges,” regulating gene expression, and show tissue- and time-specific expression patterns. They hold significant potential in understanding disease mechanisms, as well as in diagnostics and targeted therapies. 

Single-cell RNA sequencing (scRNA-seq) enables high-throughput analysis of mRNA at the individual cell level, overcoming challenges from cellular heterogeneity and low sample volume. It provides insights into gene expression, cell subtype classification, and the identification of oncogenes and transcription factors. 

Whole Genome Bisulfite Sequencing (WGBS) combines bisulfite treatment with high-throughput sequencing to map DNA methylation across the genome at single-base resolution.

ChIP-seq uses antibodies to pull down DNA–protein complexes and, through high-throughput sequencing, identifies genome-wide binding sites of specific proteins and their sequence preferences.

RNA immunoprecipitation (RIP) uses antibodies to isolate RNA–protein complexes and sequence the bound RNAs, enabling analysis of RNA–protein interactions and post-transcriptional regulation, including miRNA targets.

16S/18S/ITS amplicon sequencing amplifies marker regions from environmental DNA to identify and quantify microbial communities, enabling analysis of species composition, diversity, and phylogeny across various sample types.

Metagenomics analyzes DNA directly from environmental samples—without culturing—to profile microbial community composition, evolution, gene functions, and metabolic networks.

Whole-genome resequencing sequences individuals against a reference genome to comprehensively detect genetic variations—such as SNPs, indels, and structural changes—supporting research in disease, cancer, population genetics, and evolution.

 Whole-genome resequencing compares individual genomes to a reference to identify SNPs, indels, SVs, and CNVs, enabling comprehensive analysis of genetic variation and complex disease mechanisms, including inherited, sporadic, and de novo mutations.