N2Jenomics Lab Pvt. Ltd. provides comprehensive transcriptomics solutions designed to support diverse research applications. From experimental planning and library preparation to sequencing and bioinformatics, our experts deliver high-quality, reliable data tailored to your research goals.

What Is Transcriptomics?

Transcriptomics is the study of all RNA molecules expressed in a cell or tissue under specific conditions. The complete collection of these RNA molecules—known as the transcriptome—includes mRNA, rRNA, tRNA, and various non-coding RNAs.

Using next-generation sequencing (NGS), transcriptomics enables researchers to:

• • Quantify gene expression across the genome

• • Discover novel transcripts and splice variants
• • Identify gene fusions and RNA editing events
• • Detect SNPs and sequence variations
• • Investigate regulatory non-coding RNAs

• Transcriptome analysis is widely applied in developmental biology, disease research, biomarker discovery, functional genomics, and precision medicine.

Transcriptomics Workflow

Our standardized workflow ensures accurate and reproducible results:

• RNA Extraction & Quality Assessment

• Library Preparation

• - Poly(A) mRNA enrichment or rRNA depletion
• - RNA fragmentation
• - cDNA synthesis
• - Adapter ligation
• - PCR amplification

• High-Throughput Sequencing

• - Illumina short-read sequencing
• - PacBio long-read sequencing for full-length transcripts

• Bioinformatics Analysis

• - Data quality control
• - Read alignment or de novo assembly
• - Gene expression quantification
• - Differential expression analysis
• - Functional annotation and pathway analysis

Our Transcriptomics Services

• RNA Sequencing (RNA-Seq)

Comprehensive transcriptome profiling for gene expression analysis, novel transcript discovery, alternative splicing, gene fusion detection, and variant identification.

• mRNA Sequencing

Quantifies protein-coding transcripts, enabling differential gene expression, splice variant detection, RNA editing analysis, and gene fusion discovery.

• Total RNA Sequencing

Profiles both coding and non-coding RNAs for a complete view of the transcriptome.

• Small RNA Sequencing

Characterizes small regulatory RNAs, including miRNAs, siRNAs, piRNAs, snoRNAs, snRNAs, and tRNA-derived fragments.

• microRNA (miRNA) Sequencing

Accurately profiles known and novel miRNAs, supporting biomarker discovery and gene regulation studies.

• Long Non-Coding RNA (lncRNA) Sequencing

Simultaneously analyzes lncRNAs and mRNAs to investigate gene regulation and functional interactions.

• Circular RNA (circRNA) Sequencing

Identifies and quantifies circular RNAs for studies on gene regulation and disease mechanisms.

• Degradome Sequencing

Maps RNA degradation products to identify miRNA cleavage sites and predict target genes.

• Bacterial RNA Sequencing

Profiles bacterial transcriptomes to study gene expression, operon structure, and regulatory pathways.

• Ribosome Profiling (Ribo-Seq)

Analyzes ribosome-protected RNA fragments to investigate genome-wide translation with high resolution.

• Targeted RNA Sequencing

Focuses on selected genes or pathways for expression analysis, fusion detection, and allele-specific expression.

• Exosomal RNA Sequencing

Profiles RNA molecules within extracellular vesicles to support biomarker and liquid biopsy research.

• Ultra-Low Input RNA Sequencing

Optimized for limited RNA quantities or low cell numbers while maintaining high-quality transcriptome data.

• Dual RNA Sequencing

Simultaneously profiles host and pathogen transcriptomes to study their molecular interactions.

Why Choose Our Transcriptomics Services?

• Comprehensive RNA Profiling

Our workflows support both poly(A)-selected and rRNA-depleted libraries, enabling analysis of coding and non-coding RNAs.

• Supports Challenging Samples

Optimized protocols generate reliable data from degraded RNA, clinical specimens, and low-input samples.

• Strand-Specific Libraries

Preserves transcript orientation for accurate detection of antisense transcripts and overlapping genes.

• Advanced Bioinformatics

Comprehensive data analysis includes quality assessment, transcript assembly, expression profiling, differential expression, pathway enrichment, and functional annotation.

• High Sensitivity & Resolution

Detects low-abundance transcripts, splice variants, gene fusions, and single-nucleotide differences with high accuracy.

• Wide Dynamic Range

Accurately quantifies both rare and highly expressed transcripts across diverse sample types and experimental designs.