N2Jenomics Lab Pvt. Ltd. offers Ultra-Low Input RNA Sequencing for samples with limited RNA quantities or small cell numbers. Our optimized workflow enables reliable transcriptome profiling from rare, precious, or low-input samples while maintaining high sensitivity and data quality.

What Is Ultra-Low Input RNA Sequencing?

Ultra-low input RNA sequencing is designed for transcriptome analysis when only picogram amounts of RNA or a few hundred cells are available. Advanced library preparation methods enable accurate amplification of low-input RNA while preserving transcript diversity and minimizing bias.

This approach is ideal for studying rare cell populations and valuable clinical samples that cannot provide sufficient RNA for conventional RNA sequencing.

Applications

Ultra-low input RNA sequencing is well suited for:

• • Stem cell research

• • Circulating tumor cell (CTC) analysis
• • Small tissue biopsies
• • Rare cell populations
• • Clinical and archived samples
• • Developmental biology
• • Cancer and precision medicine research
• • Low-input gene expression studies

Key Features & Advantages

• Supports Minimal RNA Input

Generates high-quality sequencing libraries from picogram-level RNA or limited cell numbers.

• High Sensitivity

Accurately detects low-abundance transcripts while preserving the original transcriptome profile.

• Comprehensive Transcriptome Analysis

Enables simultaneous analysis of:

• - mRNA expression
• - Long non-coding RNAs (lncRNAs)
• - Alternative splice variants
• - Gene expression changes

• Ultra-Low Input Small RNA Sequencing

Supports small RNA profiling from nanogram quantities of RNA, including miRNAs and other regulatory small RNAs with minimal amplification bias.

• Reduced Amplification Bias

Optimized reverse transcription and library preparation improve transcript representation and sequencing accuracy.

• End-to-End Solution

Complete service covering sample quality assessment, library preparation, high-throughput sequencing, bioinformatics analysis, and comprehensive reporting.

Ultra-Low Input RNA Sequencing Workflow

Service Specification

	Sample Requirements Total RNA ≥ 20 ng, Minimum Quantity: 20 pg, Concentration≥ 1 pg/µL OD A260/A280 ratio ≥ 1.8, A260/230 ratio≥ 1.8, RIN ≥ 6 All total RNA samples should be DNA-free RNA should be stored in nuclease-free water or RNA Stable. Note: Sample amounts are listed for reference only. For detailed information, please contact us with your customized requests.
	Sequencing Strategies llumina NovaSeq 6000 PE 50/75/100/150 Quality score Q30 of≥80% 20 million reads
	Data Analysis We provide multiple customized bioinformatics analyses: Differential gene-expression analysis RNA structure analysis Target gene prediction and functional analysis Detecting novel and rare transcripts and mutations Novel transcript prediction PCA plot, heatmap, pathway analysis Note: Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Analysis Pipeline

Deliverables

• • The original sequencing data
• • Experimental results
• • Data analysis report
• • Details in Ultra Low RNA Sequencing for your writing (customization)

1. What is Ultra Low RNA Sequencing?

Ultra Low RNA Sequencing (ULRS) represents a state-of-the-art technology designed to produce highly accurate sequencing data from minuscule quantities of RNA samples. This method is strategically positioned to address complex biological inquiries, such as single-cell RNA sequencing (scRNA-seq), the analysis of rare cell populations, and the profiling of RNA extracted from clinical specimens.

2. What are the applications of Ultra Low Input RNA Sequencing?

Ultra Low Input RNA Sequencing is pivotal across multiple domains: it enables scRNA-seq to probe cellular transcriptomes, identifies rare cell types, and extracts RNA from clinical samples for diagnostic insights. In developmental biology and stem cell research, ULRS elucidates gene expression dynamics, offering nuanced RNA profiling in diverse biological contexts, thus advancing scientific understanding.

3. What are the requirements for samples in Ultra Low RNA Sequencing?

In Ultra Low RNA Sequencing (ULRS), the integrity of samples stands as a critical factor to avert RNA deterioration, mandating inputs of top-notch RNA quality. The method's sensitivity to minute RNA quantities highlights the compatibility of samples ranging from picograms to nanograms. Maintaining sample purity serves as a pivotal safeguard against contaminants that may distort sequencing outcomes.

4. What should be considered in data analysis for Ultra Low RNA Sequencing?

During data analysis in Ultra Low RNA Sequencing, meticulous data preprocessing becomes imperative to validate quality and minimize noise for heightened precision in subsequent analyses. Evaluation of gene expression levels hones in on accurate quantification, while a deep dive into functional annotation aids in unraveling the biological significance of differentially expressed genes. Integration analysis further augments insights by amalgamating RNA sequencing data with other omics datasets, thereby providing a comprehensive understanding of biological mechanisms.