Bulk RNA Sequencing Service | Quintara Biosciences

Overview

Bulk RNA sequencing is an essential tool for transcriptome-wide studies, offering valuable insights into differential gene expression, alternative splicing, allele-specific expression, and time-series experiments. This technique enables a deep analysis of gene activity and transcriptional variations across conditions.

Our library preparation process begins with RNA as the starting material, employing Poly-A enrichment to selectively isolate mRNA. This ensures the highest-quality sequencing data, enabling precise and reliable gene expression profiling.

Promotion

Offer:
Starting from $99.00 promotion price, including Library Preparation + Sequencing

•  Starting Material: RNA
•  Library Preparation: Poly-A enrichment (mRNA)
•  Data Delivery: FASTQ file with 20M reads

Terms and Condition:
•  This promotional offer is valid for qualifying Bulk RNA-seq orders from May 1 to June 30, 2026.
• The discount will be applied automatically when you place your order through the QuinGo online portal (Promo Code: Q2RNASeq).
•  Quintara Biosciences reserves all rights to this promotion.

Easy Submission

Free same-day sample pick-up
5-10 Business Days

Full workflow support
Stringent

High-quality QC, reliable quality
Good Communication

Professional PhD team

What Bulk RNA-seq is used for ?

Differential Gene Expression

Transcriptome-wide Expression Profiling

Cost-effective, High-throughput Studies

• Condition vs control comparisons

• Drug or perturbation response

• studies Time-course experiments

• Gene-level expression quantification

• Pathway and functional enrichment analysis

• Sample clustering and global expression patterns

• Large cohorts and biological replicates

• Screening and pilot experiments

• Projects requiring fast turnaround at low cost

Need help with a custom order?

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Workflow

Multiple starting materials available, with optional rRNA depletion or mRNA enrichment during library preparation. High-quality QC and a variety of selectable data outputs.

RNA Input

You may provide purified RNA, or we can perform RNA extraction as the starting material.
Library Preparation

mRNA enrichment/rRNA depletion → library preparation → library QC
Sequencing

FASTQ delivery starting from 20M reads per sample.
Data Analysis

Differential gene expression analysis.

Services

Sequencing Depth	Turnaround Time	Add-on	Library Preparation
20M SE (40M PE) Reads	5-10 Business Days	• Deeper sequencing • Additional customized analysis	mRNA enrichment OR rRNA depletion
25M SE (50M PE) Reads	5-10 Business Days
30M SE (60M PE) Reads	5-10 Business Days
40M SE (80M PE) Reads	5-10 Business Days

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Choose the Services According to Your Needs

	mRNA-Seq	Total RNA-Seq
Target RNA	mRNA	mRNA+IncRNA
Designed For	Gene expression profiling with a focus on coding RNA	Gene expression profiling including non-coding RNA
RNA Selection Method	Poly(A) selection	rRNA depletion
Starting Material	• Fresh, frozen or fixed/FFPE • Total RNA, cells, tissue	• Fresh, frozen or fixed/FFPE • Total RNA, cells, tissue
Principles

Data & Reports Demo

Expression Quantification
Sample Relationship
Differential Expression Analysis
GO Enrichment Analysis
KEGG Enrichment Analysis
Main Result Directory

Expression density plot

Expression density plots compare the global expression distribution among samples. Similar curves suggest that samples have comparable overall expression profiles.

Expression boxplot

Boxplots summarize the median, quartile range, and outlier distribution of expression values. They help identify samples with abnormal global expression patterns.

PCA plot

PCA reduces high-dimensional gene expression data into major components. It helps show whether biological replicates cluster together and whether groups are separated.

Sample correlation heatmap

Sample correlation analysis measures similarity between expression profiles. High correlation within the same group supports good reproducibility among biological replicates.

Volcano plots

Volcano plots show fold change and statistical significance at the same time. Genes far from the center and above the significance threshold are the main candidates for biological interpretation.

Differential gene heatmaps

The heatmap displays expression profiles of differential genes across all samples. It helps evaluate whether samples cluster by group and whether gene sets show coordinated regulation.

GO Bar Plot

GO bar plots show the most significant enriched GO terms. Bar height represents enrichment significance and makes the top functional terms easy to compare.

GO Bubble Plot

GO bubble plots summarize rich factor, GO term, gene count, and enrichment significance. They help compare both the strength and size of enriched functions.

KEGG Bubble Plot

KEGG bubble plots summarize rich factor, pathway name, gene count, and enrichment significance. They help identify pathways with strong enrichment and enough supporting genes.

KEGG Pathway Maps

Significant KEGG pathway maps were generated using pathview. Gene log2 fold-change values are mapped to pathway genes, helping connect gene regulation direction with pathway position.

Result Directory	Content
0_Information	Project information, sample information, comparison design, genome information, and software information
1_QC	Raw data summary, clean data summary, and filtered clean reads
2_STAR	STAR alignment BAM files, STAR logs, and mapping statistics
3_Expression	Gene count matrix, expression matrix, expression distribution plots, PCA results, and sample correlation results
4_DiffExp	DESeq2 results, annotated DEG tables, DEG lists, and DEG statistics
5_Volcano	Volcano plots for each comparison
6_Heatmap	Differential gene heatmaps and heatmap matrices
7_GO	GO enrichment tables, bar plots, bubble plots and DAG plots
8_KEGG	KEGG enrichment tables, bar plots, bubble plots and pathway maps

Sample Guidelines

Sample Requirements

Standard Sample Type
• Mouse tissue
• Cell pellets
• Purified RNA
Standard Volume
• 50 μL RNA at 100 ng/ μL, RIN＞7
• 250,000 cells
• 1 gram tissue
Deliverables

FASTQ Files
• Per-sample FASTQ output
• 20M- 40M SE reads per sample
Data Analysis
• QC report
• Differential gene expression analysis
• GOI analysis