Transcriptome Sequencing

Connect the genome to the gene function

The transcriptome comprises all RNAs present in a specific cell or tissue type at a distinct time. Their presence and abundance correspond to the current metabolic state of the cells and are affected by external and internal changes. Transcriptome sequencing is a powerful method to detect and quantify RNA molecules.

Application areas and objectives for transcriptome sequencing are diverse and include

  • the analysis of differential gene expression levels, and
  • the detection of alternative splicing and previously unknown transcripts.

We offer various Transcriptome Sequencing products that provide reliable and accurate insights into the RNA present in a specific cell or tissue type at a distinct time.

CeGaT Is the Best Partner for Sequencing Your Project

High
Flexibility

Scalable for different sample types, quantities, and requirements

Accredited
Procedures

Processing according
to highest quality
standards

Outstanding
Customer Service

Constant scientific supervision of all
project steps

Quality
Made in Germany

In-house processing to maintain our reliable and trusted quality

Our Commitment to You

Fast Processing

Turnaround time
≤ 15 business days

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High Quality

Highest accuracy for all processes

Secure Delivery

Secure provision of sequenced data via in-house servers

Safe Storage

Safe storage of samples and data after project completion

Our Service

We provide a comprehensive and first-class project support – from selecting the appropriate product to evaluating the data. Each project is supervised by a committed scientist. You will have a contact person throughout the whole project.

Our service includes:

  • detailed project consulting
  • product selection tailored to your project
  • detailed bioinformatic evaluation of your data
  • detailed project report with information about sample quality, sequencing parameters, bioinformatic analysis, and results

Benefit from our dedicated support and accredited workflows.

Keyvisual RPS Our Service

Explore Our Product Portfolio for Transcriptome Sequencing

We offer Whole Transcriptome Sequencing (WTS), Coding Transcriptome Sequencing (CTS), and Flexible Solutions (TS) to address a variety of research questions. Would you like to have bioinformatic analyses performed on your data in addition to the included deliverables? Each of our products can be supplemented with further services. We are happy to advise you.

CTS Classic

WTS Classic

WTS Classic Deep

TS Flex

Species
Eukaryotes

Species
Human, mouse, rat

Species
Human, mouse, rat

Species
Eukaryotes (among them plants and fungi), prokaryotes

RNA quality & input
RIN > 8

RNA quality & input
Various quality
Low input option

RNA quality & input
Various quality
Low input option

RNA quality & input
Depends on chosen protocol

RNA Target
mRNA

RNA Target
Total RNA

RNA Target
Total RNA

RNA Target
mRNA, total RNA

Sequencing platform
Illumina

Sequencing platform
Illumina

Sequencing platform
Illumina

Sequencing platform
Illumina

Output
6 Gb (30 million clusters)

Output
6 Gb (30 million clusters)

Output
10 Gb (50 million clusters)

Output
Flexible

Included deliverables
Project report & files in FASTQ format

Included deliverables
Project report & files in FASTQ format

Included deliverables
Project report & files in FASTQ format

Included deliverables
Project report & files in FASTQ format

Bioinformatics

Raw sequencing data are automatically processed. We offer different levels of bioinformatic analysis. The default level is Level 1. With increasing bioinformatic level, more data are delivered. All higher levels include the data from the lower levels. In addition to the data, and independent of the analysis level, a project report is generated.

Level 1:

  • demultiplexing and adapter trimming of the sequencing data (FASTQ format

Level 2:

  • mapping of the sequencing data (BAM format)

Level 3:

  • normalization of read counts (TSV format)

Level 4:

  • group comparison and differential gene expression analysis (TSV format)
  • visualization in heat map, MA plot, and volcano plot (PDF format)

⚠ For the differential gene expression analysis (group comparison), a minimum of three replicates per group is required.

Level 5 (one of the following)

  1. GO term enrichment analysis (TSV and PDF format) – for selected organisms
  2. Pathway analysis (KEGG) (TSV and PDF format) – for human samples only
Bioinformatic data analysis levels of Transcriptome Sequencing

Technical Information

At CeGaT, paired-end sequencing (2 x 100 bp) is performed using Illumina sequencing platforms. If you require other sequencing parameters, please let us know!
We can provide further solutions.

Our Workflow

Hier finden Sie den gesamten Prozessablauf

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Support & Offer

Support &
Offer

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Sample Receipt & Quality Control

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Library Preperation & Sequencing

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Bioinformatic Analysis & Data Delivery

Further Information on Transcriptome Sequencing

Transcriptome sequencing is also known as RNA Sequencing (RNA seq). Using this approach, the present RNA molecules are analyzed at a certain time point within a sample. Thus, the metabolic state of a certain sample at a distinct time is displayed and reflects the biological state of the cells. Transcriptome sequencing enables the identification of alternative genes, spliced transcripts, post-transcriptional modifications, gene fusions, and changes in gene expression over time, over treatment or between different groups. Thus, with transcriptome sequencing, gene function and gene structure can be interpreted. Furthermore, the function of non-protein coding RNAs can be analyzed. Transcriptome sequencing can reveal molecular mechanisms of disease occurrence and specific biological processes. Additionally, rare or unknown transcripts can be identified, as well as variable cleavage sites and coding sequence single nucleotide polymorphisms.

RNA seq has advantages over other transcriptomic technologies, such as microarrays. It is highly sensitive, allowing for the detection and quantification of almost all transcripts in the cell. Additionally, RNA seq accurately determines each single nucleotide of every transcript. In contrast to, for example, microarray technologies, RNA seq has no difficulties with cross-reactions or background noise from fluorescence signals.

Within RNA seq, different approaches can be used. It is possible to either analyze the whole transcriptome or the coding transcriptome. With whole transcriptome sequencing, coding RNA as well as many types of non-coding RNAs are covered. In contrast, coding transcriptome sequencing targets the mRNA molecules. Its main objective is the quantification of gene expression and the differential gene expression analysis.

Thus, depending on the experimental setup or research objective, total RNA or messenger RNA can be sequenced. Total RNA comprises both – coding and non-coding RNA. We call this product WTS, for Whole Transcriptome Sequencing. The RNA isolation can be done from cells, blood, or even from FFPE embedded tissue. It can be done either by you or by CeGaT. Total RNA contains many different types of RNA, such as messenger RNA, ribosomal RNA, and non-coding RNA.

After reverse transcription, the addition of adapters and barcodes, and the PCR amplification step, the final library is sequenced on one of our state-of-the-art sequencing instruments. Even challenging samples, such as fragmented RNA, perform well with our total RNA protocols. Since ribosomal RNA comprises more than 80% of all cellular RNAs, we recommend rRNA depletion. We can analyze the transcriptome of mammals, plants, viruses, and bacteria, and we have established many different total RNA protocols for all kinds of applications. The whole transcriptome analysis enables a comprehensive and genome-wide overview of all transcripts in an organism, and genome-wide expression analysis. You can analyze introns, exons, but also regions in between to shed light into splicing mechanisms.

Sequencing of the coding RNA is the most common transcriptome sequencing approach. We call this product CTS, for Coding Transcriptome Sequencing. The messenger RNA has a coding region, which is flanked by two UTRs, so-called untranslated regions, at the 5’ and 3’ end. It carries a 5’ cap and a poly adenylation, the so-called poly-A tail, at the 3’ end. This poly-A tail enhances the stability and the translation efficiency of the mRNA. Most eukaryotes carry this poly-A tail, such as mammals, insects, plants, fungi, and fish. However, it is not present in the mRNA of bacteria. This poly-A tail is essential for the mRNA library preparation. mRNA constitutes only 1-5% of the total RNA. Once the RNA has been isolated from cells or from tissue, the mRNA needs to be purified, using poly-T oligos, which are attached to magnetic beads, and which bind to the poly-A tail. And again, the final sequencing library is then analyzed on one of our modern sequencing instruments.

We can analyze the coding transcriptome of mammals, plants, and other eukaryotes. mRNA sequencing is very sensitive, especially, if you want to analyze mRNA, which is only expressed at very low levels. The main objective of mRNA sequencing is the quantification of gene expression and differential gene expression analysis. It is often used to analyze gene expression levels between different groups, especially when you are planning drug treatment- or disease-related experiments.

Downloads

Transcriptome Sequencing Flyer (EN)
Transcriptome Sequencing Tech Note (EN)
Transcriptome Sequencing Description

Contact Us

Do you have a question or are you interested in our service? Feel free to contact us. We will take care of your request as soon as possible.

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Start Your Project with Us

We are happy to discuss sequencing options and to find a solution specifically tailored to your clinical study or research project.

When getting in contact, please specify sample information including starting material, number of samples, preferred library preparation option, preferred sequencing depth and required bioinformatic analysis level, if possible.