Transcriptome analysis

Transcriptomics is the study of Ribonucleic acids (RNA) and provides crucial insight into the functional genome, which can provide the foundation for understanding biological mechanisms and states. Whether investigating mRNA, microRNAs, or other small RNAs, RNA serves as critical information when investigating biological systems. Multiple transcripts and their expressions can be analyzed using modern high-throughout methods to assess different pathological or physiological conditions, e.g., studying drug mode of action or characterizing molecular signatures for biomarker discovery.

At Biogenity, we offer complete transcriptomics workflows, covering everything from sample preparation to data analysis. We analyze the expression of RNA with a focus on quality and interpretability to ensure ready-to-use material for internal documentation, publications, or presentations.

If you’d like to learn more, we are happy to discuss your project and help you get the most out of your transcriptome analysis.

Let’s discuss your project

Guiding you from sample to biology

Our experts are ready to help you with your transcriptome research study. Ideally, we set up an online meeting where we get to learn about your project. Here, we discuss the different options to reach your aim.

Get a price estimate for your project

If you need an estimate for your project, we are happy to help. We encourage you to request an initial free consultation to assess which transcriptome approach fits your research aim.

By booking a meeting, you agree to our privacy policy.

Sample preparation and analysis

Tailored solutions for RNA

We always offer a free consultation to ensure we understand your aim and provide the best coverage for your research questions. Here we discuss your project and find the transcriptomics strategy suited to your research. We can work with various transcriptome samples, including biofluids, cells, extracellular vesicles, and tissue.

Experienced professionals

Biogenity's team and our partners are experts and work with the highest standards to ensure the best quality handling and analysis of your samples. We are well-experienced in finding the correct approach for answering your research question at hand, providing you with complete transparency in the methods applied.

Various platform options for transcriptomics

We pride ourselves on being able to offer various innovative Next-Generation Sequencing (NGS) platforms. Our collaborating transcriptomics laboratory has access to a wide range of Illumina instruments, including the HiSeq for high-complexity analysis, NextSeq for smaller studies, and the ultra-fast and high-performing NovaSeq.

If you’d like to see the complete platform list, follow this link.

Sensitivity and selectivity for transcriptomics

High sensitivity or selectivity may be the key to answering your research questions, depending on the research objective. Biogenity offers high-throughput transcriptome solutions to analyze entire transcriptomes, and also investigate specific gene expressions. We can detect very low RNA inputs from various cells and tissues down to < 500 pg.

Data analysis, including report, figures, and tables

Team of experts in data analysis on transcriptomics data

At Biogenity, we can perform the data analysis for you, allowing you to spend more time understanding the biology in your transcriptomics samples. Our team consists of experts in statistics, bioinformatics, and Machine- and Deep Learning (artificial intelligence methods) that do everything from filtering to generating diagnostic models.

Intergrade transcriptomics with additional data

Biogenity allows you to intergrade different data sources to answer your research questions. Suppose you want to combine omics data or use clinical data to expand the analysis of your samples. In that case, we can assist you with the data analysis to do multi-omics or machine learning studies using your data. Contact us today, and let's explore the opportunities to intergrade additional data in your research.

Bioinformatical data analysis of transcriptomics

Bioinformatics allows for much deeper data analysis of your transcriptomics data. Identify pathways, biological processes, molecular functions, cellular components, and kinases that are changing in your data. The bioinformatic data analysis includes enrichment analysis, comparative figures, and network mapping.

Interactive plots to highlight signaling pathways

With our bioinformatic data analysis, you will also get interactive plots that allow you to explore the signaling pathways that are enriched in your data. It lets you take the regulated transcripts into perspective, showing which biological pathways are potentially up or down-regulated. Biogenity's interactive plot helps you get a great understanding of what is happening in the different conditions.

Delivery and discussion

Delivered directly to your inbox

When your transcriptome analysis is ready, we deliver it directly to your inbox. Your data and reports are easy to access and secured with encryption and password protection.

You can receive your sample leftovers sent by courier, or Biogenity can safely discard them after project completion. It is entirely up to you.

Plant a tree with Biogenity and One Tree Planted

Partnering with One Tree Planted, we want to work towards a brighter future with better treatment for diseases and a healthy planet to enjoy life. For us, our children, grandchildren, and the generations to come.

Biogenity donates a dozen trees for every project delivered to support local communities, reforestation in the Amazon rainforest, and reduce CO2 emissions. See how we are making a difference together.

Post-consultation and discussion

It is important to us that you get the most out of your experiment, which is why we always offer a post-consultation where you can ask all your questions about the results. Together, we ensure that you have the best prerequisite for your further research. The consultation can also be used to explore the next step, whether you are looking to expand the project with additional omics studies or validate the results.

What you can expect:

  • Explanation of the different steps in the sample analysis
  • Discussion of the data
  • Explanation of the different steps in the data analysis
  • Q&A to the report

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