Decoding single cells

We improve your research on low-input samples

© Fraunhofer ITEM, Ralf Mohr

We advise our customers in finding the most appropriate solutions for scientific and diagnostic applications and bioinformatics analyses. Optimal integration of high-throughput technologies and bioinformatics interpretation ensures maximum knowledge transfer across all project levels.

Our commitment is to support clients in developing perfectly tailored solutions for single-cell or rare-cell analysis.

We offer our clients expert knowledge in next-generation sequencing and microarray technologies, in particular at the single-cell DNA and RNA levels. Our in-house developed workflows are optimized for the analysis of clinical low-input or single-cell samples, e.g. cancer cells isolated from body fluids, fine-needle aspirates and tissue specimens. However, all protocols are fully customizable to the desired applications and your sample conditions. Our workflow integrates quality-control assays for optimal sample selection, technical implementation, and bioinformatics evaluation. Constant updates of the project progress include quality-control data of samples, key laboratory parameters, and related explanations. After project completion, a detailed project report with bioinformatics analysis is provided.

Our services and expertise

Optimized sample preparation strategies for single cells and subpopulations:
Single-cell whole-genome and whole-transcriptome amplification technologies (Ampli1TM WGA and WTA, developed by the Fraunhofer ITEM team in Regensburg and the University of Regensburg), superior multi-level quality control assays for WGA and WTA samples to identify high-quality samples suited for analysis by high-throughput technologies (developed by the Fraunhofer ITEM team in Regensburg)

High-throughput molecular analysis of single cells and subpopulations:
Application and development of targeted molecular assays for single-cell analysis (panel sequencing), enhanced protocols for single-cell whole-exome sequencing, single-cell whole-genome sequencing, pure tumor cell isolation from FFPE samples and whole-exome sequencing, single-cell RNA-Seq analysis

Bioinformatic evaluation of single-cell-derived data sets:
Selection of bioinformatics evaluation level (DNA-based applications (raw data, aligned reads, variant calling, annotation), RNA-based applications (raw data, aligned reads, expression values, gene ontology, isoform prediction)), detailed bioinformatics analysis report





Christoph Andreas Klein

Contact Press / Media

Prof. Dr. Christoph Andreas Klein

Division Director of Personalized Tumor Therapy

Phone +49 941 298480-55

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Stefan Kirsch

Contact Press / Media

Dr. Stefan Kirsch

Manager of the Working Group on Innovative Molecular Technologies and Biomarker Discovery

Phone +49 941 298480-26