Lexogen Research Award – “High quality from low quality: Accurate gene expression profiling of low quality or FFPE samples“


We have received a large number of applications with very diverse and exciting projects proposals. After very careful evaluation we are happy to announce the winners of the Lexogen Research Award – “High quality from low quality: Accurate gene expression profiling of low quality or FFPE samples”:

  • Anne-Margrethe Krogsdam

    Institution: Department of Bioinformatics and I-Med NGS, Innsbruck Medical University, Innsbruck, Austria

  • Enzo Medico

    Institution: Laboratory of Oncogenomics, Candiolo Cancer Institute, FPO-IRCCS, Italy
    Recommendation program: Claudio Isella

  • Corey Nislow

    Institution: Faculty of Pharmaceutical Sciences, The University of British Columbia, Canada

Each of the winners will receive a QuantSeq Library Prep Kit together with a free sequencing run on Illumina NextSeq 500 and data analysis.


Sequencing for all! An award for difficult RNA samples.

Gene expression profiling using Next Generation Sequencing (NGS) is empowering an ever-increasing range of researchers to answer highly relevant biological and medical questions. At Lexogen, we are dedicated to developing innovative technologies for NGS and making these accessible for all scientists.

With the Lexogen Research Award we wish to provide a chance for researchers to utilize more NGS. We ask you to submit a description of the project where you would use NGS and Lexogen’s RNA-Seq sample prep. The winners shall be given a product of Lexogen together with a free sequencing run and data analysis.


The topic of this Research Award is “High quality from low quality: Accurate gene expression profiling of low quality or FFPE samples“.

RNA sequencing is rapidly becoming the platform of choice for gene expression profiling projects. However, not all samples are created equal, and not all researchers have the luxury of working with high quality RNA for NGS library preparation. Field-collected samples, historical samples, or heavily degraded samples from formalin-fixed paraffin-embedded (FFPE) tissues all present challenges for library preparation.

The QuantSeq family of mRNA-Seq Library Prep Kits has been developed by Lexogen to enable efficient generation of sequencing libraries also from low quality, or FFPE RNA samples. QuantSeq is Lexogen’s unique approach for expression profiling and works by sequencing the 3’ ends or any targeted regions of transcripts, significantly reducing the number of NGS reads required to determine gene expression.

Lexogen is delighted to announce its new Research Award “High quality from low quality: Accurate gene expression profiling of low quality or FFPE samples“. Submit a description of your research project, and win a QuantSeq 96 reaction 3’ mRNA-Seq library prep kit and a free sequencing run. Recommend this Research Award to a friend / colleague and win as well!


Three applications will be chosen as the winners, and shall be given QuantSeq kit, sequencing, and data analysis service.


QuantSeq 3’ mRNA-Seq Library Prep Kit with 96 preps (value of USD 2,079.00)

  • Genome-wide analysis of gene expression
  • Cost-efficient alternative to microarrays and standard RNA-Seq
  • Down to 0.5 ng of input degraded or FFPE total RNA
  • Ready-to-sequence libraries in 4.5 hours

Learn more about QuantSeq.

Courtesy of Illumina, Inc.

1 lane run of illumina NextSeq 500 with 75bp single reads and sequencing data analysis at Lexogen facility.

Who Can Apply

Any individual researcher or group in academic institutions or research organizations will be eligible for the award. Please note that official organizational email address will be needed for the application.

Recommendation program

If the topic of this award does not fit to your interests, you can still benefit from it. Simply recommend it to your friends or colleagues who might be interested to apply and ask them to write your name in the recommender section of the application form.

If the recommended person wins the award, you will receive a special prize – an Amazon voucher for USD 200.

Selection Process

The selection of the winners shall be done by the external referees, based on the relevance of utilizing QuantSeq for the project.


Dr. Carlos Cruchaga

Associate Professor at Washington University in St. Louis

Dr. Cruchaga complete his PhD in Biochemistry and Molecular Biology in 2005. After two years of postdoc research studying the genetic causes of Parkinson’s Disease in Dr. Pastor Lab (University of Navarra) moved to Dr. Alison Goate Lab Washington University to complete his postdoc training. Dr. Cruchaga established his laboratory at Washington University in 2011, studying the genetic architecture of neurodegenerative diseases. Specifically, his interests are focused on the in the identification and characterization of coding variants implicated in Alzheimer’s disease (AD), Parkinson’s Disease (PD), Frontotemporal dementia and stroke. The identification of such factors will help to a better understanding of the pathobiology of the disease and to the identification of new therapeutic targets. His laboratory has pioneered the use of next-generation sequencing technology to identify novel functional variants implicated on AD and PD. Additionally, Dr. Cruchaga has been using RNA-seq data from human brain tissue and network analyses in order to identify novel pathways and pathogenic implicated on neurodegenerative diseases.

Dr. Michael Wilson

Canada Research Chair in Comparative Genomics
Scientist in the Genetics & Genome Biology Program at SickKids Research Institute
Assistant Professor at the Department of Molecular Genetics at the University of Toronto

Dr. Wilson is a Scientist in the Genetics and Genome Biology Program at SickKids Research Institute, Assistant Professor at the Department of Molecular Genetics at the University of Toronto, and the Canada Research Chair in Comparative Genomics. He did his PhD in the molecular evolution lab of Ben Koop at the University of Victoria and postdoctoral research in the regulatory circuitry group of Duncan Odom at the University of Cambridge. The Wilson lab uses genomic technologies, multi-species comparisons, bioinformatics and genome editing to uncover gene and genome regulatory mechanisms that are relevant to developmental and disease processes.



The application process is closed.