DNA methylation signatures of diseases

Q&A: Coffee break with TRANSFAC

October 29th at 6 PM CET

FREE online seminar

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Seminar Description

In this webinar Prof. Dr. Alexander Kel, the CEO and CSO of geneXplain GmbH, will address the exciting topic of DNA methylation changes observed in various pathologies with a focus on DNAm signatures of Kabuki syndrome and CHARGE syndrome – two rare genetic diseases belonging to the family of chromatinopathies. Alexander will demonstrate how DNA methylation data analysis in the geneXplain platform and Genome Enhancer tool can reveal unique patterns of DNAm alterations specific for the studied pathology, and how mutual DNAm changes in two different pathologies can be identified, potentially explaining some of the shared symptoms between the two different pathological conditions. 

The following main topics will be in the focus of this webinar:

  • DNA methylation: why is it important and how to track its changes
  • Identification of disease DNAm signature
  • Search for prospective drug targets and treatments on the basis of DNAm data analysis
  • DNAm signatures of CHARGE and Kabuki syndromes on the basis of GSE97362 dataset analysis
  • Identification of shared DNAm changes between different pathologies

What you will learn in this webseminar 

  • How to process DNA methylation data
  • How do identify DNA methylation signature of the studied pathology
  • How to identify prospective drug targets and treatments based on the DNAm data analysis

Seminar Schedule

The session will start on October 29th at 6 PM CET with a lecture from Prof. Dr. Alexander Kel (approx. 1 hour) and will be continued with a Q&A session addressing the questions coming from the attendees of the online event (up to 30 minutes).

What You Get

  • 1 hour lecture on artificial promoter construction provided by one of the key opinion makers in the field of gene regulation
  • 30 minutes interactive Q&A session addressing your questions
  • Time-unlimited access to the video record of the session
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The Lecturer

  • Alexander Kel received his Ph.D. in Bioinformatics, Molecular Biology and Genetics in 1990 and has has over 35 years of research experience in Bioinformatics
  • He studied at Novosibirsk State University, obtaining an M.S. in biology with a focus on mathematical biology in 1985
  • His work spans numerous bioinformatics branches (sequence analysis, gene recognition, promoter/enhancer analysis and prediction, prediction of RNA secondary structure, analysis of signal transduction pathways, identification of drug targets, systems biology and systems medicine)
  • He is the originator of the “fuzzy puzzle” concept for gene regulatory regions modeling
  • Developed “upstream analysis” for identifying biomarkers and drug targets in various diseases
  • Participated in over 20 national and international research projects
  • Author of more than 130 scientific publications and several book chapters on bioinformatics and systems biology
  • CEO and CSO of geneXplain GmbH, Wolfenbüttel, Germany
  • Visiting Professor at Royal College of Surgeons in Ireland (RCSI), Dublin, Ireland

Prerequisites

Basic knowledge of biochemistry and molecular biology. No programming skills are required.

To Whom It Might Be Interesting

  • Biologists and bioinformaticians working in the area of epigenetic gene regulation
  • Biologists, bioinformaticians, or medical researchers working in the area of rare diseases
  • Students interested in gene regulation aspects

FAQ

That’s ok! All registered course attendees will receive access to the video record of the session together with the presentation materials. 

You can ask your questions live during the online event using the Q&A section of the online webinar, or you can send us your questions in advance using the form on this page and Prof. Dr. Alexander Kel will address them at the online event.

Sure! All duly licensed users will be able to repeat all steps of the analysis that will be shown by Prof. Dr. Alexander Kel during the online event using their TRANSFAC full package accounts.

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