This is a block seminar covering topics related to miRNAs and their use in clinical applications. Tutor:

Dates:

Registration *from October 16 to 23, 2018 HERE
Kick-off meeting [optional]October 26, 2018 – 3 p.m. (s.t.) – E2.1, room 206
Deadline to (de-)register in HISPOS OR de-register from seminar *November 16, 2018 (3 weeks after the kick-off meeting)
Deadline for feedback ** [optional]January 20, 2019
PresentationsFebruary 18, 2019
Summary submission deadlineFebruary 25, 2019
* If you want to de-register from the seminar, please send the tutor an email irrespectively whether you (de)registered in HISPOS or not.

**If you would like to get feedback about your slides, e.g. to improve your presentation before the talk, send your slides to the tutor before the feedback deadline. We strongly encourage you to take this opportunity. Before sending in the slides, check out our presentations guidelines. Please note: The more complete the submitted presentation the more helpful the feedback can be. Please try to avoid submitting half-finished slides.

Place and Time:

  • E2.1, room 206, 9 a.m. (s.t.)

Certificate requirements:

  • Successful presentation:
    • Talk: 40 minutes (seminar)
    • Questions from the audience after the presentation
  • Attendance to all presentations
  • Submitting a summary (ca. 2 pages)

Topics

Nr.PresentationTopicParticipant
1SeminarHigh-throughput qRT-PCR validation of blood microRNAs in non-small cell lung cancerMarkus D.
2SeminarTumor MicroRNA Expression Profiling Identifies Circulating MicroRNAs for Early Breast Cancer DetectionShakhawat N.
3SeminarMicroRNAs accurately identify cancer tissue originAnurag N.
4SeminarBioinformatics-Based Identification of MicroRNA-Regulated and Rheumatoid Arthritis-Associated GenesAnnekathrin L.
5SeminarImproving microRNA target prediction with gene expression profilesSanjana B.
6SeminarTechnical Stability and Biological Variability in MicroRNAs from Dried Blood Spots: A Lung Cancer Therapy-Monitoring ShowcaseItrat R.
7SeminarThe Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and DiseaseBasak U.