Drekolia M-K, Talyan S, Cordellini Emídio R, Boon RA, Guenther S, Looso M, Dumbović G, Bibli S-I (2002) Unravelling the impact of aging on the human endothelial lncRNA transcriptome. Frontiers in Genetics, 13, art. no. 1035380. View
New Publication
Zhang F, Meier AB, Poch CM, Tian Q, Engelhardt S, Sinnecker D, Lipp P, Laugwitz KL, Moretti A, Dorn T (2022) High-throughput optical action potential recordings in hiPSC-derived cardiomyocytes with a genetically encoded voltage indicator in the AAVS1 locus. Frontiers in Cell and Developmental Biology, 10:1038867 View
New Publication
Garcia-Gonzalez C, Dieterich C, Maroli G, Wiesnet M, Wietelmann A, Li X, Yuan X, Graumann J, Stellos K, Kubin T, Schneider A, Braun T (2022) ADAR1 Prevents Autoinflammatory Processes in the Heart Mediated by IRF7. Circulation Research, 131(7): 580-597. View
Career Coaching for Women Scientists
Individual hands-on career coaching in November 2022 with Anne Scharf, a female coach who is specialized in career consulting for scientists. She offers a 3-hour coaching session either in German or in English and, of course, in terms of absolute confidentiality.
Possible range of topics:
- Strategic career planning
- Project presentation – with video coaching
- Communication of career goals to team leader and asking for support
- Leadership questions
- Conflicts within the team
- Application training including professorship appointments
The coach would contact you in advance to discuss which topics to focus on.
If you are interested, please contact us: info@cardiovascular-ncrna.de.
SFB Galaxy Workshop
We are grateful to announce the next Z03 workshop on bulk RNA-seq, CHIp-seq and ATAC-seq analysis and would like to invite all of our SFB members to participate.
Date: Oct 12/13th, 2022
Venue: Goethe University Frankfurt
Maximum capacity: 17 participants
Content:
We will be utilizing the Galaxy workflow to familiarize the participants with basic tools used for analyzing bulk RNA-seq, CHIp-seq and ATAC-seq.
The analysis will include:
– Find differentially expressed genes between conditions
– Quantify expression levels per transcript
– Get familiar with the integrated Genome browser
– Find differences in chromatin accessibility
– Link differential epigenome sites to changes in gene expression
– Determine de novo or using established database which TF motifs are enriched in a set of (differential) peaks.
Registration
Please register via the SFB Office (info@cardiovascular-ncrna.de) with your name, institution and email address. Registration closes when all places are filled.