🚨Super proud of a new publication from our lab spearheaded by @MarieDeBorre, together with @UZLeuven, @ZOLziekenhuis and @azsintjan. We provide proof-of-concept that cell-free DNA (cfDNA) methylome analysis allows for early preeclampsia (PE) prediction. https://t.co/rOD2fbJWrl
📢 #JobAlert The research group of @bernthie is looking for a lab technician. You can contribute to various interesting research projects. Apply before 11/03:
https://t.co/LBUUPEAYiY
LISCO is looking for an experienced Business Developer in Single-Cell and Spatial Multi-Omics for Biomedicine to take our cutting-edge lab services and research capabilities to the next level.👉 Apply here: https://t.co/hGHBfewdfb or feel free to share with your network!
Researchers from the CME @UZLeuven@KU_Leuven developed a new technique that combines #genetic and #epigenetic analyses. This opens the door to faster diagnosis and more insight into the cause of #rarediseases. Covered in the national news 👇
https://t.co/IQqW0KQg29
Are you active in #sequencing and want to show your research to leading researchers? Submit an abstract for #RNGS25: https://t.co/8OMd3kCuBr
Present on stage with a poster pitch or during the poster sessions.
The abstract deadline is 15 January 2025.
#ngs#genomics#multiomics
Many thanks @NatMetabolism for publishing and highlighting our research, all members of our lab, the excellent collaboration with @bernthie and especially first author @SteveStegen
We are recruiting PhD students in cancer and metastasis biology! This is a fantastic program that brings together several leading European research institutes. Details below 👇.
🏆Congrats to our PhD researchers Mio Aerden (@bernthie lab) and Yente Monnens (@JohnCreemers lab) for winning the 1st and 2nd prize at the Genetics Retreat NVHG graduate meeting. #proud
https://t.co/94Tl1Xagmv
Lannoo et al. examined whether rare autosomal trisomies revealed by noninvasive prenatal screening reflect fetal trisomy or confined placental mosaicism and whether they are associated with ⬆️ likelihood of adverse perinatal outcomes. Full correspondence: https://t.co/tVZE9lDcNP
.@RidderKobe@bernthie comprehensively benchmark DNA methylation-based deconvolution methods, evaluating their performance and robustness to technical bias. #BiotechNatureComms@NatureComms
https://t.co/0aU01Wvbuz
Thanks to @ridderkobe for expertise, persistence and diligence, to other members of the lab and reviewers for their insights, and @FWOVlaanderen and @Stkstichting for support! Happy deconvolving to you all! https://t.co/VR9He2qEZg
paper alert 🚨Figuring out the cellular composition of tissues is essential for understanding diseases. DNA methylation analysis is particularly suited for this task, as deconvolution algorithms can untangle mixture signals from bulk samples into their individual components.
For sequencing-based DNA methylomes, we also assessed how sequencing depth and uniformity affect performance. This resulted in a nuanced set of recommendations for optimal deconvolution, depending on the underlying research question and goal.