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EmbryoNet: using deep learning to link embryonic phenotypes to signaling pathways
Evolutionarily conserved signaling pathways are essential for early embryogenesis, and
reducing or abolishing their activity leads to characteristic developmental defects …
reducing or abolishing their activity leads to characteristic developmental defects …
Modelling human genetic disorders in Xenopus tropicalis
Recent progress in human disease genetics is leading to rapid advances in understanding
pathobiological mechanisms. However, the sheer number of risk-conveying genetic variants …
pathobiological mechanisms. However, the sheer number of risk-conveying genetic variants …
A review on deep learning-driven drug discovery: Strategies, tools and applications
It takes an average of 10-15 years to uncover and develop a new drug, and the process is
incredibly time-consuming, expensive, difficult, and ineffective. In recent years the dramatic …
incredibly time-consuming, expensive, difficult, and ineffective. In recent years the dramatic …
Benchtop mesoSPIM: a next-generation open-source light-sheet microscope for cleared samples
In 2015, we launched the mesoSPIM initiative, an open-source project for making light-sheet
microscopy of large cleared tissues more accessible. Meanwhile, the demand for imaging …
microscopy of large cleared tissues more accessible. Meanwhile, the demand for imaging …
Uncovering developmental time and tempo using deep learning
During animal development, embryos undergo complex morphological changes over time.
Differences in developmental tempo between species are emerging as principal drivers of …
Differences in developmental tempo between species are emerging as principal drivers of …
Reflective multi-immersion microscope objectives inspired by the Schmidt telescope
Imaging large, cleared samples requires microscope objectives that combine a large field of
view (FOV) with a long working distance (WD) and a high numerical aperture (NA). Ideally …
view (FOV) with a long working distance (WD) and a high numerical aperture (NA). Ideally …
Open problems in mathematical biology
Biology is data-rich, and it is equally rich in concepts and hypotheses. Part of trying to
understand biological processes and systems is therefore to confront our ideas and …
understand biological processes and systems is therefore to confront our ideas and …
HNF1B alters an evolutionarily conserved nephrogenic program of target genes
K Grand, M Stoltz, L Rizzo, R Röck… - Journal of the …, 2023 - journals.lww.com
Background Hepatocyte nuclear factor-1 β (HNF1B) is an essential transcription factor
during embryogenesis. Mutations in HNF1B are the most common monogenic causes of …
during embryogenesis. Mutations in HNF1B are the most common monogenic causes of …
Virtual tissue microstructure reconstruction across species using generative deep learning
Analyzing tissue microstructure is essential for understanding complex biological systems in
different species. Tissue functions largely depend on their intrinsic tissue architecture …
different species. Tissue functions largely depend on their intrinsic tissue architecture …
Deletion upstream of MAB21L2 highlights the importance of evolutionarily conserved non-coding sequences for eye development
Anophthalmia, microphthalmia and coloboma (AMC) comprise a spectrum of developmental
eye disorders, accounting for approximately 20% of childhood visual impairment. While non …
eye disorders, accounting for approximately 20% of childhood visual impairment. While non …