A polarized FGF8 source specifies frontotemporal signatures in spatially oriented cell populations of cortical assembloids.

Organoids generating major cortical cell types in distinct compartments are used to study cortical development, evolution and disorders. However, the lack of morphogen gradients imparting cortical positional information and topography in current systems hinders the investigation of complex phenotypes. Here, we engineer human cortical assembloids by fusing an organizer-like structure expressing fibroblast growth factor 8 (FGF8) with an elongated organoid to enable the controlled modulation of FGF8 signaling along the longitudinal organoid axis.

Multilayered VBC score predicts sgRNAs that efficiently generate loss-of-function alleles.

CRISPR-Cas9 screens have emerged as a transformative approach to systematically probe gene functions. The quality and success of these screens depends on the frequencies of loss-of-function alleles, particularly in negative-selection screens widely applied for probing essential genes. Using optimized screening workflows, we performed essentialome screens in cancer cell lines and embryonic stem cells and achieved dropout efficiencies that could not be explained by common frameshift frequencies.

Differential transcriptional modulation of biological processes in adipocyte triglyceride lipase and hormone-sensitive lipase-deficient mice.

Adipocyte triglyceride lipase (ATGL) and hormone-sensitive lipase (HSL) are intracellular lipases that mobilize triglycerides, the main energy source in mammals. Deletion of genes encoding ATGL (Pnpla2) or HSL (Lipe) in mice results in striking phenotypic differences, suggesting distinct roles for these lipases. The goal of the present study was to identify the biological processes that are modulated in the metabolic tissues of ATGL- and HSL-deficient mice.

Molecular processes during fat cell development revealed by gene expression profiling and functional annotation.

Background: Large-scale transcription profiling of cell models and model organisms can identify novel molecular components involved in fat cell development. Detailed characterization of the sequences of identified gene products has not been done and global mechanisms have not been investigated. We evaluated the extent to which molecular processes can be revealed by expression profiling and functional annotation of genes that are differentially expressed during fat cell development.