Morphoregulatory ADD3 underlies glioblastoma growth and formation of tumor-tumor connections.

Glioblastoma is a major unmet clinical need characterized by striking inter- and intra-tumoral heterogeneity and a population of glioblastoma stem cells (GSCs), conferring aggressiveness and therapy resistance. GSCs communicate through a network of tumor-tumor connections (TTCs), including nanotubes and microtubes, promoting tumor progression. However, very little is known about the mechanisms underlying TTC formation and overall GSC morphology.

A benchmark of computational methods for correcting biases of established and unknown origin in CRISPR-Cas9 screening data.

Background: CRISPR-Cas9 dropout screens are formidable tools for investigating biology with unprecedented precision and scale. However, biases in data lead to potential confounding effects on interpretation and compromise overall quality. The activity of Cas9 is influenced by structural features of the target site, including copy number amplifications (CN bias).

Congenital Hyperinsulinism of a Large Italian Cohort: A Retrospective Study.

Introduction: To evaluate and describe the diagnostic process, medical, nutritional, and surgical approach, and neurological outcome, we report data from a large Italian cohort of patients with congenital hyperinsulinism (CHI).

Methods: We retrospectively analyzed 154 CHI patients admitted to Ospedale Pediatrico Bambino Gesù from 1985 to 2022.

Results: Hypoglycemia occurred within the first year of life in 85.

Benchmark Software and Data for Evaluating CRISPR-Cas9 Experimental Pipelines Through the Assessment of a Calibration Screen.

Genome-wide genetic screens using CRISPR-guide RNA libraries are widely performed in mammalian cells to functionally characterize individual genes and for the discovery of new anticancer therapeutic targets. As the effectiveness of such powerful and precise tools for cancer pharmacogenomics is emerging, tools and methods for their quality assessment are becoming increasingly necessary. Here, we provide an R package and a high-quality reference data set for the assessment of novel experimental pipelines through which a single calibration experiment has been executed: a screen of the HT-29 human colorectal cancer cell line with a commercially available genome-wide library of single-guide RNAs.