Human Technopole

Nov 22, 2024 | onlinelibrary.wiley.com | Human Technopole

Cryo-electron tomography (cryo-ET) is emerging as the method of choice for determining the structures of biological macromolecules in situ, that is, within their native context inside cells or intact extracellular particles (Young & Villa, 2023; McCafferty et al., 2024).

Sep 12, 2024 | cell.com | Human Technopole

Keywords tubulin posttranslational modification motile cilia tubulin code cryo-ET U-ExM tubulin glycylation tubulin polyglutamylation Chlamydomonas cilia motility microtubule protofilaments molecular nanopatterns Introduction Cilia are thin, elongated, microtubule-based organelles with key conserved roles in organismal development and homeostasis.1,2,3,4 Their correct function relies on the precise organization of different macromolecular components along a microtubular scaffold called the...

Sep 4, 2024 | genomebiology.biomedcentral.com | Human Technopole

Author Correction: A benchmark of computational methods for correcting biases of established and unknown origin in CRISPR-Cas9 screening data Author Correction Open access Published: 04 September 2024 Genome Biology volume 25, Article number: 239 (2024) Cite this article The Original Article was published on 19 July 2024 Correction: Genome Biol 25, 192 (2024) https://doi.org/10.1186/s13059-024-03336-1 Following publication of the original article [1], the authors identified an omission in the...

Jul 19, 2024 | genomebiology.biomedcentral.com | Human Technopole

We compared the performances of CRISPRcleanR (CCR) [34], Chronos [39], Crispy [33], Local Drop Out (LDO), Generalized Additive Model (GAM) [40], Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout (MAGeCK) based on a maximum likelihood estimation method [41, 42], and the recent Geometric method introduced in [35], in terms of correction of biases observed in widely used large-scale CRISPR-Cas9 screening dataset.

Jun 26, 2024 | genomebiology.biomedcentral.com | Human Technopole

To determine the impact of immune evasion in the selective landscape of tumorigenesis, we obtained a catalog of 88 genes involved in the antigen presenting machinery or previously associated to immune evasion [18] (defined as “escape genes,” Additional file 2: Table S1). We classified 9896 TCGA patients from 31 different cancer subtypes into escaped (escape +) and non-escaped (escape −) cohorts based on the presence of a non-silent point mutation in one of these genes (Fig. 1).