Biology subjects

Brino, L.

Publications and source records attributed to Brino, L..

4 recordsLinked to original sources

bioRxiv2023

JUMP Cell Painting dataset: morphological impact of 136,000 chemical and genetic perturbations

Image-based profiling has emerged as a powerful technology for various steps in basic biological and pharmaceutical discovery, but the community has lacked a large, public reference set of data from chemical and genetic perturbations. Here we present data generated by the Joint Undertaking for Morphological Profiling (JUMP)-Cell Painting Consortium, a collaboration between 10 pharmaceutical companies, six supporting technology companies, and two non-profit partners. When completed, the dataset will contain images and profiles from the Cell Painting assay for over 116,750 unique compounds, over-expression of 12,602 genes, and knockout of 7,975 genes using CRISPR-Cas9, all in human osteosarcoma cells (U2OS). The dataset is estimated to be 115 TB in size and capturing 1.6 billion cells and their single-cell profiles. File quality control and upload is underway and will be completed over the coming months at the Cell Painting Gallery: https://registry.opendata.aws/cellpainting-gallery. A portal to visualize a subset of the data is available at https://phenaid.ardigen.com/jumpcpexplorer/.

bioinformatics↗

bioRxiv2022

Machine learning-aided multidimensional phenotyping of Parkinson's disease patient stem cell-derived midbrain dopaminergic neurons

Combining multiple Parkinsons disease (PD) relevant cellular phenotypes might increase the accuracy of midbrain dopaminergic (mDA) in vitro models. We differentiated patient-derived induced pluripotent stem cells (iPSCs) with a LRRK2 G2019S mutation, isogenic control and genetically unrelated iPSCs into mDA neurons. Using automated fluorescence microscopy in 384-well plate format, we identified elevated levels of -synuclein and Serine 129 phosphorylation (pS129), reduced dendritic complexity, and mitochondrial dysfunction. Next, we measured additional image-based phenotypes and used machine learning (ML) to accurately classify mDA neurons according to their genotype. Additionally, we show that chemical compound treatments, targeting LRRK2 kinase activity or -synuclein levels, are detectable when using ML classification based on multiple image-based phenotypes. We validated our approach using a second isogenic patient derived SNCA gene triplication mDA neuronal model. This phenotyping and classification strategy improves the exploitability of mDA neurons for disease modelling and the identification of novel PD drug targets.

neuroscience↗

bioRxiv2020

Deubiquitylase UCHL3 drives error correction at kinetochores and chromosome segregation independent of spindle assembly checkpoint

Equal segregation of chromosomes during mitosis ensures euploidy of daughter cells. Defects in this process may result in imbalance in chromosomal composition and cellular transformation. Two surveillance pathways, the spindle assembly checkpoint (SAC) and the error-correction (EC), exist at kinetochores that monitor microtubule attachment and faithful segregation of chromosomes at the metaphase to anaphase transition. However, the molecular understanding of the interplay between EC and SAC signaling remains limited. Here we describe a role of deubiquitylase UCHL3 in the regulation of EC pathway during mitosis. Downregulation or inhibition of UCHL3 leads to improper attachments of chromosomes to spindle microtubules and to chromosome alignment defects during metaphase. Frequent segregation errors during anaphase and consequently aneuploidy is also observed upon inactivation of UCHL3. Surprisingly, UCHL3 is not involved in SAC signaling as both recruitment of SAC proteins to kinetochores and timely anaphase onset are not perturbed in UCHL3-deficient cells. Mechanistically, UCHL3 interacts with and deubiquitylates the mitotic kinase Aurora B known to drive both SAC and EC signaling. UCHL3 promotes interaction of Aurora B with MCAK, important EC factor but does not regulate Aurora B binding to other interacting partners or subcellular localization of Aurora B. Our results thus suggest that UCHL3-mediated deubiquitylation functionally separates EC from SAC signaling during mitosis and is critical for maintenance of euploidy in human cells.

cell biology↗

bioRxiv2019

High-throughput fluorescence-based screen identifies the neuronal microRNA miR-124 as a positive regulator of alphavirus infection

Micro (mi)RNAs are small regulatory RNAs, which act as guide for the RISC complex to modulate the expression of target genes. In addition to their role in maintaining essential physiological functions in the cell, miRNAs can also regulate viral infections. They can do so directly by targeting RNAs of viral origin or indirectly by targeting RNAs from the host and this can result in a positive or negative outcome for the virus. Here, we performed a miRNA genome-wide screen in order to identify cellular miRNAs involved in the regulation of arbovirus infection in human cells. We identified sixteen miRNAs showing a positive effect on the virus, among which a number of neuron-specific ones such as miR-124. We confirmed that overexpression of miR-124 increases Sindbis virus (SINV) viral production and that this effect is mediated by its seed sequence. We further demonstrated that the SINV genome possesses a binding site for miR-124-3p. Both inhibition of miR-124-3p or silent mutations to disrupt this binding site in the viral RNA abolished the positive regulation. We also proved that miR-124 inhibition reduces SINV infection in human differentiated neuronal cells. Finally, we showed that the proviral effect of miR-124 is conserved for other medically relevant alphaviruses. Indeed, inhibition of miR-124 expression reduces chikungunya virus (CHIKV) viral production in human cells. Altogether, our work expands the panel of positive regulation of the viral cycle by direct binding of host miRNAs to the viral RNA and provides new insights into the role of cellular miRNAs as regulators of alphavirus infection.\n\nSIGNIFICANCE STATEMENTArthropod-borne (arbo) viruses are part of a class of pathogens that are transmitted to their final hosts by insects. Because of climate change, the habitat of some of these insects, such as mosquitoes, is shifting, thereby facilitating the emergence of viral epidemics. Among the pathologies associated with arboviruses infection, neurological diseases like meningitis or encephalitis represent a significant health burden. Using a genome-wide miRNA screen, we identified the neuronal miR-124 as a positive regulator of the Sindbis and chikungunya alphaviruses. We also showed that this effect was in part direct, thereby opening novel avenues to treat alphaviruses infection.

molecular biology↗