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High-content image-based cell phenotyping provides fundamental insights in a broad variety of life science areas. Striving for accurate conclusions and meaningful impact demands high reproducibility standards, even more importantly with the advent of data sharing initiatives. However, the sources and degree of biological and technical variability, and thus the reproducibility and usefulness of meta-analysis of results from live-cell microscopy have not been systematically investigated. Here, using high content data describing features of cell migration and morphology, we determine the sources of variability across different scales, including between laboratories, persons, experiments, technical repeats, cells and time points. Significant technical variability occurred between laboratories, providing low value to direct meta-analysis on the data from different laboratories. However, batch effect removal markedly improved the possibility to combine image-based datasets of perturbation experiments. Thus, reproducible quantitative high-content cell image data and meta-analysis depend on standardized procedures and batch correction applied to studies of perturbation effects.

Homozygosity for the R51Q mutation in sorting nexin 10 (SNX10) inactivates osteoclasts (OCLs) and induces autosomal recessive osteopetrosis in humans and in mice. We show here that the fusion of wild-type murine monocytes to form OCLs is highly regulated, and that its extent is limited by blocking fusion between mature OCLs. In contrast, monocytes from homozygous R51Q SNX10 mice fuse uncontrollably, forming giant dysfunctional OCLs that can become 10- to 100-fold larger than their wild-type counterparts. Furthermore, mutant OCLs display reduced endocytotic activity, suggesting that their deregulated fusion is due to alterations in membrane homeostasis caused by loss of SNX10 function. This is supported by the finding that the R51Q SNX10 protein is unstable and exhibits altered lipid-binding properties, and is consistent with a key role for SNX10 in vesicular trafficking. We propose that OCL size and functionality are regulated by a cell-autonomous SNX10-dependent mechanism that downregulates fusion between mature OCLs. The R51Q mutation abolishes this regulatory activity, leading to excessive fusion, loss of bone resorption capacity and, consequently, to an osteopetrotic phenotype in vivo. This article has an associated First Person interview with the joint first authors of the paper., Summary: Fusion of monocytes to become bone-resorbing osteoclasts is limited by an SNX10-dependent cell-autonomous mechanism. Loss of SNX10 function deregulates fusion and generates giant inactive osteoclasts.

Radiation therapy can induce cellular senescence in cancer cells leading to short-term tumor growth arrest, yet increased long-term recurrence. To better understand the molecular mechanisms involved, we developed a model of radiation-induced senescence in cultured cancer cells, which exhibited a typical senescent phenotype, including upregulation of p53 and its target p21, followed by sustained reduction in cellular proliferation, changes in cell size and cytoskeleton organization, and senescence-associated beta-galactosidase activity. A functional siRNA screen using a cell death-related library identified the mitochondrial Ser protease HtrA2 as necessary for senescence development. Mass spectrometry-based proteomic profiling of the senescent cells indicated downregulation of proteins involved in cell cycle progression and DNA repair, and upregulation of proteins associated with malignancy, while irradiation with HtrA2 inhibition upregulated cell proliferation components. In search of direct HtrA2 substrates following radiation, we determined that HtrA2 cleaves the intermediate filament protein vimentin, affecting its cytoplasmic organization. Ectopic expression of active cytosolic HtrA2 resulted in similar changes to vimentin filament assembly. Thus HtrA2, contributes to several hallmarks of senescence and is involved in the cytoskeletal reorganization that accompanies radiation-induced senescence.SummaryHere the authors identify the Ser protease HtrA2 as a novel mediator of radiation-induced senescence, necessary for sustained proliferation arrest and reorganization of the vimentin filament network.

Summary Cancer immunotherapy focuses on inhibitors of checkpoint proteins, such as programmed death ligand 1 (PD-L1). Unlike RAS-mutated lung cancers, EGFR mutant tumors have a generally low response to immunotherapy. Because treatment outcomes vary by EGFR allele, intrinsic and microenvironmental factors may be involved. Among all non-immunological signaling pathways surveyed in patients’ datasets, EGFR signaling is best associated with high PD-L1. Correspondingly, active EGFRs stabilize PD-L1 transcripts and depletion of PD-L1 severely inhibits EGFR-driven tumorigenicity and metastasis in mice. The underlying mechanisms involve the recruitment of phospholipase C-γ1 (PLC-γ1) to a cytoplasmic motif of PD-L1, which enhances PLC-γ1 activation by EGFR. Once stimulated, PLC-γ1 activates calcium flux, Rho GTPases, and protein kinase C, collectively promoting an aggressive phenotype. Anti-PD-L1 antibodies can inhibit these intrinsic functions of PD-L1. Our results portray PD-L1 as a molecular amplifier of EGFR signaling and improve the understanding of the resistance of EGFR+ tumors to immunotherapy., Graphical abstract, Highlights • Unlike promoter-mediated PD-L1 induction by IFN-γ, EGFR rapidly stabilizes PD-L1 mRNA • Once induced, PD-L1 enhances metastasis in vivo and chemotaxis toward EGF • PD-L1 physically binds with and enhances activation of phospholipase C-γ1 by EGFR • PLC-γ1 binds a PD-L1’s cytoplasmic segment implicated in protection from cytotoxicity, Unlike patients expressing mutant KRAS, patients with lung cancer harboring EGFR mutations are relatively resistant to immunotherapy. Because responses differ by EGFR allele, Ghosh et al. investigate the EGFR-to-PD-L1 axis. They report a three-way collaboration among EGFR, PD-L1, and phospholipase C-γ1. Targeting this triad may enhance responses to immunotherapy.

Cancer immunotherapy has focused on inhibitors of checkpoint proteins, such as Programmed Death Ligand 1 (PD-L1). Unlike RAS-mutated lung cancers, EGFR mutant tumors have generally low response to immunotherapy. Because treatment outcomes vary by EGFR allele, we assumed that intrinsic and microenvironmental factors are involved. Among all non-immunological signaling pathways we surveyed in patients’ datasets, EGFR signaling best associated with high PD-L1. Correspondingly, active EGFRs stabilized PD-L1’s transcripts and depleting PD-L1 severely inhibited EGFR-driven tumorigenicity and metastasis in mice. The underlying mechanisms involve physical recruitment of an auto-inhibited phospholipase C-g1 (PLC-g1) to PD-L1, which enhances trans-phosphorylation by EGFR. Once activated, pPLC-g1 stimulates calcium flux, RHO GTPases and protein kinase C, thereby establishing an aggressive mesenchymal phenotype. We show that approved anti-PD-L1 antibodies can inhibit these intrinsic functions of PD-L1. Our results portray PD-L1 as a molecular amplifier of EGFR signaling and lay the foundation for understanding resistance of EGFR mutant tumors to immunotherapy.

In this article, we discuss the complex involvement of a Rho-family GTPase, Rac1, in cell migration and in invadopodia-mediated matrix degradation. We discuss the involvement of invadopodia in invasive cell migration, and their capacity to promote cancer metastasis. Considering the regulation of invadopodia formation, we describe studies that demonstrate the role of Rac1 in the metastatic process, and the suggestion that this effect is attributable to the capacity of Rac1 to promote invadopodia formation. This notion is demonstrated here by showing that knockdown of Rac1 in melanoma cells expressing a wild-type form of this GTPase, reduces invadopodia-dependent matrix degradation. Interestingly, we also show that excessive activity of Rac1, displayed by the P29S, hyperactive, “fast cycling” mutant of Rac1, which is present in 5–10% of melanoma tumors, inhibits invadopodia function. Moreover, knockdown of this hyperactive mutant enhanced matrix degradation, indicating that excessive Rac1 activity by this mutant can negatively regulate invadopodia formation and function.

The R51Q mutation in sorting nexin 10 (SNX10) was shown to cause a lethal genetic disease in humans, namely autosomal recessive osteopetrosis (ARO). We describe here the first R51Q SNX10 knock-in mouse model and show that mice homozygous for this mutation exhibit massive, early-onset, and widespread osteopetrosis. The mutant mice exhibit multiple additional characteristics of the corresponding human disease, including stunted growth, failure to thrive, missing or impacted teeth, occasional osteomyelitis, and a significantly-reduced lifespan. Osteopetrosis in this model is the result of osteoclast inactivity that, in turn, is caused by absence of ruffled borders in the mutant osteoclasts and by their inability to secrete protons. These results confirm that the R51Q mutation in SNX10 is a causative factor in ARO and provide a model system for studying this rare disease.

SummaryThe molecular mechanisms that regulate fusion of monocytes into functional osteoclasts are virtually unknown. We describe a knock-in mouse model for the R51Q mutation in sorting nexin 10 (SNX10) that exhibits osteopetrosis and related symptoms of patients of autosomal recessive osteopetrosis linked to this mutation. Osteopetrosis arises in homozygous R51Q SNX10 mice due to a unique combination of reduced numbers of osteoclasts that are non-functional. Fusion of mutant monocytes is deregulated and occurs rapidly and continuously to form giant, non-functional osteoclasts. Mutant osteoclasts mature quickly and survive poorly in vitro, possibly accounting for their scarcity in vivo. These cells also exhibit impaired ruffled borders, which are required for bone resorption, providing an additional basis for the osteopetrotic phenotype. More broadly, we propose that the maximal size of osteoclasts is actively determined by a genetically-regulated, cell-autonomous mechanism that limits precursor cell fusion, and for which SNX10 is required.

Analysis of 501 melanoma exomes identified RASA2, encoding a RasGAP, as a tumor-suppressor gene mutated in 5% of melanomas. Recurrent loss-of-function mutations in RASA2 were found to increase RAS activation, melanoma cell growth and migration. RASA2 expression was lost in ≥30% of human melanomas and was associated with reduced patient survival. These findings identify RASA2 inactivation as a melanoma driver and highlight the importance of RasGAPs in cancer.

The adhesive interactions of cells with their environment through the integrin family of transmembrane receptors have key roles in regulating multiple aspects of cellular physiology, including cell proliferation, viability, differentiation and migration. Consequently, failure to establish functional cell adhesions, and thus the assembly of associated cytoplasmic scaffolding and signalling networks, can have severe pathological effects. The roles of specific constituents of integrin-mediated adhesions, which are collectively known as the 'integrin adhesome', in diverse pathological states are becoming clear. Indeed, the prominence of mutations in specific adhesome molecules in various human diseases is now appreciated, and experimental as well as in silico approaches provide insights into the molecular mechanisms underlying these pathological conditions.

Cell adhesion to the extracellular matrix is mediated by elaborate networks of multiprotein complexes consisting of adhesion receptors, cytoskeletal components, signaling molecules, and diverse adaptor proteins. To explore how specific molecular pathways function in the assembly of focal adhesions (FAs), we performed a high-throughput, high-resolution, microscopy-based screen. We used small interfering RNAs (siRNAs) to target human kinases, phosphatases, and migration- and adhesion-related genes. Multiparametric image analysis of control and of siRNA-treated cells revealed major correlations between distinct morphological FA features. Clustering analysis identified different gene families whose perturbation induced similar effects, some of which uncoupled the interfeature correlations. Based on these findings, we propose a model for the molecular hierarchy of FA formation, and tested its validity by dynamic analysis of FA formation and turnover. This study provides a comprehensive information resource on the molecular regulation of multiple cell adhesion features, and sheds light on signaling mechanisms regulating the formation of integrin adhesions.

Quantitative interpretation of microscope images is more challenging the higher the resolution of the images is. The reward is rich multi-parametric characterization of subcellular structures and detailed description of cell responses to perturbations. This information is the basis of high- throughput cell-based screening, searching to discover new drugs and understand molecular mechanisms at the cell level. We have developed a fast screening microscope acquiring high-resolution images from cells cultured in plastic-bottom multi-well plates, [1-4] and are writing an automated pipeline for the analysis of Tera Bytes of images from high throughput screens. The platform includes database for storage and retrieval of images, visualization with easy linkage of the analyzed results to the original multi-color images, segmentation of objects in images (including cells, nuclei, cytoskeletal fibers and sub-cellular organelles), multi-parametric quantification of morphological and multicolor fluorescence intensities, and statistical comparisons to control wells displayed in color coded scores on the plate graphics. This system was successfully employed for screening of the effect of drugs, gene over-expression and siRNA of diverse cellular properties, including cell adhesion, migration, survival and cytoskeletal organization.

Large-scale microscopy-based screens offer compelling advantages for assessing the effects of genetic and pharmacological modulations on a wide variety of cellular features. However, development of such assays is often confronted by an apparent conflict between the need for high throughput, which usually provides limited information on a large number of samples, and a high-content approach, providing detailed information on each sample. This chapter describes a novel high-resolution screening (HRS) platform that is able to acquire large sets of data at a high rate and light microscope resolution using specific "reporter cells," cultured in multiwell plates. To harvest extensive morphological and molecular information in these automated screens, we have constructed a general analysis pipeline that is capable of assigning scores to multiparameter-based comparisons between treated cells and controls. This chapter demonstrates the structure of this system and its application for several research projects, including screening of chemical compound libraries for their effect on cell adhesion, discovery of novel cytoskeletal genes, discovery of cell migration-related genes, and a siRNA screen for perturbation of cell adhesion.

Large‐scale microscopy‐based screens offer compelling advantages for assessing the effects of genetic and pharmacological modulations on a wide variety of cellular features. However, development of such assays is often confronted by an apparent conflict between the need for high throughput, which usually provides limited information on a large number of samples, and a high‐content approach, providing detailed information on each sample. This chapter describes a novel high‐resolution screening (HRS) platform that is able to acquire large sets of data at a high rate and light microscope resolution using specific “reporter cells,” cultured in multiwell plates. To harvest extensive morphological and molecular information in these automated screens, we have constructed a general analysis pipeline that is capable of assigning scores to multiparameter‐based comparisons between treated cells and controls. This chapter demonstrates the structure of this system and its application for several research projects, including screening of chemical compound libraries for their effect on cell adhesion, discovery of novel cytoskeletal genes, discovery of cell migration‐related genes, and a siRNA screen for perturbation of cell adhesion.