High-content Profiling Research Articles

Cellular and Genetic Determinants of the Sensitivity of Cancer to α-Particle Irradiation.

Targeted α-particle-emitting radionuclides have great potential for the treatment of a broad range of cancers at different stages of progression. A platform that accurately measures cancer cellular sensitivity to α-particle irradiation could guide and accelerate clinical translation. Here, we performed high-content profiling of cellular survival following exposure to α-particles emitted from radium-223 (223Ra) using 28 genetically diverse human tumor cell lines. Significant variation in cellular sensitivity across tumor cells was observed. 223Ra was significantly more potent than sparsely ionizing irradiation, with a median relative biological effectiveness of 10.4 (IQR: 8.4-14.3). Cells that are the most resistant to γ radiation, such as Nrf2 gain-of-function mutant cells, were sensitive to α-particles. Combining these profiling results with genetic features, we identified several somatic copy-number alterations, gene mutations, and the basal expression of gene sets that correlated with radiation survival. Activating mutations in PIK3CA, a frequent event in cancer, decreased sensitivity to 223Ra. The identification of cellular and genetic determinants of sensitivity to 223Ra may guide the clinical incorporation of targeted α-particle emitters in the treatment of several cancer types. SIGNIFICANCE: These findings address limitations in the preclinical guidance and prediction of radionuclide tumor sensitivity by identifying intrinsic cellular and genetic determinants of cancer cell survival following exposure to α-particle irradiation.See related commentary by Sgouros, p. 5479.

Abstract 734: Large-scale radiogenomic profiling of patient derived xenografts (PDX)

Abstract The determinants of clinical failure after radiotherapy remains poorly understood. Although cancer derived cells grown in vitro have served as a valuable resource to identify tumor cell intrinsic determinants of radiation sensitivity, their propensity to undergo genetic selection due to non-native culture conditions reduces intratumoral heterogeneity and alters transcriptomic fidelity. We show that patient-derived xenografts (PDX) models recapitulate the genetic and transcriptomic features of the primary tumors from which they are derived. We extend this characterization to an extensive collection of PDXs derived from multiple cancer types. We propose our “10,000 mice” PDX effort, which seeks to profile up to 500 PDX across 20 cancer types with multiple single fraction doses of radiation (2, 4, 6, 8, 10 Gy). We establish the feasibility of our approach using a 3x1x1 experimental design (3 mice per PDX per dose of radiation). Initial treatment responses following single doses radiation revealed that tumors exhibit significant variation in their response to radiation. Responses in PDX correlated with clinical outcomes, mainly in patients treated with radiation or chemoradiation alone. We compare pre- and post-irradiation PDX and deoncstruct the phylogenetic architecture of tumors before and after treatment selection. We show that in a substantial proportion of the tumors profiled to date, treatment resistance is regulated by subclonal outgrowths. Taken together, our results demonstrate the feasibility of high-content profiling of PDX to identify determinants of radiation sensitivity. Note: This abstract was not presented at the meeting. Citation Format: Priyanka Gopal, Titas Bera, Craig Peacock, Mohamed Abazeed. Large-scale radiogenomic profiling of patient derived xenografts (PDX) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 734.

A High-Content Screening Assay for the Discovery of Novel Proteasome Inhibitors from Formosan Soft Corals.

The ubiquitin-proteasome system (UPS) is a major proteolytic pathway that safeguards protein homeostasis. The main 26S proteasome consists of a 20S catalytic core proteasome and a 19S substrate recognition proteasome. UPS dysfunction underlies many important clinical diseases involving inflammation, tumors, and neurodegeneration. Currently, three 20S proteasome inhibitors, bortezomib, carfilzomib, and ixazomib, have been approved for the treatment of multiple myeloma. We aim to screen UPS inhibitors for biomedical purposes. The protein interaction network of human cytomegalovirus UL76 targets UPS, resulting in aggregations of ubiquitinated proteins termed aggresomes. In this study, we demonstrated that cell-based high-content measurements of EGFP-UL76 aggresomes responded to bortezomib and MG132 treatment in a dose-dependent manner. Employing this high-content screening (HCS) assay, we screened natural compounds purified from Formosan soft corals. Four cembrane-based compounds, sarcophytonin A (1), sarcophytoxide (2), sarcophine (3), and laevigatol A (4), were found to enhance the high-content profiles of EGFP-UL76 aggresomes with relative ratios of 0.2. By comparison to the mechanistic action of proteasome inhibitors, compounds 1 and 3 modulated the accumulation of ubiquitinated proteins, with a unique pattern likely targeting 19S proteasome. We confirmed that the EGFP-UL76 aggresome-based HCS system greatly improves the efficacy and sensitivity of the identification of proteasome inhibitors.

NGS, RNA-Seq, TIL, and PTEN analyses in prostate cancer specimens from patients enrolled in the study of the Akt inhibitor ipatasertib (Ipat) combined with abiraterone acetate (AA).

310 Background: In Phase III studies, ipilimumab did not extend OS in unselected populations with metastatic castration-resistant prostate cancer (mCRPC) (Kwon, 2014; Beer, 2014), suggesting that successful cancer immunotherapy development strategies require the evaluation of treatment effects in biomarker-driven segments. In addition, PTEN loss has been identified as a potential mechanism of resistance to immunotherapy (Peng, 2016). Therefore, we explored possible associations between cancer immunity (CI)-related biomarkers and PTEN loss in mCRPC samples. Methods: Tumor samples obtained in the Phase II study of AA ± Ipat in patients with mCRPC (de Bono, ESMO 2016) were retrospectively profiled. DNA alterations and tumor mutational burden (TMB) were assessed by FoundationOne. RNA-seq analysis of multiple CI-related expression signatures was performed. Tumor-immune lymphocyte (TIL) scores were analyzed in 3 compartments (stromal, sTIL; intratumoral, iTIL; peritumoral, pTIL) based on H&E stained specimens. Up to 10 evenly distributed fields were examined; the average of these fields was used to estimate the %TILs for each compartment. Results: Strong associations were observed between multiple CI-related signatures (e.g., INFγ-induced, immune checkpoints, Treg, checkpoint inhibitors). Fewer than 10% of the samples had a high level (≥ 10% of the tumor area) of TIL infiltration in any compartment (Table). TIL scores, TMB values, PTEN status and Gleason score all appeared to be independently associated, and none were associated with CI-related gene signatures, except for a possible association between pTILs and the B-cell signature (ρ = 0.49, P < 0.0001). Conclusions: Comprehensive high-content profiling of prostate cancer samples suggests that PTEN status and CI-related biomarkers were independently associated, while TMB and TIL values were generally not associated with CI-related signatures. Clinical trial information: NCT01485861. [Table: see text]

High-content behavioral profiling reveals neuronal genetic network modulating Drosophila larval locomotor program

BackgroundTwo key questions in understanding the genetic control of behaviors are: what genes are involved and how these genes interact. To answer these questions at a systems level, we conducted high-content profiling of Drosophila larval locomotor behaviors for over 100 genotypes.ResultsWe studied 69 genes whose C. elegans orthologs were neuronal signalling genes with significant locomotor phenotypes, and conducted RNAi with ubiquitous, pan-neuronal, or motor-neuronal Gal4 drivers. Inactivation of 42 genes, including the nicotinic acetylcholine receptors nAChRα1 and nAChRα3, in the neurons caused significant movement defects. Bioinformatic analysis suggested 81 interactions among these genes based on phenotypic pattern similarities. Comparing the worm and fly data sets, we found that these genes were highly conserved in having neuronal expressions and locomotor phenotypes. However, the genetic interactions were not conserved for ubiquitous profiles, and may be mildly conserved for the neuronal profiles. Unexpectedly, our data also revealed a possible motor-neuronal control of body size, because inactivation of Rdl and Gαo in the motor neurons reduced the larval body size. Overall, these data established a framework for further exploring the genetic control of Drosophila larval locomotion.ConclusionsHigh content, quantitative phenotyping of larval locomotor behaviours provides a framework for system-level understanding of the gene networks underlying such behaviours.

Sequential high-content profiling of the IgG-autoantibody repertoire reveals novel antigens in rheumatoid arthritis.

BackgroundThe aim was to identify novel diagnostic autoantibody candidates for rheumatoid arthritis (RA) by comprehensive screening for autoreactivity.MethodWe incubated 5892 recombinant proteins coupled to fluorescent beads, with patients’ sera for the detection of IgG-autoantibodies in three independent patient cohorts: A (n = 72 patients with established RA); B/B- (n = 116 patients with early RA (B) and n = 51 CCP-negative patients with early RA from B (B-)); and C (n = 184 patients with early seronegative RA), in comparison to matched healthy controls. Intersects of significantly increased autoantibodies as determined by the Mann-Whitney test were sought.ResultScreening of 5892 antigens in RA cohorts A and B, or the seronegative cohorts B- and C revealed intersects of 23 and 13 significantly increased autoantibodies, respectively. Reactivity to three antigens was increased in all cohorts tested: N-acetylglucosamine-1-phosphate transferase, gamma subunit (GNPTG), heterogeneous nuclear ribonucleoprotein A1-like 2 (HNRNPA1), and insulin-like growth factor binding protein 2 (IGFBP2).ConclusionsComprehensive sequential screening for autoantibodies reveals novel candidates for diagnostic markers in both seropositive and seronegative RA and suggests new fields of research into the pathogenesis of RA.

Evaluating Cell Processes, Quality, and Biomarkers in Pluripotent Stem Cells Using Video Bioinformatics.

There is a foundational need for quality control tools in stem cell laboratories engaged in basic research, regenerative therapies, and toxicological studies. These tools require automated methods for evaluating cell processes and quality during in vitro passaging, expansion, maintenance, and differentiation. In this paper, an unbiased, automated high-content profiling toolkit, StemCellQC, is presented that non-invasively extracts information on cell quality and cellular processes from time-lapse phase-contrast videos. Twenty four (24) morphological and dynamic features were analyzed in healthy, unhealthy, and dying human embryonic stem cell (hESC) colonies to identify those features that were affected in each group. Multiple features differed in the healthy versus unhealthy/dying groups, and these features were linked to growth, motility, and death. Biomarkers were discovered that predicted cell processes before they were detectable by manual observation. StemCellQC distinguished healthy and unhealthy/dying hESC colonies with 96% accuracy by non-invasively measuring and tracking dynamic and morphological features over 48 hours. Changes in cellular processes can be monitored by StemCellQC and predictions can be made about the quality of pluripotent stem cell colonies. This toolkit reduced the time and resources required to track multiple pluripotent stem cell colonies and eliminated handling errors and false classifications due to human bias. StemCellQC provided both user-specified and classifier-determined analysis in cases where the affected features are not intuitive or anticipated. Video analysis algorithms allowed assessment of biological phenomena using automatic detection analysis, which can aid facilities where maintaining stem cell quality and/or monitoring changes in cellular processes are essential. In the future StemCellQC can be expanded to include other features, cell types, treatments, and differentiating cells.

Review of methods to probe single cell metabolism and bioenergetics

Single cell investigations have enabled unexpected discoveries, such as the existence of biological noise and phenotypic switching in infection, metabolism and treatment. Herein, we review methods that enable such single cell investigations specific to metabolism and bioenergetics. Firstly, we discuss how to isolate and immobilize individuals from a cell suspension, including both permanent and reversible approaches. We also highlight specific advances in microbiology for its implications in metabolic engineering. Methods for probing single cell physiology and metabolism are subsequently reviewed. The primary focus therein is on dynamic and high-content profiling strategies based on label-free and fluorescence microspectroscopy and microscopy. Non-dynamic approaches, such as mass spectrometry and nuclear magnetic resonance, are also briefly discussed.

Proximity Ligation Assay for High-content Profiling of Cell Signaling Pathways on a Microfluidic Chip

Here, we present the full integration of a proximity ligation assay (PLA) on a microfluidic chip for systematic cell signaling studies. PLA is an in situ technology for the detection of protein interaction, post-translational modification, concentration, and cellular location with single-molecule resolution. Analytical performance advances on chip are achieved, including full automation of the biochemical PLA steps, target multiplexing, and reduction of antibody consumption by 2 orders of magnitude relative to standard procedures. In combination with a microfluidic cell-culturing platform, this technology allows one to gain control over 128 cell culture microenvironments. We demonstrate the use of the combined cell culture and protein analytic assay on chip by characterizing the Akt signaling pathway upon PDGF stimulation. Signal transduction is detected by monitoring the phosphorylation states of Akt, GSK-3β, p70S6K, S6, Erk1/2, and mTOR and the cellular location of FoxO3a in parallel with the PLA. Single-cell PLA results revealed for Akt and direct targets of Akt a maximum activation time of 4 to 8 min upon PDGF stimulation. Activation times for phosphorylation events downward in the Akt signaling pathway including the phosphorylation of S6, p70S6K, and mTOR are delayed by 8 to 10 min or exhibit a response time of at least 1 h. Quantitative confirmation of the Akt phosphorylation signal was determined with the help of a mouse embryonic fibroblast cell line deficient for rictor. In sum, this work with a miniaturized PLA chip establishes a biotechnological tool for general cell signaling studies and their dynamics relevant for a broad range of biological inquiry.

A High-Resolution C. elegans Essential Gene Network Based on Phenotypic Profiling of a Complex Tissue

High-content screening for gene profiling has generally been limited to single cells. Here, we explore an alternative approach-profiling gene function by analyzing effects of gene knockdowns on the architecture of a complex tissue in a multicellular organism. We profile 554 essential C. elegans genes by imaging gonad architecture and scoring 94 phenotypic features. To generate a reference for evaluating methods for network construction, genes were manually partitioned into 102 phenotypic classes, predicting functions for uncharacterized genes across diverse cellular processes. Using this classification as a benchmark, we developed a robust computational method for constructing gene networks from high-content profiles based on a network context-dependent measure that ranks the significance of links between genes. Our analysis reveals that multi-parametric profiling in a complex tissue yields functional maps with a resolution similar to genetic interaction-based profiling in unicellular eukaryotes-pinpointing subunits of macromolecular complexes and components functioning in common cellular processes.

Abstract 4625: A biotin-label-based antibody array for high-content profiling of protein expression

Abstract Abstract: Profiling protein expression on a global scale will have significant impact on biomedical research, particularly in the discovery and development of drugs and biomarkers. Through the years, several antibody array systems have been invented and developed for multiple protein detection. However, a reliable and high-content system for protein profiling from many biological samples has yet developed. To address this problem, we have developed a high density antibody array and used this technology to uncover the potential biomarkers of ovarian cancer. In this approach, biological samples are conjugated with biotin. Antibody arrays are then used to capture the biotinylated proteins. The presence of proteins captured by the antibody chip is detected using streptavidin-conjugated fluorescent dye (Cy3 equivalent) as a reporter. The signals, which are visualized by laser scanning, are normalized using positive, negative, and internal controls. Using this biotin-label-based antibody array technology, the expression levels of 507 human, 308 mouse, 90 rat target proteins can be simultaneously detected, including cytokines, chemokines, adipokines, growth factors, angiogenic factors, proteases, soluble receptors, soluble adhesion molecules, and other proteins in a variety of samples. Most proteins can be detected at pg/ml and ng/ml levels with a CV of less than 20%. Using human biotin-based antibody arrays, we screened the serum expression profiles of 507 proteins in 47 ovarian cancer patients and 39 normal subjects. A panel of protein expression showed significant difference between normal and cancer (P<0.05). By Classification Analysis and Split-Point Score Analysis of these two groups, a small group of proteins can be used to distinguish ovarian cancer patients from normal subjects and between ovarian cancer patients and normal subjects. Our results suggest the biotin label-based antibody arrays that we have developed have great potential in applications for biomarker discovery. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 4625.

High-content profiling of cell responsiveness to graded substrates based on combinyatorially variant polymers.

We have developed a novel approach combining high information and high throughput analysis to characterize cell adhesive responses to biomaterial substrates possessing gradients in surface topography. These gradients were fabricated by subjecting thin film blends of tyrosine-derived polycarbonates, i.e. poly(DTE carbonate) and poly(DTO carbonate) to a gradient temperature annealing protocol. Saos-2 cells engineered with a green fluorescent protein (GFP) reporter for farnesylation (GFP-f) were cultured on the gradient substrates to assess the effects of nanoscale surface topology and roughness that arise during the phase separation process on cell attachment and adhesion strength. The high throughput imaging approach allowed us to rapidly identify the "global" and "high content" structure-property relationships between cell adhesion and biomaterial properties such as polymer chemistry and topography. This study found that cell attachment and spreading increased monotonically with DTE content and were significantly elevated at the position with intermediate regions corresponding to the highest "gradient" of surface roughness, while GFP-f farnesylation intensity descriptors were sensitively altered by surface roughness, even in cells with comparable levels of spreading.

Highlights of the Third Annual Biomarker World Congress: biomarkers for molecular diagnostics

With the proliferation of high-content profiling technologies available for analyzing genetic, transcriptomic, proteomic and metabolomic markers in tissues, both novel analytes and increasingly complex signatures are emerging as biomarkers supporting drug development. If prospective studies during the course of clinical development support the clinical utility of a biomarker, consideration may eventually be given to converting such research-use only biomarker assays into medical diagnostics. The present report briefly summarizes a selected set of presentations geared towards the issues and principles involved in the validation of biomarkers for use as molecular diagnostics, as presented at the Third Annual Biomarker World Congress held in Philadelphia, Pennsylvania on 15 - 18 May 2007. More than 400 delegates attended the Third Annual Biomarker World Congress to discuss the role of biomarkers in all phases of drug discovery and development. The main conference consisted of four tracks addressing issues involving: i) biomarkers in early drug development; ii) biomarkers in clinical development; iii) biomarkers for molecular diagnostics; and iv) biomarker assay development. The present review focuses on selected presentations of relevance to the third track. Topics covered by the speakers included biomarker assays that seem to have diagnostic and/or theranostic potential in a variety of therapeutic settings and disease indications. Themes included both the general and specific issues that can be encountered when attempting to convert a biomarker assay into a molecular diagnostic for use in the clinical setting.

High-Content Profiling of Drug-Drug Interactions: Cellular Targets Involved in the Modulation of Microtubule Drug Action by the Antifungal Ketoconazole

Drug-drug interactions play an important role in the discovery and development of therapeutic agents. High-content profiling was developed to unravel the complexity of these interactions by providing multiparameter measurements of target activity at the cellular and subcellular levels. Two microtubule drugs, vinblastine and curacin A, were shown to modulate multiple cellular processes, including nuclear condensation, the activation of the extracellular signal-regulated kinase pathway as measured by RSK90 phosphorylation, and the regulation of the microtubule cytoskeleton as measured in detergent-extracted cells. The heterogeneity of the response, addressed through population analysis and multiparameter comparisons within single cells, was consistent with vinblastine and curacin A having similar effects on nuclear morphology and 90 kDa ribosomal s6 kinase (RSK90) phosphorylation despite having distinct effects on the microtubule cytoskeleton. Ketoconazole, originally developed as an antifungal agent, exhibited concentration-dependent inhibitory and potentiating effects on both drugs in HeLa and PC-3 cells at concentration ranges near the plasma levels of ketoconazole attained in human subjects. Thus, high-content profiling was used to dissect the cellular and molecular responses to interacting drugs and is therefore a potentially important tool in the selection, characterization, and optimization of lead therapeutic compounds.