Phenotypic Readout Research Articles

Multiplexed, image-based pooled screens in primary cells and tissues with PerturbView.

Optical pooled screening (OPS) is a scalable method for linking image-based phenotypes with cellular perturbations. However, it has thus far been restricted to relatively low-plex phenotypic readouts in cancer cell lines in culture due to limitations associated with in situ sequencing of perturbation barcodes. Here, we develop PerturbView, an OPS technology that leverages in vitro transcription to amplify barcodes before in situ sequencing, enabling screens with highly multiplexed phenotypic readouts across diverse systems, including primary cells and tissues. We demonstrate PerturbView in induced pluripotent stem cell-derived neurons, primary immune cells and tumor tissue sections from animal models. In a screen of immune signaling pathways in primary bone marrow-derived macrophages, PerturbView uncovered both known and novel regulators of NF-κB signaling. Furthermore, we combine PerturbView with spatial transcriptomics in tissue sections from a mouse xenograft model, paving the way to in situ screens with rich optical and transcriptomic phenotypes. PerturbView broadens the scope of OPS to a wide range of models and applications.

A statistical simulation model to guide the choices of analytical methods in arrayed CRISPR screen experiments.

An arrayed CRISPR screen is a high-throughput functional genomic screening method, which typically uses 384 well plates and has different gene knockouts in different wells. Despite various computational workflows, there is currently no systematic way to find what is a good workflow for arrayed CRISPR screening data analysis. To guide this choice, we developed a statistical simulation model that mimics the data generating process of arrayed CRISPR screening experiments. Our model is flexible and can simulate effects on phenotypic readouts of various experimental factors, such as the effect size of gene editing, as well as biological and technical variations. With two examples, we showed that the simulation model can assist making principled choice of normalization and hit calling method for the arrayed CRISPR data analysis. This simulation model is implemented in an R package and can be downloaded from Github.

Rhythmidia: A modern tool for circadian period analysis of filamentous fungi.

Circadian rhythms are ubiquitous across the kingdoms of life and serve important roles in regulating physiology and behavior at many levels. These rhythms occur in ~24-hour cycles and are driven by a core molecular oscillator. Circadian timekeeping enables organisms to anticipate daily changes by timing their growth and internal processes. Neurospora crassa is a model organism with a long history in circadian biology, having conserved eukaryotic clock properties and observable circadian phenotypes. A core approach for measuring circadian function in Neurospora is to follow daily oscillations in the direction of growth and spore formation along a thin glass tube (race tube). While leveraging robust phenotypic readouts is useful, interpreting the outputs of large-scale race tube experiments by hand can be time-consuming and prone to human error. To provide the field with an efficient tool for analyzing race tubes, we present Rhythmidia, a graphical user interface (GUI) tool written in Python for calculating circadian periods and growth rates of Neurospora. Rhythmidia is open source, has been benchmarked against the current state-of-the-art, and is easily accessible on GitHub.

Microliter Whole Blood Neutrophil Assay Preserving Physiological Lifespan and Functional Heterogeneity.

For in vitro neutrophil functional assays, neutrophils are typically isolated from whole blood, having the target cells exposed to an artificial microenvironment with altered kinetics. Isolated neutrophils exhibit limited lifespans of only a few hours ex vivo, significantly shorter than the 3-5 day lifespan of neutrophils in vivo. In addition, due to neutrophils' inherently high sensitivity, neutrophils removed from whole blood exhibit stochastic non-specific activation that contributes to assay variability. Here, a method - named "µ-Blood" - is presented that enables functional neutrophil assays using a microliter of unprocessed whole blood. µ-Blood allows multiple phenotypic readouts of neutrophil function (including cell/nucleus morphology, motility, recruitment, and pathogen control). In µ-Blood, neutrophils show sustained migration and limited non-specific activation kinetics (<0.1% non-specific activation) over 3-6 days. In contrast, neutrophils isolated using traditional methods show increased and divergent activation kinetics (10-70% non-specific activation) in only 3h. Finally, µ-Blood allows the capture and quantitative comparison of distinct neutrophil functional heterogeneity between healthy donors and cancer patients in response to microbial stimuli with the preserved physiological lifespan over 6 days.

A high throughput cell stretch device for investigating mechanobiology in vitro

Mechanobiology is a rapidly advancing field, with growing evidence that mechanical signaling plays key roles in health and disease. To accelerate mechanobiology-based drug discovery, novel in vitro systems are needed that enable mechanical perturbation of cells in a format amenable to high throughput screening. Here, both a mechanical stretch device and 192-well silicone flexible linear stretch plate were designed and fabricated to meet high throughput technology needs for cell stretch-based applications. To demonstrate the utility of the stretch plate in automation and screening, cell dispensing, liquid handling, high content imaging, and high throughput sequencing platforms were employed. Using this system, an assay was developed as a biological validation and proof-of-concept readout for screening. A mechano-transcriptional stretch response was characterized using focused gene expression profiling measured by RNA-mediated oligonucleotide Annealing, Selection, and Ligation with Next-Gen sequencing. Using articular chondrocytes, a gene expression signature containing stretch responsive genes relevant to cartilage homeostasis and disease was identified. The possibility for integration of other stretch sensitive cell types (e.g., cardiovascular, airway, bladder, gut, and musculoskeletal), in combination with alternative phenotypic readouts (e.g., protein expression, proliferation, or spatial alignment), broadens the scope of high throughput stretch and allows for wider adoption by the research community. This high throughput mechanical stress device fills an unmet need in phenotypic screening technology to support drug discovery in mechanobiology-based disease areas.

Abstract LB201: ENIGMAC platform enables at-scale CRISPRi screenings for macrophage target discovery

Abstract RNA sequencing has improved our understanding of cellular heterogeneity by providing in-depth transcriptome information at the single cell level. However, this “dataset infodemic” did not translate into an abundance of new validated targets due to the difficulties in performing gene-to-function studies. The main goal of the ENIGMAC™ discovery platform is to support gene-to-function studies and to deliver new validated macrophage targets. ENIGMAC™ combines custom, disease relevant assays and unique genome editing methods supported by multi-omics bioinformatics analyses yielding selected gene sets for interrogation. We use a human Induced Pluripotent Stem Cell (iPSC) line that yields macrophages phenotypically and functionally similar to MDM. By employing this iPSC system, we can produce millions of macrophages per week, which allows multiple high throughput assays to support target validation and drug discovery. Furthermore, we developed several proprietary technologies allowing fast and reliable gene editing of macrophages, including gene Knock In (KI), Knock Out (KO) and Knock Down (KD) with high efficiency both at iPSC and macrophage level while maintaining expression/silencing during macrophage differentiation. Here we report preliminary results of the CRISPRi screen, aiming to identify novel regulators of INFg-mediated PD-L1 upregulation on macrophages, a surrogate readout for a suppressive phenotype. To this aim, we developed a proprietary human iPSC line that constitutively expresses dCAS9-KRAB protein, allowing for a highly gene specific guide RNA (sgRNA)-mediated method of silencing of gene transcription. Notably, our proprietary anti-silencing system allows to maintains dCAS9-KRAB expression throughout the entire macrophage differentiation process. During the screen, 100 million iPSC-derived microphages were transduced with a 6500 gRNAs library targeting 1300 genes selected from disease-relevant macrophage datasets. Macrophages were subsequently stimulated with INFg and sorted for loss of PD-L1 expression using flow cytometry. Sequencing of the PD-L1 low macrophage population successfully identified PD-L1 regulators such as IFNGR1, IFNGR2, JAK1, STAT1 and IRF1 among other hits. The novel hits are being now individually validated, and selected ones will be progressed to drug discovery. Importantly, this macrophage CRISPRi screen provides technical proof of concept for the ENIGMAC™ platform to perform screens at scale and to identify novel hits. In conclusion, the ENIGMAC™ platform represents a unique tool for gene to function studies using human macrophages. Furthermore, it is disease agnostic and can be integrated with a variety of disease-specific conditions and phenotypic readouts. Citation Format: Thomas W. Monteiro Crozier, Martha Lopez-Yrigoyen, Helena Engman, Moritz Haneklaus, Samuel Witham, Krzystof B. Wicher, Steven Myatt, Luca Cassetta, Carola Ries. ENIGMAC platform enables at-scale CRISPRi screenings for macrophage target discovery [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB201.

Ectopic expression in commonly used transgenic Drosophila GAL4 driver lines.

Transgenic tools such as the GAL4/UAS system in Drosophila have been used extensively to induce spatiotemporally controlled changes in gene expression and tissue-specific expression of a range of transgenes. We previously discovered unexpected expression of the commonly used dilp2-GAL4 line in tracheal tissue which significantly impacted growth phenotypes. We realized that few GAL4 lines have been thoroughly characterized, particularly when considering transient activity that may have significant impact on phenotypic readouts. Here, we characterized a further subset of 12 reportedly tissue-specific GAL4 lines commonly used in genetic studies of development, growth, endocrine regulation, and metabolism. Ten out of 12 GAL4 lines exhibited ectopic activity in other larval tissues, with seven being active in the larval trachea. Since this ectopic activity may result in phenotypes that do not depend on the manipulation in the intended target tissue, it is recommended to carefully analyze the outcome while taking this aspect into consideration.

Abstract 4723: Target engagement sheds light on difference in drug efficacy in breast cancer cell lines

Abstract Breast cancer is a serious disease that affects millions of women worldwide, and 700,000 people succumb to the disease annually. Breast cancers are divided into several functional subgroups based on molecular characteristics and growth pattern: Luminal A and B, HER2 positive (HER2+) and triple negative. The subgroups are important from a clinical perspective as they partially guide treatment strategies. In this study we wanted to investigate the difference in target engagement with four drugs indicated for treatment of different types of breast cancer: Alpelisib, Neratinib, Vinorelbine, and Docetaxel. Five different human breast cancer cell lines were included, representing Luminal A (MCF-7, T-47D), HER2+ (SK-BR-3, BT-474), and triple negative (BT-20). We used CETSA® (CEllular Thermal Shift Assay) coupled to mass spectrometry detection to assess proteome wide changes in protein thermal stability in intact breast cancer cell lines. CETSA is unique as a target engagement detection modality as it allows for target engagement assessment in intact cells with unaltered drug molecules. Also, as biology is intact in live cells it is possible to follow compound induced downstream signaling or phenotypic events that result in changed thermal stability of proteins. In addition to assessing protein thermal stability with CETSA, which is a short treatment of 1 h, we also subjected cells in culture to prolonged drug exposures, ≤72 h, in order to measure viability. This was done to correlate early changes in protein thermal stability to the viability phenotype that manifested later. In general, responses both in protein thermal stability and cell viability was heterogenous among the cell lines. The most homogenous response in viability was observed for the Phosphatidyl Inositol 3’ kinase inhibitor Alpelisib, which reduced viability to 20 - 40% in all cell lines. In contrast, partial resistance was shown to the other drugs by at least one of the cell lines. For Alpelisib, the amount and type of proteins that were thermally shifted correlated with the effect on viability. The covalent HER2 inhibitor Neratinib was most effective in inhibiting viability in HER2+ cells and proteins of the HER2 pathway were thermally shifted in these cells, which was not observed for the other cell lines. Viability of the other cell lines were also affected by Neratinib, but only at higher concentrations. Both microtubule inhibitors induced thermal stabilization of tubulins, but that did not always translate into efficacy in the viability assay. However, sensitive cell lines showed thermal shifts of tubulins at lower concentrations of compound. In oncology drug development it is important that effects on viability are driven by on-target efficacy and not by off-target effects. Here we show the benefit of connecting knowledge of target engagement and phenotypic readouts; what targets are engaged, at which concentrations, and what is the corresponding phenotype. Citation Format: Tomas Friman, Tuomas Tolvanen, Merve Kacal, Victoria Brehmer, Stina Lundgren, Laurence Arnold, Daniel Martinez Molina. Target engagement sheds light on difference in drug efficacy in breast cancer cell lines [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4723.

Abstract 2943: Investigation of microsatellite instability in RNA compared to DNA, using microsatellite targeted, anchored multiplex PCR and NGS

Abstract MSI measurements are typically made on DNA, but it would be useful to make similar measurements from RNA or total nucleic acid inputs (TNA), so that MSI determinations could be made in parallel to interrogation of the RNA. Doing so requires characterizations of microsatellite lengths from those which are transcribed and untranscribed, because both will be detected following cDNA creation. Microsatellite instability (MSI) occurs when small unit repeats of DNA undergo incorrect replication resulting in the growth or contraction of the number of repeats in the newly synthesized DNA. This accumulation of errors at microsatellite DNA is usually mitigated by the mismatch repair (MMR) pathway which can correct these errors. MSI is of interest because it serves as a phenotypic readout of the status of the MMR machinery, and MSI status can correlate to tumor progression and response to agents that regulate these cellular mechanisms. We investigated the status of microsatellites using Anchored Multiplex PCR (AMP™) targeted panels (RUO) and compared results from TNA inputs using an AMP MSI module and both VARIANTPlex™ chemistry to interrogate DNA, and FUSIONPlex™ chemistry to interrogate both RNA + DNA. Our results indicate differences in the diversity of lengths of microsatellites present in RNA, and the resulting stability calls which would be made at those sites. Microsatellite length diversity was highly dependent on the genomic context of the microsatellite. Microsatellites located within transcripts showed increased length diversity when examining the RNA + DNA results compared to DNA alone. Microsatellites located in intergenic regions, which are unlikely to be transcribed, showed no increase in diversity of lengths when comparing the RNA + DNA results to DNA alone. While these results suggest that MSI determinations could be made from RNA or RNA + DNA NGS data, the unique behavior of microsatellites in RNA is likely to require additional investigations and unique data analysis techniques to correctly categorize microsatellites as stable or unstable. Confidential - Company Proprietary Citation Format: Ryan Rogge, Taylor Patterson, Alicia Navetta, Dhruti Legare. Investigation of microsatellite instability in RNA compared to DNA, using microsatellite targeted, anchored multiplex PCR and NGS [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2943.

Abstract A015: Multiplexed live-cell imaging for drug responses in patient-derived organoid models of endometrial cancer

Abstract Patient-derived organoid (PDO) models of endometrial cancer are rapidly emerging as a multifunctional research model to recapitulate in vivo cancer progression and therapeutic response. PDO models are generated by reconstituting patient tumor cells in extracellular basement membrane extract (BME) and culturing as three-dimensional domes supplemented with a specialized niche of growth factors. Despite the rise in popularity of PDO models to assess drug response in vitro, there are limited commercially available reagents that are compatible with BME. In addition, most reagents are endpoint assays that require cell lysis, which is problematic because PDOs are a limited resource. Reducing drug response assessment to a single timepoint misses out on valuable kinetic response data, and samples cannot be used for subsequent downstream analyses, such as RNA sequencing or protein assays. Herein we describe a method to assess drug effects in PDO models using kinetic live-cell imaging. Live-cell imaging is a sophisticated form of automated microscopy that, when combined with fluorescent dyes, has the capacity to quantify multiple cellular responses simultaneously. Importantly, live-cell imaging reagents do not perturb cell viability or induce DNA damage, thereby allowing for accurate repeated assessment of PDO response to treatment over time. In proof-of-concept studies, we first established the utility of this approach to assess the effect of cytotoxic and cytostatic agents in PDO models of endometrial cancer. Specific parameters of interest include PDO number, area, cell health and induction of apoptosis. Agents that produced a cytotoxic effect promoted a decrease in organoid area and number over time, concomitant with an increase in apoptosis as measured by Annexin V staining. Ongoing studies are examining the dose-dependent phenotypic effects of cytostatic agents such as progestins in endometrial cancer PDO models. To evaluate the safety of the compounds, we have also conducted experiments using patient-derived organoids of normal endometrium, which was collected from uninvolved regions of the uterus in cytoreductive surgery. We envision that this automated kinetic imaging platform can be expanded to other phenotypic readouts to better understand diverse therapeutic effects of different classes of drugs under investigation for endometrial cancer. Citation Format: Kaitriana E. Colling, Emily L. Symons, Hiruni K. Sumanasiri, Kristina W. Thiel. Multiplexed live-cell imaging for drug responses in patient-derived organoid models of endometrial cancer [abstract]. In: Proceedings of the AACR Special Conference on Endometrial Cancer: Transforming Care through Science; 2023 Nov 16-18; Boston, Massachusetts. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(5_Suppl):Abstract nr A015.

Multiplexed Live-Cell Imaging for Drug Responses in Patient-Derived Organoid Models of Cancer.

Patient-derived organoid (PDO) models of cancer are a multifunctional research system that better recapitulates human disease as compared to cancer cell lines. PDO models can be generated by culturing patient tumor cells in extracellular basement membrane extracts (BME) and plating them as three-dimensional domes. However, commercially available reagents that have been optimized for phenotypic assays in monolayer cultures often are not compatible with BME. Herein, we describe a method to plate PDO models and assess drug effects using an automated live-cell imaging system. In addition, we apply fluorescent dyes that are compatible with kinetic measurements to quantify cell health and apoptosis simultaneously. Image capture can be customized to occur at regular time intervals over several days. Users can analyze drug effects in individual Z-plane images or a Z Projection of serial images from multiple focal planes. Using masking, specific parameters of interest are calculated, such as PDO number, area, and fluorescence intensity. We provide proof-of-concept data demonstrating the effect of cytotoxic agents on cell health, apoptosis, and viability. This automated kinetic imaging platform can be expanded to other phenotypic readouts to understand diverse therapeutic effects in PDO models of cancer.

Genome-Wide CRISPR-Cas9 Screening for the Identification of Host Dependency Factors of Emerging Viruses.

Like all the RNA viruses, Rift Valley fever virus (RVFV) encodes only few viral proteins and relies heavily on the host cellular machinery for productive infection. This dependence creates a potential "Achille's heel" that may be exploited to develop new approaches to treat RVFV infection. The recent development of lentiviral sgRNAs pool has enabled the creation of genome-scale CRISPR-Cas9 knockout libraries that has been used to identify host factors required for virus replication. In this chapter, we describe the preparation and execution of a pooled CRISPR-Cas9 loss-of-function screen using virus-induced cell death phenotypic readout. Using this technique, we outline a strategy for the identification of host factors essential for important human emerging viruses such as RVFV.

HAP1 cell utilization for accurate interpretation of germline BAP1 variants

Aims/Purpose: Pathogenic germline variants in BRCA1‐Associated Protein 1 (BAP1) gene cause a rare, dominant, life‐threatening tumour predisposition syndrome (BAP1‐TPDS). It increases risk for atypical cutaneous Spitz tumours and for several index cancers: uveal melanoma, malignant mesothelioma, cutaneous melanoma, clear cell renal cell carcinoma, and basal cell carcinoma. Because about 50% of variants in the public database CLINVAR are of unknown significance (VUS) and accurate interpretation of variants is crucial for screening cancer in carriers, improved tools for genomic BAP1 variant interpretation are needed. We aimed to create a mammalian cell based tool for this purpose.Methods: Four pathogenic BAP1 variants (c.67 + 1G &gt; T, c.281A &gt; G, c.680G &gt; A, and c.1780_1781insT) and one VUS (c.1526C &gt; T) were edited into the genome of near haploid HAP1 cells with CRISPR‐Cas9 and assayed for BAP1 expression and cell fitness. Proliferation and cell adhesion was quantified using xCelligence real‐time cell analysis system.Results: BAP1 loss reduces growth of HAP1 cells, which we exploited as phenotypic readout for pathogenicity of inserted variants. Three BAP1‐TPDS history‐associated variants c.67 + 1G &gt; T, c.281A &gt; G, and c.1780_1781insT reduced HAP1 adhesion and proliferation roughly by 70–80% whereas the c.680G &gt; A missense variant, identified in a patient with UM without BAP1‐TPDS family history, reduced proliferation by 50%. VUS c.1526C &gt; T behaved similarly to wild type.Conclusions: Qualitatively, the results of our in vitro tool for BAP1 variant interpretation agree with previous studies, validating the tool. The validated system has potential for scaling up for simultaneous analysis of multiple variants. Quantitatively, it might have potential for predicting higher or lower risk in family members.

Identifying PTPRJ As a Novel Mediator of CEBPA-Mutated AML

10-20% of acute myeloid leukaemia (AML) cases in children and adults carry mutations in the transcription factor CCAAT/enhancer binding protein alpha (CEBPA). CEBPA is transcribed from a single exon and produces two isoforms, p30 and p42, with characteristic mutations, either frameshift mutations in the N-terminal portion ( CEBPA Nterm) leading to production of only the p30 isoform, or in frame mutations in the C-terminal portion ( CEBPA Cterm), disrupting DNA binding. The most frequent secondary driver mutation in CEBPA-mutated AML, is the second allele of CEBPA. Additionally, in rare germline CEBPA cases, the founding mutation is usually CEBPA Nterm, with allindividuals showing acquisition of a second hit mutation in the CEBPA Cterm on the alternate CEBPA allele at the time of AML diagnosis, which has near 100% penetrance in these families. This highlights a strong selective pressure for this very specific biallelic mutation pattern. We have developed zebrafish models with germline cebpa Nterm and cebpa Cterm mutations that faithfully recapitulates the disease, with all homozygous and double heterozygous mutants showing loss of mature myeloid cells, and impaired survival. All double or compound mutants die by 10 weeks of age, with haematopoietic stem and progenitor cell (HSPC) expansion, and leukaemia in around 30% of these animals. Our model also demonstrates distinct phenotypes for cebpa Nterm and cebpa Cterm mutations during developmental haematopoiesis prior to leukaemia onset. We observed that cebpa Nterm and cebpa Cterm mutations have opposite effects on the expression of c-myb, a transcription factor expressed by proliferating HSPC, from 3 days post fertilization. cebpa Nterm/Nterm mutants show an increase in c-myb while cebpa Cterm/Cterm show reduced c-myb expression during development. To uncover the mechanisms by which cebpa Nterm and cebpa Cterm effect HSPCs we undertook RNASeq of sorted Tg(cd41:eGFP) lo HSPCs from fish of all possible genotype combinations. We identified both shared and unique expression profiles between genotypes. We also identified 4 genes that that were differentially regulated in both cebpa Nterm/Nterm and cebpa Cterm/Cterm HSPC, but in opposing vectors (upregulated in cebpa Cterm/Cterm and downregulated in cebpa Nterm/Nterm) (Figure 1). We hypothesised that these 4 genes are candidate drivers of selective pressure for the common CEBPA Cterm/Ntermmutation combination in human AML, and thus the malignant phenotype it confers. One of these candidate genes, PTPRJ, has also recently been identified as a frequently mutated gene in CEBPA-mutated AML in children thereby validating the relevance of our dataset and our approach. To define the effects of these 4 candidate genes we then conducted an F0 CRISPR knock-out screen in all cebpa mutant combinations in our zebrafish model, using c-myb expression as a phenotypic readout. We identified ptprja as our primary candidate gene and showed that loss of ptprja alone and in combination with cebpa Cterm/+ reduced expression of c-myb but had no effect on expression of c-myb in cebpa Cterm/Cterm, indicating that ptprja loss reduces c- myb-expressing HSPC and that this is dependent on functional cebpa DNA binding. We then examined the impact of ptprja knockout in juvenile zebrafish. Homozygous and double heterozygous mutants develop a pre-leukaemia expansion of HSPC before they succumb to death. We showed that that loss of ptprja in cebpa Cterm/Cterm fish accelerates this pre-leukaemic expansion of Tg(cd41:eGFP) lo HSPCs in 4 week fish (Figure 2). We also showed an opposing effect in the cebpa Nterm/Nterm mutants at 2 weeks, where loss of ptprja resulted in decreased pre-leukemic expansion of HSPC. These data indicate a role for PTPRJ in mediating HSPC expansion in CEBPA-mutated AML and suggest that PTPRJ may mediate the mechanism of clonal selection in those with a CEBPA mutation that drives the acquisition of a second CEBPA mutation on the opposing allele, leading to the common CEBPA Cterm/Nterm in patients with CEBPA-mutated AML.

Combined Single Cell Flow Cytometry and Imaging Analyses Reveal Immunomodulatory Effects Exerted By Targeted Phospho-SYK Inhibitors with Elevated Sensitivity in NPM1 Mutated AML

Acute myeloid leukemia (AML) is driven by genetic lesions that can result in addiction to signaling pathways that lead to aberrant proliferation and survival. Several new targeted drugs are being assessed for activity in AML with some recently approved for the treatment of subgroups of patients with specific genetic features, such as mutations in FLT3, IDH1 or IDH2. Entospletinib (ENTO) and lanraplenib (LANRA) are inhibitors of spleen tyrosine kinase (SYK); the latter is a next-generation SYK inhibitor and is currently being evaluated in combination with gilteritinib (GILT) in patients with relapsed or refractory FLT3-mutated AML (NCT05028751). Although SYK is rarely mutated, it has been found to cooperate with FLT3, and is highly active especially in AML patients with mutated FLT3. In addition, SYK is important for immune cell signaling through antibody constant region Fc and B cell receptors. To examine the multi-modulatory effect of pSYK inhibitors in AML, we used combined high parameter flow cytometry (HP-FC) and single cell miniaturized imaging (sc-MI) approaches to profile the immunologic, mutation, and functional protein pathway targets of ENTO and LANRA. Two different AML patient cohorts were assessed by ex vivo treatment with ENTO, LANRA and combinations of LANRA (trametinib, gilteritinib (GILT), aPD-1) over a range of time points (2h, 4h, 3d and 9d) and readouts for cellular phenotype (e.g., differentiation state, immune cell populations) and functional readouts (pSYK, viability) for each cohort were analyzed by HP-FC and sc-MI and associated with available mutation information (bulk gene and single cell RNA sequencing). Differential analyses of data from flow cytometry (AML-HP-FC Cohort) and single cell imaging (AML-sc-MI Cohort) demonstrated: 1) sensitivity to ENTO and LANRA (³ 1uM) was higher in NPM1 and FLT3 mutated AML samples, as measured via cell viability and pSYK target inhibition; sensitivity was not drastically altered in the presence of other mutations (e.g. IDH1/2, MLL); 2) lower doses of ENTO and LANRA (&amp;lt;1uM) induced proliferation in specific cell types, including progenitor myeloid cells, and T and B lymphocytes, but induced more T cell proliferation in AML samples that have low baseline proliferation; analysis with next generation bulk gene and single cell RNA sequencing suggested downregulation of STAT1expression, downregulation of MYC- and mTOR-dependent pathways, and upregulation of IL-1 pathway genes; and 3) LANRA was more broadly effective at targeting pSYK inhibition than ENTO; however, both were effective in combinations (ENTO with trametinib and GILT, and LANRA with aPD-1). In sum, analysis using collective flow and single cell imaging provides corroboratory and complementary information revealing new roles for ENTO and LANRA as immune modulating agents supporting B and T cell proliferation at lower dosages, and with demonstrated greater effect in individuals with NPM1 and FLT3 mutations. These support studies investigating the use of pSYK inhibitors in combination with other therapies to reduce tumor burden, and as an improved line of treatment for AML. Acknowledgements: We are appreciative of the patients and families for their time and participation.

Automated Cut&run Brings Scalable Epigenomic Profiling to Hematology

Genome-wide association studies (GWAS) and corresponding transcriptomics research have been leveraged to identify disease risk variants in hematological disorders with the hopes of developing more personalized treatment regimens. Interestingly, &amp;gt;90% of GWAS-identified variants are found in non-coding regions of the genome, indicating they likely affect the regulatory machinery that governs chromatin structure. Non-coding elements, such as enhancers, play important roles in supporting chromatin mechanisms, including cell-type specific gene expression, cell fates and disease states. However, these variants are difficult to study compared to protein-coding mutations and have been challenging to directly associate with phenotypic readouts. To date, efforts to understand the effects of non-coding variants on chromatin dynamics have been focused on chromatin accessibility (ATAC-seq) and DNA methylation profiling. Notably, these assays can only provide a binary, “open-or-closed,” view of chromatin and often fail to provide mechanistic insight into disease etiology. Epigenomic features - such as histone post-translational modifications (PTMs) and chromatin-associated proteins - mark distinct genomic compartments (e.g., promoters, enhancers) and regulate chromatin structure, gene expression, and cell function. Mapping these features provides a rich context to study cell fate and has great potential for discovering new biomarkers and drug targets. Despite this, efforts to integrate epigenomics into large scale lymphatic and myeloid research have been hampered by the poor sensitivity, high background, and low throughput of traditional chromatin mapping technology (i.e., ChIP-seq). Here, we present autoCUT&amp;RUN, a high throughput assay for rapid, ultra-sensitive profiling of epigenomic features from FACS-isolated primary cells or tissues. This workflow generates reliable profiles from &amp;lt;10,000 cells per reaction, and is supported by a rigorous optimization strategy, high-quality antibodies, and quantitative spike-in controls. As part of a multi-site collaboration with the Immunological Genome Consortium, we used our autoCUT&amp;RUN platform to build a comprehensive epigenomic database of mouse immune cells - composed of &amp;gt;1,500 epigenomic profiles from &amp;gt;100 different FACS-isolated primary immune cell types. These studies set the stage to leverage high-throughput epigenomics for multi-site clinical studies to identify and/or characterize novel biomarkers for precision medicine applications. Further, we will discuss our integration of CUT&amp;RUN and Enzymatic Methylation-sequencing (CUT&amp;RUN-EM) to deliver a true multiomic view of the co-occurrence of epigenomic features and DNA methylation, which can reveal multivalent cellular mechanisms and deconvolute sample heterogeneity.

New Translational Screening Assay with Phenotypic and Transcriptomic Readouts Using Induced Pluripotent Stem Cell (iPSC)-Derived Cells and Organoids from a Nephrotic Syndrome Patient

New Translational Screening Assay with Phenotypic and Transcriptomic Readouts Using Induced Pluripotent Stem Cell (iPSC)-Derived Cells and Organoids from a Nephrotic Syndrome Patient

An adult Drosophila glioma model to highlight metabolic dysfunctions and evaluate the role of the serotonin 5-HT7 receptor as a potential therapeutic target.

Gliomas account for 50% of brain cancers and are therefore the most common brain tumors. Molecular alterations involved in adult gliomas have been identified and mainly affect tyrosine kinase receptors with amplification and/or mutation of the epidermal growth factor receptor (EGFR) and its associated signaling pathways. Several targeted therapies have been developed, but current treatments remain ineffective for glioblastomas, the most severe forms. Thus, it is a priority to identify new pharmacological targets. Drosophila glioma models established in larvae and adults are useful to identify new genes and signaling pathways involved in glioma progression. Here, we used a Drosophila glioma model in adults, to characterize metabolic disturbances associated with glioma and assess the consequences of 5-HT7 R expression on glioma development. First, by using in vivo magnetic resonance imaging, we have shown that expression of the constitutively active forms of EGFR and PI3K in adult glial cells induces brain enlargement. Then, we explored altered cellular metabolism by using high-resolution magic angle spinning NMR and 1 H-13 C heteronuclear single quantum coherence solution states. Discriminant metabolites identified highlight the rewiring of metabolic pathways in glioma and associated cachexia phenotypes. Finally, the expression of 5-HT7 R in this adult model attenuates phenotypes associated with glioma development. Collectively, this whole-animal approach in Drosophila allowed us to provide several rapid and robust phenotype readouts, such as enlarged brain volume and glioma-associated cachexia, as well as to determine the metabolic pathways involved in glioma genesis and finally to confirm the interest of the 5-HT7 R in the treatment of glioma.

Frizzled2 receives WntA signaling during butterfly wing pattern formation.

Butterfly color patterns provide visible and biodiverse phenotypic readouts of the patterning processes. Although the secreted ligand WntA has been shown to instruct the color pattern formation in butterflies, its mode of reception remains elusive. Butterfly genomes encode four homologs of the Frizzled-family of Wnt receptors. Here, we show that CRISPR mosaic knockouts of frizzled2 (fz2) phenocopy the color pattern effects of WntA loss of function in multiple nymphalids. Whereas WntA mosaic clones result in intermediate patterns of reduced size, fz2 clones are cell-autonomous, consistent with a morphogen function. Shifts in expression of WntA and fz2 in WntA crispant pupae show that they are under positive and negative feedback, respectively. Fz1 is required for Wnt-independent planar cell polarity in the wing epithelium. Fz3 and Fz4 show phenotypes consistent with Wnt competitive-antagonist functions in vein formation (Fz3 and Fz4), wing margin specification (Fz3), and color patterning in the Discalis and Marginal Band Systems (Fz4). Overall, these data show that the WntA/Frizzled2 morphogen-receptor pair forms a signaling axis that instructs butterfly color patterning and shed light on the functional diversity of insect Frizzled receptors.

Collaborative SAR Modeling and Prospective In Vitro Validation of Oxidative Stress Activation in Human HepG2 Cells.

Oxidative stress is the consequence of an abnormal increase of reactive oxygen species (ROS). ROS are generated mainly during the metabolism in both normal and pathological conditions as well as from exposure to xenobiotics. Xenobiotics can, on the one hand, disrupt molecular machinery involved in redox processes and, on the other hand, reduce the effectiveness of the antioxidant activity. Such dysregulation may lead to oxidative damage when combined with oxidative stress overpassing the cell capacity to detoxify ROS. In this work, a green fluorescent protein (GFP)-tagged nuclear factor erythroid 2-related factor 2 (NRF2)-regulated sulfiredoxin reporter (Srxn1-GFP) was used to measure the antioxidant response of HepG2 cells to a large series of drug and drug-like compounds (2230 compounds). These compounds were then classified as positive or negative depending on cellular response and distributed among different modeling groups to establish structure-activity relationship (SAR) models. A selection of models was used to prospectively predict oxidative stress induced by a new set of compounds subsequently experimentally tested to validate the model predictions. Altogether, this exercise exemplifies the different challenges of developing SAR models of a phenotypic cellular readout, model combination, chemical space selection, and results interpretation.