Cell Painting images offer valuable insights into a cell's state and enable many biological applications, but publicly available arrayed datasets only include hundreds of genes perturbed. The JUMP Cell Painting Consortium perturbed roughly 75% of the protein-coding genome in human U-2 OS cells, generating a rich resource of single-cell images and extracted features. These profiles capture the phenotypic impacts of perturbing 15,243 human genes, including overexpressing 12,609 genes (using open reading frames) and knocking out 7,975 genes (using CRISPR-Cas9). Here we mitigated technical artifacts by rigorously evaluating data processing options and validated the dataset's robustness and biological relevance. Analysis of phenotypic profiles revealed previously undiscovered gene clusters and functional relationships, including those associated with mitochondrial function, cancer and neural processes. The JUMP Cell Painting genetic dataset is a valuable resource for exploring gene relationships and uncovering previously unknown functions.

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/ .

Introduction Kirsten Rat Sarcoma Viral Oncogene Homolog ( KRAS ) mutations occur in approximately one-third of colorectal (CRC) tumours and have been associated with poor prognosis and resistance to some therapeutics. In addition to the well-documented pro-tumorigenic role of mutant Ras alleles, there is some evidence suggesting that not all KRAS mutations are equal and the position and type of amino acid substitutions regulate biochemical activity and transforming capacity of KRAS mutations. Objectives To investigate the metabolic signatures associated with different KRAS mutations in codons 12, 13, 61 and 146 and to determine what metabolic pathways are affected by different KRAS mutations. Methods We applied an NMR-based metabonomics approach to compare the metabolic profiles of the intracellular extracts and the extracellular media from isogenic human SW48 CRC cell lines with different KRAS mutations in codons 12 (G12D, G12A, G12C, G12S, G12R, G12V), 13 (G13D), 61 ( Q61H ) and 146 ( A146T ) with their wild-type counterpart. We used false discovery rate (FDR)-corrected analysis of variance (ANOVA) to determine metabolites that were statistically significantly different in concentration between the different mutants. Results CRC cells carrying distinct KRAS mutations exhibited differential metabolic remodelling, including differences in glycolysis, glutamine utilization and in amino acid, nucleotide and hexosamine metabolism. Conclusions Metabolic differences among different KRAS mutations might play a role in their different responses to anticancer treatments and hence could be exploited as novel metabolic vulnerabilities to develop more effective therapies against oncogenic KRAS.

Genetic Engineering & Biotechnology NewsVol. 40, No. 4 Drug Discovery TutorialA New Lease on Life for shRNAHorizon Discovery describes how short hairpin RNA is advancing the development of chimeric antigen receptor T-cell therapiesNicola McCarthyNicola McCarthyNicola McCarthy, PhD, is screening business unit manager at Horizon Discovery. Website: www.horizondiscovery.com.Search for more papers by this authorPublished Online:10 Apr 2020https://doi.org/10.1089/gen.40.04.17AboutSectionsView articleView Full TextPDF/EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail View articleFiguresReferencesRelatedDetails Volume 40Issue 4Apr 2020 Information© 2020 by GEN PublishingTo cite this article:Nicola McCarthy.A New Lease on Life for shRNA.Genetic Engineering & Biotechnology News.Apr 2020.64-65.http://doi.org/10.1089/gen.40.04.17Published in Volume: 40 Issue 4: April 10, 2020PDF download

Genetic screens have long been used as an approach to identify and validate new targets for drug discovery. The vast majority of these have been carried out in cell lines: mostly cancer cell lines. However, with improvements in tissue culture techniques, the increasing interest in using the immune system to tackle disease and the discovery of CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats)-Cas9 mediated genome editing, screening primary cells that have not been subverted by transformation into immortal lines, is both appealing and feasible. We have successfully carried out a CRISPR-Cas9 screen in primary T cells using a combined lentivirus and electroporation protocol. Freshly isolated primary T cells are stimulated with anti-CD3 and anti-CD28 antibodies and then transduced with a pooled sgRNA library. After antibiotic selection, T cells successfully transduced with sgRNAs are electroporated to introduce Cas9 mRNA. We chose to validate this approach by carrying out a screen similar to that published by Birsoy et al., 2015, in which they ran a CRISPR-Cas9 screen in Jurkat T cells in the presence and absence of the electron transport chain inhibitor phenformin. In our screen, we exposed the CRISPR-Cas9 edited pool of primary T cells to a dose of phenformin that resulted in growth inhibition to a similar degree to that used by Birsoy and colleagues. Our data are in agreement with the published screen, showing that loss of the cytosolic aspartate aminotransferase GOT1 sensitises primary T cells to phenformin. We took multiple time points in our primary T cell screen and used T cells isolated from three different donors, allowing for the analysis of guide drop-out kinetics and reproducibility between donors. We anticipate that these data will be useful in building more complex screens that assess T cell biology in the presence of additional cells, such as myeloid derived suppressor cells (MDSCs). With a view to this, we have also carried out an arrayed siRNA screen in MDSCs to look for genes that when knocked down reduce the capacity of MDSCs to inhibit T cell proliferation. The endpoint for this screen is based on co-culture of siRNA transfected MDSCs with proliferating primary T cells. Using this complex data set, we have identified several potential targets, which when validated could provide new therapeutic targets through which the immunosuppressive nature of MDSCs in the tumour microenvironment can be mitigated. Birsoy, K., et al. (2015) http://dx.doi.org/10.1016/j.cell.2015.07.016 Citation Format: Bronwyn Joubert, Cristina Ghirelli, Isabelle Nett, John Prime, Glynn Martin, Jonathan Moore, Benedict Cross, Nicola J. McCarthy. RNA-based screens in primary human immune cells [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 1213.

Cell panel screening of cancer lines grown in standard 2D conditions is a well-established component of the drug discovery toolbox. A sufficiently large cell line panel, reflecting the molecular heterogeneity within a cancer type/sub-type, is required to detect correlations with robust statistical power that aid biomarker identification and patient stratification. However, the heterogenous exposure of tumor cells to nutrients, oxygen and other physical or chemical stresses found in three-dimensional solid tumors also has a role to play in patient response and this is not well mimicked in 2D monolayer cell cultures.To meet the need for high-throughput cell-panel screening in more complex culture systems, we have developed 3D cell-based screens to more closely model the complex physiological environment found in tumors. We have characterised our OncoSignature panel of 300 cell lines for growth as spheroids to produce a 200 strong panel of spheroid forming lines. Using our high-throughput platform to compare drug activity in 2D and 3D cultures, we have identified clear differentials for some compounds in single agent and drug combination screens. For example, MEK and EGFR inhibitors have significantly higher activity in 3D cultures than 2D cultures, with a greater than 10-fold shift in EC50 values. These results were validated in 3D soft agar assays, with similar compound potencies being observed in the HTS spheroid assay and the lower throughput soft-agar assay.We have further extended our 3D screening into organoid cultures. Organoid cultures, with increased complexity in terms of structure and cell heterogeneity compared to spheroids, have historically been challenging to use in high-throughput screening. However, our initial results show encouragingly robust data, with compound activity that is congruent with the genetic characteristics of the organoids.Finally, we used our integrated screening platform to evaluate the power of CRISPR approaches to examine genetic dependencies in KRAS mutant cells in 2D, 3D spheroid and organoid cell cultures. Pooled, next-generation sequencing-linked CRISPRko allows an alternative and complementary genomics approach to arrayed cell panel screening, providing a powerful and robust target identification and validation strategy.Overall, Horizon’s 3D screening platforms will enable large scale interrogation of both drug and gene interactions in more complex cell culture systems.Citation Format: Tim M. Scales, Anett Rada-Kovacs, Helen N. Pemberton, Ceri M. Wiggins, Nicola J. McCarthy, Annette S. Little, David A. Sorrell. High-throughput cell line panel drug screening in organoids and 3D systems [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 1927.

The E3 ubiquitin ligase RNF168 is a ring finger protein that has been previously identified to play an important regulatory role in the repair of double-strand DNA breaks. In the present study, an unbiased forward genetics functional screen in mouse granulocyte/macrophage progenitor cell line FDCP1 has identified E3 ubiquitin ligase RNF168 as a key regulator of cell survival and proliferation. Our data indicate that RNF168 is an important component of the mechanisms controlling cell fate, not only in human and mouse haematopoietic growth factor dependent cells, but also in the human breast epithelial cell line MCF-7. These observations therefore suggest that RNF168 provides a connection to key pathways controlling cell fate, potentially through interaction with PML nuclear bodies and/or epigenetic control of gene expression. Our study is the first to demonstrate a critical role for RNF168 in the mechanisms regulating cell proliferation and survival, in addition to its well-established role in DNA repair.

Pooled CRISPR–Cas9 knock out screens provide a valuable addition to the methods available for novel drug target identification and validation. However, where gene editing is targeted to amplified loci, the resulting multiple DNA cleavage events can be a cause of false positive hit identification. The generation of nuclease deficient versions of Cas9 has enabled the development of two additional techniques – CRISPR interference (CRISPRi) and CRISPR activation (CRISPRa) – that enable the repression or overexpression, respectively, of target genes. Here we report the first direct combination of all three approaches (CRISPRko, CRISPRi and CRISPRa) in the context of genome-wide screens to identify components that influence resistance and sensitivity to the BRAF inhibitor, vemurafenib. The pairing of both loss- and gain-of-function datasets reveals complex gene networks which control drug response and illustrates how such data can add substantial confidence to target identification and validation analyses.

Nature Reviews Cancer 13, 297 (2013) In the original version of this article the DOI number was incorrect. This error has been corrected in the online version of the article.

Components of the type II CRISPR–Cas complex in bacteria have been used successfully in eukaryotic cells to facilitate rapid and accurate cell line engineering, animal model generation and functional genomic screens. Such developments are providing new opportunities for drug target identification and validation, particularly with the application of pooled genetic screening. As CRISPR–Cas is a relatively new genetic screening tool, it is important to assess its functionality in a number of different cell lines and to analyse potential improvements that might increase the sensitivity of a given screen. To examine critical aspects of screening quality, we constructed ultra-complex libraries containing sgRNA sequences targeting a collection of essential genes. We examined the performance of screening in both haploid and hypotriploid cell lines, using two alternative guide design algorithms and two tracrRNA variants in a time-resolved analysis. Our data indicate that a simple adaptation of the tracrRNA substantially improves the robustness of guide loss during a screen. This modification minimises the requirement for high numbers of sgRNAs targeting each gene, increasing hit scoring and creating a powerful new platform for successful screening.

recent publication in Nature Medicine in which Seyedmehdi Shojaee, Markus Müschen and colleagues show that deletion of the tumour suppressor PTEN in pre-B cell acute lymphoblastic leukaemia (pre-B ALL) cells results in cell death.

A paper published inMolecular Cell indicates that the production of ketones can promote the BRAFV600E–MEK–ERK oncogenic pathway and identifies a potential Achilles' heel.

Chi Dang and colleagues show that MYC is involved in the regulation of the circadian clock, and its deregulated expression in cancer cells leads to a loss of cellular circadian rhythm and impacts cell metabolism.