Publications and Datasets

To search or download DRSC genome-wide cell RNAi screen data sets, see the DRSC Screen Summary page.

Ah-Ram Kim, Yanhui Hu, Aram Comjean, Jonathan Rodiger, Stephanie E Mohr, and Norbert Perrimon. 2024. “Enhanced Protein-Protein Interaction Discovery via AlphaFold-Multimer.” bioRxiv, Pp. 2024.02.19.580970. Publisher's VersionAbstract
Accurately mapping protein-protein interactions (PPIs) is critical for elucidating cellular functions and has significant implications for health and disease. Conventional experimental approaches, while foundational, often fall short in capturing direct, dynamic interactions, especially those with transient or small interfaces. Our study leverages AlphaFold-Multimer (AFM) to re-evaluate high-confidence PPI datasets from Drosophila and human. Our analysis uncovers a significant limitation of the AFM-derived interface pTM (ipTM) metric, which, while reflective of structural integrity, can miss physiologically relevant interactions at small interfaces or within flexible regions. To bridge this gap, we introduce the Local Interaction Score (LIS), derived from AFM's Predicted Aligned Error (PAE), focusing on areas with low PAE values, indicative of the high confidence in interaction predictions. The LIS method demonstrates enhanced sensitivity in detecting PPIs, particularly among those that involve flexible and small interfaces. By applying LIS to large-scale Drosophila datasets, we enhance the detection of direct interactions. Moreover, we present FlyPredictome, an online platform that integrates our AFM-based predictions with additional information such as gene expression correlations and subcellular localization predictions. This study not only improves upon AFM's utility in PPI prediction but also highlights the potential of computational methods to complement and enhance experimental approaches in the identification of PPI networks.Competing Interest StatementThe authors have declared no competing interest.
Nisha Singh, Agustin Rolandelli, Anya J O’Neal, Rainer L. Butler, Sourabh Samaddar, Hanna J Laukaitis-Yousey, Matthew Butnaru, Stephanie E Mohr, Norbert Perrimon, and Joao HF Pedra. 9/8/2023. “Genetic manipulation of an Ixodes scapularis cell line.” bioRxiv, Pp. 9/8/2023. 09.08.556855. Publisher's VersionAbstract
Although genetic manipulation is one of the hallmarks in model organisms, its applicability to non-model species has remained difficult due to our limited understanding of their fundamental biology. For instance, manipulation of a cell line originated from the blacklegged tick Ixodes scapularis, an arthropod that serves as a vector of several human pathogens, has yet to be established. Here, we demonstrate the successful genetic modification of the commonly used tick ISE6 line through ectopic expression and clustered regularly interspaced palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9) genome editing. We performed ectopic expression using nucleofection and attained CRISPR-Cas9 editing via homology dependent recombination. Targeting the E3 ubiquitin ligase X-linked inhibitor of apoptosis (xiap) and its substrate p47 led to alteration in molecular signaling within the immune deficiency (IMD) network and increased infection of the rickettsial agent Anaplasma phagocytophilum in I. scapularis ISE6 cells. Collectively, our findings complement techniques for genetic engineering of ticks in vivo and aid in circumventing the long-life cycle of I. scapularis, of which limits efficient and scalable molecular genetic screens.Importance Genetic engineering in arachnids has lagged compared to insects, largely because of substantial differences in their biology. This study unveils the implementation of ectopic expression and CRISPR-Cas9 gene editing in a tick cell line. We introduced fluorescently tagged proteins in ISE6 cells and edited its genome via homology dependent recombination. We ablated the expression of xiap and p47, two signaling molecules present in the immune deficiency (IMD) pathway of I. scapularis. Impairment of the tick IMD pathway, an analogous network of the tumor necrosis factor receptor in mammals, led to enhanced infection of the rickettsial agent A. phagocytophilum. Altogether, our findings provide a critical technical resource to the scientific community to enable a deeper understanding of biological circuits in the blacklegged tick Ixodes scapularis.Competing Interest StatementThe authors have declared no competing interest.
Agustin Rolandelli, Hanna J Laukaitis-Yousey, Haikel N Bogale, Nisha Singh, Sourabh Samaddar, Anya J O’Neal, Camila R Ferraz, Matthew Butnaru, Enzo Mameli, Baolong Xia, Tays M. Mendes, Rainer L. Butler, Liron Marnin, Francy ECabrera Paz, Luisa M Valencia, Vipin S Rana, Ciaran Skerry, Utpal Pal, Stephanie E Mohr, Norbert Perrimon, David Serre, and Joao HF Pedra. 2023. “Tick hemocytes have pleiotropic roles in microbial infection and arthropod fitness.” bioRxiv, Pp. 2023.08.31.555785. Publisher's VersionAbstract
Uncovering the complexity of systems in non-model organisms is critical for understanding arthropod immunology. Prior efforts have mostly focused on Dipteran insects, which only account for a subset of existing arthropod species in nature. Here, we describe immune cells or hemocytes from the clinically relevant tick Ixodes scapularis using bulk and single cell RNA sequencing combined with depletion via clodronate liposomes, RNA interference, Clustered Regularly Interspaced Short Palindromic Repeats activation (CRISPRa) and RNA-fluorescence in situ hybridization (FISH). We observe molecular alterations in hemocytes upon tick infestation of mammals and infection with either the Lyme disease spirochete Borrelia burgdorferi or the rickettsial agent Anaplasma phagocytophilum. We predict distinct hemocyte lineages and reveal clusters exhibiting defined signatures for immunity, metabolism, and proliferation during hematophagy. Furthermore, we perform a mechanistic characterization of two I. scapularis hemocyte markers: hemocytin and astakine. Depletion of phagocytic hemocytes affects hemocytin and astakine levels, which impacts blood feeding and molting behavior of ticks. Hemocytin specifically affects the c-Jun N-terminal kinase (JNK) signaling pathway, whereas astakine alters hemocyte proliferation in I. scapularis. Altogether, we uncover the heterogeneity and pleiotropic roles of hemocytes in ticks and provide a valuable resource for comparative biology in arthropods.Competing Interest StatementThe authors have declared no competing interest.
Stephanie E Mohr, Ah-Ram Kim, Yanhui Hu, and Norbert Perrimon. 11/2/2023. “Finding information about uncharacterized Drosophila melanogaster genes.” Genetics.Abstract

Genes that have been identified in the genome but remain uncharacterized with regards to function offer an opportunity to uncover novel biological information. Novelty is exciting but can also be a barrier. If nothing is known, how does one start planning and executing experiments? Here, we provide a recommended information-mining workflow and a corresponding guide to accessing information about uncharacterized Drosophila melanogaster genes, such as those assigned only a systematic coding gene identifier. The available information can provide insights into where and when the gene is expressed, what the function of the gene might be, whether there are similar genes in other species, whether there are known relationships to other genes, and whether any other features have already been determined. In addition, available information about relevant reagents can inspire and facilitate experimental studies. Altogether, mining available information can help prioritize genes for further study, as well as provide starting points for experimental assays and other analyses.

Hong-Wen Tang, Kerstin Spirohn, Yanhui Hu, Tong Hao, István A Kovács, Yue Gao, Richard Binari, Donghui Yang-Zhou, Kenneth H Wan, Joel S Bader, Dawit Balcha, Wenting Bian, Benjamin W Booth, Atina G Coté, Steffi de Rouck, Alice Desbuleux, Kah Yong Goh, Dae-Kyum Kim, Jennifer J Knapp, Wen Xing Lee, Irma Lemmens, Cathleen Li, Mian Li, Roujia Li, Hyobin Julianne Lim, Yifang Liu, Katja Luck, Dylan Markey, Carl Pollis, Sudharshan Rangarajan, Jonathan Rodiger, Sadie Schlabach, Yun Shen, Dayag Sheykhkarimli, Bridget TeeKing, Frederick P. Roth, Jan Tavernier, Michael A Calderwood, David E Hill, Susan E Celniker, Marc Vidal, Norbert Perrimon, and Stephanie E. Mohr. 2023. “Next-generation large-scale binary protein interaction network for Drosophila melanogaster,” 14, 1, Pp. 2162. Publisher's VersionAbstract
Generating reference maps of interactome networks illuminates genetic studies by providing a protein-centric approach to finding new components of existing pathways, complexes, and processes. We apply state-of-the-art methods to identify binary protein-protein interactions (PPIs) for Drosophila melanogaster. Four all-by-all yeast two-hybrid (Y2H) screens of > 10,000 Drosophila proteins result in the ‘FlyBi’ dataset of 8723 PPIs among 2939 proteins. Testing subsets of data from FlyBi and previous PPI studies using an orthogonal assay allows for normalization of data quality; subsequent integration of FlyBi and previous data results in an expanded binary Drosophila reference interaction network, DroRI, comprising 17,232 interactions among 6511 proteins. We use FlyBi data to generate an autophagy network, then validate in vivo using autophagy-related assays. The deformed wings (dwg) gene encodes a protein that is both a regulator and a target of autophagy. Altogether, these resources provide a foundation for building new hypotheses regarding protein networks and function.
Nikki Coleman-Gosser, Yanhui Hu, Shiva Raghuvanshi, Shane Stitzinger, Weihang Chen, Arthur Luhur, Daniel Mariyappa, Molly Josifov, Andrew Zelhof, Stephanie E Mohr, Norbert Perrimon, and Amanda Simcox. 2023. “Continuous muscle, glial, epithelial, neuronal, and hemocyte cell lines for research.” Elife, 12.Abstract

Expression of activated Ras, Ras, provides cultured cells with a proliferation and survival advantage that simplifies the generation of continuous cell lines. Here, we used lineage-restricted Ras expression to generate continuous cell lines of muscle, glial, and epithelial cell type. Additionally, cell lines with neuronal and hemocyte characteristics were isolated by cloning from cell cultures established with broad Ras expression. Differentiation with the hormone ecdysone caused maturation of cells from mesoderm lines into active muscle tissue and enhanced dendritic features in neuronal-like lines. Transcriptome analysis showed expression of key cell-type-specific genes and the expected alignment with single-cell sequencing and in situ data. Overall, the technique has produced in vitro cell models with characteristics of glia, epithelium, muscle, nerve, and hemocyte. The cells and associated data are available from the Genomic Resource Center.

Baolong Xia, Raghuvir Viswanatha, Yanhui Hu, Stephanie E Mohr, and Norbert Perrimon. 2023. “Pooled genome-wide CRISPR activation screening for rapamycin resistance genes in cells.” Elife, 12.Abstract

Loss-of-function and gain-of-function genetic perturbations provide valuable insights into gene function. In cells, while genome-wide loss-of-function screens have been extensively used to reveal mechanisms of a variety of biological processes, approaches for performing genome-wide gain-of-function screens are still lacking. Here, we describe a pooled CRISPR activation (CRISPRa) screening platform in cells and apply this method to both focused and genome-wide screens to identify rapamycin resistance genes. The screens identified three genes as novel rapamycin resistance genes: a member of the SLC16 family of monocarboxylate transporters (), a member of the lipocalin protein family (), and a zinc finger C2H2 transcription factor (). Mechanistically, we demonstrate that overexpression activates the RTK-Akt-mTOR signaling pathway and that activation of insulin receptor (InR) by requires cholesterol and clathrin-coated pits at the cell membrane. This study establishes a novel platform for functional genetic studies in cells.

Ah-Ram Kim, Jun Xu, Ross Cheloha, Stephanie E. Mohr, Jonathan Zirin, Hidde L Ploegh, and Norbert Perrimon. 2022. “NanoTag Nanobody Tools for Drosophila In Vitro and In Vivo Studies.” Current Protocols, 2, Pp. e628. Publisher's VersionAbstract
Abstract Nanobodies have emerged as powerful protein-binding tools to uncover protein functions. Using functionalized protein binders, proteins of interest can be visualized, degraded, delocalized, or post-translationally modified in vivo. We recently reported the use of two short peptide tags, 10-aa 127D01 and 14-aa VHH05, and their corresponding nanobodies, Nb127D01 and NbVHH05, for both in vitro and in vivo studies in Drosophila. Here, we provide detailed protocols for nanobody production and for visualization of proteins of interest in either fixed or live samples. In addition, we include protocols for endogenous protein tagging using CRISPR-mediated genome engineering. © 2022 Wiley Periodicals LLC. Basic Protocol 1: Nanobody production in S2 cells Basic Protocol 2: Nanobody expression and purification in bacterial cells Basic Protocol 3: Immunostaining with nanobodies Basic Protocol 4: Immunoblotting with nanobodies Basic Protocol 5: Immunoprecipitation with nanobodies prepared from S2 cells Basic Protocol 6: Immunoprecipitation with nanobodies prepared from bacteria Basic Protocol 7: NbVHH05 and Nb127D01 used as chromobodies Basic Protocol 8: NanoTag trap as a method to alter protein localization Support Protocol: CRISPR-mediated tagging of endogenous genes with NanoTags
Ah-Ram Kim, Jun Xu, Ross Cheloha, Stephanie E Mohr, Jonathan Zirin, Hidde L Ploegh, and Norbert Perrimon. 2022. “NanoTag Nanobody Tools for Drosophila In Vitro and In Vivo Studies.” Curr Protoc, 2, 12, Pp. e628.Abstract

Nanobodies have emerged as powerful protein-binding tools to uncover protein functions. Using functionalized protein binders, proteins of interest can be visualized, degraded, delocalized, or post-translationally modified in vivo. We recently reported the use of two short peptide tags, 10-aa 127D01 and 14-aa VHH05, and their corresponding nanobodies, Nb127D01 and NbVHH05, for both in vitro and in vivo studies in Drosophila. Here, we provide detailed protocols for nanobody production and for visualization of proteins of interest in either fixed or live samples. In addition, we include protocols for endogenous protein tagging using CRISPR-mediated genome engineering. © 2022 Wiley Periodicals LLC. Basic Protocol 1: Nanobody production in S2 cells Basic Protocol 2: Nanobody expression and purification in bacterial cells Basic Protocol 3: Immunostaining with nanobodies Basic Protocol 4: Immunoblotting with nanobodies Basic Protocol 5: Immunoprecipitation with nanobodies prepared from S2 cells Basic Protocol 6: Immunoprecipitation with nanobodies prepared from bacteria Basic Protocol 7: NbVHH05 and Nb127D01 used as chromobodies Basic Protocol 8: NanoTag trap as a method to alter protein localization Support Protocol: CRISPR-mediated tagging of endogenous genes with NanoTags.

Shue Chen, Leah F Rosin, Gianluca Pegoraro, Nellie Moshkovich, Patrick J Murphy, Guoyun Yu, and Elissa P Lei. 8/12/2022. “NURF301 contributes to gypsy chromatin insulator-mediated nuclear organization.” Nucleic Acids Res, 50, 14, Pp. 7906-7924.Abstract
Chromatin insulators are DNA-protein complexes that can prevent the spread of repressive chromatin and block communication between enhancers and promoters to regulate gene expression. In Drosophila, the gypsy chromatin insulator complex consists of three core proteins: CP190, Su(Hw), and Mod(mdg4)67.2. These factors concentrate at nuclear foci termed insulator bodies, and changes in insulator body localization have been observed in mutants defective for insulator function. Here, we identified NURF301/E(bx), a nucleosome remodeling factor, as a novel regulator of gypsy insulator body localization through a high-throughput RNAi imaging screen. NURF301 promotes gypsy-dependent insulator barrier activity and physically interacts with gypsy insulator proteins. Using ChIP-seq, we found that NURF301 co-localizes with insulator proteins genome-wide, and NURF301 promotes chromatin association of Su(Hw) and CP190 at gypsy insulator binding sites. These effects correlate with NURF301-dependent nucleosome repositioning. At the same time, CP190 and Su(Hw) both facilitate recruitment of NURF301 to chromatin. Finally, Oligopaint FISH combined with immunofluorescence revealed that NURF301 promotes 3D contact between insulator bodies and gypsy insulator DNA binding sites, and NURF301 is required for proper nuclear positioning of gypsy binding sites. Our data provide new insights into how a nucleosome remodeling factor and insulator proteins cooperatively contribute to nuclear organization.
Rohit Singh, Joshua Shing Shun Li, Sudhir Gopal Tattikota, Yifang Liu, Jun Xu, Yanhui Hu, Norbert Perrimon, and Bonnie Berger. 2022. “Optimal transport analysis of single-cell transcriptomics directs hypotheses prioritization and validation.” bioRxiv, Pp. 2022.06.27.497786. Publisher's VersionAbstract
The explosive growth of regulatory hypotheses from single-cell datasets demands accurate prioritization of hypotheses for in vivo validation, but current computational methods fail to shortlist a high-confidence subset that can be feasibly tested. We present Haystack, an algorithm that combines active learning and optimal transport theory to identify and prioritize transient but causally-active transcription factors in cell lineages. We apply Haystack to single-cell observations, guiding efficient and cost-effective in vivo validations that reveal causal mechanisms of cell differentiation in Drosophila gut and blood lineages.Competing Interest StatementThe authors have declared no competing interest.
Arpan C Ghosh, Yanhui Hu, Sudhir Gopal Tattikota, Yifang Liu, Aram Comjean, and Norbert Perrimon. 2022. “Modeling exercise using optogenetically contractible Drosophila larvae.” BMC Genomics, 23, 1, Pp. 623.Abstract
The pathophysiological effects of a number of metabolic and age-related disorders can be prevented to some extent by exercise and increased physical activity. However, the molecular mechanisms that contribute to the beneficial effects of muscle activity remain poorly explored. Availability of a fast, inexpensive, and genetically tractable model system for muscle activity and exercise will allow the rapid identification and characterization of molecular mechanisms that mediate the beneficial effects of exercise. Here, we report the development and characterization of an optogenetically-inducible muscle contraction (OMC) model in Drosophila larvae that we used to study acute exercise-like physiological responses. To characterize muscle-specific transcriptional responses to acute exercise, we performed bulk mRNA-sequencing, revealing striking similarities between acute exercise-induced genes in flies and those previously identified in humans. Our larval muscle contraction model opens a path for rapid identification and characterization of exercise-induced factors.
Hans M Dalton, Raghuvir Viswanatha, Roderick Brathwaite, Jae Sophia Zuno, Alexys R Berman, Rebekah Rushforth, Stephanie E Mohr, Norbert Perrimon, and Clement Y Chow. 2022. “A genome-wide CRISPR screen identifies DPM1 as a modifier of DPAGT1 deficiency and ER stress.” PLoS Genet, 18, 9, Pp. e1010430.Abstract
Partial loss-of-function mutations in glycosylation pathways underlie a set of rare diseases called Congenital Disorders of Glycosylation (CDGs). In particular, DPAGT1-CDG is caused by mutations in the gene encoding the first step in N-glycosylation, DPAGT1, and this disorder currently lacks effective therapies. To identify potential therapeutic targets for DPAGT1-CDG, we performed CRISPR knockout screens in Drosophila cells for genes associated with better survival and glycoprotein levels under DPAGT1 inhibition. We identified hundreds of candidate genes that may be of therapeutic benefit. Intriguingly, inhibition of the mannosyltransferase Dpm1, or its downstream glycosylation pathways, could rescue two in vivo models of DPAGT1 inhibition and ER stress, even though impairment of these pathways alone usually causes CDGs. While both in vivo models ostensibly cause cellular stress (through DPAGT1 inhibition or a misfolded protein), we found a novel difference in fructose metabolism that may indicate glycolysis as a modulator of DPAGT1-CDG. Our results provide new therapeutic targets for DPAGT1-CDG, include the unique finding of Dpm1-related pathways rescuing DPAGT1 inhibition, and reveal a novel interaction between fructose metabolism and ER stress.
Ying Xu, Raghuvir Viswanatha, Oleg Sitsel, Daniel Roderer, Haifang Zhao, Christopher Ashwood, Cecilia Voelcker, Songhai Tian, Stefan Raunser, Norbert Perrimon, and Min Dong. 2022. “CRISPR screens in Drosophila cells identify Vsg as a Tc toxin receptor.” Nature, 610, 7931, Pp. 349-355.Abstract
Entomopathogenic nematodes are widely used as biopesticides1,2. Their insecticidal activity depends on symbiotic bacteria such as Photorhabdus luminescens, which produces toxin complex (Tc) toxins as major virulence factors3-6. No protein receptors are known for any Tc toxins, which limits our understanding of their specificity and pathogenesis. Here we use genome-wide CRISPR-Cas9-mediated knockout screening in Drosophila melanogaster S2R+ cells and identify Visgun (Vsg) as a receptor for an archetypal P. luminescens Tc toxin (pTc). The toxin recognizes the extracellular O-glycosylated mucin-like domain of Vsg that contains high-density repeats of proline, threonine and serine (HD-PTS). Vsg orthologues in mosquitoes and beetles contain HD-PTS and can function as pTc receptors, whereas orthologues without HD-PTS, such as moth and human versions, are not pTc receptors. Vsg is expressed in immune cells, including haemocytes and fat body cells. Haemocytes from Vsg knockout Drosophila are resistant to pTc and maintain phagocytosis in the presence of pTc, and their sensitivity to pTc is restored through the transgenic expression of mosquito Vsg. Last, Vsg knockout Drosophila show reduced bacterial loads and lethality from P. luminescens infection. Our findings identify a proteinaceous Tc toxin receptor, reveal how Tc toxins contribute to P. luminescens pathogenesis, and establish a genome-wide CRISPR screening approach for investigating insecticidal toxins and pathogens.
Jiunn Song, Arda Mizrak, Chia-Wei Lee, Marcelo Cicconet, Zon Weng Lai, Wei-Chun Tang, Chieh-Han Lu, Stephanie E. Mohr, Robert V. Farese, and Tobias C. Walther. 2022. “Identification of two pathways mediating protein targeting from ER to lipid droplets.” Nature Cell Biol. Publisher's VersionAbstract
Pathways localizing proteins to their sites of action are essential for eukaryotic cell organization and function. Although mechanisms of protein targeting to many organelles have been defined, how proteins, such as metabolic enzymes, target from the endoplasmic reticulum (ER) to cellular lipid droplets (LDs) is poorly understood. Here we identify two distinct pathways for ER-to-LD protein targeting: early targeting at LD formation sites during formation, and late targeting to mature LDs after their formation. Using systematic, unbiased approaches in Drosophila cells, we identified specific membrane-fusion machinery, including regulators, a tether and SNARE proteins, that are required for the late targeting pathway. Components of this fusion machinery localize to LD–ER interfaces and organize at ER exit sites. We identified multiple cargoes for early and late ER-to-LD targeting pathways. Our findings provide a model for how proteins target to LDs from the ER either during LD formation or by protein-catalysed formation of membrane bridges.
Jonathan Zirin, Justin Bosch, Raghuvir Viswanatha, Stephanie E Mohr, and Norbert Perrimon. 2022. “State-of-the-art CRISPR for in vivo and cell-based studies in Drosophila.” Trends Genet, 38, 5, Pp. 437-453.Abstract
For more than 100 years, the fruit fly, Drosophila melanogaster, has served as a powerful model organism for biological and biomedical research due to its many genetic and physiological similarities to humans and the availability of sophisticated technologies used to manipulate its genome and genes. The Drosophila research community quickly adopted CRISPR technologies and, in the 8 years since the first clustered regularly interspaced short palindromic repeats (CRISPR) publications in flies, has explored and innovated methods for mutagenesis, precise genome engineering, and beyond. Moreover, the short lifespan and ease of genetics have made Drosophila an ideal testing ground for in vivo applications and refinements of the rapidly evolving set of CRISPR-associated (CRISPR-Cas) tools. Here, we review innovations in delivery of CRISPR reagents, increased efficiency of cutting and homology-directed repair (HDR), and alternatives to standard Cas9-based approaches. While the focus is primarily on in vivo systems, we also describe the role of Drosophila cultured cells as both an indispensable first step in the process of assessing new CRISPR technologies and a platform for genome-wide CRISPR pooled screens.
Yifang Liu, Joshua Shing Shun Li, Jonathan Rodiger, Aram Comjean, Helen Attrill, Giulia Antonazzo, Nicholas H Brown, Yanhui Hu, and Norbert Perrimon. 2022. “FlyPhoneDB: an integrated web-based resource for cell-cell communication prediction in Drosophila.” Genetics, 220, 3.Abstract
Multicellular organisms rely on cell-cell communication to exchange information necessary for developmental processes and metabolic homeostasis. Cell-cell communication pathways can be inferred from transcriptomic datasets based on ligand-receptor expression. Recently, data generated from single-cell RNA sequencing have enabled ligand-receptor interaction predictions at an unprecedented resolution. While computational methods are available to infer cell-cell communication in vertebrates such a tool does not yet exist for Drosophila. Here, we generated a high-confidence list of ligand-receptor pairs for the major fly signaling pathways and developed FlyPhoneDB, a quantification algorithm that calculates interaction scores to predict ligand-receptor interactions between cells. At the FlyPhoneDB user interface, results are presented in a variety of tabular and graphical formats to facilitate biological interpretation. To illustrate that FlyPhoneDB can effectively identify active ligands and receptors to uncover cell-cell communication events, we applied FlyPhoneDB to Drosophila single-cell RNA sequencing data sets from adult midgut, abdomen, and blood, and demonstrate that FlyPhoneDB can readily identify previously characterized cell-cell communication pathways. Altogether, FlyPhoneDB is an easy-to-use framework that can be used to predict cell-cell communication between cell types from single-cell RNA sequencing data in Drosophila.
Justin A. Bosch and Norbert Perrimon. 2022. “Prime Editing for Precise Genome Engineering in Drosophila.” In Drosophila: Methods and Protocols, edited by Christian Dahmann, Pp. 113 - 134. New York, NY: Springer US. Publisher's VersionAbstract
Editing the Drosophila genome is incredibly useful for gene functional analysis. However, compared to gene knockouts, precise gene editing is difficult to achieve. Prime editing, a recently described CRISPR/Cas9-based technique, has the potential to make precise editing simpler and faster, and produce less errors than traditional methods. Initially described in mammalian cells, prime editing is functional in Drosophila somatic and germ cells. Here, we outline steps to design, generate, and express prime editing components in transgenic flies. Furthermore, we highlight a crossing scheme to produce edited fly stocks in less than 3 months.
Jun Xu, Ah-Ram Kim, Ross W Cheloha, Fabian A Fischer, Joshua Shing Shun Li, Yuan Feng, Emily Stoneburner, Richard Binari, Stephanie E Mohr, Jonathan Zirin, Hidde L Ploegh, and Norbert Perrimon. 2022. “Protein visualization and manipulation in through the use of epitope tags recognized by nanobodies.” Elife, 11.Abstract
Expansion of the available repertoire of reagents for visualization and manipulation of proteins will help understand their function. Short epitope tags linked to proteins of interest and recognized by existing binders such as nanobodies facilitate protein studies by obviating the need to isolate new antibodies directed against them. Nanobodies have several advantages over conventional antibodies, as they can be expressed and used as tools for visualization and manipulation of proteins in vivo. Here, we characterize two short (<15 aa) NanoTag epitopes, 127D01 and VHH05, and their corresponding high-affinity nanobodies. We demonstrate their use in Drosophila for in vivo protein detection and re-localization, direct and indirect immunofluorescence, immunoblotting, and immunoprecipitation. We further show that CRISPR-mediated gene targeting provides a straightforward approach to tagging endogenous proteins with the NanoTags. Single copies of the NanoTags, regardless of their location, suffice for detection. This versatile and validated toolbox of tags and nanobodies will serve as a resource for a wide array of applications, including functional studies in Drosophila and beyond.
Thomas A Ravenscroft, Jennifer B Phillips, Elizabeth Fieg, Sameer S Bajikar, Judy Peirce, Jeremy Wegner, Alia A Luna, Eric J Fox, Yi-Lin Yan, Jill A Rosenfeld, Jonathan Zirin, Oguz Kanca, Undiagnosed Diseases Network, Paul J Benke, Eric S Cameron, Vincent Strehlow, Konrad Platzer, Rami Abou Jamra, Chiara Klöckner, Matthew Osmond, Thomas Licata, Samantha Rojas, David Dyment, Josephine SC Chong, Sharyn Lincoln, Joan M Stoler, John H Postlethwait, Michael F Wangler, Shinya Yamamoto, Joel Krier, Monte Westerfield, and Hugo J Bellen. 2021. “Heterozygous loss-of-function variants significantly expand the phenotypes associated with loss of GDF11.” Genet Med, 23, 10, Pp. 1889-1900.Abstract
PURPOSE: Growth differentiation factor 11 (GDF11) is a key signaling protein required for proper development of many organ systems. Only one prior study has associated an inherited GDF11 variant with a dominant human disease in a family with variable craniofacial and vertebral abnormalities. Here, we expand the phenotypic spectrum associated with GDF11 variants and document the nature of the variants. METHODS: We present a cohort of six probands with de novo and inherited nonsense/frameshift (4/6 patients) and missense (2/6) variants in GDF11. We generated gdf11 mutant zebrafish to model loss of gdf11 phenotypes and used an overexpression screen in Drosophila to test variant functionality. RESULTS: Patients with variants in GDF11 presented with craniofacial (5/6), vertebral (5/6), neurological (6/6), visual (4/6), cardiac (3/6), auditory (3/6), and connective tissue abnormalities (3/6). gdf11 mutant zebrafish show craniofacial abnormalities and body segmentation defects that match some patient phenotypes. Expression of the patients' variants in the fly showed that one nonsense variant in GDF11 is a severe loss-of-function (LOF) allele whereas the missense variants in our cohort are partial LOF variants. CONCLUSION: GDF11 is needed for human development, particularly neuronal development, and LOF GDF11 alleles can affect the development of numerous organs and tissues.
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