Scarless Modification of the Drosophila Genome Near Any Mapped attP Sites.

Here we describe a Drosophila genome engineering technique that can scarlessly modify genomic sequences near any mapped attP attachment site previously integrated by transposon mobilization or gene targeting. This technique combines two highly efficient and robust procedures: phiC31 integrase-mediated site-specific integration and homing endonuclease-mediated resolution of local duplications. In this technique, a donor fragment containing the desired mutation(s) is first integrated into a selected attP site near the target locus by phiC31 integrase-mediated site-specific integration, which creates local duplications consisting of the mutant-containing donor fragment and the wild-type target locus. Next, homing endonuclease-induced double-stranded DNA breaks trigger recombination between the duplications and resolve the target locus to generate scarless mutant alleles. In every step, the desired flies can be easily identified by patterns of dominant markers, so no large-scale screens are needed. This technique is highly efficient and can be used to generate scarless point mutations, insertions, and deletions. The availability of large libraries of mapped attP site-containing transposon/CRISPR insertions in Drosophila allows the modification of more than half of the euchromatic Drosophila genome at a high efficiency. As more and more attP-containing insertions are generated and mapped, this technique will be able to modify larger portions of the Drosophila genome. The principles of this technique are applicable to other organisms where modifications to the genome are feasible. © 2023 Wiley Periodicals LLC. Basic Protocol 1: Verifying attP-containing insertions Support Protocol: Extracting genomic DNA Basic Protocol 2: Generating the donor plasmid Basic Protocol 3: Injecting the donor plasmid and establishing transformant stocks Basic Protocol 4: Verifying the transformants Basic Protocol 5: Generating the final scarless alleles Basic Protocol 6: Verifying the final alleles.

Transcription factor paralogs orchestrate alternative gene regulatory networks by context-dependent cooperation with multiple cofactors.

In eukaryotes, members of transcription factor families often exhibit similar DNA binding properties in vitro, yet orchestrate paralog-specific gene regulatory networks in vivo. The serially homologous first (T1) and third (T3) thoracic legs of Drosophila, which are specified by the Hox proteins Scr and Ubx, respectively, offer a unique opportunity to address this paradox in vivo. Genome-wide analyses using epitope-tagged alleles of both Hox loci in the T1 and T3 leg imaginal discs, the precursors to the adult legs and ventral body regions, show that ~8% of Hox binding is paralog-specific. Binding specificity is mediated by interactions with distinct cofactors in different domains: the Hox cofactor Exd acts in the proximal domain and is necessary for Scr to bind many of its paralog-specific targets, while in the distal leg domain, the homeodomain protein Distal-less (Dll) enhances Scr binding to a different subset of loci. These findings reveal how Hox paralogs, and perhaps paralogs of other transcription factor families, orchestrate alternative downstream gene regulatory networks with the help of multiple, context-specific cofactors.

SpyChIP identifies cell type-specific transcription factor occupancy from complex tissues.

Chromatin immunoprecipitation (ChIP) is an important technique for characterizing protein-DNA binding in vivo. One drawback of ChIP-based techniques is the lack of cell type-specificity when profiling complex tissues. To overcome this limitation, we developed SpyChIP to identify cell type-specific transcription factor (TF) binding sites in native physiological contexts without tissue dissociation or nuclei sorting. SpyChIP takes advantage of a specific covalent isopeptide bond that rapidly forms between the 15-amino acid SpyTag and the 17-kDa protein SpyCatcher. In SpyChIP, the target TF is fused with SpyTag by genome engineering, and an epitope tagged SpyCatcher is expressed in cell populations of interest, where it covalently binds to SpyTag-TF. Cell type-specific ChIP is obtained by immunoprecipitating chromatin prepared from whole tissues using antibodies directed against the epitope-tagged SpyCatcher. Using SpyChIP, we identified the genome-wide binding profiles of the Hox protein Ultrabithorax (Ubx) in two distinct cell types of the Drosophila haltere imaginal disc. Our results revealed extensive region-specific Ubx-DNA binding events, highlighting the significance of cell type-specific ChIP and the limitations of whole-tissue ChIP approaches. Analysis of Ubx::SpyChIP results provided insights into the relationship between chromatin accessibility and Ubx-DNA binding, as well as different mechanisms Ubx employs to regulate its downstream cis-regulatory modules. In addition to SpyChIP, we suggest that SpyTag-SpyCatcher technology, as well as other protein pairs that form covalent isopeptide bonds, will facilitate many additional in vivo applications that were previously impractical.

Prediction of protein-ligand binding affinity from sequencing data with interpretable machine learning.

Protein-ligand interactions are increasingly profiled at high throughput using affinity selection and massively parallel sequencing. However, these assays do not provide the biophysical parameters that most rigorously quantify molecular interactions. Here we describe a flexible machine learning method, called ProBound, that accurately defines sequence recognition in terms of equilibrium binding constants or kinetic rates. This is achieved using a multi-layered maximum-likelihood framework that models both the molecular interactions and the data generation process. We show that ProBound quantifies transcription factor (TF) behavior with models that predict binding affinity over a range exceeding that of previous resources; captures the impact of DNA modifications and conformational flexibility of multi-TF complexes; and infers specificity directly from in vivo data such as ChIP-seq without peak calling. When coupled with an assay called KD-seq, it determines the absolute affinity of protein-ligand interactions. We also apply ProBound to profile the kinetics of kinase-substrate interactions. ProBound opens new avenues for decoding biological networks and rationally engineering protein-ligand interactions.

Scarless engineering of the Drosophila genome near any site-specific integration site.

We describe a simple and efficient technique that allows scarless engineering of Drosophila genomic sequences near any landing site containing an inverted attP cassette, such as a MiMIC insertion. This two-step method combines phiC31 integrase-mediated site-specific integration and homing nuclease-mediated resolution of local duplications, efficiently converting the original landing site allele to modified alleles that only have the desired change(s). Dominant markers incorporated into this method allow correct individual flies to be efficiently identified at each step. In principle, single attP sites and FRT sites are also valid landing sites. Given the large and increasing number of landing site lines available in the fly community, this method provides an easy and fast way to efficiently edit the majority of the Drosophila genome in a scarless manner. This technique should also be applicable to other species.

Context-Dependent Gene Regulation by Homeodomain Transcription Factor Complexes Revealed by Shape-Readout Deficient Proteins.

Eukaryotic transcription factors (TFs) form complexes with various partner proteins to recognize their genomic target sites. Yet, how the DNA sequence determines which TF complex forms at any given site is poorly understood. Here, we demonstrate that high-throughput in vitro DNA binding assays coupled with unbiased computational analysis provide unprecedented insight into how different DNA sequences select distinct compositions and configurations of homeodomain TF complexes. Using inferred knowledge about minor groove width readout, we design targeted protein mutations that destabilize homeodomain binding both in vitro and in vivo in a complex-specific manner. By performing parallel systematic evolution of ligands by exponential enrichment sequencing (SELEX-seq), chromatin immunoprecipitation sequencing (ChIP-seq), RNA sequencing (RNA-seq), and Hi-C assays, we not only classify the majority of in vivo binding events in terms of complex composition but also infer complex-specific functions by perturbing the gene regulatory network controlled by a single complex.

Functional conservation of Drosophila FTZ-F1 and its mammalian homologs suggests ligand-independent regulation of NR5A family transcriptional activity.

Drosophila Ftz-F1 is an orphan nuclear receptor required for segmentation and metamorphosis. Its mammalian orthologs, SF-1 and LRH-1, function in sexual development and homeostasis, and have been implicated in stem cell pluripotency maintenance and tumorigenesis. These NR5A family members bind DNA as monomers and strongly activate transcription. However, controversy exists as to whether their activity is regulated by ligand-binding. Structural evidence suggested that SF-1 and human LRH-1 bind regulatory ligands, but mouse LRH-1 and Drosophila FTZ-F1 are active in the absence of ligand. We found that Dm-Ftz-F1 and mLRH-1, thought not to bind ligand, or mSF-1 and hLRH-1, predicted to bind ligand, each efficiently rescued the defects of Drosophila ftz-f1 mutants. Further, each correctly activated expression of a Dm-Ftz-F1 target gene in Drosophila embryos. The functional equivalence of ftz-f1 orthologs in these sensitive in vivo assays argues against specific activating ligands for NR5A family members.

Diverse tumor pathology due to distinctive patterns of JAK/STAT pathway activation caused by different Drosophila polyhomeotic alleles.

Drosophila polyhomeotic (ph) is one of the important polycomb group genes that is linked to human cancer. In the mosaic eye imaginal discs, while ph(del), a null allele, causes only non-autonomous overgrowth, ph(505), a hypomorphic allele, causes both autonomous and non-autonomous overgrowth. These allele-specific phenotypes stem from the different sensitivities of ph mutant cells to the Upd homologs that they secrete.

Human down syndrome cell adhesion molecules (DSCAMs) are functionally conserved with Drosophila Dscam[TM1] isoforms in controlling neurodevelopment.

Drosophila Down syndrome cell adhesion molecule (Dscam) potentially produces more than 150,000 cell adhesion molecules that share two alternative transmembrane/juxtamembrane (TM) domains, which dictate the dendrite versus axon subcellular distribution and function of different Dscam isoforms. Vertebrate genomes contain two closely related genes, DSCAM and DSCAM-Like1 (DSCAML1), which do not have extensive alternative splicing. We investigated the functional conservation between invertebrate Dscams and vertebrate DSCAMs by cross-species rescue assays and found that human DSCAM and DSCAML1 partially, but substantially, rescued the larval lethality of Drosophila Dscam mutants. Interestingly, both human DSCAM and DSCAML1 were targeted to the dendrites in Drosophila neurons, had synergistic rescue effects with Drosophila Dscam[TM2], and preferentially rescued the dendrite defects of Drosophila Dscam mutant neurons. Therefore, human DSCAM and DSCAML1 are functionally conserved with Drosophila Dscam[TM1] isoforms.

Loss of the Polycomb group gene polyhomeotic induces non-autonomous cell overproliferation.

Polycomb group (PcG) proteins are conserved epigenetic regulators that are linked to cancer in humans. However, little is known about how they control cell proliferation. Here, we report that mutant clones of the PcG gene polyhomeotic (ph) form unique single-cell-layer cavities that secrete three JAK/STAT pathway ligands, which in turn act redundantly to stimulate overproliferation of surrounding wild-type cells. Notably, different ph alleles cause different phenotypes at the cellular level. Although the ph-null allele induces non-autonomous overgrowth, an allele encoding truncated Ph induces both autonomous and non-autonomous overgrowth. We propose that PcG misregulation promotes tumorigenesis through several cellular mechanisms.

A protein-protein interaction network of transcription factors acting during liver cell proliferation.

Liver regeneration is a complex process that involves a multitude of cellular functions, including primarily cell proliferation, apoptosis, inflammation, and metabolism. A number of signaling pathways that control these processes have been identified, and cross communication between them by direct protein-protein interactions has been shown to be crucial in orchestrating liver regeneration. Previously, we have identified a group of transcription factors capable of regulating liver cell growth and that may be involved in liver cancer development. The expression of some of their mouse counterpart genes was altered dramatically after liver injury and regeneration induced by CCl(4) in mice. In an effort to elucidate the molecular basis for liver regeneration through protein-protein interactions (PPI), a matrix mating Y2H approach was produced to generate a PPI network between a set of 32 regulatory proteins. Sixty-four interactions were identified, including 4 that had been identified previously. Ten of the interactions were further confirmed with GST pull-down and coimmunoprecipitation assays. Information provided by this PPI network may shed further light on the molecular mechanisms that regulate liver regeneration at the protein interaction level and ultimately identify regulatory factors that may serve as candidate drug targets for the treatment of liver diseases.