@article {69526, title = {LarvaTagger: Manual and automatic tagging of drosophila larval behaviour.}, journal = {Bioinformatics}, year = {2024}, month = {2024 Jul 05}, abstract = {

MOTIVATION: As more behavioural assays are carried out in large-scale experiments on Drosophila larvae, the definitions of the archetypal actions of a larva are regularly refined. In addition, video recording and tracking technologies constantly evolve. Consequently, automatic tagging tools for Drosophila larval behaviour must be retrained to learn new representations from new data. However, existing tools cannot transfer knowledge from large amounts of previously accumulated data.We introduce LarvaTagger, a piece of software that combines a pre-trained deep neural network, providing a continuous latent representation of larva actions for stereotypical behaviour identification, with a graphical user interface to manually tag the behaviour and train new automatic taggers with the updated ground truth.

RESULTS: We reproduced results from an automatic tagger with high accuracy, and we demonstrated that pre-training on large databases accelerates the training of a new tagger, achieving similar prediction accuracy using less data.

AVAILABILITY: All the code is free and open source. Docker images are also available. See gitlab.pasteur.fr/nyx/LarvaTagger.jl.

SUPPLEMENTARY INFORMATION: Supplementary material is available at Bioinformatics online.

}, issn = {1367-4811}, doi = {10.1093/bioinformatics/btae441}, author = {Laurent, Francois and Blanc, Alexandre and May, Lilly and G{\'a}ndara, Lautaro and Cocanougher, Benjamin T and Jones, Benjamin M W and Hague, Peter and Barre, Chloe and Vestergaard, Christian L and Crocker, Justin and Zlatic, Marta and Jovanic, Tihana and Masson, Jean-Baptiste} } @article {67274, title = {An open-source semi-automated robotics pipeline for embryo immunohistochemistry.}, journal = {Scientific Reports}, volume = {11}, year = {2021}, month = {2021 May 13}, pages = {10314}, abstract = {

A significant challenge for developmental systems biology is balancing throughput with controlled conditions that minimize experimental artifacts. Large-scale developmental screens such as unbiased mutagenesis surveys have been limited in their applicability to embryonic systems, as the technologies for quantifying precise expression patterns in whole animals has not kept pace with other sequencing-based technologies. Here, we outline an open-source semi-automated pipeline to chemically fixate, stain, and 3D-image Drosophila embryos. Central to this pipeline is a liquid handling robot, Flyspresso, which automates the steps of classical embryo fixation and staining. We provide the schematics and an overview of the technology for an engineer or someone equivalently trained to reproduce and further improve upon Flyspresso, and highlight the Drosophila embryo fixation and colorimetric or antibody staining protocols. Additionally, we provide a detailed overview and stepwise protocol for our adaptive-feedback pipeline for automated embryo imaging on confocal microscopes. We demonstrate the efficiency of this pipeline compared to classical techniques, and how it can be repurposed or scaled to other protocols and biological systems. We hope our pipeline will serve as a platform for future research, allowing a broader community of users to build, execute, and share similar experiments.

}, issn = {2045-2322}, doi = {10.1038/s41598-021-89676-5}, author = {Fuqua, Timothy and Jordan, Jeff and Halavatyi, Aliaksandr and Tischer, Christian and Richter, Kerstin and Crocker, Justin} } @article {65799, title = {Dense and pleiotropic regulatory information in a developmental enhancer.}, journal = {Nature}, volume = {587}, year = {2020}, month = {2020 Nov 01}, pages = {235-39}, abstract = {

Changes in gene regulation underlie much of phenotypic evolution. However, our understanding of the potential for regulatory evolution is biased, because most evidence comes from either natural variation or limited experimental perturbations. Using an automated robotics pipeline, we surveyed an unbiased mutation library for a developmental enhancer in Drosophila melanogaster. We found that almost all mutations altered gene expression and that parameters of gene expression-levels, location, and state-were convolved. The widespread pleiotropic effects of most mutations may constrain the evolvability of developmental enhancers. Consistent with these observations, comparisons of diverse Drosophila larvae revealed apparent biases in the phenotypes influenced by the enhancer. Developmental enhancers may encode a higher density of regulatory information than has been appreciated previously, imposing constraints on regulatory evolution.

}, issn = {1476-4687}, doi = {10.1038/s41586-020-2816-5}, author = {Fuqua, Timothy and Jordan, Jeff and van Breugel, Maria Elize and Halavatyi, Aliaksandr and Tischer, Christian and Polidoro, Peter and Abe, Namiko and Tsai, Albert and Mann, Richard S and Stern, David L and Crocker, Justin} } @article {49128, title = {Accurate and sensitive quantification of protein-DNA binding affinity.}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, volume = {115}, year = {2018}, month = {2018 Apr 02}, pages = {E3692-701}, abstract = {

Transcription factors (TFs) control gene expression by binding to genomic DNA in a sequence-specific manner. Mutations in TF binding sites are increasingly found to be associated with human disease, yet we currently lack robust methods to predict these sites. Here, we developed a versatile maximum likelihood framework named No Read Left Behind (NRLB) that infers a biophysical model of protein-DNA recognition across the full affinity range from a library of in vitro selected DNA binding sites. NRLB predicts human Max homodimer binding in near-perfect agreement with existing low-throughput measurements. It can capture the specificity of the p53 tetramer and distinguish multiple binding modes within a single sample. Additionally, we confirm that newly identified low-affinity enhancer binding sites are functional in vivo, and that their contribution to gene expression matches their predicted affinity. Our results establish a powerful paradigm for identifying protein binding sites and interpreting gene regulatory sequences in eukaryotic genomes.

}, issn = {1091-6490}, doi = {10.1073/pnas.1714376115}, author = {Rastogi, Chaitanya and Rube, H Tomas and Kribelbauer, Judith F and Crocker, Justin and Loker, Ryan E and Martini, Gabriella D and Laptenko, Oleg and Freed-Pastor, William A and Prives, Carol and Stern, David L and Mann, Richard S and Bussemaker, Harmen J} } @article {49182, title = {Transvection Goes Live-Visualizing Enhancer-Promoter Communication between Chromosomes.}, journal = {Molecular Cell}, volume = {70}, year = {2018}, month = {2018 Apr 19}, pages = {195-196}, abstract = {

Lim et\ al. (2018) use live imaging in Drosophila embryos to show that enhancers can drive transcription from promoters on another chromosome when they are in close proximity. In addition, they show that multiple promoters can access the same enhancer without competition, potentially sharing a pool of factors in a transcriptional "hub."

}, issn = {1097-4164}, doi = {10.1016/j.molcel.2018.04.004}, author = {Tsai, Albert and Singer, Robert H and Crocker, Justin} } @article {48157, title = {A fully synthetic transcriptional platform for a multicellular eukaryote.}, journal = {Cell Reports}, volume = {18}, year = {2017}, month = {2017 Jan 03}, pages = {287-296}, abstract = {

Regions of genomic DNA called enhancers encode binding sites for transcription factor proteins. Binding of activators and repressors increase and reduce transcription, respectively, but it is not understood how combinations of activators and repressors generate precise patterns of transcription during development. Here, we explore this problem using\ a fully synthetic transcriptional platform in Drosophila consisting of engineered transcription factor gradients and artificial enhancers. We found that binding sites for a transcription factor that makes DNA accessible are required together with binding sites for transcriptional activators to produce a functional enhancer. Only in this context can changes in the number of activator binding sites mediate quantitative control of transcription. Using an engineered transcriptional repressor gradient, we demonstrate that overlapping repressor and activator binding sites provide more robust repression and sharper expression boundaries than non-overlapping sites. This may explain why this common motif is observed in many developmental enhancers.

}, issn = {2211-1247}, doi = {10.1016/j.celrep.2016.12.025}, author = {Crocker, Justin and Tsai, Albert and Stern, David L} } @article {48700, title = {Functional regulatory evolution outside of the minimal even-skipped stripe 2 enhancer.}, journal = {Development (Cambridge, England)}, year = {2017}, month = {2017 Jul 31}, abstract = {

Transcriptional enhancers are regions of DNA that drive precise patterns of gene expression. While many studies have elucidated how individual enhancers can evolve, most of this work has focused on what are called "minimal" enhancers, the smallest DNA regions that drive expression that approximates an aspect of native gene expression. Here we explore how the Drosophila erecta even-skipped (eve) locus has evolved by testing its activity in the divergent D. melanogaster genome. We found, as has been reported previously, that the D. erecta eve stripe 2 enhancer (eveS2) fails to drive appreciable expression in D. melanogaster (1). However, we found that a large transgene carrying the entire D. erecta eve locus drives normal eve expression, including in stripe 2. We performed a functional dissection of the region upstream of the D. erecta eveS2 region and found multiple Zelda motifs that are required for normal expression. Our results illustrate how sequences outside of minimal enhancer regions can evolve functionally through mechanisms other than changes in transcription factor binding sites that drive patterning.

}, issn = {1477-9129}, doi = {10.1242/dev.149427}, author = {Crocker, Justin and Stern, David L} } @article {48319, title = {Genetic and transgenic reagents for Drosophila simulans, D. mauritiana, D. yakuba, D. santomea and D. virilis.}, journal = {G3 (Bethesda, Md.)}, volume = {7}, year = {2017}, month = {2017 Mar 09}, pages = {1339-47}, abstract = {

Species of the Drosophila melanogaster species subgroup, including the species D. simulans, D. mauritiana, D. yakuba, and D. santomea, have long served as model systems for studying evolution. Studies in these species have been limited, however, by a paucity of genetic and transgenic reagents. Here we describe a collection of transgenic and genetic strains generated to facilitate genetic studies within and between these species. We have generated many strains of each species containing mapped piggyBac transposons including an enhanced yellow fluorescent protein gene expressed in the eyes and a phiC31 attP site-specific integration site. We have tested a subset of these lines for integration efficiency and reporter gene expression levels. We have also generated a smaller collection of other lines expressing other genetically encoded fluorescent molecules in the eyes and a number of other transgenic reagents that will be useful for functional studies in these species. In addition, we have mapped the insertion locations of 58 transposable elements in D. virilis that will be useful for genetic mapping studies.

}, issn = {2160-1836}, doi = {10.1534/g3.116.038885}, author = {Stern, David L and Crocker, Justin and Ding, Yun and Frankel, Nicol{\'a}s and Kappes, Gretchen and Kim, Elizabeth and Kuzmickas, Ryan and Lemire, Andrew and Mast, Joshua D and Picard, Serge} } @article {48920, title = {Nuclear microenvironments modulate transcription from low-affinity enhancers.}, journal = {eLife}, volume = {6}, year = {2017}, month = {2017 Nov 02}, abstract = {

Transcription factors bind low-affinity DNA sequences for only short durations. It is not clear how brief, low-affinity interactions can drive efficient transcription. Here we report that the transcription factor Ultrabithorax (Ubx) utilizes low-affinity binding sites in the Drosophila melanogastershavenbaby (svb) locus and related enhancers in nuclear microenvironments of high Ubx concentrations. Related enhancers colocalize to the same microenvironments independently of their chromosomal location, suggesting that microenvironments are highly differentiated transcription domains. Manipulating the affinity of svb enhancers revealed an inverse relationship between enhancer affinity and Ubx concentration required for transcriptional activation. The Ubx cofactor, Homothorax (Hth), was co-enriched with Ubx near enhancers that require Hth, even though Ubx and Hth did not co-localize throughout the nucleus. Thus, microenvironments of high local transcription factor and cofactor concentrations could help low-affinity sites overcome their kinetic inefficiency. Mechanisms that generate these microenvironments could be a general feature of eukaryotic transcriptional regulation.

}, issn = {2050-084X}, doi = {10.7554/eLife.28975}, author = {Tsai, Albert and Muthusamy, Anand K and Alves, Mariana Rp and Lavis, Luke D and Singer, Robert H and Stern, David L and Crocker, Justin} } @article {47287, title = {Quantitatively predictable control of Drosophila transcriptional enhancers in vivo with engineered transcription factors.}, journal = {Nature Genetics}, year = {2016}, month = {2016 Feb 8}, abstract = {

Genes are regulated by transcription factors that bind to regions of genomic DNA called enhancers. Considerable effort is focused on identifying transcription factor binding sites, with the goal of predicting gene expression from DNA sequence. Despite this effort, general, predictive models of enhancer function are currently lacking. Here we combine quantitative models of enhancer function with manipulations using engineered transcription factors to examine the extent to which enhancer function can be controlled in a quantitatively predictable manner. Our models, which incorporate few free parameters, can accurately predict the contributions of ectopic transcription factor inputs. These models allow the predictable {\textquoteright}tuning{\textquoteright} of enhancers, providing a framework for the quantitative control of enhancers with engineered transcription factors.

}, issn = {1546-1718}, doi = {10.1038/ng.3509}, author = {Crocker, Justin and Ilsley, Garth R and Stern, David L} } @article {47264, title = {The soft touch: low-affinity transcription factor binding sites in development and evolution.}, journal = {Current Topics in Developmental Biology}, year = {2016}, month = {2016 Jan 07}, abstract = {

Transcription factor proteins regulate gene expression by binding to specific DNA regions. Most studies of transcription factor binding sites have focused on the highest affinity sites for each factor. There is abundant evidence, however, that binding sites with a range of affinities, including very low affinities, are critical to gene regulation. Here, we present the theoretical and experimental evidence for the importance of low-affinity sites in gene regulation and development. We also discuss the implications of the widespread use of low-affinity sites in eukaryotic genomes for robustness, precision, specificity, and evolution of gene regulation.

}, doi = {10.1016/bs.ctdb.2015.11.018}, author = {Crocker, Justin and Preger-Ben Noon, Ella and Stern, David L} } @article {45847, title = {Low affinity binding site clusters confer Hox specificity and regulatory robustness.}, journal = {Cell}, volume = {160}, year = {2015}, month = {2015 Jan 15}, pages = {191-203}, abstract = {

In animals, Hox transcription factors define regional identity in distinct anatomical domains. How Hox genes encode this specificity is a paradox, because different Hox proteins bind with high affinity in\ vitro to similar DNA sequences. Here, we demonstrate that the Hox protein Ultrabithorax (Ubx) in complex with its cofactor Extradenticle (Exd) bound specifically to clusters of very low affinity sites in enhancers of the shavenbaby gene of Drosophila. These low affinity sites conferred specificity for Ubx binding in\ vivo, but multiple clustered sites were required for robust expression when embryos developed in\ variable environments. Although most individual Ubx binding sites are not evolutionarily conserved, the overall enhancer architecture-clusters of low affinity binding sites-is maintained and required for enhancer function. Natural selection therefore works at the level of the enhancer, requiring a particular density of low affinity Ubx sites to confer both specific and robust expression.

}, issn = {1097-4172}, doi = {10.1016/j.cell.2014.11.041}, author = {Crocker, Justin and Abe, Namiko and Rinaldi, Lucrezia and McGregor, Alistair P and Frankel, Nicol{\'a}s and Wang, Shu and Alsawadi, Ahmad and Valenti, Philippe and Plaza, Serge and Payre, Fran{\c c}ois and Mann, Richard S and Stern, David L} } @article {65031, title = {A Schnurri/Mad/Medea complex attenuates the dorsal-twist gradient readout at vnd.}, journal = {Dev Biol}, volume = {378}, year = {2013}, month = {2013 Jun 01}, pages = {64-72}, abstract = {

Morphogen gradients are used in developing embryos, where they subdivide a field of cells into territories characterized by distinct cell fate potentials. Such systems require both a spatially-graded distribution of the morphogen, and an ability to encode different responses at different target genes. However, the potential for different temporal responses is also present because morphogen gradients typically provide temporal cues, which may be a potential source of conflict. Thus, a low threshold response adapted for an early temporal onset may be inappropriate when the desired spatial response is a spatially-limited, high-threshold expression pattern. Here, we identify such a case with the Drosophila vnd locus, which is a target of the dorsal (dl) nuclear concentration gradient that patterns the dorsal/ventral (D/V) axis of the embryo. The vnd gene plays a critical role in the "ventral dominance" hierarchy of vnd, ind, and msh, which individually specify distinct D/V neural columnar fates in increasingly dorsal ectodermal compartments. The role of vnd in this regulatory hierarchy requires early temporal expression, which is characteristic of low-threshold responses, but its specification of ventral neurogenic ectoderm demands a relatively high-threshold response to dl. We show that the Neurogenic Ectoderm Enhancer (NEE) at vnd takes additional input from the complementary Dpp gradient via a conserved Schnurri/Mad/Medea silencer element (SSE) unlike NEEs at brk, sog, rho, and vn. These results show how requirements for conflicting temporal and spatial responses to the same gradient can be solved by additional inputs from complementary gradients.

}, keywords = {Animals, Base Sequence, Computational Biology, DNA-Binding Proteins, Drosophila melanogaster, Drosophila Proteins, Ectoderm, Enhancer Elements, Genetic, Gene Expression Profiling, Gene Expression Regulation, Developmental, Gene Silencing, Homeodomain Proteins, Molecular Sequence Data, Smad4 Protein, Time Factors, Tissue Distribution, Transcription Factors}, issn = {1095-564X}, doi = {10.1016/j.ydbio.2013.03.002}, author = {Crocker, Justin and Erives, Albert} } @article {6089, title = {TALE-mediated modulation of transcriptional enhancers in vivo.}, journal = {Nature Methods}, volume = {10}, year = {2013}, month = {2013 Jun 30}, pages = {762-7}, abstract = {

We tested whether transcription activator-like effectors (TALEs) could mediate repression and activation of endogenous enhancers in the Drosophila genome. TALE repressors (TALERs) targeting each of the five even-skipped (eve) stripe enhancers generated repression specifically of the focal stripes. TALE activators (TALEAs) targeting the eve promoter or enhancers caused increased expression primarily in cells normally activated by the promoter or targeted enhancer, respectively. This effect supports the view that repression acts in a dominant fashion on transcriptional activators and that the activity state of an enhancer influences TALE binding or the ability of the VP16 domain to enhance transcription. In these assays, the Hairy repression domain did not exhibit previously described long-range transcriptional repression activity. The phenotypic effects of TALER and TALEA expression in larvae and adults are consistent with the observed modulations of eve expression. TALEs thus provide a novel tool for detection and functional modulation of transcriptional enhancers in their native genomic context.

}, issn = {1548-7105}, doi = {10.1038/nmeth.2543}, author = {Crocker, Justin and Stern, David L} }