Rapid Generation of Somatic Mouse Mosaics with Locus-Specific, Stably Integrated Transgenic Elements.

In situ transgenesis methods such as viruses and electroporation can rapidly create somatic transgenic mice but lack control over copy number, zygosity, and locus specificity. Here we establish mosaic analysis by dual recombinase-mediated cassette exchange (MADR), which permits stable labeling of mutant cells expressing transgenic elements from precisely defined chromosomal loci. We provide a toolkit of MADR elements for combination labeling, inducible and reversible transgene manipulation, VCre recombinase expression, and transgenesis of human cells. Further, we demonstrate the versatility of MADR by creating glioma models with mixed reporter-identified zygosity or with "personalized" driver mutations from pediatric glioma. MADR is extensible to thousands of existing mouse lines, providing a flexible platform to democratize the generation of somatic mosaic mice. VIDEO ABSTRACT.

Dual ifgMosaic: A Versatile Method for Multispectral and Combinatorial Mosaic Gene-Function Analysis.

Improved methods for manipulating and analyzing gene function have provided a better understanding of how genes work during organ development and disease. Inducible functional genetic mosaics can be extraordinarily useful in the study of biological systems; however, this experimental approach is still rarely used in vertebrates. This is mainly due to technical difficulties in the assembly of large DNA constructs carrying multiple genes and regulatory elements and their targeting to the genome. In addition, mosaic phenotypic analysis, unlike classical single gene-function analysis, requires clear labeling and detection of multiple cell clones in the same tissue. Here, we describe several methods for the rapid generation of transgenic or gene-targeted mice and embryonic stem (ES) cell lines containing all the necessary elements for inducible, fluorescent, and functional genetic mosaic (ifgMosaic) analysis. This technology enables the interrogation of multiple and combinatorial gene function with high temporal and cellular resolution.

Multicolor lineage tracing using in vivo time-lapse imaging reveals coordinated death of clonally related cells in the developing vertebrate brain.

The global mechanisms that regulate and potentially coordinate cell proliferation & death in developing neural regions are not well understood. In particular, it is not clear how or whether clonal relationships between neural progenitor cells and their progeny influence the growing brain. We have developed an approach using Brainbow in the developing zebrafish to visualize and follow multiple clones of related cells in vivo over time. This allows for clear visualization of many dividing clones of cells, deep in proliferating brain regions. As expected, in addition to undergoing interkinetic nuclear migration and cell division, cells also periodically undergo apoptosis. Interestingly, cell death occurs in a non-random manner: clonally related cells are more likely to die in a progressive fashion than cells from different clones. Multiple members of an individual clone die while neighboring clones appear healthy and continue to divide. Our results suggest that clonal relationships can influence cellular fitness and survival in the developing nervous system, perhaps through a competitive mechanism whereby clones of cells are competing with other clones. Clonal cell competition may help regulate neuronal proliferation in the vertebrate brain.

Bimodal behaviour of interfollicular epidermal progenitors regulated by hair follicle position and cycling.

Interfollicular epidermal (IFE) homeostasis is a major physiological process allowing maintenance of the skin barrier function. Despite progress in our understanding of stem cell populations in different hair follicle compartments, cellular mechanisms of IFE maintenance, in particular, whether a hierarchy of progenitors exists within this compartment, have remained controversial. We here used multicolour lineage tracing with Brainbow transgenic labels activated in the epidermis to track individual keratinocyte clones. Two modes of clonal progression could be observed in the adult murine dorsal skin. Clones attached to hair follicles showed rapid increase in size during the growth phase of the hair cycle. On the other hand, clones distant from hair follicles were slow cycling, but could be mobilized by a proliferative stimulus. Reinforced by mathematical modelling, these data support a model where progenitor cycling characteristics are differentially regulated in areas surrounding or away from growing hair follicles. Thus, while IFE progenitors follow a non-hierarchical mode of development, spatiotemporal control by their environment can change their potentialities, with far-reaching implications for epidermal homeostasis, wound repair and cancer development.

Seeing the Confetti Colors in a New Light Utilizing Flow Cytometry and Imaging Flow Cytometry.

Stochastic multicolor transgenic labeling systems, such as the Brainbow reporters, have emerged as powerful tools in lineage tracing experiments. Originally designed for large-scale mapping of neuronal projections in densely populated tissues, they have been repurposed for diverse uses. The Brainbow 2.1-derived Confetti reporter was used, for example, to define stem cell clonality and dynamics in crypts of the intestinal mucosa, T-cell clonality, microglial heterogeneity, and B-cell clonal evolution in germinal centers. Traditionally, read-outs have relied on imaging in situ, providing information about cellular localization within tissue stroma. However, recent applications of the technique have moved into hematopoietically derived motile cell types, for example, T and B lymphocytes and their progeny, creating an unmet need to survey larger populations of cells ex vivo to determine labeling densities or skews in color representation over time to read-out clonal expansion and selection effects. Originally designed for imaging methods, these reporters encode information in the spectral properties of fluorophores and their subcellular localization, making them poorly suited to traditional flow cytometry analyses. The advent of high-content imaging and imaging flow cytometry have recently closed the gap between flow cytometry and imaging. We analyzed a 10-color biallelic Confetti reporter using flow and imaging flow cytometry. Beyond its use as a high-throughput method for measuring reporter labeling densities and color distributions over time, it also opens the door to new avenues of research relying on similar read-outs, for example, tumor heterogeneity and clonal dynamics. © 2020 International Society for Advancement of Cytometry.

Multicolor mapping of the cardiomyocyte proliferation dynamics that construct the atrium.

The orchestrated division of cardiomyocytes assembles heart chambers of distinct morphology. To understand the structural divergence of the cardiac chambers, we determined the contributions of individual embryonic cardiomyocytes to the atrium in zebrafish by multicolor fate-mapping and we compare our analysis to the established proliferation dynamics of ventricular cardiomyocytes. We find that most atrial cardiomyocytes become rod-shaped in the second week of life, generating a single-muscle-cell-thick myocardial wall with a striking webbed morphology. Inner pectinate myofibers form mainly by direct branching, unlike delamination events that create ventricular trabeculae. Thus, muscle clones assembling the atrial chamber can extend from wall to lumen. As zebrafish mature, atrial wall cardiomyocytes proliferate laterally to generate cohesive patches of diverse shapes and sizes, frequently with dominant clones that comprise 20-30% of the wall area. A subpopulation of cardiomyocytes that transiently express atrial myosin heavy chain (amhc) contributes substantially to specific regions of the ventricle, suggesting an unappreciated level of plasticity during chamber formation. Our findings reveal proliferation dynamics and fate decisions of cardiomyocytes that produce the distinct architecture of the atrium.

Decoupled epineurial and axonal deformation in mouse median and ulnar nerves.

INTRODUCTION: Peripheral nerves accommodate mechanical loads during joint movement. Hypothesized protective features include increased nerve compliance near joints and axonal undulation. How axons perceive nerve deformation is poorly understood. We tested whether nerves increase local axonal undulation in regions of high epineurial strain to protect nerve fibers from strain-induced damage. METHODS: Regional epineurial strain was measured near the elbow in median and ulnar nerves of mice expressing axonal fluorescence before and after decompression. Regional axonal tortuosity was quantified under confocal microscopy. RESULTS: Nerves showed higher epineurial strain just distal to the medial epicondyle; these differences were eliminated after decompression. Axonal tortuosity also varied regionally; however, unlike in the epineurium, it was greater in proximal regions. DISCUSSION: In this study we have proposed a neuromechanical model whereby axons can unravel along their entire length due to looser mechanical coupling to the peri/epineurium. Our findings have major implications for understanding nerve biomechanics and dysfunction. Muscle Nerve 59:619-619, 2019.

Guidelines and best practices in successfully using Zebrabow for lineage tracing multiple cells within tissues.

Labelling cells and following their progeny, also known as lineage tracing, has provided important insights into the cellular origins of tissues. Traditional lineage tracing experiments have been limited to following single or small groups of cells with classic techniques such as dye injections and Cre/LoxP labelling of cells of interest. Brainbow is a fluorescent dependent, lineage tracing technique that allows a broader visualization and analysis of multiple cells within a tissue, initially deployed to examine lineages within neural tissues. This technique has now been adapted to zebrafish (Zebrabow) and takes advantages of the imaging capabilities that this system provides over other animal models. In this paper we shall describe how Zebrabow is performed as well as some guides on some of the common pitfalls encountered when using this labelling strategy.

RoMo: An efficient strategy for functional mosaic analysis via stochastic Cre recombination and gene targeting in the ROSA26 locus.

Functional mosaic analysis allows for the direct comparison of mutant cells with differentially marked control cells in the same organism. While this offers a powerful approach for elucidating the role of specific genes or signalling pathways in cell populations of interest, genetic strategies for generating functional mosaicism remain challenging. We describe a novel and streamlined approach for functional mosaic analysis, which combines stochastic Cre/lox recombination with gene targeting in the ROSA26 locus. With the RoMo strategy a cell population of interest is randomly split into a cyan fluorescent and red fluorescent subset, of which the latter overexpresses a chosen transgene. To integrate this approach into high-throughput gene targeting initiatives, we developed a procedure that utilizes Gateway cloning for the generation of new targeting vectors. RoMo can be used for gain-of-function experiments or for altering signaling pathways in a mosaic fashion. To demonstrate this, we developed RoMo-dnGs mice, in which Cre-recombined red fluorescent cells co-express a dominant-negative Gs protein. RoMo-dnGs mice allowed us to inhibit G protein-coupled receptor activation in a fraction of cells, which could then be directly compared to differentially marked control cells in the same animal. We demonstrate how RoMo-dnGs mice can be used to obtain mosaicism in the brain and in peripheral organs for various cell types. RoMo offers an efficient new approach for functional mosaic analysis that extends the current toolbox and may reveal important new insights into in vivo gene function.

The cell-permeable Aß1-6A2VTAT(D) peptide reverts synaptopathy induced by Aß1-42wt.

Alzheimer disease (AD) is the most prevalent form of dementia. Loss of hippocampal synapses is the first neurodegenerative event in AD. Synaptic loss has been associated with the accumulation in the brain parenchyma of soluble oligomeric forms of amyloid ß peptide (Aß1-42wt). Clinical observations have shown that a mutation in the APP protein (A673V) causes an early onset AD-type dementia in homozygous carriers while heterozygous carriers are unaffected. This mutation leads to the formation of mutated Aß peptides (Aß1-42A2V) in homozygous patients, while in heterozygous subjects both Aß1-42wt and Aß1-42A2V are present. To better understand the impact of the A673V mutation in AD, we analyzed the synaptotoxic effect of oligomers formed by aggregation of different Aß peptides (Aß1-42wt or Aß1-42A2V) and the combination of the two Aß1-42MIX (Aß1-42wt and Aß1-42A2V) in an in vitro model of synaptic injury. We showed that Aß1-42A2V oligomers are more toxic than Aß1-42wt oligomers in hippocampal neurons, confirming the results previously obtained in cell lines. Furthermore, we reported that oligomers obtained by the combination of both wild type and mutated peptides (Aß1-42MIX) did not exert synaptic toxicity. We concluded that the combination of Aß1-42wt and Aß1-42A2V peptides hinders the toxicity of Aß1-42A2V and counteracts the manifestation of synaptopathy in vitro. Finally we took advantage of this finding to generate a cell-permeable peptide for clinical application, by fusing the first six residues of the Aß1-42A2V to the TAT cargo sequence (Aß1-6A2VTAT(D)). Noteworthy, the treatment with Aß1-6A2VTAT(D) confers neuroprotection against both in vitro and in vivo synaptopathy models. Therefore Aß1-6A2VTAT(D) may represent an innovative therapeutic tool to prevent synaptic degeneration in AD.

Zebrabow: multispectral cell labeling for cell tracing and lineage analysis in zebrafish.

Advances in imaging and cell-labeling techniques have greatly enhanced our understanding of developmental and neurobiological processes. Among vertebrates, zebrafish is uniquely suited for in vivo imaging owing to its small size and optical translucency. However, distinguishing and following cells over extended time periods remains difficult. Previous studies have demonstrated that Cre recombinase-mediated recombination can lead to combinatorial expression of spectrally distinct fluorescent proteins (RFP, YFP and CFP) in neighboring cells, creating a 'Brainbow' of colors. The random combination of fluorescent proteins provides a way to distinguish adjacent cells, visualize cellular interactions and perform lineage analyses. Here, we describe Zebrabow (Zebrafish Brainbow) tools for in vivo multicolor imaging in zebrafish. First, we show that the broadly expressed ubi:Zebrabow line provides diverse color profiles that can be optimized by modulating Cre activity. Second, we find that colors are inherited equally among daughter cells and remain stable throughout embryonic and larval stages. Third, we show that UAS:Zebrabow lines can be used in combination with Gal4 to generate broad or tissue-specific expression patterns and facilitate tracing of axonal processes. Fourth, we demonstrate that Zebrabow can be used for long-term lineage analysis. Using the cornea as a model system, we provide evidence that embryonic corneal epithelial clones are replaced by large, wedge-shaped clones formed by centripetal expansion of cells from the peripheral cornea. The Zebrabow tool set presented here provides a resource for next-generation color-based anatomical and lineage analyses in zebrafish.

Neurolight -astonishing advances in brain imaging.

In recent years, significant advances in basic neuroanatomical studies have taken place. Moreover, such classical, clinically-oriented human brain imaging methods such as MRI, PET and DTI have been applied to small laboratory animals allowing improvement in current experimental neuroscience. Contemporary structural neurobiology also uses various technologies based on fluorescent proteins. One of these is optogenetics, which integrates physics, genetics and bioengineering to enable temporal precise control of electrical activity of specific neurons. Another important challenge in the field is the accurate imaging of complicated neural networks. To address this problem, three-dimensional reconstruction techniques and retrograde labeling with modified viruses has been developed. However, a revolutionary step was the invention of the "Brainbow" system, utilizing gene constructs including the sequences of fluorescent proteins and the usage of Cre recombinase to create dozens of colour combinations, enabling visualization of neurons and their connections in extremely high resolution. Furthermore, the newly- introduced CLARITY method should make it possible to visualize three-dimensionally the structure of translucent brain tissue using the hydrogel polymeric network. This original technique is a big advance in neuroscience creating novel viewpoints completely different than standard glass slide immunostaining.

A system of feed-forward cerebellar circuits that extend and diversify sensory signaling.

Sensory signals are processed by the cerebellum to coordinate movements. Numerous cerebellar functions are thought to require the maintenance of a sensory representation that extends beyond the input signal. Granule cells receive sensory input, but they do not prolong the signal and are thus unlikely to maintain a sensory representation for much longer than the inputs themselves. Unipolar brush cells (UBCs) are excitatory interneurons that project to granule cells and transform sensory input into prolonged increases or decreases in firing, depending on their ON or OFF UBC subtype. Further extension and diversification of the input signal could be produced by UBCs that project to one another, but whether this circuitry exists is unclear. Here we test whether UBCs innervate one another and explore how these small networks of UBCs could transform spiking patterns. We characterized two transgenic mouse lines electrophysiologically and immunohistochemically to confirm that they label ON and OFF UBC subtypes and crossed them together, revealing that ON and OFF UBCs innervate one another. A Brainbow reporter was used to label UBCs of the same ON or OFF subtype with different fluorescent proteins, which showed that UBCs innervate their own subtypes as well. Computational models predict that these feed-forward networks of UBCs extend the length of bursts or pauses and introduce delays-transformations that may be necessary for cerebellar functions from modulation of eye movements to adaptive learning across time scales.

An experimental platform for stochastic analyses of single serotonergic fibers in the mouse brain.

The self-organization of the serotonergic matrix, a massive axon meshwork in all vertebrate brains, is driven by the structural and dynamical properties of its constitutive elements. Each of these elements, a single serotonergic axon (fiber), has a unique trajectory and can be supported by a soma that executes one of the many available transcriptional programs. This "individuality" of serotonergic neurons necessitates the development of specialized methods for single-fiber analyses, both at the experimental and theoretical levels. We developed an integrated platform that facilitates experimental isolation of single serotonergic fibers in brain tissue, including regions with high fiber densities, and demonstrated the potential of their quantitative analyses based on stochastic modeling. Single fibers were visualized using two transgenic mouse models, one of which is the first implementation of the Brainbow toolbox in this system. The trajectories of serotonergic fibers were automatically traced in the three spatial dimensions with a novel algorithm, and their properties were captured with a single parameter associated with the directional von Mises-Fisher probability distribution. The system represents an end-to-end workflow that can be imported into various studies, including those investigating serotonergic dysfunction in brain disorders. It also supports new research directions inspired by single-fiber analyses in the serotonergic matrix, including supercomputing simulations and modeling in physics.

Multi-Photon Microscopy.

In this series of papers on light microscopy imaging, we have covered the fundamentals of microscopy, super-resolution microscopy, and lightsheet microscopy. This last review covers multi-photon microscopy with a brief reference to intravital imaging and Brainbow labeling. Multi-photon microscopy is often referred to as two-photon microscopy. Indeed, using two-photon microscopy is by far the most common way of imaging thick tissues; however, it is theoretically possible to use a higher number of photons, and three-photon microscopy is possible. Therefore, this review is titled "multi-photon microscopy." Another term for describing multi-photon microscopy is "non-linear" microscopy because fluorescence intensity at the focal spot depends upon the average squared intensity rather than the squared average intensity; hence, non-linear optics (NLO) is an alternative name for multi-photon microscopy. It is this non-linear relationship (or third exponential power in the case of three-photon excitation) that determines the axial optical sectioning capability of multi-photon imaging. In this paper, the necessity for two-photon or multi-photon imaging is explained, and the method of optical sectioning by multi-photon microscopy is described. Advice is also given on what fluorescent markers to use and other practical aspects of imaging thick tissues. The technique of Brainbow imaging is discussed. The review concludes with a description of intravital imaging of the mouse. © 2023 Wiley Periodicals LLC.

Quantitative characterisation of ipRGCs in retinal degeneration using a computation platform for extracting and reconstructing single neurons in 3D from a multi-colour labeled population.

Light has a profound impact on mammalian physiology and behavior. Intrinsically photosensitive retinal ganglion cells (ipRGCs) express the photopigment melanopsin, rendering them sensitive to light, and are involved in both image-forming vision and non-image forming responses to light such as circadian photo-entrainment and the pupillary light reflex. Following outer photoreceptor degeneration, the death of rod and cone photoreceptors results in global re-modeling of the remnant neural retina. Although ipRGCs can continue signaling light information to the brain even in advanced stages of degeneration, it is unknown if all six morphologically distinct subtypes survive, or how their dendritic architecture may be affected. To answer these questions, we generated a computational platform-BRIAN (Brainbow Analysis of individual Neurons) to analyze Brainbow labeled tissues by allowing objective identification of voxels clusters in Principal Component Space, and their subsequent extraction to produce 3D images of single neurons suitable for analysis with existing tracing technology. We show that BRIAN can efficiently recreate single neurons or individual axonal projections from densely labeled tissue with sufficient anatomical resolution for subtype quantitative classification. We apply this tool to generate quantitative morphological information about ipRGCs in the degenerate retina including soma size, dendritic field size, dendritic complexity, and stratification. Using this information, we were able to identify cells whose characteristics match those reported for all six defined subtypes of ipRGC in the wildtype mouse retina (M1-M6), including the rare and complex M3 and M6 subtypes. This indicates that ipRGCs survive outer retinal degeneration with broadly normal morphology. We additionally describe one cell in the degenerate retina which matches the description of the Gigantic M1 cell in Humans which has not been previously identified in rodent.

Bitbow Enables Highly Efficient Neuronal Lineage Tracing and Morphology Reconstruction in Single Drosophila Brains.

Identifying the cellular origins and mapping the dendritic and axonal arbors of neurons have been century old quests to understand the heterogeneity among these brain cells. Current Brainbow based transgenic animals take the advantage of multispectral labeling to differentiate neighboring cells or lineages, however, their applications are limited by the color capacity. To improve the analysis throughput, we designed Bitbow, a digital format of Brainbow which exponentially expands the color palette to provide tens of thousands of spectrally resolved unique labels. We generated transgenic Bitbow Drosophila lines, established statistical tools, and streamlined sample preparation, image processing, and data analysis pipelines to conveniently mapping neural lineages, studying neuronal morphology and revealing neural network patterns with unprecedented speed, scale, and resolution.

Multicolor Labeling and Tracing of Pancreatic Beta-Cell Proliferation in Zebrafish.

During embryogenesis, beta-cells arise from the dorsal and ventral bud originating in the endoderm germ layer. As the animal develops to adulthood, the beta-cell mass dramatically increases. The expansion of the beta-cell population is driven by cell division among the embryonic beta-cells and supplanted by neogenesis from post-embryonic progenitors. Here, we describe a protocol for multicolor clonal analysis in zebrafish to define the contribution of individual embryonic beta-cells to the increase in cell numbers. This technique provides insights into the proliferative history of individual beta-cells in an islet. This insight helps in defining the replicative heterogeneity among individual beta-cells during development. Additionally, the ability to discriminate individual cells based on unique color signatures helps quantify the volume occupied by beta-cells and define the contribution of cellular size to the beta-cell mass.

Morphological plasticity of the tuberoinfundibular dopaminergic neurones in the rat during the oestrous cycle and lactation.

The hypothalamic tuberoinfundibular dopaminergic (TIDA) neurones are critical with respect to regulating prolactin secretion from the anterior pituitary. Under most physiological conditions, they are stimulated by prolactin to release dopamine into the median eminence which subsequently suppresses further prolactin secretion from the lactotrophs. During lactation, the TIDA neurones are known to undergo both electrophysiological and neurochemical changes that alleviate this negative-feedback, thus allowing circulating prolactin levels to rise. The present study aimed to determine whether TIDA neurone morphology, most notably spine density, is also modified during lactation. This was achieved by stereotaxically injecting the arcuate nucleus of female, tyrosine hydroxylase-promoter driven Cre-recombinase transgenic rats with Cre-dependent adeno-associated virus-expressing Brainbow. This resulted in the highly specifici transfection of between 10% and 30% of the TIDA neurones, thus allowing the morphologies on multiple individual neurones to be examined in a single hypothalamic slice. The transfected neurones exhibited a range of complex forms, including a diversity of soma and location of axonal origin. Neuronal spine counting showed that the density of somatic, but not dendritic, spines was significantly higher during lactation than at any other reproductive stage. There was also a significant fall in somatic spine density across the oestrous cycle from dioestrus to oestrus. Although the functional characteristics of the additional somatic spines have not been determined, if, as might be expected, they represent an increased excitatory input to the TIDA neurones, this could have important physiological implications by perhaps supporting altered neurotransmitter release at their neuroendocrine terminals. Enhanced excitatory input may, for example, favour the release of the opioid peptide enkephalin rather than dopamine, which is potentially significant because the expression of the peptide is known to increase in the TIDA neurones during lactation and, in contrast to dopamine, it stimulates rather than inhibits prolactin secretion from the pituitary.

Fast Retrograde Access to Projection Neuron Circuits Underlying Vocal Learning in Songbirds.

Understanding the structure and function of neural circuits underlying speech and language is a vital step toward better treatments for diseases of these systems. Songbirds, among the few animal orders that share with humans the ability to learn vocalizations from a conspecific, have provided many insights into the neural mechanisms of vocal development. However, research into vocal learning circuits has been hindered by a lack of tools for rapid genetic targeting of specific neuron populations to meet the quick pace of developmental learning. Here, we present a viral tool that enables fast and efficient retrograde access to projection neuron populations. In zebra finches, Bengalese finches, canaries, and mice, we demonstrate fast retrograde labeling of cortical or dopaminergic neurons. We further demonstrate the suitability of our construct for detailed morphological analysis, for in vivo imaging of calcium activity, and for multi-color brainbow labeling.