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Scattering studies with low-energy kaon-proton femtoscopy in
proton–proton collisions at the LHC
(2019)
The study of the strength and behaviour of the antikaon-nucleon (K¯¯¯¯N) interaction constitutes one of the key focuses of the strangeness sector in low-energy Quantum Chromodynamics (QCD). In this letter a unique high-precision measurement of the strong interaction between kaons and protons, close and above the kinematic threshold, is presented. The femtoscopic measurements of the correlation function at low pair-frame relative momentum of (K+ p ⊕ K− p¯¯¯) and (K− p ⊕ K+ p¯¯¯) pairs measured in pp collisions at s√ = 5, 7 and 13 TeV are reported. A structure observed around a relative momentum of 58 MeV/c in the measured correlation function of (K− p ⊕ K+ p¯¯¯) constitutes the first experimental evidence for the opening of the (K¯¯¯¯0n⊕K0n¯¯¯) isospin breaking channel due to the mass difference between charged and neutral kaons. The measured correlation functions have been compared to several models. The high-precision data at low relative momenta presented in this work prove femtoscopy to be a powerful complementary tool to scattering experiments and provide new constraints above the K¯¯¯¯N threshold for low-energy QCD chiral models.
Scattering studies with low-energy kaon-proton femtoscopy in proton–proton collisions at the LHC
(2020)
The study of the strength and behaviour of the antikaon-nucleon (K¯¯¯¯N) interaction constitutes one of the key focuses of the strangeness sector in low-energy Quantum Chromodynamics (QCD). In this letter a unique high-precision measurement of the strong interaction between kaons and protons, close and above the kinematic threshold, is presented. The femtoscopic measurements of the correlation function at low pair-frame relative momentum of (K+ p ⊕ K− p¯¯¯) and (K− p ⊕ K+ p¯¯¯) pairs measured in pp collisions at s√ = 5, 7 and 13 TeV are reported. A structure observed around a relative momentum of 58 MeV/c in the measured correlation function of (K− p ⊕ K+ p¯¯¯) with a significance of 4.4. σ constitutes the first experimental evidence for the opening of the (K¯¯¯¯0n⊕K0n¯¯¯) isospin breaking channel due to the mass difference between charged and neutral kaons. The measured correlation functions have been compared to Jülich and Kyoto models in addition to the Coulomb potential. The high-precision data at low relative momenta presented in this work prove femtoscopy to be a powerful complementary tool to scattering experiments and provide new constraints above the K¯¯¯¯N threshold for low-energy QCD chiral models.
Direct photon production at mid-rapidity in Pb–Pb collisions at √sNN=2.76 TeV was studied in the transverse momentum range 0.9<pT<14 GeV/c. Photons were detected with the highly segmented electromagnetic calorimeter PHOS and via conversions in the ALICE detector material with the e+e− pair reconstructed in the central tracking system. The results of the two methods were combined and direct photon spectra were measured for the 0–20%, 20–40%, and 40–80% centrality classes. For all three classes, agreement was found with perturbative QCD calculations for pT≳5 GeV/c. Direct photon spectra down to pT≈1 GeV/c could be extracted for the 20–40% and 0–20% centrality classes. The significance of the direct photon signal for 0.9<pT<2.1 GeV/c is 2.6σ for the 0–20% class. The spectrum in this pT range and centrality class can be described by an exponential with an inverse slope parameter of (297±12stat±41syst) MeV. State-of-the-art models for photon production in heavy-ion collisions agree with the data within uncertainties.
Even one century after Santiago Ramón y Cajal’s groundbreaking contribu- tions to neuroscience, one of the most fundamental questions in the field is still largely open, namely understanding how the shape of a dendrite is adapted to its specific biological function. A systematic investigation of this problem is challenging both technically and conceptually because neurons have diverse genetic, molecular, morphological, connectional and functional properties.
In the light of the preceding, dendritic arborisation (da) neurons of the Drosophila melanogaster larva PNS have proven to be an excellent model system for the study of such growth and patterning processes. Structure and function in these cell classes are intimately intertwined, as class type-specific dendritic arbour differentiation processes are required to satisfy a given phys- iological need. Also, there is a remarkable genetic toolkit that enables one to selectively and reproducibly label, image and manipulate each one of these sensory neuron classes. In this thesis, I address the aforementioned open problem by linking single-cell patterning, information processing and wiring optimisation in sensory da neurons to behaviour in Drosophila larva.
In particular, I study Class I ventral peripherical dendritic arborisation (c1vpda) neurons. These are a class of proprioceptive neurons that relay information on the position of the larva’s body back to the CNS during crawling behaviour to assure proper locomotion. Their stereotypical comb- like shaped dendritic branches spread along the body-wall, and they get noticeably deformed during crawling behaviour. The bending of the den- dritic branches is hypothesised to be a possible mechanism to transduce the mechanosensory inputs arising from cuticle folding. Interestingly, c1vpda neurons do not necessarily satisfy optimal wiring constraints since they are required to pattern into a specific shape to fulfil their function. Therefore, I considered the da system to study how the specific functional requirements may be combined with optimal wiring constraints during development.
Although the molecular machinery of dendrite patterning in c1vpda neurons is well studied, the precise elaboration of the comb-like shaped dendrites of these cells remains elusive. Moreover, even though a lot of work has been put into the description and quantification of growth processes of the nervous system, there are still few solid and standardised models of arbour staging and patterning. Importantly, the defining parameters that determine the dendrite elaboration program that in turn is responsible for creating the final arbour morphology are still unknown. As a result, unraveling possible universal stages of dendrite elaboration shared between different model systems and cell types is challenging.
Thus, in order to understand the development of the fine regulation of branch outgrowth that leads to the observed terminal arbour morphology in the mature cell, I collected in vivo, long-term, non-invasive high temporal res- olution time-lapse recordings of dendritic trees during the differentiation process in the embryo and its maturation phase in the larva. For further analysis, I developed new algorithms that quantified the structural changes in dendrite morphology in the time-lapse videos. My approach provides a framework to analyse such developmental data, or any dataset comprising continuous morphological dynamical processes in an unbiased way. Using these newly developed methods, I examined the development of a sample of c1vpda cells and identified five stages of differentiation in these data: initial stem polarization, extension, pruning, stabilization, and isometric stretching during larval stages.
The beginning of the growth process is marked by the polarisation of the main stem. Subsequently, during the extension phase, branches emerge interstitially from the existing main stem. Later, higher-order branches sprout from pre-existing lateral branches, increasing arbour complexity. This is followed by a pruning stage where developmental intermediate dendritic branches are removed. This step leads to a spatial rearrangement of the dendritic tree. The end of the pruning step is followed by a stabilisation period where arbour morphology remains virtually unaltered in the embryo. After hatching, c1vpda dendrites experience an isometric scaling, with their branching complexity and pattern being invariant across all larval stages.
After dissecting the c1vpda dendrites spatiotemporal differentiation process, I established a link between dendritic shape and behaviour. I measured intra- cellular Ca++ activity in the dendrite branches of l1 larvae during forward locomotion, while simultaneously recording branch deformation using a dual genetic line. I reported that post-embryonic c1vpda dendrites Ca++ responses increased in freely crawling larvae. Furthermore, I showed strong correlations between Ca++ signal and deformation of the comb-like dendritic ranches during body-wall contractions.
Then, using a geometrical model, I provided evidence that the pruning stage could reorganise the dendrite morphology to maximise mechanosensory re- sponses during body wall contraction. I showed that the angle orientation of each side branch correlates with the bending curvature and thus with the me- chanical displacement of the cell membrane during locomotion. During the pruning phase, I observed a preferential reduction of less efficient branches with low bending curvature, influencing the mechanisms of dendritic sig- nal integration of c1vpda sensory neurons. I proceeded to quantify branch dynamics at single tip resolution during pruning, providing evidence that a simple random pruning mechanism is sufficient to remodel the tree structure compatible with the observed way.
I used these time-lapse data to constrain a new computational noisy growth model with random pruning based on optimal wiring principles. This model is able to generate highly realistic synthetic c1vpda morphologies. The model furthermore requires few parameters to generate highly accurate temporal development trajectories and morphologies at single-cell level. Utilising this data and model enabled me to investigate upon the hypothesis that a noisy dendrite growth and random pruning mechanism synergise to achieve den- dritic trees efficient in terms of both wiring and function. My findings show how single neurons can create functionally specialised dendrites while min- imising wiring costs, elucidating how general principles of self-organisation may be involved in the generation of these structures.
The cytoskeleton is crucial for defining neuronal-type-specific dendrite morphologies. To explore how the complex interplay of actin-modulatory proteins (AMPs) can define neuronal types in vivo, we focused on the class III dendritic arborization (c3da) neuron of Drosophila larvae. Using computational modeling, we reveal that the main branches (MBs) of c3da neurons follow general models based on optimal wiring principles, while the actin-enriched short terminal branches (STBs) require an additional growth program. To clarify the cellular mechanisms that define this second step, we thus concentrated on STBs for an in-depth quantitative description of dendrite morphology and dynamics. Applying these methods systematically to mutants of six known and novel AMPs, we revealed the complementary roles of these individual AMPs in defining STB properties. Our data suggest that diverse dendrite arbors result from a combination of optimal-wiring-related growth and individualized growth programs that are neuron-type specific.
Achieving functional neuronal dendrite structure through sequential stochastic growth and retraction
(2020)
Class I ventral posterior dendritic arborisation (c1vpda) proprioceptive sensory neurons respond to contractions in the Drosophila larval body wall during crawling. Their dendritic branches run along the direction of contraction, possibly a functional requirement to maximise membrane curvature during crawling contractions. Although the molecular machinery of dendritic patterning in c1vpda has been extensively studied, the process leading to the precise elaboration of their comb-like shapes remains elusive. Here, to link dendrite shape with its proprioceptive role, we performed long-term, non-invasive, in vivo time-lapse imaging of c1vpda embryonic and larval morphogenesis to reveal a sequence of differentiation stages. We combined computer models and dendritic branch dynamics tracking to propose that distinct sequential phases of stochastic growth and retraction achieve efficient dendritic trees both in terms of wire and function. Our study shows how dendrite growth balances structure–function requirements, shedding new light on general principles of self-organisation in functionally specialised dendrites.
Dendrites display a striking variety of neuronal type-specific morphologies, but the mechanisms and principles underlying such diversity remain elusive. A major player in defining the morphology of dendrites is the neuronal cytoskeleton, including evolutionarily conserved actin-modulatory proteins (AMPs). Still, we lack a clear understanding of how AMPs might support developmental phenomena such as neuron-type specific dendrite dynamics. To address precisely this level of in vivo specificity, we concentrated on a defined neuronal type, the class III dendritic arborisation (c3da) neuron of Drosophila larvae, displaying actin-enriched short terminal branchlets (STBs). Computational modelling reveals that the main branches of c3da neurons follow a general growth model based on optimal wiring, but the STBs do not. Instead, model STBs are defined by a short reach and a high affinity to grow towards the main branches. We thus concentrated on c3da STBs and developed new methods to quantitatively describe dendrite morphology and dynamics based on in vivo time-lapse imaging of mutants lacking individual AMPs. In this way, we extrapolated the role of these AMPs in defining STB properties. We propose that dendrite diversity is supported by the combination of a common step, refined by a neuron type-specific second level. For c3da neurons, we present a molecular model of how the combined action of multiple AMPs in vivo define the properties of these second level specialisations, the STBs.
Achieving functional neuronal dendrite structure through sequential stochastic growth and retraction
(2020)
Class I ventral posterior dendritic arborisation (c1vpda) proprioceptive sensory neurons respond to contractions in the Drosophila larval body wall during crawling. Their dendritic branches run along the direction of contraction, possibly a functional requirement to maximise membrane curvature during crawling contractions. Although the molecular machinery of dendritic patterning in c1vpda has been extensively studied, the process leading to the precise elaboration of their comb-like shapes remains elusive. Here, to link dendrite shape with its proprioceptive role, we performed long-term, non-invasive, in vivo time-lapse imaging of c1vpda embryonic and larval morphogenesis to reveal a sequence of differentiation stages. We combined computer models and dendritic branch dynamics tracking to propose that distinct sequential phases of targeted growth and stochastic retraction achieve efficient dendritic trees both in terms of wire and function. Our study shows how dendrite growth balances structure–function requirements, shedding new light on general principles of self-organisation in functionally specialised dendrites.